EIC Project Detector - Cherenkov PID weekly regular meeting

US/Eastern
Description

EIC Project Detector - Cherenkov Particle Identification Working Group

Zoom meeting room
Subscribe the mailing list
Wiki space

Recording Password: 3KqB&62z

 

    • 08:30 09:00
      Discussion 30m
      Speaker: Grzegorz Kalicy (CUA)
    • 09:00 09:20
      dRICH acceptance 20m

      Dear Roberto,

      My apologies but I won't be able to make it to tomorrow's meeting; I will be available later in the day and will watch the recording.

      We have only tuned the optics to a level that would permit us to develop the reconstruction algorithms, and have not yet spent time optimizing further. For reference, our envelope limits (at z=back of dRICH) span roughly 1.3 < eta < 3.7, so we should be able to do much better than what was shown at the collaboration meeting.
      See figures for our last tuning attempt, way back in August 2022: https://github.com/eic/epic/pull/24

      However! Today I just noticed the optics are once again messed up; see the updated attached figure. So we can absolutely do better than eta<2.3, since currently at high eta the reflected photons are missing the sensors. This degradation of the optics was likely caused by all the little last minute changes to geometry we had to make in preparation for the first campaign.
      We have a few ways forward:

      1. We can repeat our 'brute force' optimization procedure: choose some parameters and vary them in a multidimensional lattice, then look at the results, choose the best region, and redo the variations on a smaller lattice, and eventually converge somewhere. This is neither ideal nor efficient, but gives us some tuning ability in the short term; it also gives us a framework to automate parameter variations, so should be easy for smarter optimizers to use this
      2. Move to dual mirror or multi-mirror configurations, to try to combat against the spherical aberrations. The aberration spreads out the focal region enough such that it's practically impossible to have both high and low eta in focus at the same time

      3. Machine learning optimization; as far as I know the wheels are in motion for this from Cristiano's side, and our brute-force optimizer automation should work as an entry point

      Also, our aerogel radius is not as large as we would want for ideal acceptance, so we don't get any aerogel rings at lowest eta (my slide/Chandra's figure showed gas acceptance only); unfortunately I don't think we can enlarge it without discussions with GD/I, but at least the DIRC geometrically covers this region pretty well.

      Links for geometry views
      2D, full ePIC: https://eic.github.io/epic/artifacts/epic_arches_views/view1_top.pdf

      3D interactive: https://eic.github.io/epic/geoviewer?file=artifacts/tgeo/drich_only.root&item=default;1&opt=zoom200;ROTY290;ROTZ350;trz0;trr0;ctrl;all
      Cheers,

      Chris

      Speakers: Chandradoy Chatterjee (INFN Trieste (IT)), Christopher Dilks (Duke University)
    • 09:20 09:40
      Studies of magnetic fields 20m
      Speaker: Zhengqiao Zhang
    • 09:40 09:50
      EIC visit to Incom Inc. 10m
      Speaker: Alexander Kiselev (BNL)