WEBVTT 00:00:00.000 --> 00:00:00.000 Yeah, I just pinged Federico and he needs to give the rest of us. Organizers co host he hasn't done it yet, so I don't know where he is. There we go out of your. 00:00:00.000 --> 00:00:00.000 Okay, that's weird okay I'll do it. 00:00:00.000 --> 00:00:00.000 So, can you assign co host to the rest of us and it hit record. 00:00:00.000 --> 00:00:02.000 Hit, hit record. 00:00:02.000 --> 00:00:13.000 Okay. Okay. Can you see the recording, we can Yes, yes I will assign the course. Okay, perfect. So, okay, just to repeat for the benefit of the recording. 00:00:13.000 --> 00:00:26.000 Welcome to the second day of the LP workshop, we will be talking about new LP search results and predictions that the IDC, we have three talks in this session before a coffee break and we'll start with Victoria talking about the Atlas displace to get 00:00:26.000 --> 00:00:28.000 the answers so we can see your slides. 00:00:28.000 --> 00:00:33.000 And go ahead, you're ready and we'll let you know that. 00:00:33.000 --> 00:00:34.000 OK, thanks. 00:00:34.000 --> 00:00:52.000 OK, so again just Victoria from the converse with him, and will present that for run to a results. So, okay, I desert. A looks for persecuted long leaves correct that the Ka hedonic chronically, either in the hundred meter or we also have some sensitivity, 00:00:52.000 --> 00:00:55.000 with him in the outer edge of the electronic perimeter. 00:00:55.000 --> 00:00:59.000 We use us benchmark even sector models you can see other. 00:00:59.000 --> 00:01:16.000 And in these models, the hidden sector in this animal that are connected by a motion, which then the case to appear so long big scholars. All of these kids like the particles are new standard the Standard Model, so they are only detected when they take 00:01:16.000 --> 00:01:34.000 And in this case six were considering lay the case of this color, a both a famous from this current DKI reconstructed a syndicates, and therefore the search uses base it looks for to get that we call coverage for the jets that narrow, because the showers 00:01:34.000 --> 00:01:47.000 has laid a checklist because they had neutral particles within spec sheets in the sector. And then we require that the majority of any of the energy of these debts, you seem to have any color emitter in for these redefined the collaboration, which is 00:01:47.000 --> 00:02:03.000 ratio of energy, deposited in the perimeter over energy in the Econ, and we recorded that this is high for this. So, the main backgrounds, we have our standard will move to get a that is the main background. 00:02:03.000 --> 00:02:10.000 Though this process has an ability to mimic signal, a but it has a very high growth section so it's aluminum background. 00:02:10.000 --> 00:02:20.000 Then secondly we have given us background, which are immune to produce from the interactions of the protons of the bunch a interacting with the beam pipe or even some focusing elements. 00:02:20.000 --> 00:02:30.000 And when these when these can be installed parallel to the beam, and when they go through the detector. In, for example, every meter. They might underground struggle in our reconstructed as displeased it. 00:02:30.000 --> 00:02:40.000 And finally we have course makes a which actually are the lowest rate then they have a negligible contribution to the shirts. So you will see that we don't have an explicit selection to remove these. 00:02:40.000 --> 00:02:48.000 Also we we use machine learning to identify single events in the background system at UC now qualify the VC the method. 00:02:48.000 --> 00:03:01.000 So, here you can see an overview of the analysis. As you see a we started with to a dedicated signature to the signature driven triggers which are the countries that triggers, you have to have them. 00:03:01.000 --> 00:03:12.000 After sample selection we apply these machine learning tools that I mentioned, first we start with a project neon it classify states as standard more than multi million use background or signal. 00:03:12.000 --> 00:03:20.000 In the second step is have availability, that uses the output of these Neo network and some even level variables to classify events, similar backgrounds. 00:03:20.000 --> 00:03:33.000 I want to emphasize that for both the training of these machine learning tools, and from the final selection criteria. We have two selections, which are optimized for the following the signals which you can see here the different ranges of masses, these 00:03:33.000 --> 00:03:38.000 covers and the hi fi signals. 00:03:38.000 --> 00:03:41.000 And we're now we go through each of the steps of these analysis. 00:03:41.000 --> 00:03:52.000 So, first, the commercial triggers, these are a will, this is yes I don't do any identify narrow chocolate chips, which have a high calorie ratio. 00:03:52.000 --> 00:04:10.000 And we have two types in different that different are different in the level one item in First we have the height the trigger a for which we have, we first have the dough 60 which applies at 60 DV first one is was the lowest temperature scale trigger 00:04:10.000 --> 00:04:26.000 was also active during part of the hundred 17 2018. A but a for those two years they last year was the top 100. So what we do is apply and all of these two triggers. In the second today is the loyalty which applies a lower energy threshold but requires 00:04:26.000 --> 00:04:30.000 that they did this isolated from equal deposits. 00:04:30.000 --> 00:04:44.000 And this trigger was introduced in 2016, in other time was only efficient for lower the samples, but after some modifications in 2018, he became very efficient for all signal samples in, I can see these in the blood on the left. 00:04:44.000 --> 00:04:54.000 If you compare the open and field squares. You can see how the efficiency of the loyalty theater has changed between these two versions, a for high the samples. 00:04:54.000 --> 00:05:04.000 So with all of these modifications in these version of the analysis, what we do is to apply a logical all of these triggers, regardless of this election that we were targeting. 00:05:04.000 --> 00:05:08.000 On the right you can see an esteemed colleague, ratio, did it correctly. 00:05:08.000 --> 00:05:22.000 So you can raise your trigger looks like. And as you can see we have two versions for so based on the 20, we have the nominal trigger that runs all of this election. And then we have annoyed when a more inclusive to that they know I saw today, that is 00:05:22.000 --> 00:05:37.000 collect the Big Data sample, that doesn't run a baby boomer algorithm. And we use a combination of the nominal and the nicer trigger to the to target. And finally, just to mention that we have also another version of the trigger that funds in the empty ones crossings for collection 00:05:37.000 --> 00:05:40.000 of academic status it. 00:05:40.000 --> 00:05:41.000 Okay. 00:05:41.000 --> 00:05:57.000 Then the second element and this is quite a note for this version is that this project neon network that is trained on a project basis in order to identify these projects in signal from standard model like or, like, it's the input variables that we use 00:05:57.000 --> 00:06:11.000 low level features, including inner detector tracks perimeter energy deposits and music segments that are matched to the debt we are, we're considering. And as the output we have three near network scores that predictively if the data is produced by an NBA 00:06:11.000 --> 00:06:29.000 pa Multijet compete. On the right you can see a signal score for example for the two trainings in a for the training of these neural network we use three samples, a first one in a signal we use the Monte Carlo simulation of signal and we use the dates 00:06:29.000 --> 00:06:33.000 associated with lonely particle that the case in the calorie meter. 