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  • From: Yi Yang <yiyang0429 AT gmail.com>
  • To: Isaac Mooney <fs3383 AT wayne.edu>
  • Cc: STAR HardProbes PWG <star-hp-l AT lists.bnl.gov>
  • Subject: Re: [Star-hp-l] HP-pwg meeting, Thursday, 21st July 2022, 10 AM BNL time
  • Date: Thu, 28 Jul 2022 01:05:50 +0800

Hi Isaac,

Wonderful! Thanks a lot. 

Cheers,
Yi


On Thu, Jul 28, 2022 at 1:05 AM Isaac Mooney <fs3383 AT wayne.edu> wrote:
Hi Yi and Rongrong,

I was actually planning to show something soon to the HP PWG. It’s been a busy few weeks, so I haven’t had the chance to put an update together, but I will hopefully have something ready to show at next week’s meeting. I’ll keep you updated.

Best,
Isaac

On Jul 27, 2022, at 12:31 PM, Yi Yang via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:

Hi Rongrong,

Thanks a lot for bringing this up. 
Since I am not familiar with this analysis, I would like to propose to ask Issac or someone from this analysis to present an update in a coming HP PWG meeting. Then, we can discuss whether we need to prepare an erratum for this paper. 

Issac, is it okay with you?

Cheers,
Yi 




On Fri, Jul 22, 2022 at 4:02 AM Rongrong Ma via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:
Hi Youqi

Thanks for the figures. So the difference is not completely negligible. The reason I am asking is I am wondering if we need to prepare an erratum for the jet mass paper. It is probably a question to PAs and conveners. 

In "(1-eff)*Pythia", is the PYTHIA distribution produced from the miss cases? 

Thanks. 

Best
Rongrong

On Jul 21, 2022, at 1:59 PM, Youqi Song via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:

Hi Rongrong,

I think if you take MultiFolded spectrum/efficiency, then that's assuming the distribution for the substructure observable is the same for the matched jets and the misses, which might not be the case. Here we take the normalized distribution for MultiFold (essentially weighted by efficiency) and the normalized distribution for the misses (weighted by 1-efficiency), so the sum of these 2 is also normalized per jet.

For the mass distributions, do you mean to put the unfolded spectra from s11 and s12 on the same plot to compare? I am attaching the Pythia distributions, where Isaac used the blue distribution and I am using the red.

Best,
Youqi

On Thu, Jul 21, 2022 at 1:17 PM Rongrong Ma <marr AT rcf.rhic.bnl.gov> wrote:
Hello Youqi

Thanks. Looking forward to your studies. 

If you want to take into account misses, shouldn't it be "MultiFolded spectrum/efficiency", rather than "MultiFolded spectrum*efficiency"? Then what is "(1-eff)*Pythia distribution"?

Could you compare the distributions on s11 and s12 to quantify how large of a difference the "wrong" particle eta causes? 

Thanks. 

Best
Rongrong

On Jul 21, 2022, at 1:00 PM, Youqi Song <youqi.song AT yale.edu> wrote:

Hi Rongrong,

Thanks for the questions!

Slide 4: Good point, I will check that and let you know.

Slide 10: Efficiency here includes jet finding efficiency and trigger efficiency, and is calculated by taking the number of matched (between Pythia and embedding) jets divided by number of Pythia jets. For pT of 20-25 GeV, this is 0.75. 25-30:  0.85. 30-40: 0.90. This is needed because we want to take into account the misses.

Slide 12: This comes from a bug in Isaac's code where he assigned the eta of the particle as the rapidity, which causes the Pythia jet mass distribution to be slightly different. Other than that we both have |jet eta| < 0.6 for jet selection (jet R = 0.4).

Slide 13: See slides 43 and 44 in backup. I haven't included any uncertainty here but will include them next time.

Best,
Youqi



On Thu, Jul 21, 2022 at 12:24 PM Rongrong Ma <marr AT rcf.rhic.bnl.gov> wrote:
Hello Youqi

If possible, could I ask a few more questions regarding your slides?

Slide 4: it is true that there isn't any difference between 2 and 10, or even 1 and 10 iterations based on these figures. Could this be due to that your prior distributions are the same as the truth if I understand correctly? If you use say HERWIG distributions as prior to unfold PYTHIA sample, do you still achieve closure with 1 or 2 iterations?

Slide 10: in the formula for "Full spectra for each pT bin", what is "efficiency"? Why is it needed?

Slide 12: what are the different particle eta's used between you and Isaac, which as implied on this slide seem to have a non-negligible impact on jet mass distribution? Is there a particular reason to use two different eta assignments? 

Slide 13: here you say "Comparable pT spectrum (spin WG uses different R)". Do you have a plot to back up this statement?

Thanks. 

Best
Rongrong

On Jul 20, 2022, at 11:36 PM, Youqi Song via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:

Hi all,

Here are my slides for tomorrow's meeting. I also uploaded them to https://drupal.star.bnl.gov/STAR/blog/youqi/multifold072122, since I don't have access to edit the weekly meeting page.

Best,
Youqi

On Tue, Jul 19, 2022 at 2:39 PM Youqi Song <youqi.song AT yale.edu> wrote:
Hi all,

I would also like to give an update on my multifold analysis. I have to leave by 11 so I'd prefer to go first. I will upload my slides later.

Best,
Youqi

On Tue, Jul 19, 2022 at 12:29 PM Grant McNamara via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:
Hi all,

I would like to give an update on the jet charge analysis. I will post my slides before the meeting.

Best,
Grant McNamara

From: Star-hp-l <star-hp-l-bounces AT lists.bnl.gov> on behalf of Nihar Sahoo via Star-hp-l <star-hp-l AT lists.bnl.gov>
Sent: Monday, July 18, 2022 1:46 PM
To: Star-hp L <Star-hp-l AT lists.bnl.gov>
Subject: [Star-hp-l] HP-pwg meeting, Thursday, 21st July 2022, 10 AM BNL time
 
[EXTERNAL]

Hello All,

We will have our regular HP-pwg meeting this Thursday (21st July) at 10
AM BNL time.
Let us know please if you have something to present and update your
analysis.

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

Join ZoomGov Meeting
https://bnl.zoomgov.com/j/1611419615?pwd=VW1hNm43ZDd5d2EvK2R4aEJsQ2ZNZz09

Meeting ID: 161 141 9615
Passcode: 744968


Regards,
Barbara, Yi, Sooraj, and Nihar
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