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  • From: Nihar Sahoo <nihar AT rcf.rhic.bnl.gov>
  • To: Youqi Song <youqi.song AT yale.edu>
  • Cc: STAR HardProbes PWG <star-hp-l AT lists.bnl.gov>
  • Subject: Re: [Star-hp-l] STAR presentation by Youqi Song for Hot Quarks 2022 submitted for review
  • Date: Thu, 06 Oct 2022 11:02:25 +0530

Hello Youqi,

Thank you for your answering my queries.
I don't have any further comments. It is good to see your analysis results with STAR preliminary.

I sign off.


Cheers
Nihar


On 2022-10-06 02:05, Youqi Song wrote:
Hi Nihar, Yi and Barbara,

I implemented your suggestions in the updated slides:
https://drupal.star.bnl.gov/STAR/system/files/hq_101522_v4.pdf
I also moved several slides to backup in the interest of time.

Response to Nihar's comments:

I recall we had a discuss on this topic. how to present these small
differences with sys and stat. uncertainties such that within total
uncertainties the closure will validate this method. Overall it
looks
good. May be we can discuss later on this topic.

Just to clarify, for systematic uncertainty of the closure test, it
would just be the difference in closure between the nominal procedure
and for example unfolding with a Herwig prior, correct? I included in
slide 42 (in backup) the closure when unfolding with Herwig mass and
charge weights. I chose to look at the Herwig weight variation for
closure since it is for most cases the largest source of systematic
uncertainty in data. In any case, I moved all the closure test slides
to backup to fit in the 15 min of time, and I think the agreement with
the RooUnfold result is also proof that MultiFold works.

Can you please inform me why do we need these two samples?

For closure test, one sample serves as prior, and the other serves as
pseudodata and truth-level information to be compared with the
unfolded. I think this is the same procedure used for other people's
analyses.

Best,
Youqi

On Tue, Oct 4, 2022 at 7:03 AM Nihar Sahoo <nihar AT rcf.rhic.bnl.gov>
wrote:

Hello Youqi,

Thank you for implementing my suggestion.
Please find my replies inline.

On 2022-10-03 23:08, Youqi Song wrote:
Hi Barbara and Nihar,

Please find my updated slides here
https://drupal.star.bnl.gov/STAR/system/files/hq_1022_v2.pdf

Response to comments (unmentioned ones are already implemented in
the
slides):

- Make sure you are fine in terms of time.

I'm planning to practice these two days, and if I run out of time,
I
will move slides 13-22 to backup. And if that's not enough, I will
also move slide 31 to backup.

_"Data" -> can you please mention what data that is? Do you mean
this is
pp200 Gev run12 data?
_ Please give some information about this "data"?

(Previously on slide 9, now on slide 12). This "data" is
PYTHIA6+GEANT simulation, so I put it in quotation marks. I could
show
these distributions for the actual data, but I assume that would
require me to put in systematic and statistical uncertainties for
all
these observables in, which might not be necessary for the goal of
this slide, which is simply to show that MultiFold is unfolding 6
observables simultaneously and is unbinned. The difference between
the
red and the black is to show the need for unfolding and the effect
of
unfolding.

Then I would not label it "Data". Just say "PYTHIA6+Geant" (it is
understood that is why you need Multifold)
Besides, Can you please mention "p+p sqrt(s) = 200 GeV" outside or
inside the figiures to indicate the collision energy?

Can you say something about this weights? Like where and how do
you
get
this?

(Previously on slide 12, now still on slide 12). These weights are
exactly the output of MultiFold. (Would you like me to elaborate
more
on this?)
It would be good to put a few words there although you can say in
the
presentation.


There are two small plots, not visible at all.
Can you please make it bigger and clear, and mention how it is
related
to your neural network technique?

(Previously on slides 18-19, now still on 18-19). I removed one
of
the plots and made the other one bigger. The choice of these
neural
network activation functions are default from the original
OmniFold
paper.

Good.

_ M>1 GeV/c^2 -> Do you use the same cut for unfolding while
training
simulated from the real data? Or while making response matrix.

(Now on slide 26). I used the same cuts for PYTHIA6+GEANT
simulation.
thanks for clarification.

_ I recall, we had a discussion earlier that we need systematic
uncertainty along with your statistical uncertainty for these
plots
in
order to validate this closure. Any progress in that direction.

_ For your jet pT case, there is a difference at some bins, I
think
if

you use your systematic uncertainties then it would be
consistent.
Any

comment?

(Previously on slide 27, now on slide 29). I don't think this was
brought up before for my analysis. Maybe it was for Monika's? The
difference in pT here is mostly because the normalization is done
per
jet, not per event as what's usually done for pT, so a small
deviation
at the low pT bin will cause a large deviation in the opposite
direction at high pT.

I recall we had a discuss on this topic. how to present these small
differences with sys and stat. uncertainties such that within total
uncertainties the closure will validate this method. Overall it
looks
good. May be we can discuss later on this topic.


_"embedding jets into 2 statistically independent samples " ->
what
are
those 2 statistical ind. samples? Need some explanation.

I added slides 27-28 to clarify this. The statistically
independent
samples are drawn randomly from matched jet pairs from PYTHIA and
embedding.

Can you please inform me why do we need these two samples?

_Be prepared for it if somebody ask any comment on systematic
uncertainty comparison between two unfolding methods. Can you
please
mention here what would be your answer?