00:06:33.000 --> 00:06:49.000 Secondly, we have a Monte Carlo simulation of what the movie yet. And the final sample is a beep a data sample collective with the trigger I mentioned before. In 40s we use the digits identified as the bad people. 00:06:49.000 --> 00:06:53.000 Okay. Here you can see how the neonatal looks like. 00:06:53.000 --> 00:07:07.000 And as you can see it has two parts. First we have the mania network which is a combination of one the components and layers in long short term memory neural networks, which then are concatenate it, and we have a the output of screen, your neighbors course 00:07:07.000 --> 00:07:22.000 that we use later in the analysis of where we found a only using the mania network at the beginning, is that they were the Monte Carlo differences in the output into the spring that we have someone to Carlos on person, a data samples in the training and 00:07:22.000 --> 00:07:35.000 the reason was mainly that we have some modeling issues in some Bibles, a for example the cluster timing. And if you look on the left on the right, top, you can see that a way taking our control region in the the worst mismatch. 00:07:35.000 --> 00:07:46.000 So what we need to improve this was the fix this was two other another Oceania network during training, a to the output of them in your network, and was trained a use another did control region in the ideas that he tried to say bye de de Monte Carlo yet 00:07:46.000 --> 00:08:02.000 In ideas that he tried to say by data Monte Carlo jets in this control region. And during training, the, the performance of this network was fed back to the mania network sets that in the optimization, a limitation included this information, such that 00:08:02.000 --> 00:08:06.000 if there were no differences in the time of the catalog. 00:08:06.000 --> 00:08:22.000 In these are in, in our technique in Atlassian you can see that that in diversity indeed in this country region, they. The performance is much better look in the book below the following element is separate ability, which uses as input information from 00:08:22.000 --> 00:08:30.000 the gets amplified by these neural network, as most senior like or more be like, and also some even level information. 00:08:30.000 --> 00:08:42.000 This abt was doing a with see a combination of signal samples against the data in the main objective was to discriminate from the cover these be the the sample contains the standard moment yet events as well. 00:08:42.000 --> 00:08:58.000 And what he's found is that this video space communicates signal from audience background, as well as from the NSA indicated the hearing the deadlines how a different regions of the ability, identify with like data Multijet like gets in, in signal dates. 00:08:58.000 --> 00:09:07.000 So, then we move to Evan cleaning up and selection, a what we require is that we want to apply the reasoning methods so we wanted to have to integrate the violence. 00:09:07.000 --> 00:09:18.000 And for these we wanted to win, basically having multiple background sources making these correlations. So what we wanted to have is only one payback on population in the final selection, which was completed. 00:09:18.000 --> 00:09:34.000 And for these two they're matching cuts and dependability score and some further cleaning cuts were applied rejected and other spirits events, and here listed the final selections but in backup you can see the full list of their selections. 00:09:34.000 --> 00:09:48.000 So, after these we apply the background estimation, as I mentioned we apply the likelihood based in within your CV see the method. So, as much as most of you know, a the VC method prefers to integrate these variables to the back of the plane into four 00:09:48.000 --> 00:10:03.000 regions sets that in the back of background only hypotheses, a background events in the signal region A can be estimated with the number of background events in regions be cnd, but we use a modified version that if it is similar time usually background 00:10:03.000 --> 00:10:11.000 and signal models, and the second for single contamination in regions, B, C and D, which is, look, if you look at the plug on the right we have some of it. 00:10:11.000 --> 00:10:28.000 And in our case we defined the VC be blamed by the ABC abc news abc has course, and also these viable that we always find very useful which is there some of them are between the signal the candidate and it's near stuck with the Guardian until we find 00:10:28.000 --> 00:10:39.000 a very small correlation in data. So, this is before we can work. This is particularly how to do a but we will need some further tests to verify that beep. 00:10:39.000 --> 00:10:52.000 In cosmetics were not present in the VC the plane and will not spoil the methods. So for being a what we did was to, to take a the data sample collected by these triggers. 00:10:52.000 --> 00:10:54.000 Okay, thanks. 00:10:54.000 --> 00:10:58.000 And okay what we found is that the the height election, there was no beating regionally. 00:10:58.000 --> 00:11:12.000 And so that was fine and for the loyalty selection one event was found in Region a, but it was taped is that all events in a VC plane, a look is Thunder more than most idiots like in CS we know we have these contributions in the, in the Big Data sample 00:11:12.000 --> 00:11:27.000 that was fine. For course mix what was done was to use the data, a connected by these empty bunch crossings commercial today, and estimate the the contribution of ABC, of course mixing the ABC playing for the main selection. 00:11:27.000 --> 00:11:33.000 And for these a we took a we calculated two factors to do this conversion. 00:11:33.000 --> 00:11:46.000 And first one was the fact that in the delay factor that takes into account as we have less. 00:11:46.000 --> 00:12:00.000 Right I'm listening to someone speak. Okay, so we have listened demands crossings and filaments crossings, in the second factor. It took into account that implements Christians are much cleaner environment, Coalition's, and we sort of these into taking 00:12:00.000 --> 00:12:14.000 And we thought of these into taking all of these into account. We found a few events in Brittany, in, in, in the events in the city playing a where we can do statistical certainty, so we could confirm that can cause mixed are not likely to interfere with 00:12:14.000 --> 00:12:16.000 the functioning of the ABC limited. 00:12:16.000 --> 00:12:21.000 So after all of these projects we analyze the data from. 00:12:21.000 --> 00:12:35.000 It will also run through the data, and see if utterly no significant access was found in upper limits were calculated. And what we find is that the limits improve our own a factor of 10. 00:12:35.000 --> 00:12:37.000 2016 data. 00:12:37.000 --> 00:12:50.000 For the latest election, and I run a factor three for the highest election. They, the reason of these improvement is mainly the higher statistics, but also the biggest improvements and the beta displays identification. 00:12:50.000 --> 00:13:03.000 And this especially for the case for the low with the samples. I indicated here in the plot on the left, a how indeed the limits have improved. A for one of the samples they were using the emulator, as the Higgs. 00:13:03.000 --> 00:13:11.000 The Higgs boson. And you can see on the right they have somebody you have all of the limits that we get a full day Hicks mediator and different color message. 