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Subject: sPHENIX is a new detector at RHIC.

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  • From: Byungsik Hong <bhong AT korea.ac.kr>
  • To: "Go, Yeonju" <ygo AT bnl.gov>
  • Cc: "sphenix-l AT lists.bnl.gov" <sphenix-l AT lists.bnl.gov>
  • Subject: Re: [[Sphenix-l] ] Publication of the machine learning paper
  • Date: Fri, 27 Sep 2024 11:27:24 +0900

Dear Yeonju and all, 

Congratulations on publishing this very interesting paper!

Best Regards,
Byungsik
+-----------------------------------------------------------------------+
  Byungsik Hong 
  Professor, Department of Physics
  Korea University, Seoul 02841, South Korea 
  Director, Center for Extreme Nuclear Matters (CENuM)
  Chair, Asian Nuclear Physics Association (ANPhA)  
  (E_mail) bhong AT korea.ac.kr 
 
(O) (+82) 02-3290-3105, (M) (+82) 010-8988-9372
+-----------------------------------------------------------------------+


2024년 9월 27일 (금) 오전 7:56, Go, Yeonju <ygo AT bnl.gov>님이 작성:

Dear all,

I am delighted to share that our machine learning paper on generating simulated events using diffusion models has been published today in Physical Review C. You can find the publication here:

 

URL: https://link.aps.org/doi/10.1103/PhysRevC.110.034912

DOI: 10.1103/PhysRevC.110.034912

 

The authors would like to extend our sincere thanks to the sPHENIX collaboration for allowing us to use the sPHENIX simulation datasets, and for your valuable discussions and feedback, which greatly contributed to this work.

 

Thank you!

 

Sincerely,

Yeonju Go on behalf of the authors




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