Juliette Alimena: Okay, great. So welcome everyone to the the this. Lp, Fcc meeting. So I don't have any news for day today, because I just keep some news last week, and there hasn't been a lot news since then.
Juliette Alimena: But today we'll hear from John Hayward about H. And L. Searches with the idea detector and winter 2023 samples. So whenever you're ready, John, do you want to share your screen.
John Hayward: Yeah, sure thing, I will
John Hayward: share that. Now.
John Hayward: Sweet. So yeah.
John Hayward: everyone I'm going to be presenting today. This is what I've been doing for my masters
John Hayward: project at University of Cambridge. So looking for Hnls. With sort of the winter, 2023 statistics, the winter backgrounds, and the latest idea detector
John Hayward: geometry.
John Hayward: So the main things I was looking into with these searches were, firstly.
John Hayward: looking into the improvements made with the winter 2023 statistics. So I know there were things like
John Hayward: better modeling of the brems process, and a few other things to seeing. If I could quantify those to see how those were changed.
John Hayward: you know, different distributions within
John Hayward: the number of events.
John Hayward: Then, looking at optimizing the selections placed in the original publish snow mass paper, so whether I can add things or tweak exact values to get a better signal to noise ratio.
John Hayward: and then finally look into the significance of the H. And L. Signals. So
John Hayward: checking whether you know, in the current state with the selections I came up with, and the sizes of background events
John Hayward: whether you'd actually be able to detect these signals. So
John Hayward: first thing, very brief little bit about the model I was using. I'm not a theorist, so it's not going to be very in depth, but
John Hayward: just sort of touch on. I was only considering a single H and l, and only coupling to electron and electron neutrinos as well as obviously like Said and W. Bosons.
John Hayward: So as far as I'm aware, a lot of the more promising seesaw models, and actually a lot of them contain 2 or 3 Hls.
John Hayward: But it's a lot simpler in the early stages, as was done in that original snow mass paper
John Hayward: to just consider a single H and L,
John Hayward: and then
John Hayward: look into, you know, if that looks good scaling it up later to full theoretical models.
John Hayward: So these are the main 2 decay modes that I was looking into, since we're looking around the zed pole for the center of mass energy.
John Hayward: So you're looking predominantly at the case. 2 electrode neutrinos and 2 electrons, with this sort of characteristic displaced vertex coming from the long live nature of the heavy neutral left on.
John Hayward: So, then, generating these signals, is all done with the latest version of mad graph, as of me generating them, and then the winter 2023, Delphi's card and Edm for hep format.
John Hayward: and the latest then idea geometry at that time.
John Hayward: and I made 9 signals, each of which, with 50,000 events.
John Hayward: so all of them had an event waiting less than one. So you didn't run into any issues with
John Hayward: you know, discontinuities from having large event waiting which touch on more later.
John Hayward: But this was 4 of them we used to check. The generation was as expected, so the mass was correct. Magnitude of the 3 momentum was, as you'd expect, for just sort of like a basic.
John Hayward: you know, kinematic. Take on it. And then Theta, we have most of the events between 0 point 5 and 2.5,
John Hayward: which sort of fitted with what you'd expect for a high transverse momentum. Then such is what I was looking at.
John Hayward: But then, looking into it.
John Hayward: it's one of the things that I spent quite a lot of time on was Jet reclustering. So
John Hayward: those H. And L. Signals had. I mean, you'd expect from decays to electrons and electron neutrinos.
John Hayward: that most of the events would have no jets, or you know very few of them would have jets
John Hayward: but in this case the vast majority of events had at least 1, 2, or 3 jets So
John Hayward: one of the things I looked into to see if that was.
John Hayward: you know, simply some form of error that had crept in.
John Hayward: It was plugged in the angular separation. So we can see here in the bottom left
John Hayward: the angular separation in events with 2 reconstructed electrons and one reconstructed jet.
John Hayward: And there's a large
John Hayward: peak at about, I think, 0 point 2, which kind of suggested that these were the same particles, but being reconstructed as both an electron and a jet.
John Hayward: so I need some kind of overlap removal.
John Hayward: which, taking the reconstructed particles
John Hayward: separating out the Leptons and then running jet requestering, using the Mp kp, algorithm is what I went for in the end. Just over the jets work effectively as overlap removal.
John Hayward: and fitted the recommendation of
John Hayward: using some form of jet requestering, as that was necessary for spring 2,021 and winter 2,023
John Hayward: as it goes.
