72 citations · 111 across the 7 of their papers we have counts for
7 papers
Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes
Aryeh Brill, Qi Feng, T. Brian Humensky +3
Imaging atmospheric Cherenkov telescope (IACT) arrays record images from air showers initiated by gamma rays entering the atmosphere, allowing astrophysical sources to be observed…
Studying deep convolutional neural networks with hexagonal lattices for imaging atmospheric Cherenkov telescope event reconstruction
D. Nieto, A. Brill, Q. Feng +4
Deep convolutional neural networks (DCNs) are a promising machine learning technique to reconstruct events recorded by imaging atmospheric Cherenkov telescopes (IACTs), but require…
CTLearn: Deep Learning for Gamma-ray Astronomy
D. Nieto, A. Brill, Q. Feng +5
CTLearn is a new Python package under development that uses the deep learning technique to analyze data from imaging atmospheric Cherenkov telescope (IACT) arrays. IACTs use the Ch…
Probing the Properties of the Pulsar Wind in the Gamma-Ray Binary HESS J0632+057 with NuSTAR and VERITAS Observations
A. Archer, W. Benbow, R. Bird +60
HESS J0632+057 is a gamma-ray binary composed of a compact object orbiting a Be star with a period of about days. Extensive X-ray and TeV gamma-ray observations have revealed…
Camera design and performance of the prototype Schwarzschild-Couder Telescope for the Cherenkov Telescope Array
C. Adams, G. Ambrosi, M. Ambrosio +49
The Schwarzschild-Couder Telescope (SCT) is a candidate technology for a medium-sized telescope within the Cherenkov Telescope Array, the next generation ground based observatory f…
Prototype Schwarzschild-Couder Telescope for the Cherenkov Telescope Array: Commissioning Status of the Optical System
C. Adams, G. Ambrosi, M. Ambrosio +56
The Cherenkov Telescope Array (CTA), with more than 100 telescopes, will be the largest ever ground-based gamma-ray observatory and is expected to greatly improve on both gamma-ray…