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sphenix-maps-l - Re: [[Sphenix-maps-l] ] MVTX QA & run quality check

sphenix-maps-l AT lists.bnl.gov

Subject: sPHENIX MAPS tracker discussion

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Chronological Thread  
  • From: Hao-Ren Jheng <hrjheng AT mit.edu>
  • To: Devon Loomis <dloom AT umich.edu>
  • Cc: SPHENIX MVTX <sphenix-maps-l AT lists.bnl.gov>, Joe Osborn <osbornjd91 AT gmail.com>
  • Subject: Re: [[Sphenix-maps-l] ] MVTX QA & run quality check
  • Date: Fri, 20 Dec 2024 19:42:52 +0000

Hi Devon,

I think integrating the raw hit QA into the cluster QA check is a good idea. The macro I was using is located in my working directory: /sphenix/user/hjheng/sPHENIXRepo/MVTX/runcheck/runsummary.C
It needs some improvements and adjustments for flexibility, which I haven’t had the chance to implement yet. Would you take a look and see if it’s straightforward to add the raw hit checks directly, or alternatively it might be easier to start fresh with a new macro or module for the same purpose?
We could discuss this further over Zoom after the new-year break if it’s helpful.

Best,
Hao-Ren

On Dec 18, 2024, at 14:10, Devon Loomis <dloom AT umich.edu> wrote:

Hi Hao-Ren,

Thanks for reaching out with information about the MVTX QA. I think it makes a lot of sense to combine your cluster and chip occupancy QA with the raw hit QA. Since you have a very nice workflow and html set up, perhaps it would be best if we incorporate the raw hit QA in that? As of now, I am just grabbing the raw hit data from the QAhtml output.

Thanks,
Devon

On Dec 18, 2024, at 12:47 PM, Hao-Ren Jheng <hrjheng AT mit.edu> wrote:

Hi Devon,

Thank you for looking into the MVTX QA! 
Over the summer, I set up a semi-automatic MVTX run quality check that analyzes cluster QAs from fast production and publishes a daily updated list on this webpage:: https://sphenix-intra.sdcc.bnl.gov/WWW/user/hjheng/Run2024/MvtxQA-Summary/. Sorry for not coordinating with you earlier — I’ve been occupied with other tasks and didn’t get a chance to share this in the tracking meeting.
The criteria I set to classify runs as good/OK/bad is primarily based on the fit quality to the cluster phi distribution and the probability of a high chip occupancy, which are different from yours. I think combining our criteria we could have a comprehensive and complete set of good runs that are useful for tracking-related analyses.
Let me know what you think and how I could help!

Best,
Hao-Ren





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