sPHENIX is a new detector at RHIC.

[Cameron Thomas Dean <cameron.dean AT cern.ch>]

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