00:13:11.000 --> 00:13:22.000 In the next night, I show a summary of other limits that we did a week different a mini a mini the Masters in for higher lower melodramatic. 00:13:22.000 --> 00:13:25.000 And when you have them. 00:13:25.000 --> 00:13:38.000 And then okay in also a, there are other searches looking for luminous particles as you may know, in Atlanta, looking for the same model, and recently some nice summary notes were done is making of this work. 00:13:38.000 --> 00:13:48.000 And indeed We can see that our results extended the limits in the intermediate range between a displacement, this isn't the ID and music the meter, these these practices. 00:13:48.000 --> 00:13:55.000 You can see your shoulder leave a further muscles if somebody blocks further masters in this link. 00:13:55.000 --> 00:14:06.000 And finally, we in for these version we included efficiency maps that could be used for interpretation. So, this complex to have to understand we have some more information in backup. 00:14:06.000 --> 00:14:23.000 But the idea is that a here, a the region efficiency is calculated is separated by a by by a little piece in okay in the being is calculated, a take into account the LT kinematics, the key position indicate type. 00:14:23.000 --> 00:14:35.000 So, more information on these on backup and ideas, this can be used for interpretation, and for during the accuracy of these maps for the height this lecture we see that for all efficiencies around 0.5 person. 00:14:35.000 --> 00:14:47.000 This was accurate on 25%. And for the loyalty selection, a formula efficiencies around 24 as your point 15 results migrate to 33%. 00:14:47.000 --> 00:14:58.000 So, yeah, that's so basically we will perform these 412, a analysis so a looking for a place of noodle lonely particles they came in the color me to understand if you can't access is found was respected at that even background prediction. 00:14:58.000 --> 00:15:12.000 Listen, if you can't access is found with respect to the that even background prediction. And so we calculate the limit in the improve with respect to the previous round of the analysis. 00:15:12.000 --> 00:15:21.000 So, yeah, I think that's it from my side, I think, thank you very much Victoria, really nice talk. 00:15:21.000 --> 00:15:29.000 So, I think we have time for a few questions and I open the floor to discussion. 00:15:29.000 --> 00:15:33.000 There is one hand up from Larry Please go ahead. 00:15:33.000 --> 00:15:42.000 Hi, Thanks so much for the last talked. 00:15:42.000 --> 00:16:02.000 If you could say a bit more about which bit effects actually affect the, the signal region. And in particular, the the trigger that you're using for for collecting a big sample like there are a lot of different kinds of bid is that sample from the trigger 00:16:02.000 --> 00:16:09.000 representative of the kind of effects that show up in the signal region if you just say a bit more about that. 00:16:09.000 --> 00:16:20.000 Okay okay i'm not right. Okay, I don't know if I'm going to be able to answer properly. In, what can you repeat that was no the trigger because I didn't fully understand. 00:16:20.000 --> 00:16:39.000 I guess I see you have some control sample taken with this dedicated. 00:16:39.000 --> 00:16:49.000 effects that kick in. How do you ensure that that's representative of what shows up in the signal region especially by the time you throw this all into a neural net. 00:16:49.000 --> 00:16:52.000 Okay, I'm sure. 00:16:52.000 --> 00:16:55.000 So I'm 00:16:55.000 --> 00:17:14.000 yeah I'm not sure if I know how am I had your hand that I guess I guess a ticket because we need. Yeah, we need to make sure that this is the case, and indeed they are really really similar to the main difference between the sample we collect with the 00:17:14.000 --> 00:17:24.000 trigger and what we actually have in the nominal trigger is the timing. So in the trigger we only select babe, with negative timing. And that's most of it. 00:17:24.000 --> 00:17:27.000 And so we get a big sample. 00:17:27.000 --> 00:17:46.000 So large statistics that we can use in the training. Then, the ones we collect and the nominal trigger mostly be with positive timing and of course we cannot protect those us at the trigger level just a timing cut and yeah but but this aside from timing, 00:17:46.000 --> 00:17:56.000 the rest of characteristics are really really similar so basically the same is just, they arrived at different times of the detector. 00:17:56.000 --> 00:18:00.000 Is that because of the different. 00:18:00.000 --> 00:18:05.000 They know just they come in different bands crossings. Oh, I see. 00:18:05.000 --> 00:18:08.000 Okay, thank you. Thanks. 00:18:08.000 --> 00:18:12.000 Thank you. we have time for the question from product as well. 00:18:12.000 --> 00:18:19.000 So I had a question regarding this part even PDT, so I was just wondering wondering that. 00:18:19.000 --> 00:18:25.000 What kind of per event information will use in this event, immediately. 00:18:25.000 --> 00:18:39.000 Okay, I got the listing backup. I'm so sorry. In, okay so one part is the so information from the dead so i got i forgot the least. 00:18:39.000 --> 00:18:46.000 The I guess the ether, or, sorry I guess I'm not gonna play with it because I completely forgot the least. 00:18:46.000 --> 00:19:00.000 But, yeah, so there's two types of information we are the first type would be the outputs of the possibility so we include both the output of the possibility, so discourse. 00:19:00.000 --> 00:19:09.000 So, the neural network or the to two deaths that are most likely to be researched it. 00:19:09.000 --> 00:19:31.000 And then we have like topology information like the separation Nita or the angler supply separation between these two texts or things like the total energy of the event or using it to where it's there's one the other viable for you. 00:19:31.000 --> 00:19:35.000 Okay, okay, okay. Thank you. 00:19:35.000 --> 00:19:46.000 Thank you. So I guess we'll move on but I just wanted to make one one final remark about these efficiency maps, And so I think it was gonna penultimate slide. 00:19:46.000 --> 00:20:03.000 And the. So this is okay, as a full disclosure, I was part of this, this particular team but I just wanted to highlight that this is a nice thing to add in particular, since the last workshops we've had a lot of focus on reinterpretation of NLP results. 00:20:03.000 --> 00:20:20.000 This is paradise and as a function of both LPs PT, the key position eater and decay types so depending what kind of cork, or electronic the case to the information will be on health data and the formula basically to calculate we've been indexed from those 00:20:20.000 --> 00:20:33.000 true total quantities will be available but the really nice thing is you can see that these maps are pretty accurate within kind of 25% in the efficiency, but using only truthful information, which is hopefully going to be a nice shortcut to be able to 00:20:33.000 --> 00:20:36.000 use this so theorists feedback is very welcome. 00:20:36.000 --> 00:20:53.000 Okay, I was just meeting opposition to that thank you again very much Victoria for this very nice talk. And I think we can move on to the second talk which will be about, and that you see be future dog sector sensitivity predictions from 00:20:53.000 --> 00:20:57.000 from Michael Williams. so what can see connected. 00:20:57.000 --> 00:21:02.000 Can you hear me. We can hear you. If you can show your 00:21:02.000 --> 00:21:06.000 line this up here. Okay, perfect. 00:21:06.000 --> 00:21:09.000 Yes, we can see your slides. Yep, full screen. 00:21:09.000 --> 00:21:14.000 So you have 12 minutes for this talk, and we'll let you know when there's five minutes left. 00:21:14.000 --> 00:21:15.000 Please go ahead. 