WEBVTT

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WH11NE- Sunrise: Good afternoon. Thanks a lot for coming for the what's called.

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WH11NE- Sunrise: I'll present the next results for the

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WH11NE- Sunrise: for the lovely particle Search immism case.

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WH11NE- Sunrise: you'll see Ms beyond vector showers.

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WH11NE- Sunrise: And

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WH11NE- Sunrise: I'm from initial science laboratory in Armenia. I'm a 5th year. Phd student. And I've been to for about 2 years.

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WH11NE- Sunrise: I've been involved in some of the. These are some of my activities that I've been involved in formula.

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WH11NE- Sunrise: So the physical analysis itself, the

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WH11NE- Sunrise: have been working on the development of system test for the Cms. And timing pair modules

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WH11NE- Sunrise: for this, for the for testing them, and having involved in testing of pixel and strip Acl sensors at the testing facility and and then contributed in the design and performance of the screen racing

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WH11NE- Sunrise: of so and currently, I'm working on the

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WH11NE- Sunrise: development of a testing set up for the modules with cost improvitation.

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WH11NE- Sunrise: So yeah, we'll start with the production test.

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WH11NE- Sunrise: You know, that standard model has a short codes, some of them.

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WH11NE- Sunrise: Some of the phenomena cannot be explained. With this other model, for example, the Guy hierarchy problem, the existence of the dark matter, the very in a symmetry and the

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WH11NE- Sunrise: interacting, the universe. The origin of the neutrino messes the universe expansion with acceleration. So

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WH11NE- Sunrise: the gravity, gravity signature itself. So there are some pictures here.

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WH11NE- Sunrise: Also.

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WH11NE- Sunrise: There's like

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WH11NE- Sunrise: the 1st page I'm showing. The bullet cluster. Galaxy cluster. It consists of. This is this observation consists of.

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WH11NE- Sunrise: So

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WH11NE- Sunrise: the there are 2 parts of the image, the the blue regions which correspond to the locations of the

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WH11NE- Sunrise: the 2 Busters.

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WH11NE- Sunrise: and the the pink region is the X-ray X-ray. The observation of the X-ray radiation in this region which shows that these 2 galaxy clusters have collided.

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WH11NE- Sunrise: How do we know that? Because well, 1st of all, by the shape of the of the second

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WH11NE- Sunrise: of the second part of the

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WH11NE- Sunrise: that's the second region. So which means that this this galaxy has been deploying through with the higher speed, and

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WH11NE- Sunrise: by seeing that by observing the the lens effect, the cosmic lens effect, we can say that

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WH11NE- Sunrise: the masses are still concentrated in this in these regions, even after the collision. And

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WH11NE- Sunrise: I think the radiating matter is the gases which have stolen down after the collision, which

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WH11NE- Sunrise: yes, and as a result, we can see the radiation from here. But these parts of the matter they didn't interact. If they didn't slow down. They moved faster than the gas, so

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WH11NE- Sunrise: a new type of matter has been introduced, called called Dark Matter.

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WH11NE- Sunrise: Oh, and for the various symmetry

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WH11NE- Sunrise: So that's the question. Why is the universe consists of only matter, one of the one of the indirect

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WH11NE- Sunrise: indirect? Let's say confirmation, that.

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WH11NE- Sunrise: or just a observation of that phenomenon can be the the microwave map of the universe. Simply, it's showing the temperature in different locations.

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WH11NE- Sunrise: the universe. It's of the universe. If the Z axis is the temperatures. So since there are dark areas, which means that since since the map is not uniform, it means that there wasn't a known uniformity initially in the early universe of matter in that matter. So once it expanded, the dark

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WH11NE- Sunrise: regions also the less dense in matter. Regions have also expand, and the

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WH11NE- Sunrise: yes, and the map of the app universe is evolution.

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WH11NE- Sunrise: Yes, the universe is expanding, expanding with an acceleration.

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WH11NE- Sunrise: And well, to to explain that the dark energy concept testing.

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WH11NE- Sunrise: Let's see.

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WH11NE- Sunrise: So

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WH11NE- Sunrise: some of the some of the phenomenon that cannot be explained with with the standard model theories or beyond standard model theories are introduced.

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WH11NE- Sunrise: They

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WH11NE- Sunrise: So they sent the standard model with new predicted particles and and the searches for hey?

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WH11NE- Sunrise: The the search for Bsn particles is mostly inspired by the standard model

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WH11NE- Sunrise: problems. So the detectors that are built today the modern detectors are stuff.

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WH11NE- Sunrise: They expect the particles to be prompt. So so they so the

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WH11NE- Sunrise: so. So this this expectation has been has been the cause of development

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WH11NE- Sunrise: of the nowadays. Design of the detectors.

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WH11NE- Sunrise: Oh.

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WH11NE- Sunrise: yes, but but there are cases in the Bsm. In the models that the particles can have significantly larger decay time.

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WH11NE- Sunrise: vk, distance.

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WH11NE- Sunrise: And that's when the log net particles come in.

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WH11NE- Sunrise: so the requirements for the particle to be long lived. This is the decay. This is the lifetime of the particle. It depends on 2 major components is the matrix element and the phase space of the decay.

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WH11NE- Sunrise: So it either either to be to be for the particle to be long lived either the map matrix element should be small, small or or and the space space for SDK should be

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WH11NE- Sunrise: should be limited.

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WH11NE- Sunrise: So in many theoretical model there are many theoretical models. These are some examples of those that predict the existence of the Ops.

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WH11NE- Sunrise: the Suzy model, the seesaw model that predicts the steril-steromes and the hex portal model which will be discussed in this. In this talk, hidden values

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WH11NE- Sunrise: and for the detection they challenge the ordinary methods of detecting particles and some new detection techniques and

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WH11NE- Sunrise: Tree bank methods should be developed.

