A new method of reconstructing images of gamma-ray telescopes applied to the LST-1 of CTAO
CTA-LST Project: K. Abe (1), S. Abe (2), A. Abhishek (3), F. Acero, (4,5), A. Aguasca-Cabot (6), I. Agudo (7), C. Alispach (8), N. Alvarez Crespo, (9), D. Ambrosino (10), L. A. Antonelli (11), C. Aramo (10), A. Arbet-Engels, (12), C. Arcaro (13), K. Asano (2), P. Aubert (14)

TL;DR
This paper presents a novel event reconstruction technique for gamma-ray imaging atmospheric Cherenkov telescopes, notably applied to LST-1, significantly enhancing resolution and sensitivity in gamma-ray detection.
Contribution
The paper introduces a new waveform-based reconstruction method that models air shower development, improving image quality and particle discrimination for CTAO telescopes.
Findings
10-20% improvement in angular and energy resolution across most energies
Up to 50% enhancement in low-energy sensitivity
Promising performance gains demonstrated on simulated and real Crab Nebula data
Abstract
Imaging atmospheric Cherenkov telescopes (IACTs) are used to observe very high-energy photons from the ground. Gamma rays are indirectly detected through the Cherenkov light emitted by the air showers they induce. The new generation of experiments, in particular the Cherenkov Telescope Array Observatory (CTAO), sets ambitious goals for discoveries of new gamma-ray sources and precise measurements of the already discovered ones. To achieve these goals, both hardware and data analysis must employ cutting-edge techniques. This also applies to the LST-1, the first IACT built for the CTAO, which is currently taking data on the Canary island of La Palma. This paper introduces a new event reconstruction technique for IACT data, aiming to improve the image reconstruction quality and the discrimination between the signal and the background from misidentified hadrons and electrons. The technique…
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