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star-cf-l - Re: [Star-cf-l] STAR presentation by Dylan Neff for CPOD 2022 submitted for review

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Subject: STAR Correlations and Fluctuations PWG

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  • From: Dylan Neff <dneffucla AT gmail.com>
  • To: Xiaofeng Luo <xfluo.star AT hotmail.com>, STAR Correlations and Fluctuations PWG <star-cf-l AT lists.bnl.gov>
  • Subject: Re: [Star-cf-l] STAR presentation by Dylan Neff for CPOD 2022 submitted for review
  • Date: Mon, 21 Nov 2022 13:00:40 -0800

Hi Xiaofeng,

 

Thanks for your feedback!

  1. I added a slide after 5 explaining the resampling
  2. I don’t have systematics and probably won’t quite be able to get them finished before the conference so I removed slide 13. I also don’t have the systematics for the other slides (10, 12, 13), is this ok? From my previous analyses I wouldn’t expect the systematics to be much larger than the statistical errors.

 

 

Thanks,

Dylan Neff

 

From: Xiaofeng Luo via Star-cf-l
Sent: Monday, November 21, 2022 8:11 AM
To: webmaster--- via Star-cf-l
Subject: Re: [Star-cf-l] STAR presentation by Dylan Neff for CPOD 2022 submitted for review

 

Hi Dylan,

    Please find my suggestions to your CPOD presentation.

    1. After slide 5, you may add one slide to explain  : what is more samples per events.  Why use 72 samples in the following slides,

        which is used in your data analysis.   
    2. Slide 13, do you have systematic uncertainties on the STAR data ?  If only statistical errors, I would suggest to not showing the data points.
      
Thank you,
Best Regards,
Xiaofeng

On 2022/11/21 15:45, webmaster--- via Star-cf-l wrote:

Dear star-cf-l AT lists.bnl.gov members,
 
Dylan Neff (dneff AT physics.ucla.edu) has submitted a material for a review,  
please have a look:
https://drupal.star.bnl.gov/STAR/node/61796
 
Deadline: 2022-11-28
---
If you have any problems with the review process, please contact  
webmaster AT www.star.bnl.gov
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-- 
Xiaofeng Luo
Professor of Physics
College of Physical Science and Technology
Central China Normal University
Luoyu Road 152, Wuhan China
Office Phone #: +86-27-67867500

 




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