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Okay, so Hi everyone. My name is Mater
Zaretsky. And on behalf of Atlas and CMS,

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I would like to give you an overview of
the soft Susy searches at Atlas and CMS.

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So, as we all know, wide regions of Suzy
parameter space have been excluded with

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recent Etsy results, and this is putting
natural Suzy under extreme pressure. So on

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the left here we have a summary exclusion
limit for regional neutralino production

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by Atlas. And on the right you have just
an example the stop production limits from

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CMS. So as you heard in the previous two
talks, and many of these regions were

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covered in the previous two talks by
Carlos and mark and highlighted here in

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both plots See that there are several
crevices of parameter space which are so

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uncovered. And this talk focuses on soft
Susy searches with very compressed mass

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spectrum. So this is where the delta
between the initial and final particles is

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very small. And I think there's these
plots also show and hopefully my

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presentation shows that there's a
significant effort both at Atlas and CMS

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focusing on this region. So, so why self
Susie? So natural Suzy requires relatively

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light stops extraneous and gluey knows the
small mass splittings can reproduce the

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correct cosmological Dark Matter abundance
and this is via the process of coagulation

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of neutrinos and light stops, or charge,
dinos and also soft products give access

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to compressed electronic Susy models. So
even though there are lower cross sections

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for electric electrically Kino production
with respect to strong production, With

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with going lower and pts, we can have
access to these models. So light Exynos.

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And electric models also provide a window
to natural Susy. But you've heard some of

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the details and Carlos system already. So,
so in these kinds of scenarios where the

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mass splitting is very small, there's
little available energy. So the final

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states are very soft and there's low math.
So, as for example, here on the top right

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plot, you can see the leptin PT spectrum
and the signal for delta m of 10. You can

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see how fast how fast it drops. And
typically these these these are missed

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these regions are missed by classical
searches which require high met and or

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lepton pts. So there's a lot of
inefficiency also for object three

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Construction at very low pities and
typically visible decay products not as

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the acceptance thresholds. So for these
types of searches we require low threshold

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triggers and accurate reconstruction.
However, what most of these searches for

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this characteristic of most of these
searches is that we require initial state

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radiation. So this is typically a clue and
dread originating from Parton's. So, this

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boosts the signal vertex and the visible
decay products become detectable. So, the

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typical signature these searches and the
very compressed regions is a heartbreaker

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is our jet. Therefore, the math is boosted
So, there's moderate math and then we

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still have soft leptons and or jets.
Sunday searches leptons go down to several

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jeebies and many analysis actually, but
veto B tech threats, which are not

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expected which are too soft to be
detected. And in terms of I saw some

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analysis Try some more sophisticated
methods and try to tack the ice or jet. So

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for example and all hydronic Susy search,
I started jets attack using large radius

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capturing fluids undergoing splitting. So
now I'd like to give you an overview of

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the different searches, sub searches, with
a focus on the most recent results. So

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starting with self multi leptons, so for
self leptons, there are two searches,

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their searches an Atlas and CMS, so
requiring to self opposites and leptons.

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So in Atlas search, they're required to
same flavor lepton pairs in two different

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channels, one the electronic channel and
one with one lepton and one track and

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this search has three main signal regions
targeting electrode Kynos slept on and vbf

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production On the right on the plot on the
top right, you can see one of the

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discriminating variables they use is the
invariant mass of the two leptons. And you

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can see that for different for different
models, and you can see that it has a

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kinematic endpoint.

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It has a kinematic edge.

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Then for for the suzay search. It's it's
quite similar. However, it requires same

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or different flavor pairs. And also not
only considers electro Kino, but also stop

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selections in the signal region building
is done in terms of

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the environment.

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And one interesting point here on the
right, is that this search has a dedicated

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time one plus ATMs sugar. So So here's the

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trigger turn on of this of this particular
trigger.

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And it's it's used to access lower math
regions to increase the sensitive

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sensitivity for very small delta AMS. So
just a comment that searches a foreign

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two, whereas the bottom one is the US in
2016 data. So focusing on Atlas result,

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which is my most recent so you've
definitely heard about already in the

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previous talks as well about the recursive
fixer reconstruction. So in terms of

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these, these searches, it focuses on it
splits the event into an ASR part and a

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Suzy part. And the variables that are used
are quantifying the ice or recall so the

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ratio of Matt and the beauty of the ASR
system and also the transverse mass of the

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Suzy system. So this is one of one of the
variables that's used in the beginning.

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Then also it uses the environment is ready
I mentioned but as well as transverse mass

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and and other discriminating variables.
So, S R is this electrical Kino signal

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region it has format region and it does
bending in the variables that I mentioned

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on the on the plot you can see that the
red line signifies where the signal region

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is above the red line is where where the
signal regions are. So, so, the analysis

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set set limits on on different models, so,
for example charging or neutrino

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production So, in terms of the winner
Urbino, you can see the top is or the

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Atlas the bottom line the CMS results so,
excluding up to around and traditional

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masses around 250 gV similar for the Higgs
see no assumption exploring around to

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Hundred GB and comment for the CMS search
there's also an interpretation in the hex

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you know pm SSM, which you see on the
bottom left.

