Difference between revisions of "SRGS 2022"

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* [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]
  
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=== Zoom Connection Info: ===
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<div class="toccolours mw-collapsible mw-collapsed">
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You can connect using [https://jlab-org.zoomgov.com https://jlab-org.zoomgov.com] (Meeting ID: 160 808 1515). <font size="-3">(Click "Expand" to the right for details -->):</font>
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<div class="mw-collapsible-content">
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<p>
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Join Zoom Meeting<br>
 +
One tap mobile: US: +16692545252,,1608081515# or +16468287666,,1608081515#<br>
 +
Meeting URL: https://jlab-org.zoomgov.com/j/1608081515?pwd=c0pNakJVT0NHVUtSQWFxWlhHN3ZiUT09&from=addon<br>
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Meeting ID: 160 808 1515<br>
 +
Passcode: 798688<br>
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</p>
 +
<p>
 +
Join by Telephone<br>
 +
For higher quality, dial a number based on your current location.<br>
 +
Dial: <br>
 +
US: +1 669 254 5252 or +1 646 828 7666 or +1 669 216 1590 or +1 551 285 1373 or 833 568 8864 (Toll Free)<br>
 +
Meeting ID: 160 808 1515<br>
 +
International numbers<br>
 +
Join from an H.323/SIP room system<br>
 +
H.323: 161.199.138.10 (US West)<br>
 +
161.199.136.10 (US East)<br>
 +
Meeting ID: 160 808 1515<br>
 +
</p>
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<p>
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Passcode: 798688<br>
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SIP: 1608081515@sip.zoomgov.com<br>
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Passcode: 798688<br>
 +
</p>
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</div>
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</div>
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== Presentation Schedule ==
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<table>
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  <tr>
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    <td>
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      June 27 - ''orientation''
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      June 28 - Will S.
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      June 29 - Dhruv B.
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      June 30 - Anna R.
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      July  1 - Hari G.
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    </td>
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    <td>
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      <s>July 4</s> ''Independence Day''
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      July 5 - Will S.
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      July 6 - Colin W.
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      July 7 - Anna R.
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      July 8 - Dhruv B.
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    </td>
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    <td>
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      July 11 - Hari G.
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      July 12 - Will S.
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      July 13 - Colin W.
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      July 14 - Anna R.
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      July 15 - Dhruv B.
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    </td>
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    <td>
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      July 18 - Hari G.
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      July 19 - Will S.
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      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>
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<hr><hr>
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== Useful Links (General) ==
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* [https://github.com/nathanwbrei/shallow_water/blob/master/Paper.ipynb Shallow Water Jupyter Notebook example]
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== PHASM: neural net models of PDE solvers==
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 +
Students:
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* Dhruv Bejugam
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* Hari Gopal
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* Colin Wolfe
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=== Useful links: ===
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* [[Media:Phasm Intro Slides.pdf|Phasm Intro Slides.pdf]]
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* [[SciML curriculum]]
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* PHASM repository: [https://github.com/nathanwbrei/phasm]
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<hr><hr>
 
== AI Feature Recognition: Extract Spectrometer Angle from Image ==
 
== AI Feature Recognition: Extract Spectrometer Angle from Image ==
  
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=== Useful links/info: ===
 
=== Useful links/info: ===
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* [https://github.com/ws-kj/SpectrometerAngleRecogntion Spectreye GitHub Repository]
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* [https://github.com/arosnerd/GovSchoolGauge Gauge Reader 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/'''
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***''ecSHMS_Angle''
 
***''ecSHMS_Angle''
 
***''ecHMS_Angle''
 
***''ecHMS_Angle''
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* Example logbook entry
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** [https://logbooks.jlab.org/entry/3517582 https://logbooks.jlab.org/entry/3517582]
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*:
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* Location of gas gauge images: [https://drive.google.com/drive/folders/0B6j-UjijD80OZ3pHbDBGSWZzZTg?resourcekey=0-TlgfHSUkuMtMuLNYbZyKHw Google Drive]
  
 
=== Initial thoughts from Brad ===
 
=== Initial thoughts from Brad ===
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<div class="toccolours mw-collapsible mw-collapsed">
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Brad's initial thoughts on approaching the problem
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<font size="-3">(Click "Expand" to the right for details -->):</font>
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<div class="mw-collapsible-content">
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     I had been imagining splitting the photos into two regions: one with
 
     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
 
     the digits, and a second with the vernier scale. Each region would be
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     individual frames could be pulled out of the mp4 and evaluated
 
     individual frames could be pulled out of the mp4 and evaluated
 
     individually over a continuously varying range of angles.
 
     individually over a continuously varying range of angles.
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</div>
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</div>

Latest revision as of 20:32, 15 July 2022

General Info

Zoom Connection Info:

You can connect using https://jlab-org.zoomgov.com (Meeting ID: 160 808 1515). (Click "Expand" to the right for details -->):

Join Zoom Meeting
One tap mobile: US: +16692545252,,1608081515# or +16468287666,,1608081515#
Meeting URL: https://jlab-org.zoomgov.com/j/1608081515?pwd=c0pNakJVT0NHVUtSQWFxWlhHN3ZiUT09&from=addon
Meeting ID: 160 808 1515
Passcode: 798688

Join by Telephone
For higher quality, dial a number based on your current location.
Dial:
US: +1 669 254 5252 or +1 646 828 7666 or +1 669 216 1590 or +1 551 285 1373 or 833 568 8864 (Toll Free)
Meeting ID: 160 808 1515
International numbers
Join from an H.323/SIP room system
H.323: 161.199.138.10 (US West)
161.199.136.10 (US East)
Meeting ID: 160 808 1515

Passcode: 798688
SIP: 1608081515@sip.zoomgov.com
Passcode: 798688


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 5 - Will S.
     July 6 - Colin W.
     July 7 - Anna R.
     July 8 - 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.

Useful Links (General)

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

Brad's initial thoughts on approaching the problem (Click "Expand" to the right for details -->): 

   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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