Speaker
Description
Extended $\gamma$-ray sources, such as TeV halos, evolved pulsar wind nebulae, and star clusters, impose a challenge to analyses of Imaging Atmospheric Cherenkov Telescope (IACT) data due to the difficulty in estimating irreducible background originating from cosmic-ray-induced $\gamma$-ray-like events in the source regions. A background estimation method is necessary to address IACT analyses in the cases when the source angular size exceeds or occupies a significant part of the field-of-view. The proposed new method analyzes the distribution of cosmic-ray-like events in the coordinate of $\gamma$-ray camera using singular value decomposition (SVD) to derive the irreducible background estimation. This data-driven method significantly reduces the systematic uncertainty on the background estimation, and the method performance is evaluated using VERITAS archival observations.
| Type of Contribution | talk |
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