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Subject: sPHENIX is a new detector at RHIC.
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Re: [[Sphenix-l] ] Publication of the machine learning paper
- From: Timothy Rinn <timothytrinn AT gmail.com>
- To: Byungsik Hong <bhong AT korea.ac.kr>
- Cc: "Go, Yeonju" <ygo AT bnl.gov>, "sphenix-l AT lists.bnl.gov" <sphenix-l AT lists.bnl.gov>
- Subject: Re: [[Sphenix-l] ] Publication of the machine learning paper
- Date: Thu, 26 Sep 2024 21:19:57 -0600
Dear Yeonju and all,Congratulations on publishing this very interesting paper!Best Regards,Byungsik+-----------------------------------------------------------------------+
Byungsik HongProfessor, Department of PhysicsKorea University, Seoul 02841, South KoreaDirector, 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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[[Sphenix-l] ] Publication of the machine learning paper,
Go, Yeonju, 09/26/2024
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Re: [[Sphenix-l] ] Publication of the machine learning paper,
Byungsik Hong, 09/26/2024
- Re: [[Sphenix-l] ] Publication of the machine learning paper, Timothy Rinn, 09/26/2024
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Re: [[Sphenix-l] ] Publication of the machine learning paper,
Byungsik Hong, 09/26/2024
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