sPHENIX is a new detector at RHIC.

[David Stewart <0ds.johnny AT gmail.com>]

Hi Cameron,

This sounds very interesting! An English comment:

The abstract reads to me like sPHENIX can only read 10% of the collisions, and has somehow already selected those and is recording those. Then and ML will look at only the other 90%, and then send additional collisions of interest to be recorded, even though it is at least implied that sPHENIX has already maxed out at 10% pre-selected collisions.

On Mon, Nov 13, 2023 at 8:23 AM Cameron Thomas Dean via sPHENIX-l <sphenix-l AT lists.bnl.gov> wrote:

Dear collaborators,

I’ve been invited to give a talk at the next AI4EIC workshop at CUA at the end of November. The title I proposed was:

 

Autonomous selection of physics events: A RHIC demonstrator for EIC physics

 

And the abstract is:

 

With ever-increasing collision rates producing larger data volumes and the search for rarer physics processes, it is becoming apparent that autonomic decision making can play a key role in tagging physics events of interest to specific groups or filtering data streams to manageable levels. A demonstrator for separating events with a heavy flavor decay from background events in proton-proton collisions at the Relativistic Heavy Ion Collider (RHIC) with the sPHENIX detector is presented. Due to data volume limitations, sPHENIX is only capable of recording 10% of the minimum-bias collisions at RHIC. This demonstrator will use machine-learning algorithms on FPGAs to sample the remaining 90% of the collisions, determine the event topology and send a decision to the data acquisition system to record events of interest.

Please let me know if you have any comments or questions.

Cheers,
Cameron

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David Stewart

Postdoctoral Fellow | Department of Physics, Wayne State University