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sphenix-tracking-l - Re: [Sphenix-tracking-l] QM2022 Poster Abstract - Tracking Performance

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  • From: Anthony Frawley <afrawley AT fsu.edu>
  • To: "sphenix-tracking-l AT lists.bnl.gov" <sphenix-tracking-l AT lists.bnl.gov>, "sphenix-l AT lists.bnl.gov" <sphenix-l AT lists.bnl.gov>, "Osborn, Joe" <osbornjd AT ornl.gov>
  • Subject: Re: [Sphenix-tracking-l] QM2022 Poster Abstract - Tracking Performance
  • Date: Mon, 29 Nov 2021 20:00:01 +0000

Hi Joe,

Looks good. Should we mention distortion corrections explicitly? There will be considerable interest in what the magnitude is, and what we think we can achieve, I think.

Tony

From: sPHENIX-l <sphenix-l-bounces AT lists.bnl.gov> on behalf of Osborn, Joe via sPHENIX-l <sphenix-l AT lists.bnl.gov>
Sent: Monday, November 29, 2021 2:52 PM
To: sphenix-tracking-l AT lists.bnl.gov <sphenix-tracking-l AT lists.bnl.gov>; sphenix-l AT lists.bnl.gov <sphenix-l AT lists.bnl.gov>
Subject: [Sphenix-l] QM2022 Poster Abstract - Tracking Performance
 

Hi all,

 

I would like to submit a QM22 poster abstract on behalf of the tracking group. Comments are very welcome.

 

Joe Osborn

 

 

Track Reconstruction Performance with the sPHENIX Experiment

 

The sPHENIX detector at BNL’s Relativistic Heavy Ion Collider (RHIC) has a broad experimental physics program that is highlighted by jets, their substructure, and open and closed heavy flavor production. To measure these observables, the sPHENIX tracking system is composed of a monolithic active pixel sensor based vertex detector (MVTX), a silicon strip detector called the intermediate tracker (INTT), and a compact, continuous readout time projection chamber (TPC). Measuring these observables requires precise and efficient track reconstruction in these detectors. This presents challenges due to the large track density environment present in central heavy ion collisions, the high luminosity environment that RHIC will provide, and the streaming readout model that sPHENIX will collect data with. In this poster, we discuss the physics performance of the current track reconstruction, as well as future plans as the experiment approaches first data taking in 2023.

 

 

---------------------------

 

Joe Osborn, Ph.D.

Associate Research Scientist

Oak Ridge National Laboratory

osbornjd AT ornl.gov

(859)-433-8738

 




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