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WH11NE- Sunrise: So, oh, so to to detect. We expect a different signature from them than from standard model particles.

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WH11NE- Sunrise: We expect an anomalous organization which is

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WH11NE- Sunrise: different different amount of ionization that can be predicted from the box equation. We expect the the waves vector signals.

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WH11NE- Sunrise: and so- so after. So since then we can separate the searches into 2 categories

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WH11NE- Sunrise: into direct detection. And for charge Llps and Neutral Llps.

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WH11NE- Sunrise: In case of charge we can observe. Observe tracks. If we discuss the design of Cms. We can.

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WH11NE- Sunrise: We'll we'll observe some some disappearing tracks or anomous trajectory tracks.

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WH11NE- Sunrise: What is it? Disappearing track is the if the indicates somewhere in the tracker system, it's at least a track behind it behind it, and at some point

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WH11NE- Sunrise: the the track just interrupts.

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WH11NE- Sunrise: If a.

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WH11NE- Sunrise: the other cases, the displaced track, when when it the case before the tracking system, and we can see all the

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WH11NE- Sunrise: the track of the reference.

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WH11NE- Sunrise: Oh.

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WH11NE- Sunrise: in case of any direct detection with the neutral piece of the case for this for this talk.

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WH11NE- Sunrise: Oh, we expect a decay, displace, decay, vertex.

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WH11NE- Sunrise: It's placed somewhere because calorimeters or the internal system phone.

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WH11NE- Sunrise: So into more in detail of

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WH11NE- Sunrise: discuss the case with the, you know system.

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WH11NE- Sunrise: So

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WH11NE- Sunrise: why do we perform searches and immune systems? Because it has a high coverage and high coverage?

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WH11NE- Sunrise: well, it's it's it's completely covering the

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WH11NE- Sunrise: Cms. It has a far. It is far from the interaction point, so we can cover a large decay decay distances.

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WH11NE- Sunrise: It's excellent for background suppression, because it has steel layers, and this steel and detector layered structure can be used as a sampling.

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WH11NE- Sunrise: And this is the this images from a simulation. We have to play with example of a pair of an and beyond.

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WH11NE- Sunrise: we can obviously see that these yellow dots are. It's in the so gas chambers.

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WH11NE- Sunrise: cattle, strip chambers. And we can.

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WH11NE- Sunrise: We can see that the signature of the differs a lot, and I will explain how the Llps became, and how does how does it produce showers? And therefore it produces more hits than the muon.

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WH11NE- Sunrise: Also it's more compact because passes through and leaves very few hits.

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WH11NE- Sunrise: So the- the analysis that I will show is using the- the following mechanism to

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WH11NE- Sunrise: to detect their own piece, oh, Whoa!

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WH11NE- Sunrise: Once- once the produce, the showers. We use a scan.

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WH11NE- Sunrise: an algorithm called dB scan to reconstruct those heads into clusters.

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WH11NE- Sunrise: Oh, there's something. There's a diagram that shows 2 parameters distance parameter, from the, from the from the

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WH11NE- Sunrise: perfect, for the, for the, from the mean of the closer from being distance from the closer and the the end of this, the mean, the main position, and the distance from the from the other from the other end. So it's

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WH11NE- Sunrise: continuously looking over tickets and collecting them into a cluster.

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WH11NE- Sunrise: And

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WH11NE- Sunrise: yes, as we've seen, the do not create. And eventually the number of hits is one of the important parameters that we'll use. It's not going for the mules is going to be

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WH11NE- Sunrise: there, there will be much less. It's neglected. Cluster.

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WH11NE- Sunrise: So this is the 1st analysis that has been done in the

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WH11NE- Sunrise: just, an search in their own chambers

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WH11NE- Sunrise: in. Yes, this is the. This is the signal process that has been discussed. So

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WH11NE- Sunrise: that became still happens in the system, and because because it's happening in the immune system, and

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WH11NE- Sunrise: the energies are high because of the because it's produced by

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WH11NE- Sunrise: 5 decay on the Higgs also the Lp. Is a scalar-scalar. So

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WH11NE- Sunrise: so, therefore, since it passes the colorimeters, it produces a high net.

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WH11NE- Sunrise: and in the selections you know, find selections we use. Pt. Greater than 200 Gb. Of missing. We require at least one at least one chat of greater than 50 gb. Pt. And we require at least

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WH11NE- Sunrise: least one cluster, or one or 2 clusters passing the top cluster. Id cluster id is a set of requirements for the cluster.

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WH11NE- Sunrise: and so, after. So, after these selections and estimation limit of the limit.

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WH11NE- Sunrise: these are some of the these are the curves of the estimated limit. Different curves correspond to different masses. For the there are 3 Gb. 7, 1514,

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WH11NE- Sunrise: 65, and the most stringent limit that could be applied. In this case.

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WH11NE- Sunrise: it can be estimated is at one meter of a Dk length.

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WH11NE- Sunrise: So

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WH11NE- Sunrise: yeah. So the Higgs portal model is the one that we have that we're discussing, because it's a, it's a minimum extension model. It extends to center model by a single scalar.

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WH11NE- Sunrise: Which is so.

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WH11NE- Sunrise: Yes, noted by this. So the-, the-, the extension of the standard model consists of 2 parts, and the the first-, the 1st part is the one that we just we'll discuss

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WH11NE- Sunrise: on this talk, and the second one is the one, the one that we have just looked at.

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WH11NE- Sunrise: and yes, and the yes, the second scenario, I mean the second scenario will trigger it with Matt. And it's a

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WH11NE- Sunrise: it has been excluded. It's the selections developed for it. Very sensitive.

