Y3 Advanced Gamma-Ray Science Methods and Tools
The goal of this project is to study modern techniques of signal processing from the wider scientific and mathematical community and apply them to the analysis of very-high-energy gamma ray data. This applies both to the reconstruction of raw data from Cherenkov telescopes, where we strive to lower the energy threshold and improve angular resolution and cosmic-ray rejection, to the realtime detection of transient sources in high-level data. This study will benefit current and future gamma ray instruments, in particular the upcoming Cherenkov Telescope Array (CTA) observatory while simultaneously giving visibility to local groups within several large projects.
POSITION NAME SURNAME LABORATORY NAME GRADE, EMPLOYER WP leader Karl KOSACK AIM CDI, CEA WP member Jérémie Decock AIM Postdoc, Univ. Paris VII WP member Sandrine Pires CosmoStat CDI, CEA WP member Bruno Khelifi APC CDI, CNRS WP member Fabio Acéro AIM CDI, CNRS WP member Tino Michael AIM Postdoc, ASTERICS WP member Thierry Stolarczyk AIM CDI, CEA
2016 Milestones :
- Implemented CosmoStat image de-noising algorithms for Cherenkov data.
- Extensive study of low-level image parameters using realistic simulations with CTA data to study improvement over existing techniques.
- Preliminary results show improved PSF and energy reconstruction at the Cherenkov image level.
- Application to gamma-ray shower reconstruction additionally shows improvement at the image-level improves the accuracy and number of showers reconstructed, which implies better gamma-ray PSF and sensitivity.