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One of the variables that's

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that's used very, very commonly is the
transverse mass constructed from lead,

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leptin, PT and Matt. And this provides a
kinematic edge around the mass of the W

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boson which is used very frequently in
many electronic searches. And an

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interesting variable used in the in the
Atlas search is transverse mass, which is

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essentially transverse mass adapted to the
leptons were 111 set hypothesis mass of

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the LSP which which sets a kinematic edge.
So at the bottom you see a similar plot

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with the signal region targeting at slept
on the slept on model and you can see

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again the division between the Sydney
region and here it's been in terms of Also

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the r is r which is the recursive tricks
of reconstruction. So here are the results

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for the slept and production. So here
slept and excluded roughly around 250 gb

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for the Atlas search and now in terms of
multi leptons This is a very new result

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which which was also mentioned in Carlos
his talk. Here I would like to present you

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the optional region, signal region and in
the search. So there's this obstacle WC

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selection, targeting compress scenarios.
So here, the primary discriminants are the

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M L L men so it looks for the minimum
environments between the three leptons and

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there's also kinematic edge present in
these in these regions which provide a

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discriminating variable. So on the The
bottom right you see the limit set by this

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the search on the on the Neutrogena
neutrino masses. So it goes up to or above

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300 gV and in the very compressed region
to around 200. So it's complimentary with

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the softer lepton results. And also what's
interesting here that additionally the

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line the blue line represent constraints
calculated and The Beano window

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calculation Dark Matter scenario where
where the relic density is less than or

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equal to the observed value. And now
moving on to slightly different types of

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compressed searches, so compressed vbf. So
in the dialects and search one of the

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signal region actually is also targeting
the BBF production. So here it uses a very

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similar rate. of drugs or reconstruction
variable but instead of using Asr, it uses

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the vbf treads

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as the discriminant.

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Also, it's it's been in terms of the vbf
or vbf. And and the environment mass and

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again, you see the split for the between
the signal region and come parallel to

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this one, but a bit different is the CMS
vbf search. So it's a search in the in the

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One Laptop and zero laptop region. So,
this is even though the models considered

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to have several leptons, it's difficult to
reconstruction and identify leptons, so

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they either veto or require one soft
lepton. And so here are the results for

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the compress vbf search on the top is vbf
the off shoulder B and C will be no

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models. So here you have the comparison of
the limits. On the bottom you have the

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results of the CMS search and the lights
slept on the model which which is also

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considered by the search. And an
interesting fact is that the models go

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down to delta of one GB which is just very
small. And other searches of self Tao. So

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this was already touched upon also and
goddesses search so it's first search of a

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self to dramatically the cantel. So here
the delta m, astound you tree knows less

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than or equal to 50 gV. Here also relies
on ASR to target this kind of model. The

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beauty of the hydronic towel is between 20
and 40, gv and the signal region bending

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which you can see on the bottom right plot
is done in terms of the empty between the

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Met and the anatel. And here the limits
are set in terms of charging or neutralino

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and and stop production. And here it's
here it's assumed for delta and between

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the Trojan on neutralino 50 gb and
exclusion is around around three below 300

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Pv so two universes below 300 gb and now
moving to compress stop searches so as you

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can see the list is quite long. And here
is the face base of the different decay

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modes and they're classified in terms of W
decay mode and classical searches which

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you have already heard about and Mark
stock and I'll focus on the compressed

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face space. So here you have For Bodhi the
case to genome mediated the case and also

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time the case which are

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of CNC.

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So, one thing for the soft searches is
that these use of P tagging techniques,

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which were also mentioned already. So,
there are different algorithms use at CMS

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and Atlas. So, at CMS, there's an
inclusive vertex Finder. Whereas in Atlas

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there's this track base loop with the
vertex tiger. But essentially, they do

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very similar things. So they they
reconstruct jets from tracks and they

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indentify also secondary vertices without
the presence of a threat. So these were

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these searches were covered in marks 30
generation talk, but who the interesting

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thing is that here in the very compressed
scenario They require Asr, and they use

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the SOF p tag and text techniques for very
small times. So this is in the sentencing

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electronic channel, and there's all
hydronic channel, which is very similar,

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they also use of p tag but in Atlas
search, they also make use of the

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recursive tricks are reconstruction. So
there is a lot of other searches which I

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don't have the time to cover in this talk.
There's a for body decay, which was done

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in current count and VA. And there's time
decay and there's also other results from

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the softer leptons and soft and all
hydronic channels and Trojan are mediated

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okay. So just just quickly about potential
improvements or things that already used

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but but we should carry on using so we
know that the only increased integrated

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luminosity is not expected to bring large
gains and sensitivity. So on the top right

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Here you have, you have a projection of
the soft electron with 3000 inverse

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Pentagon. So you can see, if you compare
it to the existing limits, the gain is

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significant, but, I mean, I leave it for
everyone to judge themselves.

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I really have to stop you because we don't
have so much time we only have one. Okay,

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then I'll just go to my go to my
conclusion slide, which is just for

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reference, if that's fine, but just to
mention, there are different techniques

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use and we could also use the dedicated
cross triggers, which were developed, as

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we see in bottom plot. And yeah, so So,
bottom line, we need to take advantage of

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innovative methods to really push to the
limits of detection, analysis and theory.

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Thank you very much.

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Sorry for going over.

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That's okay. We have time for one quick
question.

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So Any questions anyone?

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So this is Jen, can I ask? Those are the
soft laptop of yes searches for stops for

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instance, does the manager search play any
role in this plan? I remember the use of a

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rose some coverage in an O data about why
we don't have it anymore in this new

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coverage summary.

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I think I mean, the techniques are very
similar. But I mean, requiring this this

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this hibbity jet, but I cannot say I'm not
sure I cannot speak for the analysis team

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exactly why, or, or how it translates onto
the onto these regions.

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I it's for Derek again. You will just have
to wait a little bit but it's in the plans

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during Turpan demo jet, or well to
interpret the updated fuller and to

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monitor theme to this kind of

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I see Thank you.

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Okay, thank you. Do we have any more
questions?

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All right, so then