WEBVTT

1
00:00:02.520 --> 00:00:06.480
James Beacham (he/him): Thank you, and now this recording is in progress, so the second session of the day, where we have.

2
00:00:07.919 --> 00:00:15.809
James Beacham (he/him): four different talks about some new LP search results from the elysee the central detectors of the lsc and I am going to stop sharing here.

3
00:00:17.039 --> 00:00:20.940
James Beacham (he/him): And the first one is going to be from Lewis Henry Louis are you there.

4
00:00:22.770 --> 00:00:25.890
Louis Henry: Yes, I am looking to share.

5
00:00:27.300 --> 00:00:29.640
Louis Henry: Okay, so ladies see my slides.

6
00:00:30.030 --> 00:00:31.650
James Beacham (he/him): Fantastic yes please go ahead.

7
00:00:32.310 --> 00:00:40.470
Louis Henry: Okay excellent so good afternoon everyone as to talk about the work that has been ongoing in the RCA project of alleged to be.

8
00:00:41.040 --> 00:00:46.860
Louis Henry: about the reconstruction and physical opportunities to when we records for particles actually downstream of the lead magnets.

9
00:00:47.820 --> 00:00:56.010
Louis Henry: So firstly a quick reminder, this is the I should be detector and run free it looks like this particular journal entry and the intersection point on the left.

10
00:00:56.820 --> 00:01:05.400
Louis Henry: In terms of tracking out as it exactly translates well, we have free tracking systems we got the vertical gator is the closest to the ap.

11
00:01:05.940 --> 00:01:13.410
Louis Henry: Then the utility that is just before the magnet and starts to actually estimate the momentum and, finally, after the magnetic we've got the SCI fi tracker.

12
00:01:13.890 --> 00:01:24.570
Louis Henry: I did not hear talk about the moon's or ego like shall they have more of a political identification mission that these are the three so the doctors were thinking of i'm thinking about tracking system.

13
00:01:25.230 --> 00:01:32.370
Louis Henry: And, depending on the subsystems or us, and he to reconcile to track your track and have many types and the three types were interested in.

14
00:01:32.820 --> 00:01:40.770
Louis Henry: or long downstream anti tracks, for a long trek has some heads in at least the video and the SCI fi and possibly the UK.

15
00:01:41.550 --> 00:01:47.070
Louis Henry: And the US we track is only ut and so folks are typically occasional or London at frys outside of the below.

16
00:01:47.550 --> 00:01:53.220
Louis Henry: And finally, they are the theatrics are all these highlights, and no point before the magnet and.

17
00:01:54.060 --> 00:01:59.850
Louis Henry: Well, just as a reference key shorts so you know, should be so lifetime roughly 10 to the minus 10 seconds.

18
00:02:00.510 --> 00:02:13.470
Louis Henry: When they come from vt K euro construct them typically as 33% long long and 66% down when you ignore other topology so that keeps you kind of an idea or the how you fly in that detects are in currently an edge nodes.

19
00:02:14.220 --> 00:02:24.360
Louis Henry: And the current status, if we have to summarize everything on the table is that well your long tracks your bread and butter in he base so into two levels will trigger I just wanna charge so.

20
00:02:25.290 --> 00:02:28.710
Louis Henry: You have access to long track so you're triggering them, and you can analyze them.

21
00:02:29.400 --> 00:02:36.930
Louis Henry: Down tracks are not have a label and shelter one, and they are they born in short term analysis, which means that you can perfectly do physics on them.

22
00:02:37.260 --> 00:02:52.470
Louis Henry: But it will have less available statistics, because you need something else in your event to trigger Chapter one and, finally, the T tracks that correspond is very large reach between 2.5 meters and eight meters you got nothing there is no analysis that is in the.

23
00:02:53.610 --> 00:02:59.220
Louis Henry: in the usual way of manipulative she they are there is no that is possible and we never see them in the trigger.

24
00:03:00.000 --> 00:03:12.690
Louis Henry: So what can we do well, firstly, we can try to add two tracks to analysis and because, as I said, and tell us a flight distance you suddenly prob region so you have 5.5 meters added to your REACH.

25
00:03:13.560 --> 00:03:21.030
Louis Henry: However, because you have only hit stems from the magnets and you're digging into that X, if you are outside of the US is probably inside the magnet.

26
00:03:21.360 --> 00:03:29.760
Louis Henry: is absolutely not trivial to us and there's a lot of efforts to improve that situation, so you have a poor momentum resolution, it is very difficult vertex thing.

27
00:03:30.120 --> 00:03:36.150
Louis Henry: And also, you get is very larger ghost rates and the lower efficiencies, especially because the algorithms.

28
00:03:36.930 --> 00:03:46.380
Louis Henry: tend to be tuned for particles, coming from a stream so, for example, the standard or reconstruction of tea tracks, the hybrid seating kind of has a purpose is that your article comes from the PV.

29
00:03:47.820 --> 00:03:57.210
Louis Henry: The first step of adding two tracks, and that is is actually proved that we could work on track signal form already available data, so we turn to run so.

30
00:03:57.840 --> 00:04:05.190
Louis Henry: And these are all plots coming from paper that is being written these they they've been reviewed renounce it is our preliminary pots.

31
00:04:05.580 --> 00:04:13.680
Louis Henry: And the goal of this is this is reconstructed on the B2B side Lambda in V2 trips occasional notes with the love dedication reconstructive the tracks.

32
00:04:14.100 --> 00:04:22.680
Louis Henry: And the interest of these methods is that because we have a job, so I actually this bypasses hrt one inch or two issues you're going to trigger very high efficiency with the flip side.

33
00:04:23.160 --> 00:04:28.740
Louis Henry: So you just looking at very nice your moods and see if you can actually reconcile stuff.

34
00:04:29.490 --> 00:04:47.730
Louis Henry: And because you have these vertices that are actually knowing the steps, I was messaging and etc, you see that the mountain resolution before and after applying the constraint fit, which is the decatur fitter in orange there you go from 25 to 30% moment of Resolution on the protein momentum.

35
00:04:48.180 --> 00:04:49.200
Louis Henry: To 10%.

36
00:04:49.560 --> 00:04:59.100
Louis Henry: So really pretty good point, but this is all on simulation and then simulation you also have with of the nanda and another be distributions that are.

37
00:04:59.910 --> 00:05:04.740
Louis Henry: rather nice, I mean the way for the random distribution is of course quite large but still.

38
00:05:05.640 --> 00:05:10.320
Louis Henry: For example, when you have a DK including your pies Eric This is fine as kind of things that you have in them.

39
00:05:11.160 --> 00:05:16.710
Louis Henry: And so, this is all simulation ensures that actually we can expect something that is compatible with.

40
00:05:17.460 --> 00:05:27.420
Louis Henry: corporations and these waves are actually quite interesting in the search bar on the particles because well the narrow you peaks obviously the more precise assertion integrator less background.

41
00:05:28.650 --> 00:05:35.400
Louis Henry: And now the resulting data so same remark, this is preliminary part of a pilot is being reviewed.

42
00:05:36.420 --> 00:05:41.760
Louis Henry: The fit today now find 10s of thousands along the variance and around 6000 law degree burns.

43
00:05:42.420 --> 00:05:50.460
Louis Henry: In the run through insurance data in six indispensable so and the width of the submissions is compatible with that what we found on Monte Carlo.

44
00:05:51.150 --> 00:05:58.320
Louis Henry: So we actually can see the data and reconstruct K shorts and numbers, using the tracks when they indicate inside the magnets.

45
00:05:58.800 --> 00:06:04.920
Louis Henry: And we still have some possible improvement that we've been working on which, such as the use of ad on the preventive diverted thing.

46
00:06:05.550 --> 00:06:19.560
Louis Henry: And the study of the be modes finds roughly 10 to 20,000 events and something interesting here is that this study actually started only we've not to be too long trip, so I and these be mode is so abundant that you can see it as a background of the mode and so we.

47
00:06:20.820 --> 00:06:33.750
Louis Henry: We said we said to just show it was possible to use a use numbers as TT and actually showed that we could not even ignore casual that city, because this is good enough, the geography background.

48
00:06:34.530 --> 00:06:46.410
Louis Henry: So the global standards here is that we are indeed able to use the tracks to reconstruct everything 100 degrees in LSD and that opened some nice facilities for actually you know these particles.

49
00:06:48.030 --> 00:06:53.370
Louis Henry: Now the second thing that has been focuses on methods is to add their anti track so Chelsea one.

50
00:06:53.910 --> 00:07:02.850
Louis Henry: So actual to one is the first devils trigger it produces the rate from 31 megahertz so huge sensical price when you cannot trigger on the type of track.

51
00:07:03.300 --> 00:07:10.440
Louis Henry: And it depends on the mood, though, because, for example, when you have a mood with a database Jeff so, for example, you don't pay much.

52
00:07:10.830 --> 00:07:20.460
Louis Henry: But if you have casuals pi pi, for example, well your parents or your occasional takes a lot of energy and if it's downstream, you have less chances to actually trigger on the resulting pines.

53
00:07:22.980 --> 00:07:35.070
Louis Henry: So, right now, when you look at the current liminal reconstruction in Chapter one it relies on the tracks, and these are reconstructed by taking a video track and adding ut hits and then SCI fi heads.

54
00:07:35.670 --> 00:07:43.110
Louis Henry: Which means that you have new byproduct that you can use, however, when you look at energy to the slt to and the way we reconstruct stuff.

55
00:07:43.710 --> 00:07:55.140
Louis Henry: There is a second strategy to reconstruct don't track security, which is new make video segments, and you make safe I segments, and you match the two for the magnets and possibly had adversity hits.

56
00:07:55.770 --> 00:08:01.200
Louis Henry: And that, if we could implement that in a Chapter one, we would have another way to have long tracks.

57
00:08:01.650 --> 00:08:11.610
Louis Henry: which also produces as a byproduct is teacher decide Phi Sigma, which is a detract already in which is also the source of down tracks, because then you can match that to you two hits.

58
00:08:12.180 --> 00:08:18.150
Louis Henry: And so that's the whole the whole point is how are we able to run that in a chance to one.

59
00:08:18.750 --> 00:08:28.200
Louis Henry: And so, when we have a look at the tracker construction it realizing algorithm that's the call that hybrid seeding agency to I give you hear the references of the paper of this.

60
00:08:28.650 --> 00:08:37.650
Louis Henry: Of this requisition algorithm and talk in connecting the dots that was presenting it as well and, last year we actually bought it, they are very them to gpu.

61
00:08:38.370 --> 00:08:45.420
Louis Henry: we reduce the efficiency competitor altitude, but then have a speed that is compatible, which you want to variations in actually this is.

62
00:08:46.290 --> 00:08:52.620
Louis Henry: Quite a recent development and there is a plethora of the meeting, and as the Texas at a talker connecting the dots which I give you here.

63
00:08:52.860 --> 00:09:00.450
Louis Henry: And when you have a look at the efficiency we compare or matching video So if I matching on non transformation, with the nominal strategy and read.

64
00:09:00.720 --> 00:09:05.610
Louis Henry: And we find the efficiencies are compatible and a bit better at low momentum, because we have no cuts.

65
00:09:05.970 --> 00:09:15.450
Louis Henry: And the fruit boots in orange is no, no, and in blue is the or attitude mode So you see, we are a bit slower than we know, however, compatible.

66
00:09:16.440 --> 00:09:23.850
Louis Henry: And the point of that is that if we can actually reconstruct long tracks using this strategy, certainly we it opens the door to working.

67
00:09:24.360 --> 00:09:30.270
Louis Henry: On the downstream reconstruction nhl to one and on designing trigger lines as well, and then suddenly you go from.

68
00:09:30.660 --> 00:09:44.880
Louis Henry: triggering and tracks that only decay before one meters one meter two tracks to anything that the case in the first eight meters naturally they'll have problems with ghosts rates and background rates but, at the very least it's possible to try to trigger on that.

69
00:09:46.110 --> 00:09:57.570
Louis Henry: And so, if we look at the past and current work, you know ta about all these things we come back to the stable and well the the paper being written shows that it's possible to run to to analyze the tracks.

70
00:09:58.050 --> 00:10:06.150
Louis Henry: And because there's actually so people are already working on writing trigger lines down there showstopper clearly here it tracks in the chocolates oh.

71
00:10:06.540 --> 00:10:11.640
Louis Henry: And what I just showed, which is in Chapter one the reconstruction is no possible in terms of speed and efficiency.

72
00:10:12.060 --> 00:10:22.770
Louis Henry: To have downstream track anti tracks and then we need to actually Commission it's it's not yeah it's not the baseline for now and to write trigger lines of these picky specific types.

