Difference between revisions of "AI Optimized Polarization"

From epsciwiki
Jump to navigation Jump to search
(Created page with " == Meetings == * Meetings * FOA-0002875 Proposal Development Meetings (archive) == Repositories...")
 
 
(17 intermediate revisions by 3 users not shown)
Line 6: Line 6:
  
 
== Repositories ==
 
== Repositories ==
 +
* [https://github.com/orgs/JeffersonLab/projects/18/ GitHUB AIOP Project]
 +
* [https://github.com/JeffersonLab/AIOP-Target AIOP-Target]
 +
* [https://github.com/JeffersonLab/AIOP-Photon AIOP-Photon]
 +
 +
== Raw data storage ==
 +
* Photon Source: /work/halld3/home/AIOP/source/
 +
* Target: /work/halld3/home/AIOP/target/
  
 
== Presentations/Papers ==
 
== Presentations/Papers ==
Line 16: Line 23:
 
!Proceedings
 
!Proceedings
 
|}
 
|}
 +
 +
== Experimental Data Locations ==
 +
=== Run Group C, 2022-23 ===
 +
* /group/poltar/HallB/RGC
 +
** Proton data in directory data-p
 +
** Deuteron data in directory data-d
 +
=== SANE, 2009 ===
 +
* /group/poltar/HallC/SANE
 +
** all_data.csv contains NMR system meta-data
 +
** epics_export.txt contains EPICS meta-data
 +
** events folder contains online data with raw NMR signals
 +
** Several ipynb files give examples of reading the above files
 +
 +
=== EG4, 2006 ===
 +
* /group/poltar/HallB/EG4/eg4_nmr_clean
 +
** Data is in binary format. I'll provide a script to convert to text.
  
 
== Documentation ==
 
== Documentation ==
* Proposal: [https://www.overleaf.com/project/636ebdb8f12e5e40fc6750ab overleaf], [[File:FOA_002875_AIEC_v0.3.pdf|PDF]]
+
* Proposal: [https://www.overleaf.com/project/636ebdb8f12e5e40fc6750ab overleaf], [[Media:FOA_002875_AIEC_v0.3.pdf|PDF]]
 +
 
 +
=== Target ===
 +
* Victoria Lagerquist's thesis: [https://www.jlab.org/Hall-B/general/thesis/VLagerquist_thesis.pdf Design and Construction of a Longitudinally Polarized Solid Nuclear Target for CLAS12]
 +
* Noémie's polarization extracted from elastic scattering: [https://clasweb.jlab.org/wiki/index.php/Elastic_Analysis_for_PbPt_Extraction Elastic Analysis for PbPt extraction]
  
 
== Resources ==
 
== Resources ==
Line 26: Line 53:
 
!Type
 
!Type
 
!Notes
 
!Notes
 +
|-
 +
| The Stonehenge Technique. A new method for aligning coherent bremsstrahlung radiators ([https://www.sciencedirect.com/science/article/pii/S0168900209003477 NIM], [https://arxiv.org/abs/0809.1739 arXiv])
 +
| Paper
 +
|
 +
|-
 +
| [https://halldweb.jlab.org/doc-private/DocDB/ShowDocument?docid=2750 Coherent Bremsstrahlun of Electrons in Crystals](GlueX DocDB)
 +
| Paper
 +
|
 
|-
 
|-
 
| [https://vtechworks.lib.vt.edu/bitstream/handle/10919/115755/Maftouni_M_D_2023.pdf?sequence=1 Development of Novel Attention-Aware Deep Learning Models and Their Applications in Computer Vision and Dynamical System Calibration]
 
| [https://vtechworks.lib.vt.edu/bitstream/handle/10919/115755/Maftouni_M_D_2023.pdf?sequence=1 Development of Novel Attention-Aware Deep Learning Models and Their Applications in Computer Vision and Dynamical System Calibration]

Latest revision as of 17:01, 29 April 2024


Meetings

Repositories

Raw data storage

  • Photon Source: /work/halld3/home/AIOP/source/
  • Target: /work/halld3/home/AIOP/target/

Presentations/Papers

Date Presenter Event Slides Proceedings

Experimental Data Locations

Run Group C, 2022-23

  • /group/poltar/HallB/RGC
    • Proton data in directory data-p
    • Deuteron data in directory data-d

SANE, 2009

  • /group/poltar/HallC/SANE
    • all_data.csv contains NMR system meta-data
    • epics_export.txt contains EPICS meta-data
    • events folder contains online data with raw NMR signals
    • Several ipynb files give examples of reading the above files

EG4, 2006

  • /group/poltar/HallB/EG4/eg4_nmr_clean
    • Data is in binary format. I'll provide a script to convert to text.

Documentation

Target

Resources

Title/Link Type Notes
The Stonehenge Technique. A new method for aligning coherent bremsstrahlung radiators (NIM, arXiv) Paper
Coherent Bremsstrahlun of Electrons in Crystals(GlueX DocDB) Paper
Development of Novel Attention-Aware Deep Learning Models and Their Applications in Computer Vision and Dynamical System Calibration Thesis