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…

Steve Bannon confronted over Jeffrey #Epstein at #MAGA event: **‘Trump has become the deep state!’** | The Independent
https://www.independent.co.uk/news/world/americas/us-politics/steven-bannon-epstein-trump-deep-state-b2787623.html

Ausstellung - Frauen in den Bäumen: 80 Jahre Kriegsende
Garten der #Frauen - Friedhof Ohlsdorf in #Hamburg

CycleGAN-Driven Transfer Learning for Electronics Response Emulation in High-Purity Germanium Detectors
Kevin Bhimani, Julieta Gruszko, Morgan Clark, John Wilkerson, Aobo Li
https://arxiv.org/abs/2507.09106

CycleGAN-Driven Transfer Learning for Electronics Response Emulation in High-Purity Germanium Detectors
High-Purity Germanium (HPGe) detectors are a key technology for rare-event searches such as neutrinoless double-beta decay ($0νββ$) and dark matter experiments. Pulse shapes from these detectors vary with interaction topology and thus encode information critical for event classification. Pulse shape simulations (PSS) are essential for modeling analysis cuts that distinguish signal events from backgrounds and for generating reliable simulations of energy spectra. Traditional PSS methods rely …