John Hayward: So when I applied those to spring 2021,
John Hayward: I noticed quite a large difference, particularly in the Z to Bb process between the publish snow mass results and the results I got using this anti Kt, requ.
John Hayward: you can see here. There's sort of a difference in the number of events at about 2 orders of magnitude.
John Hayward: So it's kind of unclear, and I didn't have time to get super into it. Whether the publish results were using
John Hayward: unrecluster jets or simply a different jet reclustering algorithm.
John Hayward: Because I know there's a whole load of different ones you could have used. So
John Hayward: yeah, I didn't have time to get really into it. But it was something I noticed and kind of wanted to point out.
John Hayward: Then, once I've got all that working and had everything as expected, I could start to look into improving the original cuts that were placed to try and filter out backgrounds.
John Hayward: So the first thing that I think was a natural up to add, was the requirement of displaced vertex.
John Hayward: So, as I touched on before, where you've got that
John Hayward: heavy neutral Lepton traveling and then decaying. You're expecting sort of secondary displaced vertex.
John Hayward: And this was using the same code from the exotic Higgs decays.
John Hayward: and you can see in the bottom left here
John Hayward: that the vast majority of events had, or sorry, not the vast majority, but in all of the H. And L. Processes. There were more events with one displaced vertex than with 0, and in all of the
John Hayward: backgrounds there are more events with 0 displaced vertices than one, so it felt like a pretty natural thing to require exactly one displaced vertex to pretty effectively filter out the backgrounds
John Hayward: without, you know, filtering out the H. And L. Signals too much.
John Hayward: Looking, then into the next. Things places to improve it.
John Hayward: I felt like the selections of no new ones, jets and photons, and 2 final state electrons.
John Hayward: All felt pretty reasonable to keep. You know. They did a good job in filtering out the backgrounds.
John Hayward: And then that left the missing momentum
John Hayward: and the electron track displacement. So with the missing momentum here the original cup was placed at 10 Gv.
John Hayward: I thought that you could probably make a good argument for lifting up to 25, or 30. Is that fully filter out the background? If you put it, let's say 30,
John Hayward: but you're then looking at a significant reduction in the number of events for these H. And L. Signals.
John Hayward: so I figured to keep it at 10 seem somewhat reasonable. You're still getting rid of a large number of the backgrounds, but with minimal reduction in the number of Hl signals.
John Hayward: Then
John Hayward: keeping it at 10. Looking at the electron track displacement, the original placed it at 0 point 5 for both electrons.
John Hayward: But with the
John Hayward: displaced vertex
John Hayward: requiring a track displacement of 2
John Hayward: You can see this large spike in the Hl electron track displacement, so there's no real reason to place it anywhere below. 2
John Hayward: is anywhere.
John Hayward: you know, up to 2 you can just
John Hayward: increase it and filter out more backgrounds.
John Hayward: But what I ended up going for was 4 for both of the electron tracks
John Hayward: as that ends up filtering out all of the backgrounds and with, as you can see, the H. And L. Distributions are relatively flat in that range of like 2, 2, at least 10 so you get a smaller reduction, for in H and O. Signals for a large reduction in backgrounds.
John Hayward: So with all those cuts.
John Hayward: it works quite nicely with the winter. 2023 samples of.
John Hayward: you know, completely filtering out all of the events.
John Hayward: which is, you know, obviously a good thing.
John Hayward: But one of the things that came about with that was these quite significant upper bounds on the number of events.
John Hayward: So you know, if you look at Z to opt down Z to Mimu, that 2 orders of magnitude higher than the number of events for the most favorable H and L. Parameters.
John Hayward: So I used a very sort of simple, basic significance calculation using this formula for Z here.
John Hayward: I mean, I guess you could use better ones, but it would give me at least rough ballpark figure of where to be looking
John Hayward: and summing those upper bounds in quadrature gave me a significance to 0 point 0 0 2, so significantly lower than the sort of significance of 5 you'd want for discovery of the new particle.
John Hayward: So clearly some work was needed on
John Hayward: bringing those up a bounds lower. Since you can't increase
John Hayward: for those specific parameters the number of H. And other events more than by a factor of about 2,
John Hayward: which I'll touch on here. So
John Hayward: one of the main things, I think, that was causing those large uncertainties was the event waiting for all the background processes.