73
00:10:23.760 --> 00:10:31.260
Louis Henry: So that was the reconstruction part, however, what about the physics case itself yeah the LCD I wanted to mention is this.

74
00:10:31.710 --> 00:10:40.830
Louis Henry: case is a bit of exotic given for a little piece searches, which is that actually is a source of Lambda boards that are produced in charm beauty and travel and the case which are polarized.

75
00:10:41.280 --> 00:10:48.570
Louis Henry: And these variants when Yolanda the case in the magnets process inside of the field of the magnet, which means that you can actually measure.

76
00:10:48.960 --> 00:10:58.260
Louis Henry: The dipole a for magnetic dipole moments along the Barrio Nice debate and there's been a proposal to do just as that we need to use he tracks for.

77
00:10:58.770 --> 00:11:07.770
Louis Henry: For construction and sensitivity that was quoted in the paper is actually increasing by two orders of magnitude the lump ADM.

78
00:11:08.520 --> 00:11:22.140
Louis Henry: precision, which would be a source of paper bag and also the relation and also performing your cpd tests with the G factor of the non the Barrio there is no some work i'm going to estimate resolutions and some trigger lines, as I said, are being written.

79
00:11:23.700 --> 00:11:30.630
Louis Henry: And concerning the search for these well I point you're actually to the top just for by Mike Williams, which.

80
00:11:31.470 --> 00:11:38.640
Louis Henry: talks about the paper which also sites that the sensitivity is not limited by the signal racial backgrounds, but he stand by lifetime acceptance.

81
00:11:39.090 --> 00:11:45.150
Louis Henry: And so, including downstream tracks in T tracks in he recently with actually improve that situation.

82
00:11:45.810 --> 00:11:55.110
Louis Henry: And what I show here is the record sensibility of the moon daughters of a model when you have a hidden X going to new new so be too ah OK, and he knew me.

83
00:11:55.590 --> 00:12:05.850
Louis Henry: as a function of the HMS and lifetime in what you see on the left is long, long so at low life forms, you are nearly on the long long, this is the current allegedly strategy.

84
00:12:06.960 --> 00:12:21.540
Louis Henry: You could extend this strategy we've downstream tracks were new you are visited it down then topology and you have a better handle on larger lifetimes and however you are to deal with the backgrounds, which is not something that I address in this talk.

85
00:12:22.770 --> 00:12:29.700
Louis Henry: And then the tracks are not yet available at all, but certainly proved yet another region of the parameter space that could be very interesting.

86
00:12:30.210 --> 00:12:43.230
Louis Henry: To 1000 because it gets into the systematic program including Devon T tracks could actually unlock these two regions of the space issue here, and so prove these large regions that have not yet been pro ballet she baked.

87
00:12:45.150 --> 00:12:46.500
Louis Henry: into it as a conclusion.

88
00:12:47.970 --> 00:12:51.960
Louis Henry: I just sort of the painting on my on the slides but I mean it on now.

89
00:12:53.910 --> 00:13:04.410
Louis Henry: As a conclusion the full software to regale actually they actually is certainly something that has been challenging but it's also offers a lot of flexibility that allows us to look for new opportunities.

90
00:13:04.920 --> 00:13:16.170
Louis Henry: And so, this is work on going to include downstream tracking the first level trigger so certainly you could increase our level statistics for nothing is animal moves but also lps and so you go from.

91
00:13:16.770 --> 00:13:22.200
Louis Henry: There are many to one meter there are limits of 2.5 meters, which is already pretty Nice.

92
00:13:22.770 --> 00:13:33.150
Louis Henry: And then there is this article being written to showcase a possibility, do you see tracks in emulators and actually the work on downstream could also be recycled, to try to trigger on tracks.

93
00:13:33.720 --> 00:13:40.140
Louis Henry: And certainly use this add goes to eight meters and you are a you access to completely new region for parents his face.

94
00:13:40.710 --> 00:13:57.240
Louis Henry: And there is a top five X squared and connecting the dots conference this week actually about exactly that, and there are quite a few articles are being written, not only about that, but also to evaluate decrease reach on the lmt searches and actually be using distracts Thank you.

95
00:14:00.300 --> 00:14:02.040
James Beacham (he/him): Thanks very much worse, this is great.

96
00:14:04.590 --> 00:14:09.840
James Beacham (he/him): really exciting developments for elysee be oh yeah the time.

97
00:14:10.560 --> 00:14:21.000
James Beacham (he/him): thing, there was some sort of delay apparently in the zoom and it was being tagged in but it didn't show up on the screen until it was too late doesn't matter because we're nice thing on time, thanks for staying on time so Questions for Lewis anybody.

98
00:14:34.890 --> 00:14:36.930
James Beacham (he/him): So we got you okay Michael go ahead, Michael.

99
00:14:37.290 --> 00:14:46.500
Michael Albrow: Oh yeah just a quick question, I mean obviously backgrounds would be quite important to how progress, the background studies progressing with this.

100
00:14:51.720 --> 00:14:53.430
Louis Henry: or I didn't find the unmute button.

101
00:14:54.450 --> 00:15:06.570
Louis Henry: The surena the first article that is being written is very, very does not take into account backgrounds it's more topological information and we got the Second, we want to rights more.

102
00:15:07.860 --> 00:15:15.090
Louis Henry: conclusive wellness visit article, maybe, including backgrounds, in the next few months, so.

103
00:15:16.410 --> 00:15:27.990
Louis Henry: i'd rather not give a timescale, but it's certainly something that we are looking into because, as you see, on the on the very on the quite clean modes non to be if I come back to long debate too long.

104
00:15:28.950 --> 00:15:40.680
Louis Henry: To load that sigh it's a rather clean Moody nicely be here, you can clearly see that you get some background there, because then the vertex seeing individual actually ordered on the B is difficult.

105
00:15:42.960 --> 00:15:43.890
Michael Albrow: Okay, thank you.

106
00:15:44.490 --> 00:15:54.360
Louis Henry: So yeah that's that totally will be a problem, but I also suspect is going to be able to remove dependence considering how actually all none of the keys very clean.

107
00:15:58.470 --> 00:15:58.590
All.

108
00:16:04.260 --> 00:16:06.210
James Beacham (he/him): Right anybody else questions for this.

109
00:16:11.520 --> 00:16:14.040
James Beacham (he/him): I think this is really nice I love finding.

110
00:16:15.780 --> 00:16:23.580
James Beacham (he/him): Little areas that we're not doing so perfect and then kind of improving them and added into the analysis this concept of adding to teach tracks looks like a really good thing so.

111
00:16:24.450 --> 00:16:38.970
James Beacham (he/him): We say look forward to following along as it develops, so if there are no further questions for Lewis, remember that if you do have a question that comes up please feel free to put it a matter most Louis if you're over there, somebody can probably ask your question there.

112
00:16:39.570 --> 00:16:39.930
Okay.

113
00:16:41.970 --> 00:16:42.960
James Beacham (he/him): All right, thanks, a lot.

114
00:16:44.010 --> 00:16:49.260
James Beacham (he/him): Now we are going to switch over to atlas we have Christian Christian, are you ready.

115
00:16:52.470 --> 00:16:53.100
Christian Appelt: Yes, can you.

116
00:16:53.670 --> 00:16:55.290
James Beacham (he/him): Yes, we see you and hear you.

117
00:17:00.810 --> 00:17:10.920
James Beacham (he/him): Now I see your slide and, hopefully, now we go full screen you're ready to go we'll give you just a verbal up their little heads up when you've got about five minutes left.

118
00:17:11.520 --> 00:17:11.880
Christian Appelt: alright.

119
00:17:12.660 --> 00:17:13.080
James Beacham (he/him): sounds good.

120
00:17:13.350 --> 00:17:32.280
Christian Appelt: Thank you okay yeah i'm presenting today there's such an avenue to leptons from atlas so of course it's not going to be very details because of the 15 minutes, but I have put the paper draft in here it's already submitted to PL and available here already passed up as review.

121
00:17:33.420 --> 00:17:43.650
Christian Appelt: But I probably don't have to motivate so much, but I will do it anyway little bit and then we'll spend some time explaining our signal model, because this is quite special for this analysis.

122
00:17:45.030 --> 00:17:52.380
Christian Appelt: So I mean, as you all know, we have like a few observations can be explained by the standard model such as neutrino installations.

123
00:17:52.860 --> 00:18:04.440
Christian Appelt: observe Meta Meta as imagery in the universe and duck Meta and one possible solution to this would be to add three right and my entrepreneurs to the standard model lagrangian.

124
00:18:05.520 --> 00:18:14.130
Christian Appelt: They would then form the so called neutrino minimum standard model, so you don't necessarily need three two would actually be enough to.

125
00:18:15.240 --> 00:18:24.390
Christian Appelt: Like be Parma twice in a way to agree the with the observed mass hierarchies and with yourself mentality that is in the tree.

126
00:18:24.840 --> 00:18:33.870
Christian Appelt: SAP mechanisms and then you would have a third one, basically, you can prioritize and the different way to give a dark matter candidate, but we're not sensitive to this and this search.

127
00:18:35.070 --> 00:18:43.680
Christian Appelt: Within usually we apologize, the html with a coupling constant and the mass and, of course, this has been done before by various experiments.

128
00:18:44.070 --> 00:18:56.820
Christian Appelt: So here, for example, looking at the moon coupling dominance versus h&m as playing, so we have like quite a few exclusive limits already, this was the starting point of our analysis in 2019.

129
00:18:57.300 --> 00:19:04.260
Christian Appelt: were also the previous displaced html result from atlas was published this are the exposure limits from this one here.

130
00:19:05.430 --> 00:19:16.950
Christian Appelt: And the search i'm showing you today, basically looks between three and 20 TGV of the html and parameters as the signal Monte Carlo samples between.

131
00:19:17.730 --> 00:19:29.880
Christian Appelt: 100 millimeter of proper lifetime and, as you can see, the proper lifetimes like inversely proportional to the coupling constant so this means we get a grid in this plane to probe basically four hours you know.

132
00:19:31.230 --> 00:19:42.750
Christian Appelt: So our signature is basically purely electronic so we have w both on decaying this puppy called prompt slept on this alpha alpha celebs on flavor.

133
00:19:43.290 --> 00:20:02.130
Christian Appelt: And then we have the long list of minutes left on interacting with the standard model at reno's and then forming a displaced vertex here with two opposite sign up songs by this so w, we can also have an offset here, but then the leptin levels would be the same.

134
00:20:03.750 --> 00:20:12.690
Christian Appelt: This tk can be leptin number conserving for the letter numbers of neutrinos, but we can have the same leptin number violating.

135
00:20:13.800 --> 00:20:23.340
Christian Appelt: And then basically we allow both cases we provide for my ohana he knows what would have basically both of these tickets involved.

136
00:20:23.880 --> 00:20:33.210
Christian Appelt: But we prioritize our model, also in a way that we look at the wreckage and there's only so this means that our signals basically this from left on.

137
00:20:34.140 --> 00:20:44.220
Christian Appelt: The display statistics of opposite sign leptons and then we have another variable as our main discriminating variable this reconstructed have enough left on mass.

138
00:20:44.610 --> 00:20:55.230
Christian Appelt: So, even though we don't know much about the neutrino we can use the information we have about the w goes on to solve this for vector equation, and to reconstruct the w the the action, Ms.

139
00:20:56.280 --> 00:21:07.110
Christian Appelt: And here on the lower right you see the mouse and our single region on the left between zero and 20 GB and there you can also see three different.

140
00:21:07.590 --> 00:21:24.750
Christian Appelt: agent El Monte Carlo samples with the truth masters of 510 and 15 gv and, as you can see, they are nicely pitching this reconstructors pass, we also have a control region here between 20 and 50 gv which we mainly use to constrain our background so let's talk about this in a minute.

141
00:21:26.370 --> 00:21:33.750
Christian Appelt: So, then, we define our analysis channel as follows, using this alpha beta gamma notation from our second signature.

142
00:21:34.380 --> 00:21:45.390
Christian Appelt: And then dependent on the model we want to pro we do different channel combinations so, for example, the standards interpretation which i've shown in the first slide where we just allow.

143
00:21:46.080 --> 00:21:55.290
Christian Appelt: One have you know to laptop with a single flavor mixing we come combine the the moon channels are we combine the electron channels to basically get the.

144
00:21:56.820 --> 00:21:58.080
Christian Appelt: Get the results there.

145
00:21:59.760 --> 00:22:03.300
Christian Appelt: But as you've seen already yesterday in the summary talks.

146
00:22:04.380 --> 00:22:09.690
Christian Appelt: This is not agreeing this moon only an electron only mixing is not agreeing with the.