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WH11NE- Sunrise: Yes, and the the 1st case that we will discuss.

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WH11NE- Sunrise: we observed, observe a direct OP. The production of the OP.

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WH11NE- Sunrise: From the from decay of the V Renaissance.

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WH11NE- Sunrise: So so the into a We cloud that's decay to a mess and

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WH11NE- Sunrise: 36.

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WH11NE- Sunrise: So since so- so since we

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WH11NE- Sunrise: there is the, there is a requirement on the mess of the OP, since it's going to be smaller than the venison mass.

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WH11NE- Sunrise: the 1st diagram will be dominant in the fixed portal.

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WH11NE- Sunrise: So we are using the yeah sounds.

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WH11NE- Sunrise: And and we're using the be parking data set to overcome the limitations from 5 min.

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WH11NE- Sunrise: because well, I didn't include the kinematics of the. But for the for the for this case, the

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WH11NE- Sunrise: very soft, that's very little peaky and

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WH11NE- Sunrise: yes, and this is the single signal process that we're discussing.

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WH11NE- Sunrise: So the way that we trigger. This process is with the with the neon.

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WH11NE- Sunrise: As I said, we have 2. 1 of them decays into an the other, one decays into a decays into a new one, and

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WH11NE- Sunrise: then we all just use the

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WH11NE- Sunrise: to trigger the events that will selections for the new ones you want to

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WH11NE- Sunrise: for the view parking data sets.

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WH11NE- Sunrise: so- so the- the data set was collected in 2018 with 14 1.6

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WH11NE- Sunrise: in our city. It consists of 10 billion events. It each of them has

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WH11NE- Sunrise: as a decay of 2 in essence.

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WH11NE- Sunrise: And so during the data acquisition, the drop in the the drop in the luminosity has been considered.

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WH11NE- Sunrise: and in 2017 we can see that was dropping. So in 2018, periodically, to maintain the same

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WH11NE- Sunrise: data rate. New Hlt triggers we're adding

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WH11NE- Sunrise: were being added in order to in order to maintain the same event, collection number of events.

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WH11NE- Sunrise: So eventually,

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WH11NE- Sunrise: eventually, by the end of the collect data acquisition, about 70 to 80% security. It's been

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WH11NE- Sunrise: has been achieved for preparing data set.

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WH11NE- Sunrise: Also, we apply trigger scale factors for the events

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WH11NE- Sunrise: which has been collecting, which has been calculated using the simulated events of J side to process with the parking data set.

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WH11NE- Sunrise: So in order to calculate it. The mass mass has been reconstructed of the J side process. The same was done for the parking data set. The peaks have been calculated, reconstructed for different.

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WH11NE- Sunrise: Oh, so the new ones already constructed with the tag and probe method

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WH11NE- Sunrise: and the probe method probe probe muon has been used to select different regions of the Muon Pt and the displacement significance

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WH11NE- Sunrise: in different regions.

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WH11NE- Sunrise: The the mass peak has been constructed and fitted with the Gaussian plus cherish 1st order, phase, function.

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WH11NE- Sunrise: oh, and and yes, and the the integral of the

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WH11NE- Sunrise: of the differences calculated as a as a as the yield.

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WH11NE- Sunrise: And and then the efficiency has been calculated for the.

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WH11NE- Sunrise: for the events where the probe, you know, is passing the parking agility triggers for not the following data.

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WH11NE- Sunrise: and the ratio is take of signal over background is taken as a trigger, as a trigger scale factor.

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WH11NE- Sunrise: Oh.

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WH11NE- Sunrise: so in the process that I've described, we discuss the decay of the of the OP. Into 2 ions.

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WH11NE- Sunrise: either positive, either positive or neutral or positive, to oppositely charged or to neutral items.

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WH11NE- Sunrise: Yeah, so, and once we construct the clusters, and we require them to match their own piece. Gen, level.

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WH11NE- Sunrise: Yeah, so and we calculate the efficiency for those for those cases, for for the for different decay positions.

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WH11NE- Sunrise: And yes, we can see that we observe about 50 to 60% efficiency in the in the reconstruction of the of these clusters.

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WH11NE- Sunrise: Yes, and yes, the upper row is for 5 0 5 0, and for the

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WH11NE- Sunrise: so this is a so now I'll describe the analysis strategy that we've implemented we.

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WH11NE- Sunrise: So these are the requirements for triggering on. We require to be on to greater than sub G energy. Less than 1.5.

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WH11NE- Sunrise: We're required to buy one of the departing Hlt triggers, which are the following,

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WH11NE- Sunrise: the ones that we have used and the and the we require. It passes off, screwed

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WH11NE- Sunrise: and and yes, and and of course, we apply selections on the clusters. We apply quality cuts on those, and

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WH11NE- Sunrise: the 1st one is the the rejection of the clusters that are coming from the 1st layers. So since We-we are discussing the we performed analysis in the couple strip chambers

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WH11NE- Sunrise: we require.

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WH11NE- Sunrise: We we checked the first.st

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WH11NE- Sunrise: Oh, the the cluster is coming from the 1st layers of the of the Clc.

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WH11NE- Sunrise: Any 1, 1, 2 regions, and also

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WH11NE- Sunrise: we apply additional veto on the clusters that are matched to his in re, 1, 2.

179
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WH11NE- Sunrise: Yes, and are you talking to?

180
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WH11NE- Sunrise: Oh.

181
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WH11NE- Sunrise: because this is done because it does. Those layers don't. Don't, don't have any any shielding compared to other other chambers.

182
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WH11NE- Sunrise: and can kind of clusters in them can be produced by the functional jets that are passing through the parameters.