00:21:15.000 --> 00:21:19.000 Alright, so I'm just bringing up the chat and things just in case. 00:21:19.000 --> 00:21:25.000 Alright, this should be quick. I was actually asked to give this talk, dealing with some updated. 00:21:25.000 --> 00:21:31.000 Dark Sector projections that we did as part of the Snowmass process. 00:21:31.000 --> 00:21:35.000 So, starting with the dark photon. 00:21:35.000 --> 00:21:49.000 So when we're talking about dark photons at HTTP we're talking about the minimal model, so not where there's a large coupling to the Higgs, but where the connection between the Dark Sector and the ordinary matter is by a kinetic mixing between the dark 00:21:49.000 --> 00:21:52.000 photon and the ordinary photon. 00:21:52.000 --> 00:22:00.000 This model is it is always represented in this two dimensional plane of the mass of the dark photon, and the coupling strength. 00:22:00.000 --> 00:22:10.000 The dark gray or the existing limits, other than no HDB and the yellow. Here is the CV results from run to. 00:22:10.000 --> 00:22:17.000 And so so far like CP is only produced results with data from the debut on final state. 00:22:17.000 --> 00:22:32.000 These are completely consistent with predictions that myself Jesse Taylor, Phil Elton at all did a number of years ago before that motivated this search and and as part of that work we actually predicted the sensitivity and run three and then pretty much 00:22:32.000 --> 00:22:34.000 for all future runs. 00:22:34.000 --> 00:22:44.000 And so by the time you on threshold we didn't have to do any updates here since the predictions seem to match with the data. So we just expect that this will come to fruition. 00:22:44.000 --> 00:22:48.000 However, in the lower master below the debut on threshold. 00:22:48.000 --> 00:22:58.000 In run to LHCB did not actually have a electron ID in, in the first software trigger stage, there was no collimator reconstruction, time for that. 00:22:58.000 --> 00:23:03.000 And the original plans for the run three trigger also did not have that and so. 00:23:03.000 --> 00:23:14.000 Originally we had come up with a way of looking for dark photons that involve using radiative charm the case and the idea there was essentially to use the charm part of the decay to get through the first couple trigger stages and then eventually when 00:23:14.000 --> 00:23:19.000 you get to having the full reconstruction you can look for the dog photon. 00:23:19.000 --> 00:23:34.000 However, in 2018 we actually managed to upgrade the trigger to be able to just directly look for dark photon D plus c minus, and then run three. We also have now the full Kalorama reconstruction from from the in the first stage onward. 00:23:34.000 --> 00:23:38.000 So there's no real reason to do the relative charm approach. 00:23:38.000 --> 00:23:43.000 Of course, any dark photons produced and ready to shine would also be picked up by an inclusive search. 00:23:43.000 --> 00:23:59.000 But many many more that would be produced in say pion decays would also be available and so we've updated the sensitivity to account for that major change in the trigger and so now when you take a union of the dialect con and the new on you get this large 00:23:59.000 --> 00:24:06.000 large region here, that's covered that should be covered in the next run. 00:24:06.000 --> 00:24:20.000 Essentially this this this lower edge years more or less just set by the size of the vertex detector these, these searches assume that we do what we've done so far, which is only use the case that happened within the vertex detector. 00:24:20.000 --> 00:24:28.000 If you went beyond that maybe you could do better and there's talk about that we haven't studied that in detail, yet. 00:24:28.000 --> 00:24:38.000 Okay, so that's the update on the dark photon Higgs portal so this is another place where it leads to be his world leading limits so these are in grey. 00:24:38.000 --> 00:24:52.000 A here so we updated these it for a few things so one of the ICP results are actually from run one data. And at this point, the first paper was now seven years old and there was a second paper using slightly different decay which is six years old. 00:24:52.000 --> 00:25:02.000 They were using a slightly older model for the scalar hadron coupling. This is a non conservative QCD regime so it's tricky. 00:25:02.000 --> 00:25:04.000 More. 00:25:04.000 --> 00:25:11.000 So I'll pretty much all newer predictions Codex be all these long and part of what it teaches us a newer model. 00:25:11.000 --> 00:25:14.000 So what we did first is we actually just updated. 00:25:14.000 --> 00:25:22.000 The old the LA CV results to use that new model so everything's available in the public in the public data that you can actually do that. 00:25:22.000 --> 00:25:33.000 So we did that and now, that's what this gray is here so these gray regions are just updated to use the same scalar had on model that everyone's using these days. 00:25:33.000 --> 00:25:50.000 And then we also updated predictions for the neuron decay, which is what the results are based on the naive job that was done in some other places that are mostly shown for projections, just took the results from run one and just sort of scale them by 00:25:50.000 --> 00:25:58.000 some luminosity based factor, but in fact the TV limits are are strongly dependent on a lifetime. 00:25:58.000 --> 00:26:06.000 And so you can see that we did a wonderful job of this and there's not a constant scale factor, you actually do a lot better higher mass than you do it lower mass. 00:26:06.000 --> 00:26:16.000 And this is because at higher masses in the run one data you're actually proving the prompt regime. So at some point you start probing long the case and there's less background so you do better there. 00:26:16.000 --> 00:26:21.000 We also added into this an estimate of what you could get by considering had chronic. 00:26:21.000 --> 00:26:24.000 The case so plus y minus and k plus k minus. 00:26:24.000 --> 00:26:39.000 And so at lower masses, it seems that you can, you can actually do better, just because the branching fraction of a dark Higgs into those final states is close to one compared to the rather small brand new fraction into the demo on a final state so this 00:26:39.000 --> 00:26:43.000 is something that you can easily explore. 00:26:43.000 --> 00:26:55.000 And, you know, so that that's something we'll see how that how that plays out but looks like you can do substantially better low mass, but just like in the dark futon case ultimately you're limited by the lifetime acceptance of the text detectors since 00:26:55.000 --> 00:26:58.000 again we assume that you decay there. 00:26:58.000 --> 00:27:15.000 Finally we also produce the first projections for ACCION like particles that coupled predominantly to glue ons. So we've never LSD is not done a search here and this was a there was a paper that myself and you Tom, Daniel wrote several years ago where 00:27:15.000 --> 00:27:23.000 we actually worked out how these things decay, and they decay into very terrible things like you know pi pi and pipeline gamma. 00:27:23.000 --> 00:27:39.000 And so there was no searches done for this but we were able to estimate roughly what else we can do these are credibly conservative estimates. So, the backgrounds are coming from some run one one inverse femto barn. 00:27:39.000 --> 00:27:54.000 Study of EDA prime decays. So we're scaling up the backgrounds by a factor of three orders of magnitude. So they end up but rather absurd level something like a million background events from Aspen and run six, which I'm sure won't happen. 