Performance of the HAWC Observatory and TeV Gamma-Ray Measurements of the Crab Nebula with Improved Extensive Air Shower Reconstruction Algorithms
A . Albert, R. Alfaro, C. Alvarez, A . Andr\'es, J.C., Arteaga-Vel\'azquez, D. Avila Rojas, H.A. Ayala Solares, R. Babu, E., Belmont-Moreno, K.S. Caballero-Mora, T. Capistr\'an, A. Carrami\~nana, S., Casanova, U. Cotti, J. Cotzomi, S. Couti\~no de Le\'on, E. De la Fuente, C.

TL;DR
The HAWC Observatory has significantly improved its air shower reconstruction algorithms, enhancing gamma-ray detection and background rejection, leading to better sensitivity and the ability to observe more sources like the Galactic Center.
Contribution
This paper introduces new reconstruction algorithms that improve energy resolution, angular accuracy, and background separation in HAWC data analysis.
Findings
Enhanced angular resolution by a factor of four at high energies and large zenith angles.
Improved background rejection using lateral distribution function fitting.
Increased sensitivity enabling detection of more sources, including the Galactic Center.
Abstract
The High-Altitude Water Cherenkov (HAWC) Gamma-Ray Observatory located on the side of the Sierra Negra volcano in Mexico, has been fully operational since 2015. The HAWC collaboration has recently significantly improved their extensive-air-shower reconstruction algorithms, which has notably advanced the observatory performance. The energy resolution for primary gamma rays with energies below 1~TeV was improved by including a noise-suppression algorithm. Corrections have also been made to systematic errors in direction fitting related to the detector and shower plane inclinations, biases in highly inclined showers, as well as enhancements to the core reconstruction. The angular resolution for gamma rays approaching the HAWC array from large zenith angles () has improved by a factor of four at the highest energies (~TeV) as compared to…
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Radio Astronomy Observations and Technology · Computational Physics and Python Applications