John Hayward: So
John Hayward: you can see here that all of them have a waiting. That's a similar order of magnitude to the unfiltered number of Hl. Events
John Hayward: and then so touching on very briefly how the error calculations for these Monte Carlo samples are done
John Hayward: is the error is defined as the square root of the raw number of events times by the waiting.
John Hayward: And so you can imagine, then, the lowest. You can get that uncertainty down, or that error is when you've got one raw event
John Hayward: which will give you an uncertainty of just the waiting. So what I kind of imagined. Here was a perfect filter
John Hayward: that
John Hayward: would get you to the minimum upper bound on all of your processes.
John Hayward: and
John Hayward: not touch your number of H. And L. Events
John Hayward: so running that through these would become the upper bounds, and this would become your number of H. And L. Events, and plugging that into this formula for Z.
John Hayward: Some of the errors in quadrature
John Hayward: you get a significance of, I think it's about point 4 9 9, or just below point 5. So still significantly lower than would be needed to actually
John Hayward: claim discovery of nature, though.
John Hayward: So that brings me on to what I'm currently working on, which is looking at generating larger samples to bring that event waiting down.
John Hayward: And that's being done currently
John Hayward: by looking into placing filters at the Monte Carlo level
John Hayward: or the generator level.
John Hayward: So doing it at this point should allow you to generate. You know, a large number of events relatively quickly.
John Hayward: and not have to store all of them so you can. You know
John Hayward: you don't have 20 odd terabytes of data for each process.
John Hayward: So that's what I did. What I've been doing over the last week or so.
John Hayward: and the basic filter
John Hayward: is for the Z to be be the case.
John Hayward: you require at least one type of BS particle
John Hayward: with a lifetime greater than 3 times 10, minus 11 s.
John Hayward: and applying that filter, I was able to generate.
John Hayward: I think, one and a half times as many events. As for the winter, 2023 inclusive samples in about an hour and a half to 2 h yesterday.
John Hayward: so it's definitely an improvement in the time to generate them.
John Hayward: However, we can see here that there's
John Hayward: it clearly doesn't quite line up. So the red is with that
John Hayward: requirement of, you know, at least one Bs. For the lifetime of greater than 3 times 10 months, 11 s, and blue is the inclusive winter 2023 background.
John Hayward: And so I noticed they clearly didn't line up.
John Hayward: and that's where I then plotted. What green, what the green line here is sorry.
John Hayward: which was setting a filter of? Just true. So essentially, that's also an inclusive sample, and you'd expect it to line up perfectly with, you know, the winter 2023, inclusive
John Hayward: said to Bb decays.
John Hayward: which I mean, it clearly doesn't looking at this graph. So that's something I'm currently looking into of. Why, there's that difference.
John Hayward: And you know, I'm currently not sure exactly what it could be. So if anyone's got ideas or places that they think are worth looking, it will be
John Hayward: much appreciated.
John Hayward: So yeah, just so. Then a brief little summary of what I've been doing so generated New H. And O. Signals and compared them to the winter. 2023 backgrounds.
John Hayward: I added aid, and
John Hayward: you know optimizations to the selection rules from that published paper, or a displaced vertex, and both electrons having a displacement of greater than 4
John Hayward: from the initial point.
John Hayward: and that was able to reduce all the backgrounds
John Hayward: to 0 events just upper bounds.
John Hayward: But then the waiting on the background is just too large to get a good significance of these H. And L signals. So that brings me on then to where I'm currently at which is applying those Monte Carlo level filters, and hopefully, that will help bring the waiting down. If I can work out how to get them working properly.
John Hayward: Cool. Thanks so much. Anyone. Any questions.
Juliette Alimena: Thanks. This is great. I think you're you're doing a lot here already. So that this is this is important stuff
Juliette Alimena: questions. I have a few. But other people can go first.
Juliette Alimena: because.
Annapaola de Cosa: Hello, so sorry for this question is is more from my understanding. Can you go back, please, to issue with the the jet algorithm?
John Hayward: Yeah.
Annapaola de Cosa: Yeah, yeah, it's it's just for for my knowledge to understand a little bit better. How do the construction currently works? So if understood correctly. Here you were reconstructing. That's right that we're overlapping with the electrons. Okay?
Annapaola de Cosa: But do you have so many trucks?
Annapaola de Cosa: So is there any limit on the the number of trucks that are used for the clustering.