00:27:54.000 --> 00:28:00.000 It must be possible to do better. But anyway, you get conservative estimates that way. 00:28:00.000 --> 00:28:03.000 We also are using a rather. 00:28:03.000 --> 00:28:17.000 I guess conservative way of dealing with the unknown UV physics so in the, in the ACCION case you have this parametric Lee log term that goes like some scale that you don't know, we just set that to one which is what we've done in our other papers that 00:28:17.000 --> 00:28:30.000 that corresponds to a quite conservative thing because if you even just put in one TV or something like that, you would get a bigger, bigger number but we generally just set that to one thing that we don't really know what it is. 00:28:30.000 --> 00:28:43.000 So in any event, we predict here that others to be can do very, very well probably in reality, maybe a factor of two or three better if the backgrounds are handled in some sort of proper way. 00:28:43.000 --> 00:28:45.000 But clearly this is worth doing. 00:28:45.000 --> 00:28:56.000 Alright so that's, that's my summary so this was just a short update of the sensitivity so dark photons we can cover more area now because we actually have the ability to do inclusive the plus and minus. 00:28:56.000 --> 00:29:01.000 This was just something not something that at least we really needed before but now we've worked to get it in there. 00:29:01.000 --> 00:29:14.000 The Higgs Porto again we updated for more modern scalar hedonic coupling added some projections for hedonic the case and produced first projections for the ACCION like particles coupled to glue ons, and that's it. 00:29:14.000 --> 00:29:19.000 I'll take any questions. Thanks. 00:29:19.000 --> 00:29:21.000 Brilliant thank you for this pretty nice. 00:29:21.000 --> 00:29:31.000 Talk about these, these predictions which are very, very exciting I think. So let's open the floor for questions we have one from Fidel, please go ahead. 00:29:31.000 --> 00:29:32.000 Yes. 00:29:32.000 --> 00:29:53.000 Hi. Sorry I didn't have the chance to ask you this question before but can you elaborate a bit more on the dialect or finer states in the specifically, what do you expect would be the challenges for line three, and then later on for for for how you me. 00:29:53.000 --> 00:29:58.000 But, essentially, it seems okay there has been this trigger breakthrough which is impressive. 00:29:58.000 --> 00:30:06.000 How do you what do you think is left as a preparatory work or what has to be done. 00:30:06.000 --> 00:30:22.000 Uh, yeah so I think there's a few things. So, one thing that we're working on now so the fact that we can we can reconstruct and identify plus c minus inclusively at 40 megahertz is great, except that the Standard Model gamma star is for the prompt case 00:30:22.000 --> 00:30:27.000 the center model gamma 30 plus c minus rays basically infinity. 00:30:27.000 --> 00:30:32.000 So what we're working on. We can't just keep all of those, even though we know what we have. 00:30:32.000 --> 00:30:40.000 So what we're actually working on is just filling monitoring histograms, with the plus and minus mass for the prompt case. 00:30:40.000 --> 00:30:45.000 This way we don't actually care what the rate is. So this this would be really like. 00:30:45.000 --> 00:30:50.000 As far as I know, the first analysis ever done out of monitoring histograms but it looks like it'll work. 00:30:50.000 --> 00:30:52.000 So that's one. 00:30:52.000 --> 00:31:02.000 And then we. So one of the things we had to work really hard on in the in run to is to actually do a data driven material map of the vertex detector. 00:31:02.000 --> 00:31:09.000 And so the vertex detector has been completely upgraded and replaced and run three so that'll that'll something we have to actually redo. 00:31:09.000 --> 00:31:22.000 So I have to go redo the data driven maps is just uses material interactions and protecting to figure out, you know, you look at where the vertices are and use that to figure out where the material is in reality will have to redo that. 00:31:22.000 --> 00:31:38.000 And then in the run to data and run through data we still have to really completely validate the material vetoing for the E plus c minus, you know electrons are messy, but we're working on that now I mean, I don't think it's going to cause any problems 00:31:38.000 --> 00:31:45.000 but it's not like, you know, you just do exactly what you did with new ones and expect it's going to work perfectly. 00:31:45.000 --> 00:31:49.000 And he wasn't related VAD. 00:31:49.000 --> 00:32:05.000 I'm sure I mean, obviously, the better you can do your electronic ID in the first trigger stage, then you'll, you'll do better, to some extent, although you know the gamma starting e plus c minus rate is so absurd that there's a floor there right so even 00:32:05.000 --> 00:32:08.000 with sort of crude PhD. 00:32:08.000 --> 00:32:26.000 You You're, you're tending to have a pretty high fraction of actually plus a minus there. So, Yeah, certainly we're looking at improved electron ID, and anything we get I will definitely use, but you know there's a there's a floor there which is just 00:32:26.000 --> 00:32:37.000 Everything is E plus c minus at some point. And I think that that's it's not orders of magnitude below just using really basic crude electron it. 00:32:37.000 --> 00:32:40.000 Okay, thanks. 00:32:40.000 --> 00:32:45.000 Okay, I think we have time. So first question, please go ahead. 00:32:45.000 --> 00:32:48.000 Yeah Hi Mike, thank you for your talk. 00:32:48.000 --> 00:32:57.000 Um, I have a question about the production for the darks Kayla and for Dr. Spock production channels to include. 00:32:57.000 --> 00:33:07.000 Yeah. So these are just assuming that use the same penguin decays that were used in the published Higgs get the portal the scalar portal search. 00:33:07.000 --> 00:33:16.000 So in the in the published result from run one it's been to kx and vt k star x, so use those two. 00:33:16.000 --> 00:33:28.000 And so for this for these projections for simplicity we just assume that used exactly the same iterate might even be higher right bank routing chaos, for example, 00:33:28.000 --> 00:33:40.000 well so yeah so well, including other chart like cans are tough for us because they don't decay very often inside the vertex tender. 00:33:40.000 --> 00:33:55.000 Typically, but I mean certainly the, the inclusive penguin decay rate for bees is like a factor of three or five higher than just these two particular decays okay so you assume basically that you dominated by TD case. 00:33:55.000 --> 00:34:08.000 Yeah, yeah i think that's that's a good assumption, at least for this for this mass range. Yeah, I mean under lock screen you probably won't see that much but one more reason so this is more of a comment than a question. 00:34:08.000 --> 00:34:15.000 So since you talked about that locks thing in loop and use like production from from s on the case. 00:34:15.000 --> 00:34:28.000 This the locks have been resolved so better results basically better theory predictions are available now and it's mostly been done by a group around parties Norbert and Martin bond unclear tongue. 00:34:28.000 --> 00:34:47.000 So, so it might be worth checking with them and using this updated better predictions then putting an arbitrary scale into the lock. Again, it's not, it won't make America difference but just for keeping up with the theoretical development I would suggest 00:34:47.000 --> 00:34:58.000 just to do that. Yeah, I mean so in the actual in this actual Snowmass white paper we we say in the beginning like we're doing this you know there's other stuff out there. 