5 papers
Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness
Artem Poliszczuk, Dan Wilkins, Steven W. Allen +15
Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a…
Augmenting astronomical X-ray detectors with AI for enhanced sensitivity and reduced background
D. R. Wilkins, A. Poliszczuk, B. Schneider +13
Bringing artificial intelligence (AI) alongside next-generation X-ray imaging detectors, including CCDs and DEPFET sensors, enhances their sensitivity to achieve many of the flagsh…
X-ray speed reading with the MCRC: prototype success and next generation upgrades
Peter Orel, Abigail Y. Pan, Sven Herrmann +12
The Advanced X-ray Imaging Satellite (AXIS) is a NASA probe class mission concept designed to deliver arcsecond resolution with an effective area ten times that of Chandra (at laun…
Curved detectors for future X-ray astrophysics missions
Eric D. Miller, James A. Gregory, Marshall W. Bautz +17
Future X-ray astrophysics missions will survey large areas of the sky with unparalleled sensitivity, enabled by lightweight, high-resolution optics. These optics inherently produce…
Reducing the background in X-ray imaging detectors via machine learning
D. R. Wilkins, S. W. Allen, E. D. Miller +9
The sensitivity of astronomical X-ray detectors is limited by the instrumental background. The background is especially important when observing low surface brightness sources that…