183
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WH11NE- Sunrise: Yes, it contributes to the background

184
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WH11NE- Sunrise: and to mitigate the branch stolen. Coming from the from the neurons we reject. We reject the clusters that are coming from by rejecting the between the clusters that are matching to the segments in the 1st parallel layer.

185
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WH11NE- Sunrise: one or in Rb. One.

186
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WH11NE- Sunrise: Also we reject this region of of Csc's, because in earlier study dub

187
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WH11NE- Sunrise: the theme on reconstruction has been performed poorly in this region. So yes, We-we checked the

188
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WH11NE- Sunrise: reject the events that are coming, or reject the events. Where then, the events were triggered by

189
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WH11NE- Sunrise: 5 new 1. 0, Sandy!

190
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WH11NE- Sunrise: So, after all these selections, these are the backgrounds that we expect to have very useful background, which comes from the from the particles which are

191
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WH11NE- Sunrise: which are coming from the cosmics that they can be detailed, and

192
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WH11NE- Sunrise: once they are vetoed, the rest of them will be estimated with the with the data trimming method

193
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WH11NE- Sunrise: and the irreducible background which is

194
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WH11NE- Sunrise: produced by the standard model articles which are long lived by themselves, and the study shows that they are dominating in the background.

195
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WH11NE- Sunrise: Yes, and and it's going to be estimated with the with the fake rate method, this one.

196
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WH11NE- Sunrise: yes, and the Abcd method is some- so

197
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WH11NE- Sunrise: in a Ucd method, 2 main variables are chosen to distinguish the signal region of our data, and

198
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WH11NE- Sunrise: yes, once- once they are determined, they must be independent. And so

199
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WH11NE- Sunrise: it must not be correlated. So we apply cuts on them. So so we can select precisely our single region, and once a signal region is selected. We use the other regions in order to predict the background. Since these are all these are

200
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WH11NE- Sunrise: required as background. We use them to estimate the background in Region A,

201
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WH11NE- Sunrise: and this is the way we do it. So BCOT. A. R. 10.

202
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WH11NE- Sunrise: Problem.

203
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WH11NE- Sunrise: Yes, A is the the background

204
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WH11NE- Sunrise: estimated background in the signal reading.

205
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WH11NE- Sunrise: So, yes, these are the number of events in each region.

206
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WH11NE- Sunrise: So here's what we did. We selected the as as our 2 main variables that we've chosen, the number of hits in each cluster.

207
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WH11NE- Sunrise: The the Delta Phi between the cluster and the trigger millenn.

208
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WH11NE- Sunrise: and we can clearly see that for the background and for the different. Therefore, Delta Pi is more uniform for the for the parking data set. And so the number of kids in the parking data set is smaller.

209
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WH11NE- Sunrise: Also, we can see that they are not correlated so they can be used.

210
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WH11NE- Sunrise: And we did a scan of different. We can apply the signal over background of.

211
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WH11NE- Sunrise: and yes, and on X axis is the

212
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WH11NE- Sunrise: the Delta py cuts the Y axis, the cluster size cuts, and the axis is the signal over by cuts

213
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WH11NE- Sunrise: definitely absurd.

214
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WH11NE- Sunrise: So I know.

215
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WH11NE- Sunrise: So to- to validate the ABC method. We use the out of time events. These are these are the variables that we use to distinguish whether the event is from at the cost rates from the in time, domain, interaction, or from the pilot.

216
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WH11NE- Sunrise: These are between the regular cluster. Time is the-the mean time of the bus cluster which the mean is taken from the hit static campaigns and the regular cluster time spread is the standard deviation of the of the time.

217
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WH11NE- Sunrise: Oh, okay, of the time of the holidays

218
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WH11NE- Sunrise: closer. Okay, if you pull up the distribution. We'll see. You can calculate this.

219
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WH11NE- Sunrise: And so

220
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WH11NE- Sunrise: yes, and we simply. And if we throw the the cluster time we can see the main that the signal is coming from the main fraction points, mostly speaking.

221
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WH11NE- Sunrise: So this region is used for the method. The rest is used for this validation.

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WH11NE- Sunrise: Hello!

223
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WH11NE- Sunrise: And by yes, by validation. We're estimating the background in Region 8, and we're comparing it to the number that we have in region.

224
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WH11NE- Sunrise: and we see that they match.

225
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WH11NE- Sunrise: Yes, and the this value these values for the cuts are selected by tuning. We wait

226
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WH11NE- Sunrise: initially, we're basing on the signal of our background. But later we began to tune the values

227
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WH11NE- Sunrise: and we have, after several attempts to find the most sensitive cuts that we can apply we have paid to

228
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WH11NE- Sunrise: into just oh, so here's how we estimate the favorites.

229
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WH11NE- Sunrise: the contribution of the irreducible background.

230
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WH11NE- Sunrise: Oh, so we we create sample w plus chats events using full ROM to data set.

231
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WH11NE- Sunrise: We require type, id isolated laptop in the events we rebuild. The jets that are matching to the laptop with Delta R is a 0 point 4, and we require an enterprise.

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WH11NE- Sunrise: We yes, we- we calculate the the fake rates applied to the chat and

233
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WH11NE- Sunrise: that that this matches to the clusters

234
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WH11NE- Sunrise: to see. Yes, to- to- to see how much, how how much, how how many, oh.

235
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WH11NE- Sunrise: to see how many events will be, events would be, see what we see. Depending on the

236
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WH11NE- Sunrise: so the

237
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WH11NE- Sunrise: yeah. So we eventually we observe 156 events that can be considered to be fake clusters in the selected events

238
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WH11NE- Sunrise: and still validates this.