147
00:22:10.830 --> 00:22:22.590
Christian Appelt: With the data from going to train what solutions so to probe those as well we actually assume to have so called kasi direct pair of have enough leptons, which means that they are.

148
00:22:23.130 --> 00:22:31.080
Christian Appelt: The monsters are almost the same so they're very dinner degenerate and therefore almost act as a single particle but this way, we have to agent else.

149
00:22:31.650 --> 00:22:48.390
Christian Appelt: And we can prioritize the mixing ratios in a way to basically prove this to benchmark points is normal hierarchy vegetable point year or the inverted hierarchy benchmark medium and in order to do this within combine all the channels are two to probe for the different models.

150
00:22:50.190 --> 00:22:57.750
Christian Appelt: And speaking a bit of our data flow, so we can of course use standard from leptons triggers to.

151
00:22:58.800 --> 00:22:59.940
Christian Appelt: trigger our data.

152
00:23:00.960 --> 00:23:10.140
Christian Appelt: And then, an atlas one to the prompt reconstruction only contains standard tracking which specific prompts tracking that we need.

153
00:23:10.800 --> 00:23:25.110
Christian Appelt: The so called large radius tracking, which is already mentioned by lower yesterday and I talk and the difference between standard tracking flat rate is tracking is that we have much wider impact parameters, as you can see, for example, the D zero is like factor of.

154
00:23:26.760 --> 00:23:28.890
Christian Appelt: 1230 bigger here.

155
00:23:30.840 --> 00:23:39.210
Christian Appelt: And this was in run too computationally quite expensive, so what we had to do is actually we had to apply some filters and then.

156
00:23:40.410 --> 00:23:47.160
Christian Appelt: Have like less data basically to do the displays for construction on because of the like computational effort.

157
00:23:47.640 --> 00:23:58.740
Christian Appelt: So we end up with approximately 10% of the data was special filters to get the events which are interesting for us, and then we do the large rate is tracking and second overtakes finding to continue on and.

158
00:24:00.540 --> 00:24:09.420
Christian Appelt: Then we also modified the second overtaxing so what we're interested in are these two left hand opposite scientist best practices.

159
00:24:10.110 --> 00:24:23.580
Christian Appelt: So there's a standard algorithm up in atlas which we took and basically modified and, interestingly, so what we did is basically allow only leptin tracks for this left conceding step.

160
00:24:24.270 --> 00:24:29.190
Christian Appelt: And then, of course, a few more steps here in the middle, but in the very end, we have a track attachments that.

161
00:24:30.240 --> 00:24:37.560
Christian Appelt: Where we didn't allow any track to be attached and this way, we could release some of the parameters.

162
00:24:38.730 --> 00:24:51.510
Christian Appelt: But having this track attachment step here with any trick, we were actually able to increase the selection efficiency quite a bit dependent on the Channel mouse and lifetime by keeping the background at a similar level.

163
00:24:52.800 --> 00:24:57.300
Christian Appelt: You can see how about fixing efficiency looks like for this custom vertex thing.

164
00:24:58.500 --> 00:25:00.390
Christian Appelt: And as you can see where like.

165
00:25:03.210 --> 00:25:09.240
Christian Appelt: Mostly efficient here between the space vertex ready between like 10 and like 80 meters.

166
00:25:10.470 --> 00:25:19.710
Christian Appelt: Okay i'm speaking about background, so we basically classify our background in two sources so backgrounds, we can reduce using specific selection criteria.

167
00:25:20.070 --> 00:25:28.350
Christian Appelt: and backgrounds, we consider irreducible and then have to estimate, so the first one contain basically the case from material interactions.

168
00:25:28.740 --> 00:25:45.210
Christian Appelt: The case from metal stable particles, such as be had wrong so strange baryons cosmic beyonce and that's to leptin leptin the case where one of the electrons from the that tk is actually pad the random the crossing leptin and then forms of the space projects.

169
00:25:46.290 --> 00:25:50.850
Christian Appelt: and backgrounds, we can't we can't reduce what we call random track crossing backgrounds.

170
00:25:52.530 --> 00:26:00.870
Christian Appelt: This happens when two tracks randomly cross and formulas place vertex and we use a data driven approach to estimate those.

171
00:26:01.500 --> 00:26:11.820
Christian Appelt: And the Nice feature about them is that if you have infinite statistics, then you should have basically the same number of opposite sign and the same number of sales and vertices.

172
00:26:12.840 --> 00:26:17.910
Christian Appelt: created by this running track percent so this this tech, we can use for for estimating.

173
00:26:19.350 --> 00:26:30.000
Christian Appelt: Okay here, you can see our analysis selection we basically use to get rid of the Left part of the victims here so don't read this now just put it here for to be to be complete.

174
00:26:31.380 --> 00:26:31.890
Christian Appelt: But.

175
00:26:34.020 --> 00:26:41.760
Christian Appelt: In general, what we want to look at is if this hypothesis of opposite side equal same same is true for our samples.

176
00:26:42.870 --> 00:26:51.690
Christian Appelt: We do this by looking in our validation region, so the special thing about affiliation regionals that we explicitly veto the prom laptop.

177
00:26:52.080 --> 00:26:57.360
Christian Appelt: So this means that was signal can't be in here, but we can look at opposite sign and same sentence best practices and data.

178
00:26:58.170 --> 00:27:09.300
Christian Appelt: And if we do this year, for example, for electron will displace vertices and we look at the displaced vertex mass distribution, then you can see that opposite sign and same Center space vertices agreeing quite low.

179
00:27:10.590 --> 00:27:16.110
Christian Appelt: This is not the case for all of the channels so there's a bit of a difference, but we will have a systematic to take this into account.

180
00:27:17.520 --> 00:27:17.940
Christian Appelt: Now.

181
00:27:19.020 --> 00:27:31.230
Christian Appelt: We can't just use same sign displaced vertices to estimate or background, because we have lost logistics, so we were searching for method to increase the statistics, so what we do here is then.

182
00:27:31.920 --> 00:27:44.250
Christian Appelt: Look at events where we have the prompt up john and same scientists press Nazis and then we look at events from the validation region, we have no problem term but is opposite cyberspace vertices.

183
00:27:44.760 --> 00:27:52.170
Christian Appelt: And then we shuffle these events around to create our data driven and, in fact, forcing background estimate with increase statistics.

184
00:27:52.770 --> 00:27:55.200
James Beacham (he/him): Christian just you have about five minutes I take your okay.

185
00:27:55.230 --> 00:27:55.530
Christian Appelt: All right.

186
00:27:55.680 --> 00:28:07.200
Christian Appelt: Thank you, OK, and then here, you see the ATMs distribution again as for like also to more channels and this pinkish shaded areas and basic your background so.

187
00:28:09.000 --> 00:28:19.290
Christian Appelt: you're talking about systematics so we have quite a few system medicinal signal, I just want to mention the biggest funders display statics systematic.

188
00:28:20.400 --> 00:28:28.590
Christian Appelt: Here we we basically found that the efficiency of displaced of the displaced vertex reconstruction can vary between data and simulation.

189
00:28:30.000 --> 00:28:37.080
Christian Appelt: To take this into account, we performed a study on K short to Python Python vertices to estimate is differences.

190
00:28:38.280 --> 00:28:45.600
Christian Appelt: And then, for the background, we have to systematics the displays will take systematic and the form leptons systematic.

191
00:28:46.080 --> 00:28:58.470
Christian Appelt: Whether the space vertex systematic basically takes into account the disagreement between same sign opposite Sanders best vertices and the prompt leptons semantic takes into account the fact that we just have a finite number of participants.

192
00:29:00.090 --> 00:29:10.230
Christian Appelt: Right, then we can basically go to the statistical analysis so for this, we now just look at one specific must lifetime point of course we do this in the end, for all of them.

193
00:29:12.000 --> 00:29:21.600
Christian Appelt: And i've picked one of the complicated models this quasi direct pair of agent else with the inverted hierarchy mixing in my one where we combine those channels.

194
00:29:22.920 --> 00:29:39.240
Christian Appelt: So the combination then looks like this, here we have all the six channels we're combining and the signal region and control regions as one and what we do, then Okay, basically, you see the background again and the signal in red.

195
00:29:41.670 --> 00:29:47.550
Christian Appelt: And the data in black and what we do them as we do a combined signal region, plus control region fit.

196
00:29:48.600 --> 00:29:59.010
Christian Appelt: Where we have free floating normalization factors on the background for each of the channels, so this way the control region can actually constrain the background and scale it.

197
00:30:00.390 --> 00:30:13.650
Christian Appelt: And we have shared signal strength parameter on the signal, and then the post fitness program looks like this and, as you can see, the data in Greece well with the expected background and we are everywhere within to signal basically.

198
00:30:15.540 --> 00:30:33.030
Christian Appelt: And now we calculate for all of them as lifetime points we calculate the limits on the signal strength, using the CLS method and pseudo experiments because we've little statistics and we do this for almost lifetime points and all models, basically, and then I can show you our results.

199
00:30:34.050 --> 00:30:41.790
Christian Appelt: So for the model after showing you any Okay, as you probably have expected we haven't observed anything else, but we were able to set this occlusion limits.

200
00:30:42.990 --> 00:30:50.520
Christian Appelt: Here in the copying consequences not claim on this, you can see the observed exclusion limit increase very well with expected one.

201
00:30:51.480 --> 00:30:59.310
Christian Appelt: And then, for the first time we have this to cutie age, so the positive our models in normal and inverted hierarchy.

202
00:30:59.910 --> 00:31:10.410
Christian Appelt: And here on the bottom, you see the summary of the observed confidence limits for all four of the models, where we assume the agent has to be my honor particle.

203
00:31:11.280 --> 00:31:22.500
Christian Appelt: And the same you see here, where the agent has in the dark particle and the strongest limits we observe for the the Multi flavor mixing the inverted hierarchy.

204
00:31:23.700 --> 00:31:27.540
Christian Appelt: To stay tuned we're already working on the next version of the analysis.

205
00:31:28.560 --> 00:31:33.150
Christian Appelt: And we're very excited to proceed and see what's going to be done.

206
00:31:34.260 --> 00:31:36.300
Christian Appelt: Thanks questions.

207
00:31:42.150 --> 00:31:49.800
James Beacham (he/him): Alright, thanks, very much for that Christian wonderful talk really fantastic result we got a couple of questions already so Giovanna go ahead.

208
00:31:51.510 --> 00:31:52.980
Giovanna Cottin: hi Thank you very much for the.

209
00:31:52.980 --> 00:32:02.370
Giovanna Cottin: Talk, I just wanted to ask you about this feature in their execution plots of five GB I still don't quite understand what is this election that shows this.

210
00:32:02.850 --> 00:32:07.800
Giovanna Cottin: bump in the energy or like barely.

211
00:32:08.670 --> 00:32:17.790
Christian Appelt: See yep, this is the selection, basically, so this band is caused by this heavy flavor decay be job, so what we do here in this box on the right.

212
00:32:18.180 --> 00:32:28.410
Christian Appelt: Is we look at opposite sentence same sentence, please vertices again from the validation region and we have the displaced vertex must here versus to discuss politics radios and we look at the difference between them.

213
00:32:29.010 --> 00:32:44.730
Christian Appelt: And the difference basically comes from the long lived Center model particles and we use this red cats to cut them off basically to to ensure that our standard same sentence facilities are understand same in the end.

214
00:32:46.200 --> 00:32:57.960
Christian Appelt: And as you can see, for the mural and we are, this is very since we haven't been able to do this, like more elaborate the i'm going to cut because we have a lot of stuff here so that we also not super sensitive to me on your DVDs any.

215
00:32:58.530 --> 00:33:11.460
Christian Appelt: way, so the most important channel for us was the ones where we have electron view on that is select he knew, and we were we were more sensitive basic but yeah this is causing this dip.

216
00:33:12.540 --> 00:33:20.940
Christian Appelt: In the previous analysis from atlas we don't have this tip because they are they just put in like a sharp 4G wi fi.

217
00:33:22.800 --> 00:33:26.160
Giovanna Cottin: Right so Okay, so this allows you to have sensitivity below five.

218
00:33:26.190 --> 00:33:45.600
Giovanna Cottin: GB but still uses OK OK and and also, I wanted to ask about because you mentioned also this material veto that I think the previous at least displays like more teacher versus what advice do have it, but why do you mention only for the E case.

219
00:33:46.260 --> 00:33:46.530
Because.

220
00:33:47.640 --> 00:33:49.920
Christian Appelt: We only saw the impact.

