40 citations · 72 across the 9 of their papers we have counts for
10 papers
A Multiwavelength Study of a Long-Duration VHE Flare from BL Lacertae with VERITAS
Atreya Acharyya, Avery Archer, Priyadarshini Bangale +72
We report the first observations of a long-duration very-high-energy (VHE; GeV) flare from BL Lacertae (VER J2202+422), taken with the Very Energetic Radiation Imaging Te…
Exploring the Potential of the Pulsed Laser onboard the CALIPSO Satellite to Improve Calibration with VERITAS
Gregory Foote
Imaging Atmospheric Cherenkov Telescopes (IACTs) are used to detect bright nanosecond-duration flashes of optical light originating from interactions of cosmic/gamma-rays in the at…
VTSCat: The VERITAS Catalog of Gamma-Ray Observations
A. Acharyya, C. B. Adams, A. Archer +86
The ground-based gamma-ray observatory VERITAS (Very Energetic Radiation Imaging Telescope Array System) is sensitive to photons of astrophysical origin with energies in the range…
Gamma-ray and Optical Observations of Repeating Fast Radio Bursts with VERITAS
Matthew Lundy
Fast radio burst (FRBs) are an exciting class of bright, extragalactic, millisecond radio transients. The recent development of large field-of-view (FOV) radio telescopes has cause…
TeV and optical observations of the Be/pulsar binary 1A0535+262 during the 2020 giant outburst
Matthew Lundy
1A 0535+262 is a Be X-ray binary pulsar and one of the only galactic pulsar systems to show radio jet emission. Characterizing the very high energy emission (VHE, >100 GeV) in thes…
An Archival Search for Very-High-Energy Counterparts to Sub-Threshold Neutron-Star Merger Candidates
Colin Adams, Imre Bartos, K. Rainer Corley +3
The recent discovery of electromagnetic signals in coincidence with gravitational waves from neutron-star mergers has solidified the importance of multimessenger campaigns for stud…
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…
Muon Hunter: a Zooniverse project
R. Bird, M. K. Daniel, H. Dickinson +8
The large datasets and often low signal-to-noise inherent to the raw data of modern astroparticle experiments calls out for increasingly sophisticated event classification techniqu…
A citizen-science approach to muon events in imaging atmospheric Cherenkov telescope data: the Muon Hunter
Q. Feng, J. Jarvis
Event classification is a common task in gamma-ray astrophysics. It can be treated with rapidly-advancing machine learning algorithms, which have the potential to outperform tradit…
Multiwavelength Observations of the Previously Unidentified Blazar RX J0648.7+1516
E. Aliu, T. Aune, M. Beilicke +84
We report on the VERITAS discovery of very-high-energy (VHE) gamma- ray emission above 200 GeV from the high-frequency-peaked BL Lac object RXJ0648.7+1516 (GBJ0648+1516), associate…