00:34:58.000 --> 00:35:07.000 I was kind of hoping that maybe some attempt of like in the Snowmass of trying to have some kind of consistency. 00:35:07.000 --> 00:35:13.000 Because then you know like it moves, it moves the results around by by a factor of two or three I think when you, when you go between these different choices. 00:35:13.000 --> 00:35:27.000 Maybe you know it'd be nice if everyone was using the same choice because then you're, you're getting a fair comparison of the experiments, but the most precise prediction I would suggest and it's not hard to obtain you just need to run the couplings 00:35:27.000 --> 00:35:39.000 whatever high scale you choose. And if there's an agreement to set that say 10, TV, then it's unambiguous what you get out and just use in America resigned as a prediction. 00:35:39.000 --> 00:35:51.000 Yeah I'm aware of these it doesn't seem to be any consistency so I was kind of hoping there'd be consistency and then we go back and update, because they figured the odds that we would use the same thing as everyone else, given that you do have to make 00:35:51.000 --> 00:35:52.000 a choice. 00:35:52.000 --> 00:36:03.000 I mean, in the end you can always be scale Islamia doing single couplings cans and you don't use multiple couplings and in a certain model, then you could reschedule the rate. 00:36:03.000 --> 00:36:06.000 If you have to correct result. 00:36:06.000 --> 00:36:16.000 Yeah, okay. I also don't want to get this to lengthier, so I would be some disagreement of like this is what we do and then we will do it. 00:36:16.000 --> 00:36:24.000 Like I would definitely like that and and I mean I'm familiar with these papers, you're talking about so I mean I'm happy with. 00:36:24.000 --> 00:36:40.000 If there's some agreement on picking a scale and going with it so far that doesn't hinder me in case so mismatched things but it looks like about a factor of two or three is what it does to the like in the, in the outcase especially around roughly by 00:36:40.000 --> 00:36:44.000 that depending on which of the choices you make. 00:36:44.000 --> 00:36:49.000 That's good to know. And very nice experimental progress. So that's really nice to see. 00:36:49.000 --> 00:36:51.000 Thanks. 00:36:51.000 --> 00:37:03.000 Excellent, thank you everyone for the discussion. I think can now probably move to the last talk of the session, which is from Alexander on the recent Atlas display stock photon jets result. 00:37:03.000 --> 00:37:08.000 And of course the discussion can continue on that most. 00:37:08.000 --> 00:37:18.000 Yeah. Can you hear me. Can you see notice it in full screen. Perfect we see the slides and we hear you Beth came on so thank you very much so. 00:37:18.000 --> 00:37:27.000 Also thank you for giving me the opportunity to present, Er the results from the search for lifelong particles produced. 00:37:27.000 --> 00:37:42.000 13 TV, you get into pairs of laptops with a type of setup, he without loss of actor also more simply known as this place the phone Jeff and I just started a bit of an introduction so in general we have many Eb assumption edition which we have covered 00:37:42.000 --> 00:37:48.000 with look up to the standard model, and in particular will be interesting to hear some feedback for them from export all the game. 00:37:48.000 --> 00:38:04.000 Then, through vector portal to leptons or, or right other answer. And in this scenario, we are discovering parameter business Armada in the sector the specter Portakabin, which is the right for the that far less lifetime and in particular is more complex 00:38:04.000 --> 00:38:12.000 means that we have this non eligible left hand for them. And if they are full of mercy significantly lower than the Xmas then we have also implemented the game. 00:38:12.000 --> 00:38:23.000 So this means we have light on the southern feet, even grassroots calling me that that have left on so that we should have asked to us that full on jets and also show on the upper part of the slide. 00:38:23.000 --> 00:38:39.000 A to the to our our benchmark senior model sets or the on the one on left side is suffer busy either in ballet model which is a bit more reference for most of the, the one that is being interpreted in the past version of the searcher YDHM that are we 00:38:39.000 --> 00:38:40.000 have now, Todd that there's an interpretation for the foreign to win it. 00:38:40.000 --> 00:38:55.000 now thought that there's an interpretation for different to what it is. And in the lower block also showing where the Atlas retreat is it stands in the bathtub portal limits as Come on Jetson Allah so Allah we take all that. 00:38:55.000 --> 00:39:08.000 So after that for the news they came to me on so we search for our climate and you're wondering the new aspects that we do not matching Jetta tracks in the ID, and these are caused by in our search for enough fix that are calm, and they in this case the 00:39:08.000 --> 00:39:26.000 main background is cosmic renewals YT the phones they came to electron sorta or left box for example we then search for our last manufacturing jets in dh car without a citrusy need in the, in the ID, and also showing on the upper at Parker. 00:39:26.000 --> 00:39:40.000 White is also important to take on both dedicated to electrons fermion says this keeps you busy led our way to take on different muscle and just off the that father for which for example me on the case i'm not available at very low masses. 00:39:40.000 --> 00:40:00.000 And as for the reverse direction, just as we reflect in the outer reflection and fancy for some of our benchmark signal scenarios for for for me DPJ we are able to tackle stocks and up to the mill spectrometer middle layer wide for DCDPJ, which is the 00:40:00.000 --> 00:40:07.000 deficiency put on the right side, we are able to have a socket in the HR volume so we'll turn different different Alex why reach for to DJ types. 00:40:07.000 --> 00:40:25.000 Reach foot to the PJ types. As for the three year for the first time in different tonality Sir, we are not only investigating the normal on fusion x production but we also added the investigation of EC the production of expose on with a W bosom. 00:40:25.000 --> 00:40:39.000 And therefore, we then target two different, we have two different to the strategist for GGF or we have to use Sunday together that will be three years in particular for a minute BJ will use this narrows country years, which are based on ms information, 00:40:39.000 --> 00:41:03.000 and we should have on your level one, plus then come on the a level three or four seven you're not that are con with what we're immune survive not to be matched to any tracking the ID, and wait for the CPG, we use the scholarship three years which you 00:41:03.000 --> 00:41:11.000 And for this we are searching for the slow Atlantic flash long and narrow Jetson India Chicago, people need you to access well. 00:41:11.000 --> 00:41:26.000 And on the other hand for wh news the fact that we can trigger from the electronic the case of W boson so in this case we didn't think that amounted to a more standard, and with higher efficiency during your with single the electronic cigarette. 00:41:26.000 --> 00:41:33.000 And that's for a bit of an overview of the analysis strategies. As already mentioned we have these two different categories. 00:41:33.000 --> 00:41:46.000 Due to the fact that we are both, Jeff, and the who, with. 00:41:46.000 --> 00:41:57.000 And then we have a wpj type a number selection involvement specific cuts on the constituency which leads us to have six of our channels or GFT from who. 00:41:57.000 --> 00:42:04.000 So for who we have the channel will love to follow it came to me on so we have opportunity PJ channel. 