221
00:33:49.980 --> 00:33:52.110
Christian Appelt: Of the material and actions.

222
00:33:52.170 --> 00:34:08.940
Christian Appelt: In our in our validation samples, we only saw this for electronic space versus, we are not that impacted by this by four wheels on what is it so this was all finding, therefore, we can apply it, because it didn't make you an effective basically.

223
00:34:11.490 --> 00:34:19.770
Giovanna Cottin: Okay, but is it this, because this is for the inner trucker and we don't have this leon's further away, is that the case.

224
00:34:22.020 --> 00:34:34.830
Christian Appelt: we're not necessarily but I mean we have, so the background looks a bit different looking in electronic governance best practices, so there it's just more likely to see this material into actions that will have an English.

225
00:34:35.670 --> 00:34:47.430
Giovanna Cottin: Okay, so that is the nature of the vulgar me suppressed for the use case in any case, I mean you don't see okay okay thanks I like your slice Thank you thanks.

226
00:34:48.930 --> 00:34:50.940
James Beacham (he/him): Alright, thanks so much about it, let me go ahead.

227
00:34:52.170 --> 00:34:53.370
Larry Lee: awesome thanks so much.

228
00:34:53.580 --> 00:34:56.340
Larry Lee: yeah thanks for the really great talk was fantastic.

229
00:34:57.420 --> 00:34:58.470
Larry Lee: Questions like 10.

230
00:34:59.970 --> 00:35:01.410
Larry Lee: And you were talking about this.

231
00:35:01.440 --> 00:35:07.590
Larry Lee: This control region where you're viewing on a prompt leaped onto to kill the signal.

232
00:35:08.880 --> 00:35:24.270
Larry Lee: But i'm just wondering so so that that makes sense for this w production, but do you have any worries of signal contamination safe from zero new new production of this html.

233
00:35:25.440 --> 00:35:28.170
Christian Appelt: yeah if I remember correctly, he looked into this.

234
00:35:28.200 --> 00:35:28.500
Christian Appelt: and

235
00:35:28.530 --> 00:35:40.740
Christian Appelt: We didn't saw they much of this or I don't recall no numbers or plots on top of my head, but I remember that there was a discussion with it and we haven't been affected.

236
00:35:41.670 --> 00:35:50.340
Margaret Lutz: yeah, I can confirm your memory Christian we look into this order a couple events, a few events and validation regenerate otherwise had hundreds.

237
00:35:50.850 --> 00:35:51.510
Christian Appelt: So it whether.

238
00:35:52.260 --> 00:35:54.000
Christian Appelt: it's a very good point yeah we looked into.

239
00:35:55.080 --> 00:35:55.710
Margaret Lutz: OK OK.

240
00:35:55.770 --> 00:35:56.640
Larry Lee: I say great Thank you.

241
00:35:57.030 --> 00:35:57.510
Larry Lee: Thanks for.

242
00:36:00.720 --> 00:36:01.650
James Beacham (he/him): All right, anybody else.

243
00:36:01.890 --> 00:36:02.970
James Beacham (he/him): Questions for Christian.

244
00:36:07.950 --> 00:36:12.990
James Beacham (he/him): sounds like a resounding great talk so thanks again Christian for a great talk.

245
00:36:13.620 --> 00:36:16.260
James Beacham (he/him): And again, the continuous.

246
00:36:16.350 --> 00:36:17.490
James Beacham (he/him): Continual reminder.

247
00:36:17.820 --> 00:36:21.780
James Beacham (he/him): For the questions and comments can go on to discussion could go on to the matter most channel, please.

248
00:36:22.320 --> 00:36:30.840
James Beacham (he/him): head over there to see who might be around asking questions next we're going to transition to cms dime you want displays for tech services, give me Mohammed Mohammed or your own.

249
00:36:32.640 --> 00:36:32.880
Muhammad Ansar Iqbal: hey can.

250
00:36:33.360 --> 00:36:33.660
Muhammad Ansar Iqbal: You.

251
00:36:33.810 --> 00:36:36.540
James Beacham (he/him): hear me, yes, hear you and see you all right.

252
00:36:36.570 --> 00:36:38.520
Muhammad Ansar Iqbal: Great Let me share my slides.

253
00:36:41.670 --> 00:36:43.020
Muhammad Ansar Iqbal: Okay, I can see.

254
00:36:43.560 --> 00:36:44.100
Yes.

255
00:36:45.210 --> 00:36:45.570
Muhammad Ansar Iqbal: Are.

256
00:36:46.380 --> 00:36:47.940
James Beacham (he/him): you going to do, like a full screen.

257
00:36:48.060 --> 00:36:48.630
Muhammad Ansar Iqbal: Thank you.

258
00:36:49.950 --> 00:36:53.670
James Beacham (he/him): There we are perfect okay we'll give you a verbal heads up when you've got a few minutes.

259
00:36:54.210 --> 00:37:05.280
Muhammad Ansar Iqbal: Thanks Okay, so my name is answer and i'll be presenting at the space time on search, on behalf of sadness so before I go into the size, let me, let me remind you of.

260
00:37:05.640 --> 00:37:19.260
Muhammad Ansar Iqbal: That we've been seeing again and again to this workshop, and this was also shown by a change in one form in his introductory talk, so this is regarding the space that we're looking at we're looking at the regions that have different analyses.

261
00:37:19.320 --> 00:37:20.340
James Beacham (he/him): And it sounds are.

262
00:37:20.820 --> 00:37:25.140
James Beacham (he/him): I don't see those I don't see the slides going forward can you click on a double check that it's going forward back.

263
00:37:25.950 --> 00:37:26.520
Muhammad Ansar Iqbal: Does he.

264
00:37:27.360 --> 00:37:29.550
James Beacham (he/him): know I still I know I see the second slide okay.

265
00:37:29.580 --> 00:37:31.770
Muhammad Ansar Iqbal: Okay, I wasn't on the day.

266
00:37:31.950 --> 00:37:33.060
James Beacham (he/him): You were all the first one okay.

267
00:37:33.090 --> 00:37:37.770
James Beacham (he/him): Sorry ignore me please go ahead, my apologies, no So what did you say was that.

268
00:37:38.070 --> 00:37:46.110
Muhammad Ansar Iqbal: In this nice spot where we see the coverage as a function of a lifetime, we see that most analyses are focused on on the range.

269
00:37:47.400 --> 00:37:57.660
Muhammad Ansar Iqbal: And the light turns on the scale of a millimeter or so, and then we have our detectors which grew up to a few meters and then we have Steve about, because after that so there's this huge gap, if you may in between.

270
00:37:58.410 --> 00:38:12.510
Muhammad Ansar Iqbal: Regions and the search i'm going to present today sort of tries to address that issue in that we're looking for the space that new ones, coming from common vertex but we're going to do that in a really wide range of assessments, so now it's like.

271
00:38:13.650 --> 00:38:27.780
Muhammad Ansar Iqbal: All right, so, just as we all know that lps could could manifest by the case to take it will sound more articles, for example, in this case, this place that you know and and depending on the model, they can they can have a significantly large or small, displacement.

272
00:38:29.040 --> 00:38:46.980
Muhammad Ansar Iqbal: On the model, so what I am presenting today is is a new generic and 30 be more independent cms search for an East that again to displace that nuance and this, which has been has been reviewed by cms it has been something to do GA for publication.

273
00:38:48.030 --> 00:38:54.360
Muhammad Ansar Iqbal: So very quickly i'm sure you're all aware of this, but just just to recap and do wait some backdrop for the analysis.

274
00:38:55.290 --> 00:39:06.540
Muhammad Ansar Iqbal: As I said, the analysis is relatively more than independent, but just do to integrate we interpret the results in commonly used benchmark models The first one is this inability takes more in that you have.

275
00:39:07.650 --> 00:39:19.200
Muhammad Ansar Iqbal: A dark sector it's been that that makes us with Sam or exceed and with with a coupling gabba and then this indicate to do these, which in this case, our photons and those photons.

276
00:39:19.710 --> 00:39:27.900
Muhammad Ansar Iqbal: can conduct a to daniel's in this case, and this is controlled by this is this is characterized by a kinetic mixing epsilon.

277
00:39:28.710 --> 00:39:46.290
Muhammad Ansar Iqbal: The other model that will consider themselves for this analysis is a simplified the SMS model in which we have heavy scanner expose on that it gives it to do Skinner entities and those killer bees can indicate to do to nuance each of them candy candy he is giving us a displaced signal.

278
00:39:47.460 --> 00:39:59.370
Muhammad Ansar Iqbal: So I mean, as I said, the analysis enterprise in terms of these two models, but freedom edition is of course possible and we provide the for interpretation you can have the agenda.

279
00:40:01.950 --> 00:40:06.270
Muhammad Ansar Iqbal: Okay, so just to give you an example, this is, this is an event of.

280
00:40:07.320 --> 00:40:17.340
Muhammad Ansar Iqbal: Displaced Daniels that be noticed in that we constructed in the same as experiment, it was constructed within the 2018 data they can have the experiments are, as you can see.

281
00:40:18.180 --> 00:40:25.470
Muhammad Ansar Iqbal: The blocks that you see in read these are the chambers and so we're constructing young neurons out of.

282
00:40:26.160 --> 00:40:37.260
Muhammad Ansar Iqbal: The hits and segments, and the chambers and then they form, combined with X, which is rather displaced, so, as I said that it covers the search covers logic disbursements.

283
00:40:37.560 --> 00:40:42.630
Muhammad Ansar Iqbal: So i'm going to talk about the different categories in a bit, but essentially what I wanted to show you was.

284
00:40:43.380 --> 00:40:54.990
Muhammad Ansar Iqbal: living proof that we actually cover allows you to disbursements and you see the the combined webex here is actually be constructed outside of the City Contract which is really nice.

285
00:40:56.670 --> 00:41:07.020
Muhammad Ansar Iqbal: Okay, so coming to the search itself the search was performed using 98 investment was data with connected to it cms this was this was doing.

286
00:41:09.450 --> 00:41:21.150
Muhammad Ansar Iqbal: Of didn't really the digging and, as I said, the enemies that again to this is that nuance in the search can, or they can the game within our beyond the cms simple tracker.

287
00:41:22.170 --> 00:41:28.620
Muhammad Ansar Iqbal: So, and then just do just do introduce you to how we cover such a large displacements.

288
00:41:29.220 --> 00:41:38.100
Muhammad Ansar Iqbal: Let me remind you that in cms we can have two types of reconstructing nuance one of them, we call the standalone nuance, and these are the ones that are reconstructed on the immune system.

289
00:41:38.430 --> 00:41:47.520
Muhammad Ansar Iqbal: And then we can have trekker dms what he must mean that these are the ones that are reconstructed in the subcontractor as well as the the system.

290
00:41:48.090 --> 00:42:00.480
Muhammad Ansar Iqbal: So, based on this, we can categorize our search into three categories, where we have both the new ones as sd sd or, then we can have the bms dms category.

291
00:42:01.380 --> 00:42:10.020
Muhammad Ansar Iqbal: And the third one, is, I have a combination of the three so you can see what these categories stuff like in the cartoon schematic on the bottom left so.

292
00:42:10.620 --> 00:42:15.210
Muhammad Ansar Iqbal: The diversity is is is in the middle, where, what are the ones are coming.

293
00:42:15.720 --> 00:42:23.490
Muhammad Ansar Iqbal: From the display squared X is that has a very small displacement and what that means every constructed in the Chamber since my last super tracker.

294
00:42:24.060 --> 00:42:33.030
Muhammad Ansar Iqbal: On the left is being we have the standard on there, which were constructed in his chambers and the new is showing that every category.

295
00:42:33.960 --> 00:42:42.480
Muhammad Ansar Iqbal: So what I would like to have it here is that these three these three different categories, they have completely different technologies, they have completely different.

296
00:42:42.840 --> 00:42:51.930
Muhammad Ansar Iqbal: backgrounds so it's likely three separate analysis and then combining there's even one and as you'll see two of the four states that we we do.

297
00:42:52.530 --> 00:42:59.400
Muhammad Ansar Iqbal: optimize the selection environment separately different background estimation procedure procedures for each one so on, so what I show on the bottom right.

298
00:43:00.060 --> 00:43:19.890
Muhammad Ansar Iqbal: This is this shows you what the what the distribution of the categories as a function of transfers displacement, so this is the This shows the fraction of them nodes which point into each category as a function of truth transfers displacement in a simulated simulated.

299
00:43:21.720 --> 00:43:32.610
Muhammad Ansar Iqbal: The Assembly sample and you can see that displacements, which are it all nitty gritty centimeters assault, this is dominated by the team esteem as category, as you can understand.