John Hayward: I don't think any limit was used. I basically copied the code from.
John Hayward: So this link
John Hayward: which I'm not sure if it's gonna work at the moment but it's all on the in the code page. There's sort of a code snippet on the Fcc. Analysis, Github.
John Hayward: Which I.
Annapaola de Cosa: Don't think of.
John Hayward: The top of my heads has any limit on the number of tracks.
Annapaola de Cosa: Okay, so is it possible that actually the the the mid last string algorithm can be actually improved? In order to
Annapaola de Cosa: avoid to to reconstruct all these, all these electrons as jets.
Annapaola de Cosa: apart from the from the cleaning, I mean.
John Hayward: Well, sorry.
Annapaola de Cosa: Requirements should be fairly fairly clean right
Annapaola de Cosa: again. My, my is is really a dummy question. So
Annapaola de Cosa: maybe I'm just asking something stupid. I'm just trying to understand. How does it work?
Annapaola de Cosa: And this environment, the the jet free, clustering.
Sarah Louise Williams: Yeah, maybe I can just got a quick comment here,
Sarah Louise Williams: and yeah, thanks. It's nice to meet you. Yeah. So I think we haven't done any detailed optimization of the jet re clustering algorithms. And you're completely right. If you if you were to put any reasonable jet free clustering algorithm in and veto on it. We should be looking at a relatively clean topology here, I think. The the big point moving from spring 21 to winter 23 is that they weren't that there's kind of no overlap removal implemented by default.
Sarah Louise Williams: So what we were really using here was kind of jet re clustering as a proxy to make sure we're not recovering.
Sarah Louise Williams: We're not putting the the electrons from the H. And a kings, but
Sarah Louise Williams: you could do much more sophisticated things if you wanted to. And if that's the thing we wanted to optimize.
Annapaola de Cosa: Okay, thank you. Again. I mean, this was really a question from my understanding. Thanks.
Annapaola de Cosa: or maybe actually another one on Slide 6.
John Hayward: Yep.
Annapaola de Cosa: So here.
Annapaola de Cosa: When is that correctly? That actually you have almost well, at least I mean the same
Annapaola de Cosa: order of magnitudes of events with 0 or one
Annapaola de Cosa: displaced vertices
Annapaola de Cosa: for a signal. I mean.
John Hayward: Yeah.
Juliette Alimena: Yeah, I think we should investigate that.
Juliette Alimena: I have the same comment.
Annapaola de Cosa: And should understand the yes, why you have so many events with 0 displace purchases.
Juliette Alimena: So, yeah.
John Hayward: Yeah, it's also not.
Annapaola de Cosa: Really huge difference between the.
Juliette Alimena: Go straight.
Annapaola de Cosa: Doesn't seem really seem to to go with the
Annapaola de Cosa: with the mass.
Annapaola de Cosa: with the signal hypothesis.
John Hayward: Yeah, that's good.
Sarah Louise Williams: Be a little bit careful that this is a long plot.
Sarah Louise Williams: So
Sarah Louise Williams: in some cases, yes, but in some, if I stare at them very closely, because we're going up in factors of.
Sarah Louise Williams: But yeah, Julia is, of course, right? We we should check it. But if I, if I stare particularly at some of the lines. It doesn't, you know, even though it looks fairly flat.
Sarah Louise Williams: If you zoom out if you zoom in, I imagine there's still a step up.
Juliette Alimena: Maybe a a naive thing, the perhaps, that the the displays vertex reconstruction cause you're using the display vertex reconstruction developed by the the exotic Higgs group. Maybe their definition of what a display vertex is is too tight for for your case for H. And l's.
Juliette Alimena: I don't know.
Giacomo Polesello: Yeah, I was suspecting something like that. Also. The the is very strange on on the same slide. Sorry that was my question. Is that. Why, you have an exact cut at 2 on the d. 0 for the signal.
Giacomo Polesello: That's something you have.
Giacomo Polesello: That's not physical, of course.
John Hayward: So I think that was coming from. So the displaced vertex cut.
John Hayward: Hasn't it? Selecting tracks with exclusively you know at least a displacement of 2
John Hayward: and since there I'm only taking the displaced vertices from electrons since I've already placed the cup on
John Hayward: only having final State electrons, I'd imagine that's what's causing that cut
John Hayward: so like the display. So.
Juliette Alimena: It's like, it's 0 in your signal in the D 0 distribution. And you're not doing the same thing for background. So I think you should investigate that.
