From the 1 of 10 linked papers with an AI index.
2 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
Focal Plane of the Arcus Probe X-Ray Spectrograph
Catherine E. Grant, Marshall W. Bautz, Eric D. Miller +7
The Arcus Probe mission concept provides high-resolution soft X-ray and UV spectroscopy to reveal feedback-driven structure and evolution throughout the universe with an agile resp…
Unveiling the Cosmic Chemistry: Revisiting the Mass-Metallicity Relation with JWST/NIRSpec at 4 < z < 10
Arnab Sarkar, Priyanka Chakraborty, Mark Vogelsberger +12
We present star formation rates (SFR), the mass-metallicity relation (MZR), and the SFR-dependent MZR across redshifts 4 to 10 using 81 star-forming galaxies observed by the JWST N…
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…
Advancing Precision Particle Background Estimation for Future X-ray Missions: Correlated Variability between AMS and Chandra/XMM-Newton
Arnab Sarkar, Catherine E. Grant, Eric D. Miller +9
Galactic cosmic ray (GCR) particles have a significant impact on the particle-induced background of X-ray observatories, and their flux exhibits substantial temporal variability, p…