300
00:43:33.030 --> 00:43:50.430
Muhammad Ansar Iqbal: Where we are the largest was a deficiency from the tracker and at large displacements, this is completely covered by by St St here, where we not have efficiency from the tracker and in the in the region in their sensitivities provided by this private stadiums category.

301
00:43:52.410 --> 00:44:01.230
Muhammad Ansar Iqbal: Okay, as you can expect to get such search the normal triggers don't work very well, so we have dedicated triggers that inspire the search.

302
00:44:02.610 --> 00:44:10.230
Muhammad Ansar Iqbal: So the dedicated triggers that be using this start with two new ones, which are reconstructed on the the new system, because we want to capture all the three categories there.

303
00:44:10.500 --> 00:44:21.780
Muhammad Ansar Iqbal: And we do not use any tracker information in the triggers themselves and the two new ones have certain certain requirements, London, which are listed here for 2016 and 2018.

304
00:44:22.410 --> 00:44:30.960
Muhammad Ansar Iqbal: or 2016 trigger what we also had a building in the trigger was a requirement on the three dimensional angle between the difference between alpha.

305
00:44:31.320 --> 00:44:41.520
Muhammad Ansar Iqbal: And this is to basically suppress cosmetics, because, as you can understand the prospects have the cosmic scan appear St john's with really large opening angle, so this requirement was there.

306
00:44:42.030 --> 00:44:48.180
Muhammad Ansar Iqbal: to suppress cosmetics and there was a bit then requirement on the diagram on mass of the grid than 10 g.

307
00:44:48.750 --> 00:44:58.170
Muhammad Ansar Iqbal: In 2018 optimizations elsewhere as well as the the resolve to do this offline have moved this requirements from the figure themselves, and these are now.

308
00:44:58.500 --> 00:45:05.460
Muhammad Ansar Iqbal: optimized offline and, for example, just use an example of the cell phone, this is optimized differently in the different categories, because.

309
00:45:06.630 --> 00:45:12.690
Muhammad Ansar Iqbal: The policies are different, so this delphi's optimized differently in different categories we're still keeping the.

310
00:45:14.490 --> 00:45:26.790
Muhammad Ansar Iqbal: intention, he requirement in all this big categories, but there's also the removal of this requirement from the trigger means that we can use some of the some of the events below tangy as our as our control as a control each.

311
00:45:27.960 --> 00:45:38.370
Muhammad Ansar Iqbal: What additionally was done in creating was that another complimentary to go, whether trigger was added with a slight difference eating and that also improve the efficiency and triggers were studied.

312
00:45:38.850 --> 00:45:44.970
Muhammad Ansar Iqbal: and prospects so again from you all familiar with such requirements, but just just for completeness.

313
00:45:45.660 --> 00:45:50.160
Muhammad Ansar Iqbal: In the world right, you can see the variables that are most important for the analysis and.

314
00:45:50.610 --> 00:46:02.760
Muhammad Ansar Iqbal: The first one is really unique to this search, so what we do is, we take the assessment and start with SDA nuance in the figures of involvement and as we're getting started with ptsd and nuance.

315
00:46:03.330 --> 00:46:11.280
Muhammad Ansar Iqbal: SDN transfers and then we try to associate them with dms new ones, so what happens is that if we are able to associate.

316
00:46:11.610 --> 00:46:24.240
Muhammad Ansar Iqbal: PMs be on with lstm you on that St me on is removed from the collection and the tms Milan is put in put in its place so by doing that, but we essentially do is we remove the front backgrounds from the Su this.

317
00:46:24.690 --> 00:46:30.690
Muhammad Ansar Iqbal: Is, and this also increases or enhances the the the resolution of the platform for the.

318
00:46:32.160 --> 00:46:33.090
Muhammad Ansar Iqbal: trustee as well.

319
00:46:34.350 --> 00:46:40.800
Muhammad Ansar Iqbal: For in terms of displacements What we require is the X, Y transpose scale and.

320
00:46:41.400 --> 00:46:48.570
Muhammad Ansar Iqbal: Normally streets and certainty but we call it expired significance and, as you can expect this, as this is expected to be the large in signal.

321
00:46:49.140 --> 00:46:55.890
Muhammad Ansar Iqbal: Then the transfers effect parameter again normalized it's and certainly for this, these are significant sentences and expect to be large signal.

322
00:46:56.670 --> 00:47:05.010
Muhammad Ansar Iqbal: Then what we consider is the angle between the X, Y and then you're picking vector, and this is what we call it angle fi.

323
00:47:05.370 --> 00:47:15.360
Muhammad Ansar Iqbal: And as you can expect for signal this is this is supposed to be spoiled because we're for this analysis we're looking at just at least again to do one, so this is supposed to be small.

324
00:47:16.410 --> 00:47:27.030
Muhammad Ansar Iqbal: For and for vegans will discuss the shapes of the Community different for different backgrounds sources, then what we have his guts on the greater than 10 GB.

325
00:47:27.510 --> 00:47:36.270
Muhammad Ansar Iqbal: And requirements are we on track will be done and webex worthy and since we're testing different mass hypotheses, we have mass windows that correspond to different.

326
00:47:36.690 --> 00:47:48.240
Muhammad Ansar Iqbal: The masses and then for St me once we have conditions on on your timing, as well as the direction in which one was registered and 14 s means we have conditions on isolation.

327
00:47:50.220 --> 00:47:50.700
Muhammad Ansar Iqbal: So.

328
00:47:51.780 --> 00:48:00.120
Muhammad Ansar Iqbal: background, as was already already mentioned in some other thoughts before that in this region that gremlin 10 G standard models artist yes.

329
00:48:00.150 --> 00:48:01.830
James Beacham (he/him): Really quick, you have about five minutes, just like.

330
00:48:02.130 --> 00:48:04.620
Muhammad Ansar Iqbal: Okay, so in the.

331
00:48:05.100 --> 00:48:14.070
Muhammad Ansar Iqbal: In this animal we don't really have we don't really have intrinsic background in this region, so the background in the search comes from this reconstruction and nuances.

332
00:48:15.090 --> 00:48:25.290
Muhammad Ansar Iqbal: And what can be miss reconstructed is Nick if you if you have a very adamant and that can be that can be the.

333
00:48:26.070 --> 00:48:36.270
Muhammad Ansar Iqbal: mean that can be missed reconstructed because of instrumentation false or so on, and this can appear to be natural displace Daniel.

334
00:48:36.810 --> 00:48:47.340
Muhammad Ansar Iqbal: And since the the director does not have a preferred direction with respect to the victor this is symmetric indemnify, as you can see that one of the control agent bottom right.

335
00:48:48.000 --> 00:48:57.900
Muhammad Ansar Iqbal: and other class of accounts that we have is coming from, no mass resonances, for example, chips, I asked in the case of we had runs and.

336
00:48:58.290 --> 00:49:07.650
Muhammad Ansar Iqbal: In some other sources be called tcp like background, this is really a symmetric in delta Phi because a pizza small identify as you can see, on the on the figure button right.

337
00:49:08.730 --> 00:49:22.920
Muhammad Ansar Iqbal: So the background, evaluation and all the categories was by using large and defy events as a proxy for prayer life backgrounds and same site events as a proxy for you see like events and then transfer factors to transfer them to the signal region.

338
00:49:24.720 --> 00:49:31.620
Muhammad Ansar Iqbal: So the sta sta diamond category this this void sensitivity availability gets beyond the record as you've seen.

339
00:49:32.520 --> 00:49:45.150
Muhammad Ansar Iqbal: So for this so specifically we developed ID and Rico requirements for display stand on your hands, and that was used in studied using cosmetics so just to give you an idea this displacement requirements.

340
00:49:45.870 --> 00:49:56.790
Muhammad Ansar Iqbal: In electronic significant Sweden and six is required for this category where they also should mention is that possible beyond one background for the St St then category, so we do.

341
00:49:57.330 --> 00:50:11.130
Muhammad Ansar Iqbal: The requirements as talked about, but we also apply certain other requirements, for example, we reject the configuration of back to back neurons or we require a certain number of them on segments do control the cosmic background.

342
00:50:12.330 --> 00:50:22.620
Muhammad Ansar Iqbal: Then the brilliant easily transfer factors are layered in regions by the job directly working DST two tsp on association and that they're also validated in certain.

343
00:50:23.340 --> 00:50:33.240
Muhammad Ansar Iqbal: Regions and you can see a validation in the top right of the State, the water plots show the result as as a spectrum of Daniel mass.

344
00:50:33.660 --> 00:50:43.830
Muhammad Ansar Iqbal: So in yellow, you have the QC D predicted ingredient, which you don't see in this in this new speakers is the is the daily and we'll just predicted and then dogs.

345
00:50:44.340 --> 00:50:54.330
Muhammad Ansar Iqbal: Are these bad points and but also overlaid are the signals that are constrained by this analysis, as you can see, we don't see in excess in this category.

346
00:50:55.380 --> 00:51:02.460
Muhammad Ansar Iqbal: For the team esteem is Daniel category has a much better resolution he doesn't she masters of issue also resolution.

347
00:51:02.850 --> 00:51:11.130
Muhammad Ansar Iqbal: allows us to grow displacements, which are much smaller than a few centimeters, as I said, you know, an isolation is a great handle to suppress the background in this category.

348
00:51:11.940 --> 00:51:23.760
Muhammad Ansar Iqbal: Also, doing these the sensitivity what we're doing in this category is split it into three categories, based on the based on the minimum of the vizio significance of the two neurons again the the.

349
00:51:24.480 --> 00:51:37.290
Muhammad Ansar Iqbal: Training on Tuesday transfer factors are calculated in dedicated regions and for this case we're using wedded Chi Square and where the isolation regions to study that and again no significant access was observed in this category as well.

350
00:51:38.430 --> 00:51:56.490
Muhammad Ansar Iqbal: The SDA PMs we own category, this is it's resolutions are in the other two categories and it has the requirements which are inherited from the other, to get worse as well as some requirements which are which are which are there because it has its own so we apply some guts.

351
00:51:57.540 --> 00:52:05.910
Muhammad Ansar Iqbal: which are not in the other categories, for example, the the Alex why dependent number of tracker layers and angle between the next five after and the beauty of the.

352
00:52:06.420 --> 00:52:17.160
Muhammad Ansar Iqbal: beauty of the team has me on which is in that, and again as the other categories aspect is overrated in dedicated designed may make regions and then are validated.

353
00:52:17.880 --> 00:52:28.530
Muhammad Ansar Iqbal: In different validation regions and, again, we see that there's no excess of the stonewall background so coming to the results we we we do is.

354
00:52:29.220 --> 00:52:37.470
Muhammad Ansar Iqbal: 95% of the several elements of the older models that I discussed so what I want to highlight here is, if you look at the boat on the bottom left.

355
00:52:38.160 --> 00:52:45.960
Muhammad Ansar Iqbal: You can see the Nice complementarity between the three categories, the green one is the St St which we need to discipline and it's at high.

356
00:52:46.470 --> 00:52:56.940
Muhammad Ansar Iqbal: times the blue one is the SDR team so which quantity to add lifetimes and the red one is the DNS DNS which is done and it's a very small lifetimes.

357
00:52:57.780 --> 00:53:03.120
Muhammad Ansar Iqbal: And as you can also see that we are able to really cover a large dodge bass bass.

358
00:53:03.750 --> 00:53:18.630
Muhammad Ansar Iqbal: With with a modest amount of displacement and you can also see in the paper, for example, the cover a wide range of the masses and interchange of was a message for this one, and then two dimensional limits include or exclude also denied.

359
00:53:19.950 --> 00:53:25.470
Muhammad Ansar Iqbal: So this is my last slide I want to give a quick comparison with those instead of all year round.

360
00:53:26.100 --> 00:53:35.070
Muhammad Ansar Iqbal: So we did the research that I just presented this gives the best constraints in most of the considered masters and lifetimes.

361
00:53:35.490 --> 00:53:45.780
Muhammad Ansar Iqbal: For example, for the debate in his model, as you can see in the two books that I sure what on it gives the best constraints in a large region of this.

362
00:53:46.500 --> 00:53:56.370
Muhammad Ansar Iqbal: light and space and other cms analysis has better sensitivity complimentary energy in these they've done, you can see the volumes of.

363
00:53:57.000 --> 00:54:10.680
Muhammad Ansar Iqbal: Where each analysis is is better than the sensitivity in the site paper, for example, and then for the SMS model we have the best constraints was considered a Masters and a half times so.

364
00:54:12.240 --> 00:54:22.260
Muhammad Ansar Iqbal: not go to the conclusion, as I just said, but one thing that I do want to mention is that the sensitivity of this search is really limited by the trigger and this, you can see, on the plot on the right.

