Published July 2, 2024
| Version v1.0.0
Software
Open
migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment
Description
migYOLO v1.0.0
migYOLO is the software accompanying the MIGDAL collaboration paper titled Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection. This package includes model weights for two YOLOv8m models custom trained on image data recorded by the ORCA Quest qCMOS camera readout of the MIGDAL TPC, as well as a sample of 800 raw camera images to demonstrate usage of the pipeline, and 400 additional camera frames for benchmarking the processing speed of the camera.
Please consult the migYOLO git repository and official documentation for more detailed descriptions of the software package and its contents, as well as up to date information about installation and usage.
Files
jschuel/migYOLO-v1.0.0.zip
Files
(19.1 MB)
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md5:efb67b2645731a7be734467fb572909d
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Additional details
Related works
- Is documented by
- Other: https://migyolo.readthedocs.io/en/latest/index.html (URL)
- Is supplement to
- Preprint: arXiv:2406.07538 (arXiv)
- Is variant form of
- Software: https://github.com/jschuel/migYOLO/tree/v1.0.0 (URL)
Funding
- U.S. National Science Foundation
- Enhancing The MIGDAL Experiment's Sensitivity in the Low Energy Regime Relevant to Dark Matter Searches 2209307
- United States Department of Energy
- R&D to Detect the Migdal Effect in a Negative-Ion TPC DE-SC0022357
- UK Research and Innovation
- XENON FUTURES: R&D for a Global Rare Event Observatory - Phase 1 ST/T005823/1
- UK Research and Innovation
- XENON FUTURES: R&D for a Global Rare Event Observatory - Phase 1 ST/T005882/1
- UK Research and Innovation
- XENON FUTURES: R&D for a Global Rare Event Observatory - Phase 2 ST/V001833/1
- UK Research and Innovation
- Xenon Futures: R&D For A Global Rare Event Observatory (Phase 2) ST/V001876/1
- UK Research and Innovation
- The study of elementary particles and their interactions (Consolidated Grant 2022 - 2025) ST/W000636/1
- UK Research and Innovation
- The study of elementary particles and their interactions (PPGPE Responsive PDRA Call 2022) ST/X006042/1
- UK Research and Innovation
- Pathways between Fundamental Physics and Phenomenology ST/T000759/1
- UK Research and Innovation
- Birmingham Experimental Particle Physics Consolidated Grant 2022-25 ST/W000652/1
- UK Research and Innovation
- Experimental Particle Physics Consolidated Grant 2019-2022 ST/S000860/1
- UK Research and Innovation
- Responsive RAs for the Birmingham Experimental Particle Physics Programme ST/X005976/1
- UK Research and Innovation
- RAL Studentship on G3 Dark Matter at Imperial ST/T505894/1
- UK Research and Innovation
- RAL Studentship at Birmingham 2022 ST/X508913/1
- Fundação para a Ciência e Tecnologia
- Participation in the LUX-ZEPLIN experiment: analysis of the data from the first science run and preparations for the second run PTDC/FIS-PAR/2831/2020
- European Union
- Search for light Dark Matter with a Spherical Proportional Counter 841261
- European Union
- Advanced Simulation Techniques for Gaseous Detectors: Application on Spherical Proportional Counters 101026519
- Deutsche Forschungsgemeinschaft
- EXC 2121: Quantum Universe 390833306
- Ministerio de Universidades
- CA3/RSUE/2021-00827 CA3/RSUE/2021-00827
- Fermi National Accelerator Laboratory
- Graduate Instrumentation Research Award (GIRA) 2022-2023: Development of a Negative Ion Gas TPC to Observe the Migdal Effect 693738
Software
- Repository URL
- https://github.com/jschuel/migYOLO/tree/v1.0.0
- Programming language
- Python , Jupyter Notebook , Shell
- Development Status
- Active