239
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WH11NE- Sunrise: This method we select.

240
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WH11NE- Sunrise: We select 2 validation regions anyway.

241
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WH11NE- Sunrise: and then the same A/C plane.

242
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WH11NE- Sunrise: Oh, yes, and the with the blue regions are the-, the control regions that we select.

243
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WH11NE- Sunrise: Until we observe.

244
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WH11NE- Sunrise: And we we observed the number of events in those, and we they match to the and the predictions match to the, to the observation.

245
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WH11NE- Sunrise: So the so we have. We perform the systematic. We performed the calculation, but calculated the systematic effects

246
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WH11NE- Sunrise: we have used. This is not answering these. We have used the Z 2 essentials, proudness and policy, and

247
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WH11NE- Sunrise: and the single single beyond data set as a as a experimental data.

248
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WH11NE- Sunrise: And we performed the measurement of the systematic uncertainty. Seeing a large team or give me on this. Oh.

249
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WH11NE- Sunrise: at large, in the in the region with large team on us values.

250
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WH11NE- Sunrise: Oh, okay.

251
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WH11NE- Sunrise: So there are some. These are the requirements that we apply on data

252
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WH11NE- Sunrise: is only on 27th for her to be fired.

253
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WH11NE- Sunrise: Yeah. So the kinematic selections on the new ones.

254
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WH11NE- Sunrise: the tag and probe method was used in this case as well, and

255
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WH11NE- Sunrise: the Yes. As I said, the is restricted in which

256
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WH11NE- Sunrise: and this is one of the one of the plots for the uncertainty

257
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WH11NE- Sunrise: for the of one of the vetoes particularly, this is the 1, 1, 2 veto which rejects the 1st layer of the

258
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WH11NE- Sunrise: oh versus the number of primary vertices.

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WH11NE- Sunrise: Sorry this is the

260
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WH11NE- Sunrise: for for Z, for the, for the multiparlor data. These are the efficiencies, and the ratio of those is taken to consider.

261
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WH11NE- Sunrise: So so these are the uncertainties that we have estimated.

262
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WH11NE- Sunrise: Not all.

263
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WH11NE- Sunrise: So the there-. There is no certainty on the cross section of the process.

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WH11NE- Sunrise: There's a There's us, and and on the integrated

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WH11NE- Sunrise: for the rest of the cluster and for the rest of the cluster selections

266
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WH11NE- Sunrise: estimate for all of those. So

267
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WH11NE- Sunrise: so for the for the ABC. Prediction, we don't apply any uncertainties.

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WH11NE- Sunrise: Oh, so statistical uncertainties assigned to the

269
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WH11NE- Sunrise: chance. Thank you. Chance. Oh, sorry fake Rains this one, I think.

270
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WH11NE- Sunrise: And for Monte Carlo, yeah, so. And

271
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WH11NE- Sunrise: for Monte Carlo, yes, these are the uncertainties that we that we considered enter.

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WH11NE- Sunrise: Yes.

273
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WH11NE- Sunrise: what is it here? And plus the trigger scale factors, uncertainties, the and the statistical uncertainties for the multi parallel.

274
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WH11NE- Sunrise: So these are our state limits.

275
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WH11NE- Sunrise: The first.st These are these are the 1st Cms results for these for- for this kind of signature.

276
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WH11NE- Sunrise: and yes, we can see. These are the limit first, st for different masses, you know these, but in particular, for that's particularly for 5 plus 5 minus decay. Mode.

277
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WH11NE- Sunrise: yes, and we're able to get about 6 to 10 to negative 5 branching fractions limit on the branching fraction.

278
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WH11NE- Sunrise: Oh, yes, and these are the signal yields that we have that we have calculated in different regions.

279
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WH11NE- Sunrise: So yes, the total background is so sorry.

280
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WH11NE- Sunrise: so sorry. These are. These are the the number of the background events and and total observed events.

281
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WH11NE- Sunrise: and we we interpolate the these curves for different mass, for different masses.

282
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WH11NE- Sunrise: And this is the yes, and this is actually called for

283
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WH11NE- Sunrise: And so as a as a summary, and say that this is the second search for in the using department data set.

284
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WH11NE- Sunrise: it's particularly sensitive for lowness at the low Ptl piece with longer lifetimes.

285
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WH11NE- Sunrise: This one else is going to be and virtual affection. So, okay.

286
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WH11NE- Sunrise: okay, do we have questions for

287
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WH11NE- Sunrise: can you actually go to slide 29. Your limits live

288
00:37:12.970 --> 00:37:26.350
WH11NE- Sunrise: so it could be that I can't tell the colors. So if that's the case, let me know. But it looks like I would naively expect there to be some trend as you go up in mass like 1, 2, 3 would be some sort of smooth.

289
00:37:26.810 --> 00:37:30.580
WH11NE- Sunrise: you know transition, but you actually have your one.

290
00:37:30.950 --> 00:37:38.950
WH11NE- Sunrise: and then the 3 is the next one, the next lowest, and then you go to the 2. So do you understand why you have this sort of complicated mass dependence.

291
00:37:39.850 --> 00:38:07.279
WH11NE- Sunrise: like, if the one like, if you're 100 like, you're 100 or like 5 proper decay length. You have your 0 point 3, and is the lowest limit. You're most stringent, and then you have one that I would kind of expect it to be 2. But instead of your your 3 mass point is actually better, and then the 2 1 is above it. Do you know why you're less sensitive to your 5 mass of 2 versus your 5 mass of 3 or 5 mass of one.

292
00:38:07.940 --> 00:38:12.420
WH11NE- Sunrise: Oh, right?