365
00:54:22.650 --> 00:54:29.940
Muhammad Ansar Iqbal: And so, for the next iteration of that either they were doing certain trigger improvements and trying to improve the sensitivity of the search by.

366
00:54:30.990 --> 00:54:31.950
So thanks.

367
00:54:33.420 --> 00:54:33.990
James Beacham (he/him): fantastic.

368
00:54:35.130 --> 00:54:43.170
James Beacham (he/him): Fantastic really nice talking points are great result of love to see these longer lifetimes getting the more coverage their questions matt go ahead.

369
00:54:44.940 --> 00:54:54.840
Matt Strassler: i'm really nice results, then the question I have has to do with isolation, as you said, to the trigger is limiting factor.

370
00:54:55.380 --> 00:55:07.410
Matt Strassler: For for the sensitivity to the models that you consider there are other models in which your typical displace to vertex is going to be in the middle of other crap, and so the question is, at least for the the.

371
00:55:08.610 --> 00:55:19.290
Matt Strassler: Higher the zeros for the tms tms category could you could you potentially relax that going forward relax isolation going forward and start to probe these other months.

372
00:55:19.710 --> 00:55:26.970
Muhammad Ansar Iqbal: Yes, absolutely so So this was not very clear, it might not because there was no thanks so.

373
00:55:27.660 --> 00:55:36.360
Muhammad Ansar Iqbal: Isolation so let me, let me try to clarify that, so we have these three categories which are Joyce gst STD message schema schema cms is the one that but.

374
00:55:36.750 --> 00:55:40.050
Muhammad Ansar Iqbal: that's really relevant and small lifetimes.

375
00:55:40.410 --> 00:55:43.440
Muhammad Ansar Iqbal: So for the tms tms because that's reconstructed in the tracker.

376
00:55:43.620 --> 00:55:55.890
Muhammad Ansar Iqbal: We we did apply isolation requirements for the other two, four and 40, for example, for the St St you get away with not apply an isolation requirement and it's exactly because of the reason that he said so, for example, we we could get.

377
00:55:56.550 --> 00:56:06.360
Muhammad Ansar Iqbal: You could get the be barred from from nlp and we want to protect and so that that's going to be how you this place, and so, if we apply a nice addition we're going to get out kind of.

378
00:56:06.780 --> 00:56:17.430
Muhammad Ansar Iqbal: signal from there, so we do not apply an isolation on on this St St again and, in addition to that, the isolation that we do apply on tms dms that's highly dated.

379
00:56:17.940 --> 00:56:26.730
Muhammad Ansar Iqbal: For for the search for example, just to give an example it's not exactly the same point, but the standardized solution that is used in most of the searches.

380
00:56:27.330 --> 00:56:32.790
Muhammad Ansar Iqbal: That just looks at one particle and then it looks at all the all the beauty that's around that and just.

381
00:56:33.420 --> 00:56:40.350
Muhammad Ansar Iqbal: coincidence that as as consultants that in isolation but, in our case, for example, we have two new ones or Formula one category.

382
00:56:40.680 --> 00:56:46.140
Muhammad Ansar Iqbal: In that case, the other neurons which are, which are the non published yesterday, she was being considered.

383
00:56:46.680 --> 00:56:54.390
Muhammad Ansar Iqbal: That that's that doesn't go into the isolation, so we have delegated the done that, and then we do the parameters that go into the calculation, the isolation.

384
00:56:54.960 --> 00:57:07.440
Muhammad Ansar Iqbal: So it's definitely this can be doing more, as you said, depending on the model that we're considering it's ready to be relatively modern and in the search STDs and do that but absolutely thanks for bringing that up.

385
00:57:08.790 --> 00:57:09.300
Matt Strassler: Thanks.

386
00:57:12.510 --> 00:57:13.110
Okay, great.

387
00:57:14.130 --> 00:57:15.420
James Beacham (he/him): Further questions for answer.

388
00:57:23.850 --> 00:57:28.200
James Beacham (he/him): Alright sounds like a nice place to end there, thanks again, and so, for the great talk.

389
00:57:28.260 --> 00:57:35.430
James Beacham (he/him): And again continual reminder go to matter most most more discussion there people might have questions if you do have a question go over there and paying answer.

390
00:57:35.910 --> 00:57:36.180
Muhammad Ansar Iqbal: yeah.

391
00:57:36.540 --> 00:57:37.590
James Beacham (he/him): All right next up, we have.

392
00:57:37.770 --> 00:57:41.700
James Beacham (he/him): neha neha with atlas non pointing photons are you here.

393
00:57:54.510 --> 00:57:57.360
James Beacham (he/him): Now, are you here, I see you connected.

394
00:58:09.480 --> 00:58:17.190
James Beacham (he/him): don't see any response yet we're a couple of minutes ahead of schedule so let's offline send a quick email to me.

395
00:58:18.360 --> 00:58:23.580
James Beacham (he/him): So everybody just kind of like hang out for a couple of minutes and we'll see if we can get her slides up and running.

396
00:59:38.520 --> 00:59:39.930
Sai Neha Santpur (she/her): hi everyone can you hear me now.

397
00:59:43.110 --> 00:59:44.250
James Beacham (he/him): Yes, we can hear you now.

398
00:59:44.760 --> 00:59:47.700
Sai Neha Santpur (she/her): buddy yeah my computer froze so I had to restart it.

399
00:59:48.480 --> 00:59:49.800
Sai Neha Santpur (she/her): Yes, yeah.

400
00:59:51.510 --> 01:00:02.700
James Beacham (he/him): Great we are here and ready to go so yeah we have never had to talk about displays for 10s and so please go ahead we'll give you a heads up verbal heads up when you've got a few minutes left.

401
01:00:03.450 --> 01:00:03.960
Sai Neha Santpur (she/her): i'm saying.

402
01:00:05.040 --> 01:00:12.330
Sai Neha Santpur (she/her): hi everyone today we'll be talking about search with displays proton used in the exotic The case of the standard model higgs boson.

403
01:00:12.540 --> 01:00:18.270
Sai Neha Santpur (she/her): Using the Atlas detector so So what exactly is the signal model i'm talking about.

404
01:00:19.080 --> 01:00:27.630
Sai Neha Santpur (she/her): it's shown in the apartment items here below where we have like the standard model hicks produced in association with a Z w or the Tiki bar.

405
01:00:27.930 --> 01:00:38.580
Sai Neha Santpur (she/her): And we basically use the leptons from the associated production to trigger our entire event and the interesting decay part here is the higgs digging into to.

406
01:00:39.030 --> 01:00:47.040
Sai Neha Santpur (she/her): Longer particle pairs here is the next to like the supersymmetric particle which is generally a neutrino and then.

407
01:00:47.700 --> 01:00:53.640
Sai Neha Santpur (she/her): It Long live so Charles certain distance and our detector and the keys to a futon and stable LSD.

408
01:00:54.210 --> 01:01:00.810
Sai Neha Santpur (she/her): So the signature, that you would the final state signature, that you would see in our detector is at least one displaced photon.

409
01:01:01.260 --> 01:01:10.230
Sai Neha Santpur (she/her): And, in association with some met that arises from the stable lps that we have here, and also from any neutrinos and the associated production.

410
01:01:10.770 --> 01:01:19.320
Sai Neha Santpur (she/her): And here's the week coupling between the two supersymmetric particles leads to the lifetime for the analyst be.

411
01:01:20.130 --> 01:01:28.830
Sai Neha Santpur (she/her): So this result is extremely new so it was just public I think roughly a month ago, and we are currently in preparation to submit it.

412
01:01:29.220 --> 01:01:38.910
Sai Neha Santpur (she/her): To the prt journal by this Friday so it's very exciting, so let me tell you why this is interesting and what exactly was appealing to me for.

413
01:01:39.720 --> 01:01:46.320
Sai Neha Santpur (she/her): My PhD so personally no evidence has been pomper supersymmetry using traditional searches.

414
01:01:46.770 --> 01:01:55.080
Sai Neha Santpur (she/her): And, given that many particles and standard model itself have nonzero lifetime it's a priori not given that.

415
01:01:55.500 --> 01:02:06.960
Sai Neha Santpur (she/her): DSM might be trumped so there could be some signatures that have finite lifetimes and this particular signature is interesting because the current limits on hicks to undetected.

416
01:02:07.350 --> 01:02:15.060
Sai Neha Santpur (she/her): particles the branching ratio is around 21%, which means the signal that i'm talking about if let's say it exists in nature and.

417
01:02:15.660 --> 01:02:24.300
Sai Neha Santpur (she/her): happens at like branching ratio of at around 10% it's relatively low hanging fruit that we should be able to see using the run to data from hd.

418
01:02:25.140 --> 01:02:33.270
Sai Neha Santpur (she/her): And, as I said, this is an unexplored pace pace that have been few displays photon searches done in the past by both atlas and cms.

419
01:02:33.570 --> 01:02:40.920
Sai Neha Santpur (she/her): But, know that the target a completely different signal model when they look at GM SP models were typically photons have.

420
01:02:41.730 --> 01:02:50.280
Sai Neha Santpur (she/her): PT in the range of hundreds of GB and associated with very large Meta as well, but here we're looking at very soft photons typically.

421
01:02:50.670 --> 01:03:00.690
Sai Neha Santpur (she/her): With PT between 10 to 20 TV and the metals around hundred GB so the face pieces that we are probing are completely new that comes with its own set of unique challenges.

422
01:03:01.440 --> 01:03:10.800
Sai Neha Santpur (she/her): And what I also like about this analysis is that it uses higgs boson as appropriate sensor sex and that's shown in the cartoon here, this is a cartoon from one of the.

423
01:03:11.370 --> 01:03:22.440
Sai Neha Santpur (she/her): Symmetry magazines, I think, from a few months ago where susie could be neatly hiding between higgs bosons and this particular signal search involves.

424
01:03:23.010 --> 01:03:28.140
Sai Neha Santpur (she/her): A unique and challenging final state where we need to deconstruct this place for brands, using the Atlas.

425
01:03:28.800 --> 01:03:41.400
Sai Neha Santpur (she/her): Electromagnetic perimeter and the Atlas decal is very uniquely equipped to detect both the time of arrival of the photon and and it's directional flight which we use a smoking gun to look at the signal.

426
01:03:42.330 --> 01:03:51.420
Sai Neha Santpur (she/her): So talking about the uniqueness of the final state, the first thing would be to talk about food on point So what exactly is pointing pointing is basically.

427
01:03:52.170 --> 01:04:04.470
Sai Neha Santpur (she/her): The direction of flight of the incoming photon when it hits on kilometers so the schedule for atlas eagle is given on the left here, and you can see that it's longitudinally segmented you have three different.

428
01:04:05.040 --> 01:04:13.200
Sai Neha Santpur (she/her): layers and let's imagine like a photon hits are equal and these are the energy deposits that you see in yellow in different layers.

429
01:04:13.890 --> 01:04:23.310
Sai Neha Santpur (she/her): of our kilometer so typically if you join simplistically if you join the centroid of the energy deposits and the first two layers and extrapolated back to the big pipe.

430
01:04:23.970 --> 01:04:31.860
Sai Neha Santpur (she/her): let's say the photon was prompt and it was produced in the primary vertex collision, then it would point back to the primary will text on the beam pipe.

431
01:04:32.700 --> 01:04:47.460
Sai Neha Santpur (she/her): But in case the photon is produced from a disclaimer object, as shown in the cartoon on the top right, you can see that, when you join the red dots which are the centroid so the energy deposit and extrapolated back you point back to a.

432
01:04:48.510 --> 01:04:57.570
Sai Neha Santpur (she/her): place on the bean pie, which is away from the primary webex and the separation between these two are on the been pipe is what we refer to as put on pointing.

433
01:04:58.200 --> 01:05:13.650
Sai Neha Santpur (she/her): So here, basically, the direction of flight is different, based on the mass and the lifetime of the parent particle and the angle, at which the incoming for gun is produced at the decay vertex so how good is the resolution.

434
01:05:14.730 --> 01:05:20.220
Sai Neha Santpur (she/her): Pointing resolution in the Atlas electromagnetically meter it's shown in the bottom right plot here.

435
01:05:20.550 --> 01:05:32.700
Sai Neha Santpur (she/her): Where, for example, we can look at the point in Resolution on the y axis and the photon PT on the X axis, so the best case scenario for very high energetic photons we have a resolution of around 15 millimeters.

436
01:05:33.540 --> 01:05:44.010
Sai Neha Santpur (she/her): In the battle region, but in the region of interest for this analysis, which is sitting in the bottom left here it's typically around 25 to 40 millimeters.

