sphenix-l AT lists.bnl.gov
Subject: sPHENIX is a new detector at RHIC.
List archive
[Sphenix-l] [sphenix-l] AI paper using the sPHENIX calorimeter simulations
- From: "Go, Yeonju" <ygo AT bnl.gov>
- To: "sphenix-l AT lists.bnl.gov" <sphenix-l AT lists.bnl.gov>
- Subject: [Sphenix-l] [sphenix-l] AI paper using the sPHENIX calorimeter simulations
- Date: Tue, 21 May 2024 20:31:22 +0000
Dear sPHENIX collaborators,
Thanks a lot for the useful discussion and comments provided during and after the talk [1] presented in General Meeting on 26th April, 2024. Regarding the authorship, we will follow the recommendation which we just received from the sPHENIX spokesperson and the publication committee.
In summary, this work uses sPHENIX HIJING + Geant4 simulation MDC2 data and calorimeter towers in these events to demonstrate the ability of generative machine learning models (DDPM and GAN) to reproduce these events. You can find more details in this paper draft [2], which has been updated by addressing comments received after the presentation. In the paper, we will acknowledge sPHENIX collaboration and not single out specific sPHENIX collaborators.
We are welcome self-nominations from collaborators, who consider they have a persuasive case to be included as an author of the paper, such as significantly contributed to development of calorimeter simulation. Please nominate yourself by replying back to this email by tomorrow 22nd May, 2024 (We apologize for the tight notice). We will add you as author.
Thank you very much, Yeonju Go on behalf of the paper authors
[1] https://indico.bnl.gov/event/23131/
From:
sPHENIX-l <sphenix-l-bounces AT lists.bnl.gov> on behalf of David Morrison via sPHENIX-l <sphenix-l AT lists.bnl.gov> Dear sPHENIX collaborators, |
- [Sphenix-l] [sphenix-l] AI paper using the sPHENIX calorimeter simulations, Go, Yeonju, 05/21/2024
Archive powered by MHonArc 2.6.24.