Tootfinder

Mitigating Polarization Leakage in Gas Pixel Detectors through Hybrid Machine Learning and Analytic Event Reconstruction
Nicol\'o Cibrario, Michela Negro, Raffaella Bonino, Nikita Moriakov, Luca Baldini, Niccol\'o Di Lalla, Alessandro Di Marco, Sergio Fabiani, Andrea Frass\'a, Alessio Gorgi, Fabio La Monaca, Luca Latronico, Simone Maldera, Alberto Manfreda, Fabio Muleri, Nicola Omodei, John Rankin, Carmelo Sgr\'o, Stefano Silvestri, Paolo Soffitta, Stefano Tugliani

Mitigating Polarization Leakage in Gas Pixel Detectors through Hybrid Machine Learning and Analytic Event Reconstruction
Spatially resolved polarization measurements of extended X-ray sources are expanding our understanding of the emission mechanisms and magnetic field properties involved. Such measurements have been possible in the past few years thanks to the Imaging X-ray Polarimetry Explorer (IXPE). However, the analysis of extended sources suffers a systematic effect known as polarization leakage, which artificially affects the measured polarization signal. To address this issue, we built a hybrid reconstruc…