Evidence for long-term Gamma-ray and X-ray variability from the unidentified TeV source HESS J0632+057
VERITAS Collaboration: V. A. Acciari, E. Aliu, T. Arlen, M. Beilicke,, W. Benbow, D. Boltuch, S. M. Bradbury, J. H. Buckley, V. Bugaev, K. Byrum, A., Cannon, A. Cesarini, A. Cesarini, Y. C. Chow, L. Ciupik, P. Cogan, R., Dickherber, C. Duke, T. Ergin, A. Falcone, S. J. Fegan

TL;DR
This study presents long-term gamma-ray and X-ray observations of HESS J0632+057, providing evidence of variability that supports its classification as a gamma-ray binary system, despite non-detections in gamma rays during certain periods.
Contribution
The paper provides the first long-term variability analysis of HESS J0632+057 in gamma-ray and X-ray bands, strengthening its identification as a gamma-ray binary.
Findings
No significant gamma-ray signal detected above 1 TeV in 2006, 2008, 2009.
Gamma-ray flux is variable, with non-steady emission confirmed.
X-ray flux increased by a factor of 1.8, indicating variability.
Abstract
HESS J0632+057 is one of only two unidentified very-high-energy gamma-ray sources which appear to be point-like within experimental resolution. It is possibly associated with the massive Be star MWC 148 and has been suggested to resemble known TeV binary systems like LS I +61 303 or LS 5039. HESS J0632+057 was observed by VERITAS for 31 hours in 2006, 2008 and 2009. During these observations, no significant signal in gamma rays with energies above 1 TeV was detected from the direction of HESS J0632+057. A flux upper limit corresponding to 1.1% of the flux of the Crab Nebula has been derived from the VERITAS data. The non-detection by VERITAS excludes with a probability of 99.993% that HESS J0632+057 is a steady gamma-ray emitter. Contemporaneous X-ray observations with Swift XRT reveal a factor of 1.8+-0.4 higher flux in the 1-10 keV range than earlier X-ray observations of HESS…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