437
01:05:45.150 --> 01:05:51.180
Sai Neha Santpur (she/her): And the other variable that we use to distinguish a signal and background is put on finding the.

438
01:05:51.630 --> 01:05:57.780
Sai Neha Santpur (she/her): atlas electromagnetic kilometer records the time of arrival of photon in each and every cell of the kilometers.

439
01:05:58.110 --> 01:06:14.640
Sai Neha Santpur (she/her): So, in order to officially define the time of arrival, we look at a particular cell in the calorie meter which we refer to as the highest energy cell in the second layer This is basically where most of the photons energy is deposited in a single cell for the.

440
01:06:15.930 --> 01:06:27.360
Sai Neha Santpur (she/her): photons of interest to us, which have PDF 10 to 30 gv almost 70% of the photons energy is deposited in this particular cell, so we use the time of arrival from the cell as a proxy for the entire.

441
01:06:27.780 --> 01:06:39.990
Sai Neha Santpur (she/her): Cluster but to avoid correlations with the neighboring cells and the photon timing is defined as the delay in arrival time compared to the prompt photon and.

442
01:06:40.620 --> 01:06:56.340
Sai Neha Santpur (she/her): As can be seen in the previous cartoon the delay arises from the additional leg that the nsp travels before we dig into the photon for our signal, so how exactly do we calibrate and measure the.

443
01:06:57.930 --> 01:07:06.810
Sai Neha Santpur (she/her): performance of our calorie meter we do that, using electrons from w two EMU decades, and also the to eat electrons are used as validation.

444
01:07:07.410 --> 01:07:25.170
Sai Neha Santpur (she/her): So no tech from most instances electron serve as a very good proxy for photons, and this was definitely true and run one analysis, where we were looking at photons with PT of hundreds of gv but the cases a little different for low PT photons, for example.

445
01:07:26.250 --> 01:07:34.260
Sai Neha Santpur (she/her): In the middle plot here before we applied any other correction, we just took the calibrations from electrons and applied it to photons.

446
01:07:34.710 --> 01:07:44.970
Sai Neha Santpur (she/her): So the electrons are in the blue curve here and the red is the photons from radiative Z to case so basically there is some difference in.

447
01:07:45.690 --> 01:07:53.460
Sai Neha Santpur (she/her): performance of the timing for electrons and protons in the low PT or low energy range, which is of interest to us.

448
01:07:53.940 --> 01:08:04.110
Sai Neha Santpur (she/her): And at high energy is they basically agree with and statistics, so we wanted to make sure that we got this difference right, because I think this was off the order of 200 because second difference.

449
01:08:05.250 --> 01:08:10.320
Sai Neha Santpur (she/her): So, once we identified that this was an issue we looked at the D waiting.

450
01:08:11.160 --> 01:08:18.630
Sai Neha Santpur (she/her): To be done in cluster energy for both of these samples, and we applied one additional production to account for any residual differences.

451
01:08:19.050 --> 01:08:27.180
Sai Neha Santpur (she/her): So once that was applied, we can see in the right most plot that the electrons and the photons are very quite well in the lobby range.

452
01:08:27.930 --> 01:08:38.370
Sai Neha Santpur (she/her): So the timing resolution itself tender solution diseases with energy as you would expect, and it plateaus around the been spread of 200 people seconds for high energy.

453
01:08:38.790 --> 01:08:48.300
Sai Neha Santpur (she/her): photons so typically the region of interest to us is somewhere here and we have a performance as good as 300 because seconds and change.

454
01:08:49.590 --> 01:08:53.760
Sai Neha Santpur (she/her): So these are the two variables that we would use to distinguish our signal and background, but.

455
01:08:54.300 --> 01:09:00.150
Sai Neha Santpur (she/her): How exactly do we select our events it's listed here, as I mentioned before we using single leptons triggers.

456
01:09:00.900 --> 01:09:12.240
Sai Neha Santpur (she/her): and offline we require at least one left on to be triggered matched and the PD greater than 27 GB and it has pretty standard identification and isolation requirements.

457
01:09:12.720 --> 01:09:16.980
Sai Neha Santpur (she/her): And then we require at least one battle photon with PD greater than 10 GB.

458
01:09:17.610 --> 01:09:25.590
Sai Neha Santpur (she/her): And the battle requirement is important here, because both the timing and pointing performance in battle is much better compared to that in the.

459
01:09:26.430 --> 01:09:38.490
Sai Neha Santpur (she/her): Capital Region and one important thing that's put on is required to satisfy a loser identification requirement, which relies only on a minimal shovel shaped variable primarily in the second layer

460
01:09:39.240 --> 01:09:48.960
Sai Neha Santpur (she/her): So this is important for this analysis, because depending on the angle, at which the signal photon hits the calorie meter the shower ship would look completely different from a prompt photon.

461
01:09:49.500 --> 01:10:03.540
Sai Neha Santpur (she/her): And this distinction could basically reconstruct our signal photons as faithful don candidates and and it would not pass the identification so i'll just comment on the rooms identification a little later.

462
01:10:04.500 --> 01:10:13.410
Sai Neha Santpur (she/her): And once we select our events we divide the analysis into multiple regions, the to the signal agents are identified.

463
01:10:13.950 --> 01:10:26.340
Sai Neha Santpur (she/her): separately for two cases, one is where we targeted the signal points with the masturbating between the nsp nsp to be greater than 10 GB, this is what we refer to as high masquerading analysis.

464
01:10:26.820 --> 01:10:37.950
Sai Neha Santpur (she/her): And the signal region is identified with matt greater than 50 GB and the easel which I defined earlier, which is the highest energy deposited sell in the second layer of our calorie meter greater than 10 g.

465
01:10:38.970 --> 01:10:48.360
Sai Neha Santpur (she/her): The opposite analysis that proceeds in parallel to this is what targets, the low man spreading regime where the massive difference is equal to 10 g.

466
01:10:49.170 --> 01:10:53.430
Sai Neha Santpur (she/her): Here we increase the market for our signal region to at gv.

467
01:10:54.240 --> 01:11:06.690
Sai Neha Santpur (she/her): To ensure this, higher signal to background ratio for the signal points, and we also reduce the cell cut from 10 to seven will be for the low mass meeting analysis to increase our signal acceptance.

468
01:11:07.290 --> 01:11:17.820
Sai Neha Santpur (she/her): Because the photons resulting from lumosity eating analysis generally are softer so we reduce the esl cut corresponding correspondingly and for each of these.

469
01:11:17.880 --> 01:11:18.510
analysis.

470
01:11:19.800 --> 01:11:22.500
James Beacham (he/him): Quick quick know you have about five minutes thanks yeah.

471
01:11:22.800 --> 01:11:25.170
Sai Neha Santpur (she/her): So these two analysis proceed and paddle.

472
01:11:25.470 --> 01:11:27.060
Sai Neha Santpur (she/her): And the control region is.

473
01:11:28.140 --> 01:11:38.880
Sai Neha Santpur (she/her): So there are two different regions that we define for the analysis, one is the control region with much less than 30 TV and another is a validation region with intermediate match so.

474
01:11:39.540 --> 01:11:50.250
Sai Neha Santpur (she/her): This analysis completely user data driven techniques PR background estimation, and our background is extensively validated in this intermediate validation region and also another.

475
01:11:50.850 --> 01:11:55.770
Sai Neha Santpur (she/her): region which is same as our signal region definition, but the negative timing region.

476
01:11:56.220 --> 01:12:03.930
Sai Neha Santpur (she/her): This region is perfect, because there is no signal contamination on the negative timing side, so we can basically use this as a proxy to make sure that our.

477
01:12:04.440 --> 01:12:12.840
Sai Neha Santpur (she/her): background validation works and the background agrees with data in this region, all of the validation clocks are given in backup if you're interested.

478
01:12:13.620 --> 01:12:20.850
Sai Neha Santpur (she/her): And all of the selections and buildings that I mentioned here are optimized but the heart of the analysis is how we basically.

479
01:12:21.360 --> 01:12:34.470
Sai Neha Santpur (she/her): performed effect to our time shift the idea here is to perform simultaneous speak to the timing sheep in the 10 different categories that we identify based on the photon pointing and the number of photons.

480
01:12:34.740 --> 01:12:44.820
Sai Neha Santpur (she/her): which are listed on the right here, so we basically categorize our events into one photon and greater than or equal to two photon channels and in each of these we identify by pointing categories.

481
01:12:45.450 --> 01:12:54.660
Sai Neha Santpur (she/her): And then we split the time distribution in each of these categories so just to give an analysis overview How exactly do we determine our.

482
01:12:55.500 --> 01:13:12.480
Sai Neha Santpur (she/her): make our background estimation, so the goal of this analysis is to come up with the standard model background prediction and then compare it against data and see how consistent, they are with each other so for this we basically start with the control region and we identified two different.

483
01:13:13.620 --> 01:13:19.950
Sai Neha Santpur (she/her): Timing shapes as timing shape templates one which is defined at stake for dance and another one is real to dance.

484
01:13:20.490 --> 01:13:31.530
Sai Neha Santpur (she/her): So the idea here is to form a complete basis of timing shapes using two complimentary put on time distributions and once we define two complimentary.

485
01:13:32.250 --> 01:13:40.170
Sai Neha Santpur (she/her): put on timing distributions we can pick any shape that we desire by basically doing a linear combination of these two.

486
01:13:40.950 --> 01:13:44.790
Sai Neha Santpur (she/her): So the way we define these templates would be given in the next.

487
01:13:45.360 --> 01:13:55.620
Sai Neha Santpur (she/her): slide but, basically, the idea is, we have a real foot on timing template and a faithful on timing template and we leave the mixing traction as a parameter and aspect.

488
01:13:55.950 --> 01:14:01.290
Sai Neha Santpur (she/her): that's how we basically a similar background and the validation is propounding to intermediate region.

489
01:14:01.590 --> 01:14:11.820
Sai Neha Santpur (she/her): And signal region itself, which is defined as our hybrid region, the signal typically populates in large pointing and timing vince, whereas the background, which is predominantly made of.

490
01:14:12.240 --> 01:14:28.740
Sai Neha Santpur (she/her): jealous or electron speaking photons or prompt photons these generally populate the low point in time in distribution, and then we fit the end dimensional PDF for the timing distributions in each of these 10 activities that we have.

491
01:14:29.850 --> 01:14:40.380
Sai Neha Santpur (she/her): So many people are defined as follows, for the real enhanced one we take the photons from the radiator see the case and also we combine it with control region.

492
01:14:40.920 --> 01:14:47.430
Sai Neha Santpur (she/her): photons which pass a title identification requirement, so this ensures that the population of this.

493
01:14:48.120 --> 01:14:55.440
Sai Neha Santpur (she/her): Timing template that we obtained is populated more by the real photons than any paid photons the complimentary template.

494
01:14:55.740 --> 01:15:04.770
Sai Neha Santpur (she/her): For this is the fake enhanced template where we require the photons in the control regions to pass the loose identification but feel the tighter identification.

495
01:15:05.160 --> 01:15:14.460
Sai Neha Santpur (she/her): Once we required that these two templates completely define our basis for timing fits and once we construct these templates we.

496
01:15:15.300 --> 01:15:32.400
Sai Neha Santpur (she/her): As i've shown before the vote on timing depends extremely on the easel variable because it correlated and we need to ensure that the templates that we have defined match informatics to us in Belgium, so this is done by a simple rebuilding in this variable and then we.

497
01:15:33.450 --> 01:15:49.350
Sai Neha Santpur (she/her): Put the resulting the way to templates we see that they have a residual mean have around 50 because seconds, so we just shipped the templates to make sure that there is no bias and, finally, the purity, which is the mixing faction of these two template is of the parameter announcement.

498
01:15:50.370 --> 01:15:59.880
Sai Neha Santpur (she/her): So, just a quick note on how our signal was as background looks before a show you a couple of resulting plots so the pointing distribution is shown on the.

499
01:16:00.360 --> 01:16:08.670
Sai Neha Santpur (she/her): left side for black and red flags here, which are the real and the fake and constantly and different signal points are overlaid on the spot.

500
01:16:09.120 --> 01:16:18.360
Sai Neha Santpur (she/her): You can see immediately that the pointing does not give you a very good discrimination between civilian background, if our signal region time distribution looks like the red one.

501
01:16:19.290 --> 01:16:26.370
Sai Neha Santpur (she/her): On the other hand, if we look at the timing distribution on the right side you can immediately see that the signal has much broader.