John Hayward: Yeah.
Giacomo Polesello: Exactly. Yeah. Okay.
Giacomo Polesello: Travis, and cut on signal and background. Yeah.
John Hayward: Yeah, I'll have a look at that to see what exactly is causing that cause. I didn't think it was slightly weird having that sharp peak.
John Hayward: I tried to justify it to myself, but
John Hayward: not the soundest thing, so.
Juliette Alimena: Right? Okay.
Juliette Alimena: Let's see. Sorry about the you know. I I think we've jump. People have jumped in to to comment on what's being discussed. So that that's appropriate. So let's go back to Jeremy. Then
Juliette Alimena: Jeremy. Sorry.
Jeremy Andrea: Yeah, no, no, no problem
Jeremy Andrea: that that's very interesting and having a multi color filter for increasingly
Jeremy Andrea: background statistic, for sure would be super useful
Jeremy Andrea: in my opinion. So just just to to to go back to this chat stuff.
Jeremy Andrea: I'm I'm sorry, maybe, is this, I'm a bit
Jeremy Andrea: mixing up a here we are discussing about the electrons for constructed also as jets. Right?
Jeremy Andrea: So this is something that
Jeremy Andrea: in a particular flow way of thinking that that you select your electron first with tight id whatever, and and then you do the general construction. And and I guess this way naively, you get rid of the of the problem right?
Jeremy Andrea: So this this is not. I understand that. Then it's not done like that. Currently in the
Jeremy Andrea: the construction
Jeremy Andrea: is is that that is correct.
Jeremy Andrea: So we we have the same problem in in full simulation. Actually, it is the same. We have to to remove the jets.
Jeremy Andrea: A
Jeremy Andrea: but but then then okay in in practice should not be
Jeremy Andrea: The difficulty is just that we need to to implement it in in a way or
Jeremy Andrea: or or or another and and then on the filtering of the Monte Carlo. To to make sure, I I I for my education, probably. Ho! How do you technically implemented it?
John Hayward: So this is, I probably should have put a link in on the K. 4 Gen. Github page. I can get a link to that.
John Hayward: There's a file that allows you to put in a set filter and link to a specific pithier card.
John Hayward: You can then sort of define your filter and run it just with, I think. K. 4 run.
John Hayward: To that
John Hayward: python file.
John Hayward: So it's relatively simple to set up and get running.
Jeremy Andrea: So it's
Jeremy Andrea: you. You generate your events without the organization. Dk, whatever with with mad graph. And you have this
Jeremy Andrea: Ptr filtering package. So it's one while you run pt. On top of the ledg file, or something like this.
John Hayward: I'm not sure exactly. I don't know, Sarah. Do you know exactly when that filters applied.
Sarah Louise Williams: Yeah. So I mean, Jeremy, it's also worth saying that this is this is all quite new. And still I think it's the validation to go on the setup. So as it's implemented at the moment, it's being run
Sarah Louise Williams: directly in Pythia as part of a Gali filtering. It's like a Galdi algorithm. So one of the challenges that we can't currently run this directly in the Fbc production framework.
Sarah Louise Williams: What you do is you you run it as a gaudy algorithm run.
Sarah Louise Williams: But put the pity or events directly through the filtering out algorithm. Then you can run Belfast on top.
Sarah Louise Williams: Now, the fun we're going to come into if we try to do this is because they just this stuff is available in the latest key, perhaps back.
Sarah Louise Williams: But of course the winter 23 samples, the big inclusive ones we have to compare to will run with the previous version of the key, perhaps back. And now there's no longer backward compatibility. So
Sarah Louise Williams: so I I think this stuff is going to cause us a lot of pain to get it fully set.
Jeremy Andrea: Yeah.
Sarah Louise Williams: But what I hope we can do
Sarah Louise Williams: is at least get to a point where we can. So you know, one of one of the things that I think John is already struggling with is trying to just just compare the inclusive sample
Sarah Louise Williams: to some local filter samples are running. You can get the filtered samples to map on to each other quite well, but it doesn't seem to really make sense with the inclusive sample as it is at the moment I'm hoping that some of this we can get some help with the software people from the software people.
Jeremy Andrea: Okay, okay, thank you for for the explanations.
Sarah Louise Williams: But yeah, but basically more, more people testing this would be great. And I think what we should probably do. So, you know, been very gallantly trying to push all this stuff through about system this week.
