8 citations · 17 across the 24 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
astro-ph.IM2022
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…
astro-ph.IM2022★ 1 cited
X-ray speed reading: enabling fast, low noise readout for next-generation CCDs
S. Herrmann, P. Orel, T. Chattopadhyay +7
Current, state-of-the-art CCDs are close to being able to deliver all key performance figures for future strategic X-ray missions except for the required frame rates. Our Stanford…