241 citations · 1k across the 36 of their papers we have counts for
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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…
Measurement of the extragalactic background light spectral energy distribution with VERITAS
VERITAS collaboration, A. U. Abeysekara, A. Archer +59
The extragalactic background light (EBL), a diffuse photon field in the optical and infrared range, is a record of radiative processes over the Universe's history. Spectral measure…
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…