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Subject: STAR HardProbes PWG

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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] (Reschedule to have) HP-pwg meeting this week
  • Date: Mon, 26 Sep 2022 17:34:31 +0530

Hello Youqi,

Please find my reply and queries inline.


On 2022-09-25 23:02, Youqi Song wrote:
Hi Nihar,

Thanks for the feedback. I updated the slides here:
https://drupal.star.bnl.gov/STAR/system/files/prelim_request_092522.pdf

Response to unnumbered comments:

Yes, I have three MCs, Herwig, Pythia8 and Pythia6, but what I did
earlier was just to use Pythia6 for the *misses*, I still did
unfolding with each of the different MC prior shapes. (Now the plots I
updated on Friday have both the misses and the unfolded parts with
different priors). I plotted the fully corrected distributions with
the different priors together with other sources of sys uncertainty in
backup slide 1, and I just added a backup slide 2 with just the
distributions due to prior shape variation.

Ok, that's fine.

Ok, I've added a slide after slide 15 to show the error breakdown.

I like this comparison plot that is in Slide#16. It looks like at this stage both Multifold and RooUnfold give roughly the same uncertainties. But we need to go through some other systematic uncertainties (like you mentioned below) in future after HQ conf.

For detector and generator level pT shape smearing, I think the idea
is to add some smearing to the response matrix itself. Maybe others
can correct me if I'm wrong.

Not sure if I understand this correctly, this needs a discussion. Could you please bring this topic up in your next presentation?
But for HQ, I think it is Ok, the systematic uncertainties you have for STAR preliminary.


Response to numbered comments:

1. For the detector response systematics, there are hadronic
correction, tower scale and tracking efficiency variation.
For hadronic correction, I see how it makes sense to vary in data as
well, but I learned that Raghav and Isaac didn't vary data for their
analyses, so I decided to go with how they did it. Also, I tried
varying data as well, but it didn't have a large effect. See the
comparison plot I added in slide 12.

Good that you checked this for Hadronic correction.

For tower scale and tracking efficiency, I am not sure how we would
vary data. Right now I decreased the tracking efficiency in Geant by
4%, and kept data the same. Do you mean that we should drop 4% tracks
in data for this variation as well?

No, we don't change anything in the data. We can only change in the tracking efficiency from embedding.
You mentioned that you only decreased 4%. Have you considered also increasing 4% in your systematic uncertainties ? Just to confirm.


2. Great, I updated the figure in the slide.

Good, Can you please lower your y-axis scale (say -0.01) so that all the markers can be seen properly, particularly at large M region?
(in a plot, all data points should be presented/shown clearly)


3. The star markers are MultiFold mass distributions divided by
RooUnfold mass, so I'm not sure why we want a different style marker?

Suggesting because ratio star marker no need to be the same with Multifold marker style. just for cosmetic.

The error bands are my unfolding systematics and RooUnfold unfolding
systematics added in quadrature, and then divided by RooUnfold mass
distribution.

Can you please label your Y-axis accordingly without labeling as "Ratio with RooUnfold"?
It is not clear what you have written above. Is not it?
Please put pT range, "STAR Preliminary", and other info like your slide#19.


4. Great, agreed :)

5. I updated the legend to include "Detroit tune". I'm not sure we
want to push for the q vs g separation physics message. Maybe Helen
and Raghav can say more about this, but my understanding is that the
quark and gluon jets can have similar fragmentation patterns at 200
GeV and there can be ambiguity regarding e.g. if you want to call a
jet initiated from g->qqbar splitting a quark jet or a gluon jet, so
instead it might be more interesting to treat the jets with different
M and Q as having different fragmentation patterns.

Ok, that makes sense to me.


Cheers
Nihar

Best,
Youqi

On Sun, Sep 25, 2022 at 8:23 AM Nihar Sahoo <nihar AT rcf.rhic.bnl.gov>
wrote:

Hello Youqi,

Thank you for your update and this information.

I have the following comment and questions on your new updated
results
(plots) and also your notes.

Regarding systematics,
- You might have noticed that the systematic errors for multifold
have
gone up by a bit. This is because I realized that before, when
doing
herwig and pythia8 shape variations, I was using pythia6 mass
distribution for the misses. Now I changed it so that the misses
contribution
for prior shape variation is also weighted by the mass ratio of
herwig
(pythia8) over pythia6.

Good that you found out this.
If I understand correctly, you have three MCs: Herwig, Pythia8, and
Pythia6. You used each of these MC mass distributions for the mass
shape
variation for sys uncertainties. Earlier, you used Pythia6 for all
these
cases, but now you corrected it with their respective mass shapes.
Is
that correct?
Could you show (include in your backup) us those mass distribution
variations using these three different MC priors? Curious to see the

difference due to different fragmentations in the mass distribution.


- After talking with Isaac, I learned that unfolding systematics
due to
variation of iteration number and variation of prior shape were
treated
as correlated in previous analyses, while I originally had these
added
in quadrature. Now I also treat them as correlated by just taking
the
largest contribution to the unfolding systematic as the overall
unfolding systematic, and add it in quadrature with detector
systematics.

Could you please separate out I) statistical uncertainty, II)
Correlated
Sys, and III) Uncorrelated Sys in your plot ( using Style2 in
slide#16)
without adding in quadrature? Please use a smaller marker size to
see
the stat. Error bar (even if it is small).

- Regarding the question whether there's anything still missing
that's
raised during the meeting yesterday, I forgot to mention that we
haven't included detector and generator level pT shape smearing.
This
is included in Raghav's and Isaac's analyses because they did 1D
reweighting, but we are not sure if it should be included for
multidimensional unfolding.