00:42:04.000 --> 00:42:15.000 Fully CDP JSON to CD PJ channel and also channel where we have on the UK somewhere wonderful needs to get into me and and others to interact on satellite other and so while for the blades, the policies on the case involving city producing this is the 00:42:15.000 --> 00:42:24.000 While for the blue HD policies on the case involving CD producing this is the case in which we are really competitive with Jeff and we can benefit also from the combination of these two. 00:42:24.000 --> 00:42:37.000 And so we are to CPG and new CD producing value as the one we have for GFOR. We also have an exclusive wants you to create a shot and to strengthen you and more the limits on the CPG two days. 00:42:37.000 --> 00:42:53.000 on the next few slides but we developed for different terminologies dedicated targets to improve the mega and rejection army madrasa, which are the other objects from multi Jetta the bus jets for the SCD PJ. 00:42:53.000 --> 00:43:07.000 And also been just back it on the way from the pigeon men veterans from cosmic Gremlins. And then as for the founder Mr make though we also have a few words about them but as the history be gone on for this LLP unconventional. 00:43:07.000 --> 00:43:22.000 So just we use the stuff without even ABC be Megatron estimator for whichever and boat on the best oxidizing deplane off to the Bible's, and then we speak for ABC the region from when we can estimate the number of events in this unity john with the former 00:43:22.000 --> 00:43:26.000 Russia in the lower corner of life. 00:43:26.000 --> 00:43:42.000 So will now talk a bit more about these new set of targets study from the juicy targets for me, maybe the most difficult challenge for the four and two analysis was I will the huge advantage just background for Multijet and Nicholas Jetson, which also 00:43:42.000 --> 00:43:56.000 prevented India Iran to for us to have high schools on in the day so for example if we're talking the case of that for them and for this we develop for their food on to a better Jessica roof on your own network exploding 3d images, and this is one of 00:43:56.000 --> 00:44:05.000 the first users in our search Sebastian and based on low level inputs, which are under direction and growing with that class that information and also showing your. 00:44:05.000 --> 00:44:07.000 All these images actually look like. 00:44:07.000 --> 00:44:13.000 And we did start getting them trained on Sunday that Sunday model learning jets and just from the platform. 00:44:13.000 --> 00:44:30.000 And we can see the score of our Tiger in the lower right blotter where the output one is for to the target is three o'clock with 149 04 better on Jetson and see our nicely we can discriminate between the scoring dash data that represents the Multijet 00:44:30.000 --> 00:44:48.000 multilateral and few of our signal benchmark models given really us begin begin improvement from the element to advises them from being just better and similarly, we cannot use what is usually standard for nonlinear analysis so to make that that jet cleaning 00:44:48.000 --> 00:45:02.000 through digital beeps because this would mean also affecting our signal. So in this case also, we use a gentleman just trained on signal sample and the lottery will beep sample for the rejection, and we use this quarter of that targeting based on this 00:45:02.000 --> 00:45:18.000 we kept on the jet timing and also the Unreal situation within the African jets. And as for the cosmic ray new answer we developed up, ben new on dp on metal target, which is the second plus the timing and reduction in background information of the a 00:45:18.000 --> 00:45:36.000 new answer, and for also for this one the target score response is shown on the lower part with the background, cost so cost mix from anti bus crossings in industry leading area and this economic which naturally Victor, Victor, on one. 00:45:36.000 --> 00:45:49.000 And then it's one of the final destination as already mentioned before, we use this ABC meet on, and in particular we also take care of possible to you know leverage our time this you know region, doing a similar Ministry of signal and negative answer, 00:45:49.000 --> 00:46:01.000 and we have no significant contribution from. We have no contribution from the beginning just background at the MACD level, and we have just a minor obviously about contribution in each year from our cosmic creative background, which is subjective and 00:46:01.000 --> 00:46:13.000 cross checks that along tracker, the 17 button on the CD and multiple validation region show really and I started off the a b c d. a me from the non law in all of our ABC plans. 00:46:13.000 --> 00:46:30.000 And also, every single, whether the claim variables are used for different diversity blend for our signal region sir, and also put as an example, your DVD for the two CPG region for GGF on the lower advantage of these light from the signal of add an s 00:46:30.000 --> 00:46:36.000 nicely begin to see in the region MD for on to obesity, on the left hand side. 00:46:36.000 --> 00:46:51.000 And this is also a bit of our then somebody of the significant selection of these two table on the right hand side for the WHTWH for they will see Mary Johnson on the left hand side for the GGFY answer with their cats on the number of type of the PJs 00:46:51.000 --> 00:47:02.000 the aforementioned the figure to get selection and dedicated cats on tigers and integrated quantities. 00:47:02.000 --> 00:47:04.000 As for that certainty. 00:47:04.000 --> 00:47:15.000 Moving on we have that, of course, even better on this dimension being a semantic concept the term the middle, that is, accordingly, a calculated propagating the certainty uncertainty of the control regions. 00:47:15.000 --> 00:47:29.000 And as for the expansion systematics we have them nicely summarized here in the stable for our six sigma v Johnson, I liking the different contribution for the total uncertainty, with for Jeff, I mean you want to take that sentence isn't being deluded 00:47:29.000 --> 00:47:41.000 systematic central who you are and just the uncertainties. But in general, let's see the orbit around 17 this you know you don't need to steal dominated body needs that is the uncertainty. 00:47:41.000 --> 00:47:44.000 Okay, thank you. 00:47:44.000 --> 00:48:11.000 Okay. And then as for the past few thousand background estimate so we have that perfect and perfect estimate so we're compatible with the one one sigma, and sure you understand what that unfortunately the unbranded results show no access with us back 00:48:11.000 --> 00:48:12.000 on iPhone VZNHH models, and that's for letting me Sweeney, put up a limit on the ground. 00:48:12.000 --> 00:48:26.000 US better than they were until we can see the last two column, the number of expected events and significant Johnson, and the observed one for our 16 agents and all of these are were compatible with the multi muscle, we have left to with setting limits 00:48:26.000 --> 00:48:39.000 example as shown India brought on the lower right that when we have the upper limits on the left foot on the y axis me that for them property alerts. In the x axis, and then this leads us function after that for the most of them interpolated between the 00:48:39.000 --> 00:48:52.000 available signal must find so in the according to the branching ratio, and this will be shown next slide there and I will just say you're a few more words about the gf and abuse communications is, as I mentioned, this is the first time that the research 00:48:52.000 --> 00:49:06.000 exploiting your sitter production model, and it's nice that there is a nice interplay between Jeff and who has shown this bond that shows the exclusion for the one on the movie that follow my sample so which we have one exclusion for me fully CDPJH I'm 00:49:06.000 --> 00:49:20.000 not into, we are behind the press indicates overlap because of the doc for themselves. 