Sarah Louise Williams: but now that we've got something out, I think we should take it back to the software people, and hopefully, they can provide support
Sarah Louise Williams: before we start rolling this out more broadly.
Jeremy Andrea: Okay?
Jeremy Andrea: I think, yeah, at the end of the day, many people we we need this feature.
Jeremy Andrea: So I agree that we should so somehow find a way to. So as a community, we help this development because in in the interest of everybody, everybody, I guess.
Juliette Alimena: Absolutely.
Juliette Alimena: Indeed, this is important.
Sarah Louise Williams: If I can just add one more comment on here. The iterations we have been able to have generally. But the software people have been quite quick.
Sarah Louise Williams: so I think what we should try and do is iterate with your own next few days? And then, if and when we have something we're confident works. We should actually discuss this in the software meeting.
Juliette Alimena: Okay, great. If you get a slot in the Sec. Software meeting, please also send a message to the Vsm group, so that people from, perhaps from both communities. Attend one presentation.
Juliette Alimena: Thanks. Yeah.
Sarah Louise Williams: I think I think that would be good. Yeah, I mean, the other option which I think we need to explore is that
Sarah Louise Williams: we. We could generate some new inclusive samples in the latest key for her
Sarah Louise Williams: back, but using the Sec production system which will feel painful, might be more straightforward than trying to
Sarah Louise Williams: cross. Compare across 2 different Edm for Hep performance.
Juliette Alimena: Okay. Thanks. Sophia.
Sofia Giappichini: Yeah. Hi, sorry. I hope you can hear me because I'm in numbers environment right now. Okay.
Sofia Giappichini: Yeah. I had a question on the displace vertices, because from my understanding, you straight up use the exotic list algorithm, right? You didn't check with the
Sofia Giappichini: where text their text features are algorithm, that it's
Sofia Giappichini: I might, I'd say, more commonly used right.
John Hayward: Yeah. So it was
John Hayward: basically just using
John Hayward: the one that Magda had just straight out.
Sofia Giappichini: Okay, so did you then check the the cadence? How it's
Sofia Giappichini: how it is for the the signals. Basically.
John Hayward: Oh, so checking that the
John Hayward: H. And L. Decay lengths match with the selection that I placed on the cup on the
John Hayward: truck displacement. Do you mean.
Sofia Giappichini: I mean.
Sofia Giappichini: So I'll I'll I'll see the decay lines it's disturbing between in respect, especially with the analytical equation. If it's
Sofia Giappichini: if if basically, it's compatible with that.
Sofia Giappichini: come on.
John Hayward: I don't think it's something I explicitly looked into. No, but now you mentioned it something that I probably should have had a look at so.
Sofia Giappichini: That's fine sometimes.
Sofia Giappichini: and we're looking.
Juliette Alimena: Okay?
Juliette Alimena: Other questions.
Juliette Alimena: I have a few. So right on this slide.
Juliette Alimena: Yeah. The the comment on the number of displaced vertices. Yeah, we should look at, you know the signal. Why, why, there's a significant number of cases where you have 0
Juliette Alimena: And then also I thought that in in general.
Juliette Alimena: you probably, if you
Juliette Alimena: make requirements on the displaced vertices, you don't need to make explicit requirements on the d. 0 as as well. It's a little bit of double counting, and perhaps a bit sort of messy. If if you do
Juliette Alimena: rather you could put cuts on the you know the lxy of the displaced vertex, that how how displaced the diver vertex is!
Juliette Alimena: Require more more displacement there, if you need.
Juliette Alimena: rather than looking at the track. D. 0.
John Hayward: Yeah, yeah, that does actually make sense. It's a better cut to do.
Juliette Alimena: Yeah, I mean, we had always intended to do one or the other, I mean, and actually better would be to to look at the vertices, but we didn't get there in times by the time of snow mass. So
Juliette Alimena: yeah.
John Hayward: Cool. Yeah, I will have a look at that. Then see if I can
John Hayward: tweak those values to use. Lx YZ. Or Lx y.
Juliette Alimena: Yeah, yeah.
Juliette Alimena: Or Alex, y, significance. So like the lxy value divided by its error.
John Hayward: Yeah.
Juliette Alimena: At least worth looking at
Juliette Alimena: as well.
John Hayward: Yeah, I'll definitely have a look into that.
Juliette Alimena: Cool.