293
00:38:13.990 --> 00:38:21.049
WH11NE- Sunrise: So I think it's a good yeah, to be honest.

294
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WH11NE- Sunrise: So some

295
00:38:23.060 --> 00:38:48.009
WH11NE- Sunrise: this could account. I don't have a certain answer to it. Why, why is that happening? No, this is this is part of. Maybe I can help. This is why you've been working on extra signal samples. Generation. Oh, yeah. So this is part of the question. Why, you would ask during approval. We don't expect this kind of behavior. That's the

296
00:38:48.110 --> 00:38:57.900
WH11NE- Sunrise: from what we see previously, all the Mds limits are pretty much mass independent. And we are. I think this is

297
00:38:58.840 --> 00:39:06.429
WH11NE- Sunrise: what we've checked internally is also the case. What we running here is really low set, because there is

298
00:39:06.650 --> 00:39:28.750
WH11NE- Sunrise: using direct simulation to get the branching region of 10 to minus 5. So and then we put place a high android cuts to to get rid of the that cuts down statistics and also around is working on getting new private samples

299
00:39:29.190 --> 00:39:44.850
WH11NE- Sunrise: hopefully better simulators. It means there's also a physics reason? Right? This it's a b mass is basically, it's something on your face-face. If you is that coming into play? No, I think it does take that into account.

300
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WH11NE- Sunrise: Okay, thank you. Steve has some answer as well.

301
00:39:51.680 --> 00:39:57.259
Stephen Mrenna: Hi, yeah, I I don't wanna be on this. How? How does your limit change? If 5 goes to Kk.

302
00:40:00.250 --> 00:40:02.759
WH11NE- Sunrise: When the file goes to kick in.

303
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Stephen Mrenna: Yes, if if 5 doesn't go to pi pi, if it goes to Kk.

304
00:40:10.009 --> 00:40:10.869
WH11NE- Sunrise: I guess.

305
00:40:11.660 --> 00:40:18.070
WH11NE- Sunrise: Well, we we don't, we don't. Well, we didn't measure the we didn't consider that the.

306
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WH11NE- Sunrise: And then consider the application of Yeah.

307
00:40:22.340 --> 00:40:26.340
Stephen Mrenna: Do you? Do you think your analysis is is going to depend upon the mass of the tracks or.

308
00:40:28.010 --> 00:40:31.229
WH11NE- Sunrise: Pretty much. No, yeah.

309
00:40:31.940 --> 00:40:36.439
Stephen Mrenna: It. Just if if you're sitting at one gev, and if it's anything like.

310
00:40:36.980 --> 00:40:43.550
Stephen Mrenna: you know, A. A. Qcd. And you have some, it's gonna see the file, the the the Qcd file

311
00:40:44.800 --> 00:40:48.354
Stephen Mrenna: which decays. Dek, so so if you look at the

312
00:40:50.244 --> 00:40:57.479
Stephen Mrenna: the meson probability as a function of mass around one gev. That that Phi is going to go mainly to Kk.

313
00:41:01.550 --> 00:41:02.730
Stephen Mrenna: Instead of pipeline.

314
00:41:03.090 --> 00:41:05.139
Stephen Mrenna: But I don't think it changes your limit, but.

315
00:41:09.530 --> 00:41:16.429
WH11NE- Sunrise: Yeah, I I think they're not reconstructing it right? Because it. This is this, the decay happens in the in the

316
00:41:16.780 --> 00:41:18.349
WH11NE- Sunrise: neuron system. Right?

317
00:41:18.530 --> 00:41:20.979
WH11NE- Sunrise: Right? So it's it's not that they have a track

318
00:41:21.320 --> 00:41:32.360
WH11NE- Sunrise: or K or pi, it's it's called pi to say there's a signal, I think. But yeah, awesome.

319
00:41:33.990 --> 00:41:43.609
Stephen Mrenna: As you go up in mass. It's gonna you know. It'll probably decay to rho pi or Rho or something, and you're gonna get, then distribute. You'll have more electromagnetic energy.

320
00:41:46.080 --> 00:41:49.140
WH11NE- Sunrise: Oh, you say, for looking at the the Monte Carlo itself?

321
00:41:49.850 --> 00:41:51.850
WH11NE- Sunrise: Yeah, not the signature.

322
00:41:52.060 --> 00:41:53.250
Stephen Mrenna: For the signature. Yes.

323
00:41:53.250 --> 00:41:53.850
WH11NE- Sunrise: Yeah.

324
00:41:53.990 --> 00:41:58.250
Stephen Mrenna: You as you go up in mass, you you expect this fire to decay. Something like.

325
00:41:58.490 --> 00:42:01.147
Stephen Mrenna: you know, standard model corks coupled to to

326
00:42:02.840 --> 00:42:05.089
Stephen Mrenna: to a strong to the Qcd acceptance.

327
00:42:06.650 --> 00:42:09.340
Stephen Mrenna: So so it should decay in a standard model, like way.

328
00:42:10.190 --> 00:42:28.229
WH11NE- Sunrise: Yeah. So in search, we simply assume the 100% branching ratio for the final state. At some point we would like to have a more realistic branching ratio of how these 5 would go what we're going to in the

329
00:42:28.460 --> 00:42:34.099
WH11NE- Sunrise: different. As as you pointed out, the mass of the 5 differs.

330
00:42:34.150 --> 00:42:53.909
WH11NE- Sunrise: But I think the power of this search really comes from the fact that it doesn't really matter what the Hadrons indicates into. I don't expect the limit to change if it's 100% to Kk or pi pi, because that's what we've seen in the previous analysis, because the Hadron will create a shower

331
00:42:53.910 --> 00:43:05.790
WH11NE- Sunrise: as long as it creates enough showers not. It's not just a couple of tracks. It only matters if you if you have sufficient em or electronic energy.

