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star-tf-trkeff-l - Re: [Star-tf-trkeff-l] Tracking Efficiency Uncertainty meeting June 8 , 2021, 10:00 AM

star-tf-trkeff-l AT lists.bnl.gov

Subject: STAR task force for evaluating tracking efficiency uncertainty

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  • From: David Stewart <david.j.stewart AT yale.edu>
  • To: Petr Chaloupka <petrchal AT rcf.rhic.bnl.gov>, STAR task force for evaluating tracking efficiency uncertainty <star-tf-trkeff-l AT lists.bnl.gov>
  • Subject: Re: [Star-tf-trkeff-l] Tracking Efficiency Uncertainty meeting June 8 , 2021, 10:00 AM
  • Date: Mon, 7 Jun 2021 23:02:56 -0400

note: I already tried to send this message once with a smallish png screen clipping attached, and that message will have to be approved by the moderator to finish being sent. So, here is the same message a second time, but without the graphic.

Hi Petr,
I will be traveling back from shift in the morning and will miss the meeting. However, as follow up from last week, I spot checked some of the PDF's associated with the runs that I used to make the following graphic to check if those pdfs correlated half of the GMT modules being off. I spot checked 27 of the runs in the input run list, out of 846, and only one of them had data missing in a single gmt module. The remaining 26 spot-checked runs had data for all eight separate modules. It appears very unlikely that the plot below resulted from reading only files with detector conditions in which only half of the gmt was on. As a further check, I am running the code with only those 27 inspected input *.daq files and will see what the results are.

Best regards,
David

On Mon, Jun 7, 2021 at 11:53 AM Petr Chaloupka via Star-tf-trkeff-l <star-tf-trkeff-l AT lists.bnl.gov> wrote:
Dear All,

Please join our meeting tomorrow at 10:00 New York time.

Please upload any material for discussion to the drupal page:
https://drupal.star.bnl.gov/STAR/event/2021/06/08/tracking-efficiency-uncertainty-meeting



To join the meeting:
https://bnl.zoomgov.com/j/1607035037?pwd=WDVqaEdwa0RtTEM5a1VvZ24yU2gwdz09
Meeting ID: 160 703 5037
Passcode: 099371

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+16468287666,,1607035037#,,,,,,0#,,099371# US (New York)

Dial by your location
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With best regards,
Petr

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