Hmm, Is not it that the total detector effects (tracking efficiency
and
pT smearing) are considered using this multifold while you create
something like the response matrix? What am I missing here?

Comments on your slide#12 (from this email preliminary templet
slides)

1. Slide#12: As you have mentioned, you have varied only in the
embedding, not in the data. General practice is to vary in the data.
But
not sure if that will be accurately translated to the variation in
the
data. It is interesting. i) Then how do you use tracking efficiency
(+-4%) variation in embedding to get systematic uncertainties? ii)
Can
you please do a test where you apply the same variation in the data
and
use the respective variation in the embedding and then check if you
get
approximately the same sys. variation between the two cases ?(just
for
one case which one has a bigger effect).

2. I like Style-4 (slide18) of figure-1 if you don't want to shift
the
published results. In this case, I would suggest using an open black

star for published results and a filled red marker for your new
Multifold results. Then you plot your red filled star top on the
published results (open back mark). In this case, you don't need to
shift the published results, and no confusion, and will look good.

3. SLide19, Fig-1 ratio plot: In this plot, assuming statistical
uncertainties cancel out. Are these bands only the ratio of
systematic
uncertainties? Can you use a separate marker style here in order to
avoid your mass distribution red star style?

4. SLide#21: Thank you for including raw distribution here. It looks

like there is a noticeable difference between raw and Multifold
levels.

5. Slide#23: Thank you for including PYTHIA8 curves. I like this
plot
and the comparison. Pythia8 and Data are consistent. You could point
out
that further study is ongoing to explore mass distribution between q
vs.
g using this |Q| cut. This is the main physics of this |Q| cut here.

Right? (Can you label "PYTHiA8" as "PYTHIA8 Detroit tune" or …STAR

tune?)

Cheers
Nihar

On 2022-09-23 20:29, Youqi Song via Star-hp-l wrote:
Hi all,

I have updated my slides for the preliminary request at:


https://drupal.star.bnl.gov/STAR/system/files/prelim_request_092222_0.pdf.

A few things that I would like to point out:

Regarding systematics,
- You might have noticed that the systematic errors for multifold
have
gone up by a bit. This is because I realized that before, when
doing
herwig and pythia8 shape variations, I was using pythia6 mass
distribution for the misses. Now I changed it so that the misses
contribution for prior shape variation is also weighted by the
mass
ratio of herwig (pythia8) over pythia6.
- After talking with Isaac, I learned that unfolding systematics
due
to variation of iteration number and variation of prior shape were
treated as correlated in previous analyses, while I originally had
these added in quadrature. Now I also treat them as correlated by
just
taking the largest contribution to the unfolding systematic as the
overall unfolding systematic, and add it in quadrature with
detector
systematics.
- Regarding the question whether there's anything still missing
that's
raised during the meeting yesterday, I forgot to mention that we
haven't included detector and generator level pT shape smearing.
This
is included in Raghav's and Isaac's analyses because they did 1D
reweighting, but we are not sure if it should be included for
multidimensional unfolding.

Regarding plotting,
- For fig. 1, I made the mass distribution plot with the same data
points in 4 different styles.- For fig. 1 ratio plot, the error
band
is now centered at 1 and is the quadrature of RooUnfold's and
MultiFold's unfolding systematics, divided by the mean values from
RooUnfold.
- For fig. 2, I also included a plot of the M vs Q correlation
with
raw data before unfolding.
- For fig. 3, I have pythia8 curves plotted together with my
unfolded
mass distributions.

Please let me know if you have any comments/suggestions.

Best,
Youqi

On Wed, Sep 21, 2022 at 5:47 PM Youqi Song <youqi.song AT yale.edu>
wrote:

Hi all,

I have uploaded my slides here:
https://drupal.star.bnl.gov/STAR/blog/youqi/multifold092222

Best,
Youqi

On Wed, Sep 21, 2022 at 5:04 PM Tong Liu via Star-hp-l
<star-hp-l AT lists.bnl.gov> wrote:

Hi all,

Please find my pdf in this post:




https://drupal.star.bnl.gov/STAR/blog/tongliu/Tong-Lius-HP-PWG-updates

Tong Liu
Ph.D. Student '2023
Physics Dept., Yale University

Tel: 203-435-2130

On Wed, Sep 21, 2022 at 3:29 AM Nihar Sahoo via Star-hp-l
<star-hp-l AT lists.bnl.gov> wrote:
Hello All,

We got requests from Youqi and Tong to present their results for
the
Hot
Quark conference.
And during Youqi's talk at the collaboration meeting, we did not
get

time to have Q&A.
So let's meet this week to discuss their updates.

Youqi and Tong, can you please send link of your slides in this
thread
again?
(I didn't get your previous emails, the reason I do not know)

If anybody wants to discuss their results, please let us know.

HP-pwg weekly meeting Drupal page:



https://drupal.star.bnl.gov/STAR/pwg/Hard-Probes/Weekly-HP-PWG-meeting

Zoom Meeting link:



https://bnl.zoomgov.com/j/1611419615?pwd=VW1hNm43ZDd5d2EvK2R4aEJsQ2ZNZz09
[1]
[1]

Meeting ID: 161 141 9615
Passcode: 744968

Thank you
Barbara, Yi, Sooraj, Nihar

On 2022-09-19 22:13, Nihar Sahoo via Star-hp-l wrote:
Hello All,

Last week we discussed a lot at the collaboration meeting, If
there is
no urgent matter to discuss, let's cancel this week's HP pwg
meeting.

Have a great week.

Thank you
Barbara, Yi, Sooraj, and Nihar
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