502
01:16:26.880 --> 01:16:41.430
Sai Neha Santpur (she/her): tail compared to both of the templates that we have so timing would give you a smoking gun distinction between our signal in background, which is the distribution, we are trying to set and we slice and dice three categories, based on the Left plot here.

503
01:16:43.320 --> 01:16:53.910
Sai Neha Santpur (she/her): And, just a quick note the blues identification that I mentioned earlier, for the highest pointing categories that we have the identification admission fee is around 80%.

504
01:16:54.450 --> 01:17:07.980
Sai Neha Santpur (she/her): And this is why we use the loser identification, just as an example, if we had used medium or tighter identification, which is most standard foot on objects and atlas This efficiency would be around 60% or lower.

505
01:17:08.400 --> 01:17:27.660
Sai Neha Santpur (she/her): So that's why we restrict ourselves to the loser identification here and, just a quick note on the statistical model, so the basically our timing PDF is modeled by this box that i'm showing here where nbs our background normalization, which is a parameter and outfit, and this is.

506
01:17:28.830 --> 01:17:37.560
Sai Neha Santpur (she/her): Basically, the real enhanced template that is normalized with the mixing faction and the speak enhanced employee to just normalize by one minus the mix infection.

507
01:17:37.920 --> 01:17:43.590
Sai Neha Santpur (she/her): So this part in entirety describes our background template and then we combine it with our.

508
01:17:44.100 --> 01:17:54.780
Sai Neha Santpur (she/her): signal template which comes completely from Monte Carlo code and normalization and the signal shape come from Article the goal here is to fit our branching they show PICs to.

509
01:17:55.530 --> 01:17:59.640
Sai Neha Santpur (she/her): The nsp pair that is a parameter of interest in the set.

510
01:18:00.420 --> 01:18:10.890
Sai Neha Santpur (she/her): know that this is a very simplistic box here all of the systematic uncertainties are of course included, as recent parameters, so there are many one plus delta Sigma terms that you can imagine, added to this box.

511
01:18:11.490 --> 01:18:21.900
Sai Neha Santpur (she/her): and external validation of this statistical interpretation is performed in the validation regions and successfully so so the data agrees with the background in all of our validation regions that we are studying.

512
01:18:22.590 --> 01:18:26.550
Sai Neha Santpur (she/her): With that in mind how does our data compared to background in a single region.

513
01:18:27.030 --> 01:18:34.980
Sai Neha Santpur (she/her): i'm showing here to have the categories that one of the categories that we have for both the high math reading on the left a little mosque on the right.

514
01:18:35.340 --> 01:18:41.550
Sai Neha Santpur (she/her): So the question to ask you this, how good data these with background, so you need to compare the black versus the blue curves.

515
01:18:41.970 --> 01:18:50.430
Sai Neha Santpur (she/her): And this is the highest pointing them, so if there was a signal, like a shown in the dread dashed line here at the branch and we shop around 20% it.

516
01:18:51.000 --> 01:18:57.000
Sai Neha Santpur (she/her): It would have popped up as an example, so one spoiler is that there's no.

517
01:18:57.660 --> 01:19:06.990
Sai Neha Santpur (she/her): Extra there's no significant access that we have seen in either of the analysis and given that the data and background quite well with each other, now we can proceed to.

518
01:19:07.500 --> 01:19:16.110
Sai Neha Santpur (she/her): Please exclusion limits on the signal models so how good do our limits look like we basically can exclude.

519
01:19:16.830 --> 01:19:26.550
Sai Neha Santpur (she/her): The branch and ratio PICs to nsp pair at around 1% for our best case signal point which is sitting here the mass of nsp is on the X axis and the mass of the.

520
01:19:27.360 --> 01:19:38.280
Sai Neha Santpur (she/her): MSP is on the y axis, but a lifetime of to nanoseconds so basically the best performing scenario is the bottom right corner here, which is, which also corresponds to.

521
01:19:39.120 --> 01:19:52.350
Sai Neha Santpur (she/her): The place where we have the highest proton acceptance, because this is the highest PT photons life and, as we move away from this plot in either direction that put on acceptance drops which also develops and worse sensitivity and.

522
01:19:53.460 --> 01:20:05.940
Sai Neha Santpur (she/her): Given that the graduation of pigs to undetected limit is around 20% you can see, this 10% control, here we can exclude almost all of the space space, based on the analysis that they presented you.

523
01:20:06.390 --> 01:20:13.320
Sai Neha Santpur (she/her): Similarly for 10 on a second point it's the same product shown on the right here for a different lifetime and you can immediately see that.

524
01:20:13.590 --> 01:20:25.230
Sai Neha Santpur (she/her): The higher lifetime it get the limits get worse, compared to the Lord lifetime, because the probability of at least one and LSD decaying before the color images goes down and it eats into your signal acceptance.

525
01:20:26.280 --> 01:20:29.400
Sai Neha Santpur (she/her): So on slide 14 this would be the last night I would show.

526
01:20:30.360 --> 01:20:38.010
Sai Neha Santpur (she/her): On I can, I think we can concentrate on the top left one year here the branching ratio or PICs to endless be limits are shown on the y axis.

527
01:20:38.370 --> 01:20:48.090
Sai Neha Santpur (she/her): Against the lifetime of analysts be on the X axis and for a mass of analysts be sitting at 60 GB and different controls, corresponding to different muscle llc.

528
01:20:48.570 --> 01:21:05.460
Sai Neha Santpur (she/her): And one thing to note here is the sweet spot for our sensitivity lives around to nanoseconds and it gets worse in either direction at holly lifetimes, just as I said just before the probability of at least one nlp decaying before Kelly Mitchell goes down.

529
01:21:19.020 --> 01:21:20.040
James Beacham (he/him): They are you still there.

530
01:21:27.180 --> 01:21:28.440
James Beacham (he/him): Can anyone else here and they had.

531
01:21:30.960 --> 01:21:31.800
Michael Albrow: We lost sound.

532
01:21:32.460 --> 01:21:36.060
James Beacham (he/him): Okay sounds like we lost her might have been another frozen connection.

533
01:21:42.360 --> 01:21:45.120
James Beacham (he/him): let's give it a couple of seconds to see if she comes back and.

534
01:21:52.380 --> 01:21:53.280
James Beacham (he/him): yeah it looks like she got.

535
01:21:55.380 --> 01:22:03.630
James Beacham (he/him): rejected they were we're getting to we're into the coffee break here let's just give her two seconds, maybe she'll connect we're gonna have a couple of questions or maybe just one quick question.

536
01:22:04.650 --> 01:22:10.110
James Beacham (he/him): If she doesn't connect that we can take our coffee break and maybe have questions at the very beginning, before the next session.

537
01:23:12.720 --> 01:23:13.680
James Beacham (he/him): Alright let's do this.

538
01:23:14.970 --> 01:23:24.540
James Beacham (he/him): she's probably going to be reconnecting so let's take a break right now and then we will Ping may have let her know that we can have a quick one or two questions at the very beginning of the next session.

539
01:23:26.040 --> 01:23:36.930
James Beacham (he/him): And that is going to start at 445 so let's do that let's meet back here at 445 we can maybe have one quick question for you and then oh there, she is let's see if she's she's here.

540
01:23:38.400 --> 01:23:40.530
Sai Neha Santpur (she/her): hi just confirming if you can still hear me.

541
01:23:41.220 --> 01:23:42.360
James Beacham (he/him): Now we can hear you this.

542
01:23:43.230 --> 01:23:52.050
Sai Neha Santpur (she/her): i'm excited extremely sorry for the disruption, we lost like electricity few hours ago, so I was connected with my phone so yeah apologies.

543
01:23:52.650 --> 01:23:52.980
Sai Neha Santpur (she/her): Okay.

544
01:23:53.070 --> 01:23:55.230
James Beacham (he/him): No problem I think you're pretty much to the idea.

545
01:23:55.830 --> 01:24:01.320
Sai Neha Santpur (she/her): Well, this is my first presentation i'm giving from India and yeah it's been a disaster so far.

546
01:24:02.040 --> 01:24:03.390
James Beacham (he/him): Thanks for sticking with us it's great.

547
01:24:04.440 --> 01:24:08.280
James Beacham (he/him): yeah we're pretty much at the end of the time, if you want to just wrap up or maybe you have one time for one question.

548
01:24:09.300 --> 01:24:19.800
Sai Neha Santpur (she/her): So maybe you can just conclude now, so this is this analysis has been extremely exciting because it presents very unique challenges dealing with like non pointing and delete photons.

549
01:24:20.100 --> 01:24:31.560
Sai Neha Santpur (she/her): and particularly the Atlas electromagnetic calorie meter is equipped to deal with this beautifully it presents like a resolution in timing of 200 seconds and pointing of 20 billion meters, which is great.

550
01:24:31.980 --> 01:24:41.640
Sai Neha Santpur (she/her): Having said that, there are multiple things that we could improve on this analysis, looking forward, and a couple of things that I personally like to do is.

551
01:24:42.090 --> 01:24:53.190
Sai Neha Santpur (she/her): One of them is to make this analysis, much more model independent so currently one of the problems is that we using left hand triggers and triggering of face to face with the photons are extremely soft and with low met.

552
01:24:53.790 --> 01:25:00.660
Sai Neha Santpur (she/her): So one thing that would benefit this analysis is to use flt trigger on.

553
01:25:01.260 --> 01:25:08.670
Sai Neha Santpur (she/her): The time of arrival of the photons if we have displays put on dedicated displays put on triggers and then we could combine it with some net.

554
01:25:09.000 --> 01:25:22.020
Sai Neha Santpur (she/her): and make this analysis, a little more model independent that we can also target this and on this page space and also the one that are that was targeted in one one and run to without doing separate analysis.

555
01:25:22.740 --> 01:25:31.170
Sai Neha Santpur (she/her): One unique place that atlas put him through on compared to cms is to improve the displays put on identification and the point of information.

556
01:25:31.650 --> 01:25:42.150
Sai Neha Santpur (she/her): And machine learning could be and very useful tool here, because the signal shower shape looks completely different based on the angle, at which our signal heads.

557
01:25:42.450 --> 01:25:50.820
Sai Neha Santpur (she/her): And the traditional reconstruction algorithms that identify the rules for dance could basically throw out our signal events thinking that they.

558
01:25:51.240 --> 01:25:56.040
Sai Neha Santpur (she/her): have paid for don candidate, so that would definitely be a place that we could improve.

559
01:25:56.490 --> 01:26:06.540
Sai Neha Santpur (she/her): And also cms does something extremely clever that they use the time we information from the eagle do to provide a complimentary method to explode the displays jet bass bass.

560
01:26:06.900 --> 01:26:21.510
Sai Neha Santpur (she/her): So something that atlas can also do in round three and beyond, so I see a lot of excitement, at least with the display of protons in the near future, and I hope you do too as well, thank you very much for sticking with me for this entire time apologies again.

561
01:26:22.200 --> 01:26:28.470
James Beacham (he/him): No, no, no problem at all thanks for thanks for sticking with us and seeing it through to the end, we have time for maybe one quick question for now.

562
01:26:36.060 --> 01:26:38.280
James Beacham (he/him): Okay, we have a couple of quick points so Joe go ahead.

563
01:26:40.260 --> 01:26:41.040
Joel Jones-Pérez (PUCP): hi can you hear me.

564
01:26:41.550 --> 01:26:42.450
Sai Neha Santpur (she/her): yeah I can hear you.

565
01:26:43.980 --> 01:26:47.430
Joel Jones-Pérez (PUCP): Have you considered a triggering where the victor Busan fusion.

566
01:26:48.510 --> 01:26:52.470
Joel Jones-Pérez (PUCP): I understand that the background, Sir bit more under control, you should.

567
01:26:53.430 --> 01:27:01.200
Sai Neha Santpur (she/her): yeah I think yeah one thing that we only did here is the associated production but definitely like.

568
01:27:01.650 --> 01:27:18.570
Sai Neha Santpur (she/her): VP of and also blue on blue on fusion could be another place, that we could considerably improve in our class sections as well, but i'm not sure like how good the forward triggers are for reject triggers are, in this case, so we have not really looked at that.

569
01:27:21.390 --> 01:27:22.200
Joel Jones-Pérez (PUCP): thinking.

570
01:27:26.130 --> 01:27:35.670
James Beacham (he/him): All right, fantastic in the interest of time let's take the further questions and let's put them over to matter most neha you'll probably find your way over to matter most at some point, and if there's any follow up questions is a good place to put them.

571
01:27:36.030 --> 01:27:48.510
James Beacham (he/him): And for now let's take our coffee break and we will come back at 445 so about seven minutes very quick Espresso and then come back here for the discussion of the D dx access quote unquote so see you back in a few minutes.