332
00:43:06.020 --> 00:43:22.139
WH11NE- Sunrise: So we are also working on 5 to 5 plus pi, 0 5 0, which will be predominantly managing. So those will be weaker because the steel stop more em shower than hydronic ones.

333
00:43:22.280 --> 00:43:32.065
WH11NE- Sunrise: but other than that it will. I would expect the the search will still be sensitive to a different demo.

334
00:43:33.270 --> 00:43:33.740
Stephen Mrenna: I agree.

335
00:43:33.740 --> 00:43:39.139
WH11NE- Sunrise: Harder to harder to assimilate all the branching ratio as a function of mass.

336
00:43:39.140 --> 00:43:42.720
Stephen Mrenna: Right. I I agree with you 100, but I think we want to make that

337
00:43:42.940 --> 00:43:45.260
Stephen Mrenna: be able to make that independent statement

338
00:43:46.170 --> 00:43:47.689
Stephen Mrenna: because it to me. It looks bad

339
00:43:48.020 --> 00:43:53.070
Stephen Mrenna: that you're you're you're assuming something that isn't what you expect.

340
00:43:55.200 --> 00:43:58.540
WH11NE- Sunrise: Oh, you mean the mass dependency in the- in the limit.

341
00:43:59.080 --> 00:44:02.500
Stephen Mrenna: Or just the defy 3 Gv. Would decay. Main.

342
00:44:03.092 --> 00:44:07.239
WH11NE- Sunrise: Is an odd assumption that you're saying.

343
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Stephen Mrenna: Yeah, that's all.

344
00:44:08.320 --> 00:44:10.810
WH11NE- Sunrise: Okay, okay. I'll take it.

345
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Stephen Mrenna: Yeah, I don't. I don't want you to get grief. I think

346
00:44:13.860 --> 00:44:19.439
Stephen Mrenna: I think the limits robust. I think it's a great analysis. I'm sorry I usually start off by saying those sort of things. I apologize. This is, Thank you.

347
00:44:19.975 --> 00:44:25.870
WH11NE- Sunrise: We did not have that intuition built it. But yeah.

348
00:44:28.990 --> 00:44:29.729
WH11NE- Sunrise: thank you.

349
00:44:30.690 --> 00:44:44.399
WH11NE- Sunrise: So I had a question about the the events that you observe, since they're only 181. Did you actually look at all of them like one by one, because this is like close to when when you do some.

350
00:44:44.850 --> 00:44:50.230
WH11NE- Sunrise: you know, search, or whatever, and the number is in depends.

351
00:44:50.500 --> 00:45:05.319
WH11NE- Sunrise: You really tempted? I'm gonna look at each of them and understand it. You know. I tried to see if I did matches my irreducible background. I expected. What? What is over there on the other side? Besides, whatever you cut right, just did you do any of this

352
00:45:05.600 --> 00:45:12.890
WH11NE- Sunrise: exploration of event displays? No, no, we haven't. Let me check that.

353
00:45:13.050 --> 00:45:14.769
WH11NE- Sunrise: Okay, one by one.

354
00:45:18.630 --> 00:45:26.690
WH11NE- Sunrise: I also was confused. I didn't want to stop you as something that is really a detail, I guess. But it was a lot earlier, like a slide 11 or something

355
00:45:27.257 --> 00:45:50.950
WH11NE- Sunrise: when you mentioned the something about the bee parking data set saying, Purity, yeah, at the very bottom said, you know, purity of 70 to 80% of the data set was cheap. What does it mean? Purity purity means that in the collected data, in 70 to 80%

356
00:45:51.050 --> 00:45:58.530
WH11NE- Sunrise: of the events actually could contain 2 emails I see.

357
00:46:00.450 --> 00:46:01.343
WH11NE- Sunrise: Accepted, too.

358
00:46:07.610 --> 00:46:11.170
WH11NE- Sunrise: Is this trigger also present in 1 3?

359
00:46:12.060 --> 00:46:14.359
WH11NE- Sunrise: Oh, it's so much.

360
00:46:16.540 --> 00:46:17.360
WH11NE- Sunrise: Yeah.

361
00:46:18.250 --> 00:46:33.030
WH11NE- Sunrise: And like, do you have an idea how this result will improve the main difference from run 2 to run 3. For this is the run. 2. It's only 2018, the 2018 one, a single muon based seat

362
00:46:33.200 --> 00:46:45.404
WH11NE- Sunrise: in run 3 until 2024. This is replaced with and dialectron, I mean dielectron seeds. It's not exactly single neon, but it's mostly hoping to catch

363
00:46:46.080 --> 00:46:52.270
WH11NE- Sunrise: A beam is on deaking to 2 muons within an eta range of like 1.6

364
00:46:52.530 --> 00:47:00.249
WH11NE- Sunrise: for if you're looking for any bdk's and stuff, it's still quite a bit efficient. And

365
00:47:01.166 --> 00:47:21.440
WH11NE- Sunrise: yeah, and there's a lot more data collected. Yeah. But if you have, I don't know. We haven't thought about repeating this with one free parking, because if you have time to monitor you, you already use the 2 sides and prop and tab, and we really the signal comes from the prop side, where you have only a jet and not new one.

366
00:47:21.580 --> 00:47:26.690
WH11NE- Sunrise: the some Lpdk longer into the immune system.

367
00:47:26.860 --> 00:47:38.119
WH11NE- Sunrise: But sync, yeah, it's not trivial to just use the diving on parking.

368
00:47:38.470 --> 00:47:40.549
WH11NE- Sunrise: and there's no muon on that side.

