Difference between revisions of "SRGS 2022"

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* [[Media:Mini_research_projects_v2.pdf | Potential Projects Summaries]]
 
* [[Media:Mini_research_projects_v2.pdf | Potential Projects Summaries]]
 
* [https://jeffersonlab.sharepoint.com/:f:/r/sites/SciEdStudents/Shared%20Documents/2022_Summer/David%20Lawrence,%20Nathan%20Brei,%20Carl%20Timmer?csf=1&web=1&e=btBNDn Sharepoint Link]
 
* [https://jeffersonlab.sharepoint.com/:f:/r/sites/SciEdStudents/Shared%20Documents/2022_Summer/David%20Lawrence,%20Nathan%20Brei,%20Carl%20Timmer?csf=1&web=1&e=btBNDn Sharepoint Link]
 +
 +
== Presentation Schedule ==
 +
 +
<table>
 +
  <tr>
 +
    <td>
 +
      June 27 - ''orientation''
 +
      June 28 - Will S.
 +
      June 29 - Dhruv B.
 +
      June 30 - Anna R.
 +
      July  1 - Hari G.
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    </td>
 +
    <td>
 +
      <s>July 4</s> ''Independence Day''
 +
      July 6 - Will S.
 +
      July 7 - Colin W.
 +
      July 8 - Anna R.
 +
      July 5 - Dhruv B.
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    </td>
 +
    <td>
 +
      July 11 - Hari G.
 +
      July 12 - Will S.
 +
      July 13 - Colin W.
 +
      July 14 - Anna R.
 +
      July 15 - Dhruv B.
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    </td>
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    <td>
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      July 18 - Hari G.
 +
      July 19 - Will S.
 +
      July 20 - Colin W.
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      July 21 - Anna R.
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      July 22 - Dhruv B.
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    </td>
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  </tr>
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</table>
  
 
== PHASM: neural net models of PDE solvers==  
 
== PHASM: neural net models of PDE solvers==  
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=== Useful links/info: ===
 
=== Useful links/info: ===
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* [https://github.com/ws-kj/SpectrometerAngleRecogntion GitHub Repository]
 
* [[Media:angle-cam-image-recognition.pdf | angle-cam-image-recognition.pdf]]
 
* [[Media:angle-cam-image-recognition.pdf | angle-cam-image-recognition.pdf]]
 
* Location of example images: '''/work/hallc/shms/spring17_angle_snaps/'''
 
* Location of example images: '''/work/hallc/shms/spring17_angle_snaps/'''

Revision as of 19:20, 28 June 2022

General Info

Presentation Schedule

     June 27 - orientation
     June 28 - Will S.
     June 29 - Dhruv B.
     June 30 - Anna R.
     July  1 - Hari G.

     July 4 Independence Day 
     July 6 - Will S.
     July 7 - Colin W.
     July 8 - Anna R.
     July 5 - Dhruv B.

     July 11 - Hari G.
     July 12 - Will S.
     July 13 - Colin W.
     July 14 - Anna R.
     July 15 - Dhruv B.

     July 18 - Hari G.
     July 19 - Will S.
     July 20 - Colin W.
     July 21 - Anna R.
     July 22 - Dhruv B.

PHASM: neural net models of PDE solvers

Students:

  • Dhruv Bejugam
  • Hari Gopal
  • Colin Wolfe

Useful links:

AI Feature Recognition: Extract Spectrometer Angle from Image

Students:

  • Anna Rosner
  • William Savage

Useful links/info:

Initial thoughts from Brad

   I had been imagining splitting the photos into two regions: one with
   the digits, and a second with the vernier scale. Each region would be
   evaluated/interpreted separately with some 'optimized' algorithms.
   
   'Real' errors/discrepancies would be best indicated by a scanning for a
   mismatch between MYA and the analysis database record and/or the value
   flagged in the logbook which has generally been vetted and updated by a
   human. The simplest way to test 'bad' angles would be just to
   (randomly) shift the truth angle by a small amount -- that would be
   indistinguishable from an observed drift in the EPICS encoder system.
   
   I (or the students) can also look for angle shifts in the 'real' data,
   but that will take some poking around. It should be indicated by a
   sharp (small) jump in the MYA value as an offset is changed to bring
   the EPICS value in agreement with the camera readback.
   
   One other dataset that I could obtain is a movie of the angle changing
   over a range (the movie is just a compilation of frame grabs). The
   individual frames could be pulled out of the mp4 and evaluated
   individually over a continuously varying range of angles.
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