I would say that the systematic uncertainty is roughly the same
between RooUnfold and MultiFold, just by eyeballing the error band
sizes on slide 30.
Good.

_I think it is important to show right plot with "STAR
preliminary".

(Now on slide 31). I also put the figure here:


https://drupal.star.bnl.gov/STAR/system/files/20_25_all_err2_0925.pdf

_"Wider jets tend to have lower |Q|" -> how do you get this
conclusion?

Since I used a track-pT-weighted definition of jet charge, a high
pT
track will tend to make jet |Q| larger. And if a track has a high
pT
within a jet, it is likely to be in roughly the same direction as
the
jet, so the jet is more likely to be collimated, so collimated
jets
tend to have large |Q| and wider jets tend to have lower |Q|.

OK, then you need to use followings.
In this slide:
"... increasing pT" -> "increasing jet pT"

Here you need to mention " jet pT" and "constituent pT of a jet" in
this
slide.

_ "Different fragmentation patter" -> do you mean it is because
of
their
different jet Mass?

(Now on slide 33). I meant that it's because of both their jet
mass
and charge. I think jet charge also relates to fragmentation since
it
contains information about the track pT's.

OK.

Thank you
Nihar

Best,
Youqi

On Sun, Oct 2, 2022 at 2:01 PM Youqi Song <youqi.song AT yale.edu>
wrote:

Hi Barbara and Nihar,

Thanks for the suggestions! I will respond to the comments and
update a new version of slides by tomorrow. Nihar, since you
suggest
that I show the uncertainty plot as a preliminary figure, I
remade
it and attached it to this email. Please let me know if you have
any
comments for this figure.

Best,
Youqi

On Sun, Oct 2, 2022 at 10:17 AM Nihar Sahoo via Star-hp-l
<star-hp-l AT lists.bnl.gov> wrote:

Hello Youqi,

Please find my comments on your nice presentation slides!

Slide4-5:
"Jet substructure measurements tell us …" -> "Jet substructure
measurements can tell us …"
(It can tell us something related to frag. and hadronization,
but
not
definitely)

Slide8:
_Iterative Bayesian Unfolding (please give reference)
_"but this is this is the …" -> "but this is the …"

Slide9:
_"Data" -> can you please mention what data that is? Do you mean
this is
pp200 Gev run12 data?
_ Please give some information about this "data"?
_This slide appears abruptly after slide8, can you please
introduce some
information here?
Slide10-11:
All these expressions for Qj, M, zg, Rg, need to one slide
discussion
before showing the results. (Expressions are in small text size,
will
not be visible for audiences)
Can you please add one slide before slide9-10?

Slide12:
Can you say something about this weights? Like where and how do
you get
this?

Slide18-19:
There are two small plots, not visible at all.
Can you please make it bigger and clear, and mention how it is
related
to your neural network technique?

Slide24,25,26:
_mention which year pp data?
_R=0.4 -> jet resolution parameter (R)=0.4
_There are three different eta, (TPC, BEMC, and jet eta); make
it
clear
_ M>1 GeV/c^2 -> Do you use the same cut for unfolding while
training
simulated from the real data? Or while making response matrix.

Slide27,
_ I recall, we had a discussion earlier that we need systematic
uncertainty along with your statistical uncertainty for these
plots in
order to validate this closure. Any progress in that direction.
_"…centered at the value for 3 iterations " -> Not clear, can
you please
rephrase this and explain a bit more? I think you have put the
statistical bar only in the case of 3rd iteration results. Is
that

correct? If yes, then mention that stat. Error for other
iterations are
the same.
_"embedding jets into 2 statistically independent samples " ->
what are
those 2 statistical ind. samples? Need some explanation.
_ For your jet pT case, there is a difference at some bins, I
think if
you use your systematic uncertainties then it would be
consistent.
Any
comment?

Slide28:
_This slide needs to come after Slide30-31
_"Tracking uncertainty " -> "Uncertainty in tracking efficiency"
(people may ask you why only -4% not +4%)
_I think it is important to show right plot with "STAR
preliminary".

Slide29:
_Remove "Preliminary results:" ; "Fully corrected jet M" make it
bigger.
_"... but MultiFold also gives us something else!" I think you
can
drop
this and clearly mention what is that "something else"
_Be prepared for it if somebody ask any comment on systematic
uncertainty comparison between two unfolding methods. Can you
please
mention here what would be your answer?
_ Jet M expression make it bigger; Or just remove it if you add
one
slide as I commented before.
_ I like this plot now.

Slide30-31:
_Remove "Preliminary results:" ;
_You could move these slides before slide29 where you can
discuss
one
projection results of jet M.
_"Wider jets tend to have lower |Q|" -> how do you get this
conclusion?
_ "Different fragmentation patter" -> do you mean it is because
of
their
different jet Mass?

Slide33:
_"apply boosted decision trees on fully corrected data... " ->
what is
"boosted decision tree"?
_ remover "…" at the end. Or say something what is your plan?

Cheers
Nihar

On 2022-09-30 01:11, webmaster--- via Star-hp-l wrote:
Dear Star-hp-l AT lists.bnl.gov members,

Youqi Song (youqi.song AT yale.edu) has submitted a material for a
review,
please have a look:
https://drupal.star.bnl.gov/STAR/node/61209

Deadline: 2022-10-11
---
If you have any problems with the review process, please
contact
webmaster AT www.star.bnl.gov
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