369
00:47:41.290 --> 00:47:45.060
WH11NE- Sunrise: So you really need the unbiased row.

370
00:47:49.240 --> 00:47:57.049
WH11NE- Sunrise: I also had another question on slide. I think it was 22, or 23, but anyway, so in general it's just about

371
00:47:57.220 --> 00:48:17.329
WH11NE- Sunrise: the choice, for the cuts, say the Delta phi between the cluster and the mu, for example, right? That it was like 2.2. Is it just from, you know like these, because I I had that sorry when you were talking about this. I was just looking somewhere somewhere. So it just comes from this distribution there on top that.

372
00:48:17.510 --> 00:48:29.170
WH11NE- Sunrise: So so, as I, as I said initially, so, the initial focus was to get as much signal over by ground ratio as we can, but

373
00:48:29.340 --> 00:48:38.439
WH11NE- Sunrise: but but that- that- that is observed when the cuts are very tight and we're just running out of that. So so we have.

374
00:48:38.700 --> 00:48:46.049
WH11NE- Sunrise: So we decided to tune the parameters so we can get as as much as possible.

375
00:48:46.930 --> 00:48:52.069
WH11NE- Sunrise: So I think the yeah. So we did several trials.

376
00:48:52.390 --> 00:48:58.319
WH11NE- Sunrise: We- we tried several pairs of the cuts, and yes, and we end up- ended up in these ones.

377
00:49:06.480 --> 00:49:11.429
WH11NE- Sunrise: And is there any measurement of the the in the analysis, or or do you

378
00:49:11.930 --> 00:49:15.350
WH11NE- Sunrise: need at all to look at the measuring which both

379
00:49:15.630 --> 00:49:21.999
WH11NE- Sunrise: masons are, you know, like Standard Mouse instead of the Phi into I. But you know not long lived. But

380
00:49:22.140 --> 00:49:25.339
WH11NE- Sunrise: you get the 2 J size.

381
00:49:26.190 --> 00:49:36.030
WH11NE- Sunrise: Yeah, right? Do you? Do you even care at all about like that to be a denominator of something or or of

382
00:49:38.070 --> 00:49:50.017
WH11NE- Sunrise: right because it. That's I don't know. Like if you I guess that it doesn't really help. I mean the branching ratio that limit that we set for Long live is 10 to minus 5. So

383
00:49:50.680 --> 00:49:52.880
WH11NE- Sunrise: I think there, there are rooms

384
00:49:53.220 --> 00:50:02.349
WH11NE- Sunrise: for for these such decades. Ju-just by looking at pure ratios. I think those are still allowed.

385
00:50:03.310 --> 00:50:06.090
WH11NE- Sunrise: or it's ready case to happen absolutely.

386
00:50:14.930 --> 00:50:29.780
WH11NE- Sunrise: I had a reality on the clustering that you described at the beginning. How, if understood correctly, you must have some seed to which you are the other particles.

387
00:50:30.230 --> 00:50:37.205
WH11NE- Sunrise: How do you? So? What? How do you start the cluster? So the clustering starts.

388
00:50:38.400 --> 00:50:40.680
WH11NE- Sunrise: so there is a 3.rd

389
00:50:40.980 --> 00:50:43.609
WH11NE- Sunrise: So it starts from the

390
00:50:44.920 --> 00:50:53.960
WH11NE- Sunrise: from what- what I mean. You can't start from a from a random one and start looking over the others, and

391
00:50:54.130 --> 00:51:06.679
WH11NE- Sunrise: yes, by simply applying the this calculating business from it and checking if it if it's within the given business parameter.

392
00:51:06.940 --> 00:51:13.930
WH11NE- Sunrise: It is considered to be in that cluster that though

393
00:51:14.210 --> 00:51:18.340
WH11NE- Sunrise: the way the way it's evolving.

394
00:51:20.550 --> 00:51:31.130
WH11NE- Sunrise: yeah, apologize like it's either the mean or the-, the- the last of the the last development that is being added to the cluster. It's

395
00:51:32.760 --> 00:51:33.840
WH11NE- Sunrise: refresh token

396
00:51:34.240 --> 00:51:47.969
WH11NE- Sunrise: to say. But yeah, if I can add some more details. So it's like this is A, that's the base microphone. So it doesn't really matter where you started. It's the configuration.

397
00:51:48.300 --> 00:51:56.569
WH11NE- Sunrise: You can start at any point, and then you reach the same stuff. It's really it's really trying to capture the over density

398
00:51:56.740 --> 00:52:03.310
WH11NE- Sunrise: right? So you start from one and then start adding, and it will move to where there are more point.

399
00:52:03.630 --> 00:52:15.919
WH11NE- Sunrise: No, it's basically. So you start from any point, and you draw the circle and see which are, is it to classify if it's call point a noise point or boundary point. And then

400
00:52:16.070 --> 00:52:24.809
WH11NE- Sunrise: from that is a basically global. So if you can, you zoom over all the points and and try to custom.

401
00:52:24.950 --> 00:52:28.619
WH11NE- Sunrise: If you draw this, draw the circle on each point, and then you will see

402
00:52:28.890 --> 00:52:44.909
WH11NE- Sunrise: where you can decide on how many cups have been done in the whole thing. It doesn't matter how you where, which one you start from. Unlike jet algo phone, where you have a physical picture of. Yeah.

403
00:52:46.800 --> 00:52:52.040
WH11NE- Sunrise: don't need that fancy, but it didn't work. Yeah, thank you.

404
00:52:53.490 --> 00:52:56.340
WH11NE- Sunrise: Do we have more questions?

405
00:52:57.510 --> 00:52:59.952
WH11NE- Sunrise: If not, we can. It's like.