Juliette Alimena: Oh, I had a just sort of perhaps somewhat dumb comment. But on on slide 9.
Juliette Alimena: which one is this? Yeah, with with all of this as you as you work on it, actually for other parts of what you're working on as well. I think it'd be great if you presented in the the software meetings or with, you know, physics and performance meetings. The the more people
Juliette Alimena: working on Fcc, who who are working on on these type, or who know about these types of things, you know, get their input early.
John Hayward: Yeah, definitely.
Juliette Alimena: Sweet because
Juliette Alimena: we would all profit, in fact.
Juliette Alimena: And then I had some sort of practical practical considerations.
Juliette Alimena: it! It'd be great if you could push your code to, to to get and make it publicly available. For, for example, if you're working in fcc analyses, you want to push to the Lp fork that we have of. Fcc analyses. Then people in in exactly this group would be able to profit from what you're doing. And we can all help, especially on these efforts that are common to to many of us.
Juliette Alimena: Yeah, definitely.
John Hayward: Yeah, I'll I'll get all that pushed in, or I'll make a fork and push to that this afternoon.
Juliette Alimena: Okay? Great. Yeah. At at least having it in in your own personal fork somewhere. Because you know, as master student, you know, you will not be on this project forever. So we would like to preserve what what you have done.
Juliette Alimena: Which brings me to my other question is, and I'm sorry if I've asked this before. But what is your your timeline? When when do you need to defend your thesis?
John Hayward: I think it's about a month, so mid may.
Juliette Alimena: Mid may. Okay, great. So yeah, I think it'd be great if we could. You know
Juliette Alimena: sort of document what what you've done and and both on the code side, and I don't know if you I guess you're writing a thesis and give a presentation.
John Hayward: Yeah. Yeah. Coming. Up.
Juliette Alimena: Wouldn't be sweet.
Sarah Louise Williams: Yeah, I mean just to give some practical comments. Because the students have exams and stuff in the middle. But I I think if we could get to a point where we
Sarah Louise Williams: iron out some of the displaced vertex off and we could get the filter sample working? That's consistent.
Sarah Louise Williams: I think, redoing the exercise of convincing ourselves what selection we could get down to 0
Sarah Louise Williams: background, even if we just did it with the B to Bb is the the kind of case study.
Sarah Louise Williams: If we could do that and then do like an initial sensitivity thing. And I think it'd be really good if we could write this up as a kind of note as that could be then used as an update reference.
Juliette Alimena: Yeah, indeed. Maybe we can still do these Fcc notes things
Juliette Alimena: we can talk to to pat and the manual, yeah.
Sarah Louise Williams: Yeah, yeah, I mean, whatever whatever ends up whatever format it ends up being to feed into the final report. But I think
Sarah Louise Williams: being able to kind of show. Some updated projections, I think, would be nice.
Juliette Alimena: Yeah, absolutely write it down. Figure out what the other phone.
Sarah Louise Williams: Yeah.
Juliette Alimena: Yeah.
Sarah Louise Williams: Particularly with the life of the fact that I think what we've seen is that we didn't do the jet request during probably last time.
Sarah Louise Williams: Unless.
Juliette Alimena: Barely certain we didn't.
Sarah Louise Williams: Yeah, yeah. So I I think I think that would be a line at least a good initial update.
Juliette Alimena: Absolutely
Juliette Alimena: okay. Other comments or questions.
Juliette Alimena: We had a lot of discussion already. So this is really great to to see. John.
Juliette Alimena: Thanks for for all the hard work and good luck.
John Hayward: Yeah.
Juliette Alimena: Moving towards your thesis, and if you want to, since again give an update, just don't hesitate to to let me know.
John Hayward: Yeah, we'll do.
John Hayward: Thanks so much, and thanks for listening everyone and for the comments that very helpful.
Juliette Alimena: Awesome.
Juliette Alimena: Anything else or any other business.
Juliette Alimena: Have a green room.
Juliette Alimena: Okay? Great, and a bit of a shorter meeting today. And in general, remember everyone. If you want to give an update on your work, even if it's, you know, in in progress, you have questions that this group can, can, you know? Speak to?
Juliette Alimena: That's what we're here for, so don't hesitate to let me know.
Juliette Alimena: Thanks. Everybody have a good weekend.
Annapaola de Cosa: You, bye.
Sarah Louise Williams: Thanks, bye.