Thank you very much, then I just thought so, I'm going to talk about the
measurements with Alice, mostly substructure, that cone and challenges.
And
in this talk, I will cover
groups groom the jet substructure measurements of the jet of the dead code
and Diem as long as in jets as well as longer seen jets. So, this way we can gain
some understanding on what tests any more than that we have against the results. We
can also test centralization and have a look at flavor dependent production and
fragmentation. And of course, as peak results, they serve as these nine for the
heavy ion results which we have also very nicely results. Unfortunately, I cannot
cover them in this talk.
So, in Allis, we
identify jets in two ways. First we just measure charged particle jets that means
that we collect all the charged particles corresponding to one jet in the time
projection chamber and building a tracking system. And this is good because it has a
large, larger acceptance. So full azimuth coverage, and also it's somewhat easier
experimentally. On the other hand, it's still this is the neutral particles. So,
for that we extend our charges measurements to four jets with the use of
the electromagnetic calorimeter. Of course, this allows for direct theory
competition on the other hand, it limits the acceptance and it makes the
measurement technically more challenging as forehead flavor, we mostly identify
them in the inner tracking system, which is a silicone tracker detector system. And
it's very fine resolution makes it possible to find heavy flavor with the
secondary vertex timing algorithms. So the first topic is the jet substructure via
grooming. And this way we want to access the hot bottom structure of the jets and
want to basically get rid of all the underlying events and centralization. That
is also cluster IDs into a chat. So, this way we can directly compare the results to
QC calculations. What we use is softer grooming, which aims to remove large NGOs
software creation and what we do is to request it to chat with the Cambridge an
algorithm that is an Angular ordered algorithm, so most more or less follows
the development of the chat. And then interactively remove the sub branches that
don't fulfill the so called sub drop condition. That is a minimum criterion on
the, on the softer from over splitting. And there's also there's a general an
overall cart value this the cart and there's also a parameter beta which which
determines the angle of the splitting. So basically, how much of the source code in
irradiation is removed from the jet and that's for variables we go for the
substructure variable z, which is basically the the momentum friction taken
away by the subletting process. And then the groom drave uses Sita g which is
proportional to the angle between the leading assembling prom and then we count
the number of soft rock splittings this recall NSD So, the number of splittings
there the soft rock conditions for yield the first results I show is Fuji x
momentum fraction in PP collisions and this is in three momentum windows and in
the lowest momentum window you can see and hear the different colored colors
correspond to different jet radiate or resolution parameters. And on the left
most books solo or momenta, you can see that the jet structure slightly depends on
the on the resolution parameter, especially at low CG values. On the other
hand towards high PT, there is basically no dependence on that. This is easily
understandable because like at high PE teachers are more committed. So, they are
more contained even in the smaller resolution parameter chess.
This next result is softer blooming
over charged jets and here we tune the beta parameters. So, that is the
angularity condition. And what we see is that there is a rather slight dependence
on the beta beta whether depending on which momentum window we are looking at.
Nothing very harsh here, and the transaction or lyric fixes by Ctr. On the
other hand, if we go to the difference for iva, theta G, then
we can see that they
structure changes a lot in theater Gina changes the beta parameters. So, the
different colors correspond to different sheet shapes in TTG This is especially
apparent in the high PT window to the right side. So, this provides a very nice
differential possibility to to explore the contributions from different parts and he
can have many stages just running smoother comparisons. Then coming to the heavy
flavor results, first one I would like to show is the dead code. So if we consider a
radiator that is massive, then radiations towards small angles, forward emission
will be suppressed. And this way, we can see a deflated cornice and that cone if
the radiator is a is a heavy question work. So this was done in lab in actually
adapted in a indirect measurement where they look for jet fragments in different
angles from the jet axis and the show of the heavy and lastly her jets beauty to
you the escorts here and one can see that towards small angles to the left side of
the plot, there is a depletion actually, but this was of course in a low low
background environment in a plus t minus collisions. So, this indirect way doesn't
work in PvP. So, but is done analysis actually is the following that we use a
sequence for the clustering and the re clustering similar to the sort of methods
we take all this free things and put it into the plain, this is where one of the
variables This is an Angular variable, actually the low angles are on the right
side and the and the large angles are on the left side. The other however, is the