00:49:20.000 --> 00:49:38.000 who at smaller and higher Tw improving us and giving my sister and I will show them inside the to the to the limits of thing that we the analysis in the left, left hand side for the family's interpretation on the left hand side for PHHM interpretation 00:49:38.000 --> 00:49:45.000 in popularity for submit on the VC since these are the one for which we have a direct comparison windy, and you're searching. 00:49:45.000 --> 00:50:03.000 And in particular, we can see in the left blocking read the, the templates and contour for the one prompt analysis and in the orange contour is tempered center element to displace the exclusion, and we can see that for the food on to our, we had a very 00:50:03.000 --> 00:50:10.000 significant improvement and this is both thanks to internet of target Central New production must be exploited. 00:50:10.000 --> 00:50:23.000 And we also have this that we have our first exclusion of studio time the case which he allowed to produce and cover the region of the face, face so really all there for the masses, down to muster to have the new on down to fuel me. 00:50:23.000 --> 00:50:36.000 And we also extended our reach up to 10 G, and he's also very nice to notice that we have for the Nordic channel an exclusive on down to branch English off point 1% of the store that following the game, which is busy the standard modern value, a tradition 00:50:36.000 --> 00:50:40.000 for x and be specific, this is so sorry no solution. 00:50:40.000 --> 00:50:47.000 And for us all we under 15 interpretation into a church and models which is seem to me Sean got them there and stayed. 00:50:47.000 --> 00:50:57.000 And just to include this results were presented earlier this year also the as a conference a laptop problem and we are now going back to into a paper, which has to be submitted to the app. 00:50:57.000 --> 00:51:11.000 And as for the team effort. We are also working now on a forum to PDF this based on this we trade you're fully a target into the results for the end of this year, and we did a combined with GFMUH. 00:51:11.000 --> 00:51:23.000 And we also recently started a prompt searcher fit for which that us as it had been around one so we're really trying to enable all the new singer, German defense space to explore with research. 00:51:23.000 --> 00:51:28.000 And yeah, that was everything from a deck. 00:51:28.000 --> 00:51:37.000 Thank you very much, Sandra, really nice presentation for this very nice results. See we already have a hand up from teacher Please go ahead. 00:51:37.000 --> 00:51:39.000 Oh Hello, can you hear me. 00:51:39.000 --> 00:51:40.000 Yes. 00:51:40.000 --> 00:51:57.000 Yeah. So, in the hlt narrow scan, where you search for another beyond with Delta point five. So are you. So this delta calculation, are you using the beauty of these meals or is it the physical separation in this neon chambers. 00:51:57.000 --> 00:52:02.000 Yeah, there is both a physical separation so the visual. 00:52:02.000 --> 00:52:15.000 The destruction data plane. But then, because of how to the trigger rates, depending on the beauty of the near real tough to our law are cut too busy and the longevity of the, of the me on the, on. 00:52:15.000 --> 00:52:18.000 Unfortunately, because of the prerequisites. 00:52:18.000 --> 00:52:22.000 Okay, so you also have this physical separation. 00:52:22.000 --> 00:52:23.000 Yes. 00:52:23.000 --> 00:52:35.000 Okay. And another thing so so you're talking about narrow jets in the HKL. So, here in this analysis, you're not taking into consideration the case where the dark. 00:52:35.000 --> 00:52:44.000 The dark photon decays inside them non spectrometer into electrons. So, for electrons case it always has to do before they each country. 00:52:44.000 --> 00:52:56.000 Yeah, in principle, if you will, about the gay so at this point if you elect on the gays into the most committed, very hard for you to disentangle it will be pretty well secularism your baseline so yeah distilled interesting thing but yeah, in principle, 00:52:56.000 --> 00:53:13.000 you're only sensible to the station to two electrons are like adults in the India challenge you can also see this also in exclusion, visit this discontinuity you have the, in the, in this room below to most of the nuances because the arranger of the exclusion 00:53:13.000 --> 00:53:26.000 engage how busy the last time you access and then of course the display the decoupling Ranger you access to all these different from the young each other ones. 00:53:26.000 --> 00:53:37.000 And these narrow jets. I mean, how narrow are these I mean in terms of our, I mean, when you are clustering these jets. So, what is the island for these jets. 00:53:37.000 --> 00:53:38.000 Sorry. 00:53:38.000 --> 00:53:46.000 So in the HR, these widgets. What is the our value for these jets when you are clustering them on. 00:53:46.000 --> 00:53:55.000 So the, we still have okay cinco should do something so the syllabus academic between. 00:53:55.000 --> 00:54:13.000 Okay, this is I got a quick point for but then inside this column for basically you have, maybe this will be helpful. For example, if you look at the second the major of this 3d images you got either fi and then the VC ID energy unit Sir, this is really 00:54:13.000 --> 00:54:21.000 what the mature will look like. And so, that's also what we use for discrimination with the, with the, with the CNN because this is our signal. 00:54:21.000 --> 00:54:36.000 These are this is a signal candidate, and this will look at, of course our big brother for for background, and these what also allows us to do this, naturally, he's a billionaire civilization would be circulated. 00:54:36.000 --> 00:54:40.000 Okay, thank you. 00:54:40.000 --> 00:54:48.000 Okay, thank you very much for this question, I think you probably have time to squeeze in one more question if there is one. 00:54:48.000 --> 00:55:11.000 And if not, then I do have a curiosity so obviously you have a callow DPJ channel, which on the face of it looks like quite similar to what we had in the first talk of the kind of Tiger for the ratio, which is also in the, in the perimeter. 00:55:11.000 --> 00:55:16.000 But, presumably they have like they said, Have sensitivity to different. 00:55:16.000 --> 00:55:21.000 Let's say chromatic ranges. Can you maybe elaborate on on this difference. 00:55:21.000 --> 00:55:32.000 Yeah, so we actually we don't check sort of course we like I mentioned in that also been a nice effort but also from the Dallas shooting for example reinterpreting the in there. 00:55:32.000 --> 00:55:49.000 The search with our model. And also we looked at actually there is after obtaining them a complimentary in the Ranger ultimately because also the for example, the target of the mass of the LLP, which we go a bit lower, you must way with the culture, you're 00:55:49.000 --> 00:56:06.000 going to go up, up a bit more on mass than we do because of also the, the visited apology, that we that we director, and we're also running to do something similar also trying to, we do with the cost to try to get this Erica interpreting are researching 00:56:06.000 --> 00:56:12.000 our research in the, in the, the model used by our restaurant. 00:56:12.000 --> 00:56:42.000 Perfect. Indeed, and you will be sensitive to the career shooting work with optimize more towards higher Media Matters I guess know PMS is