momentum scale of the splitting. And here already one can see that the team has on
the left side are a little bit different than the inclusive sorry, the digits on
the left side and a little bit different from the inclusive checks on the right
side. And of course, there is hydronic contamination hasn't been the case and
background, but most of the background can be get written off by applying just the
condition in the in the momentum scale Kp so this is what was done with different
Katie cuts. And then what is done the analysis just to the divide these two
plots and make a projection to the angular burrito. And here it is. What you see here
on any of the plots is detect so inclusive ratios. And for large angles, that is the
the low value, low values of the x axes. There is one, there is basically no
difference between between heavy flavor and lifeless objects. On the other hand,
there's a noticeable decrease towards small angles towards the right side of the
plots. And also depending on how strong Katie Katie choose. The difference is
getting bigger with a stricter Katie cots. Those two plots correspond to do two
different energy ranges of the radiator particle. So this is the first measurement
that was direct and showed us that that Koenigsegg TPP Coalition's. Here you can
see model compare and model comparison with PTO sticks and generally, at least
qualitatively, the PTO describes the data. So then going to Chad project production
with the Jets, these are the cross sections of the zero jets in different
collision energies. And here we just defined the jet as a jet. Where between
the DEF CON there is a demand zone. And what you can see here on the middle plot
70 is that PTR doesn't do really well. description of the of the years boom
hacker does a better job, but the match is only marginal at lower pts.
So there's still room for model development. Here you can see the chat
fragmentation z parallel, actually by Charlie have a little bit an easier way to
find the jet segmentation. Of course, it's this is not a complete, just threat
substructure measurement, but just finally, the D measurement, having a look
at how much or how much of the momentum it takes a we can already figure out
something about the fragmentation. So, this is the sequela. And what we can see
here is on the left side, you can see a plot at low jet momentum, the right side
the type of momentum, and we can see that the Jets are the fragmentation is getting
harder towards localities and software at high PCs. But one can already notice that
the calculations from a plus pedia has have a trouble describing below PT shapes.
So I, then I'm putting side by side. The beam as always, we'd love to see love to
see is a Shan barrio. And generally one can see very similar trends to the demand
zones. Of course the momentum range is a little bit different. And it's also
noticeable that models are struggling to describe this just structural measure
except for maybe PTA to soft UCB, which
provides a good description at least within the errors, but the errors are
rather large. And it already shows that in round three, it will be a great
opportunity for us to explore the body on aneurysm fragmentation functions. Much
better than what he had to walk us three more minutes. Thank you. So, finally, we
have a very new measurement of digit substructure where actually the
substructure is reconstructed with the same sort of our demo, including jets. And
I'm just fleshing these three plots for three different substructure variables.
And I would like to push to this rightmost plot the NSD number of soft rock
splittings because there there is a very significant difference between the
inclusive and the rejects, sort of splitting numbers. So, we see that there
is much harder fragmentation of heavy flavor than the inclusive the Jets. Of
course, in this The Mass Effects as well as the coral charge effects can play a
role. And one is a detailed model comparisons to figure out what exactly is
the physics behind that. And you can hear more details about that on next week's
conference. And also there will be analysis public notes out very soon,
probably in a matter of hours or maybe a couple of days. So, I came to my summary,
I just presented just structure substructure measurements, we disrupt drug
grooming MPP collisions from the collaboration and challenge at
measurements MPP collisions include first measurement, direct measurement of the
death cone effect and be zero as well as long to see for elemental fracture And the
new measure mental the budget substructure. And this will serve as a
great opportunity to explore the contributions of, of different pq CPS so
hesitant ization effects and also to to understand flavor dependent fragmentation.
So, just please stay tuned for new great research very soon and thank you very much
for your attention.
Thank you very much, Robert. For this, which results I'm sure there are some
questions
no questions
Yeah, I actually have a small question about these LG measurements. Let me
clarify which slide VISAGIE measurements a function of PT. The question is do you
understand the small PT dependence for small radio? I'm not sure I see exactly
where this is coming from.
You in this one?
Yes, this one. What
is that? In case of?
Is it okay? So basically if you go to, to smaller radio then
Then what you see is that
the Jets
can pick up much more of the net known for two things, I think, sorry, I said larger
API, it can pick up much more parts. And I think that there's a sensitivity to that.
Yeah.
I'm okay with this.
Other questions?
No. Then let's thank Robert again
and we move on to the next talk.