Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 78: Gamma Astronomy II

T 78.2: Vortrag

Donnerstag, 3. April 2025, 16:30–16:45, VG 2.103

Adaptive Sampling in Simulations for the Cherenkov Telescope Array Observatory — •Tristan Gradetzke and Luca Di Bella — TU Dortmund University

Monte Carlo simulations of particle induced extensive air showers are of crucial importance to the analysis chain of data taken by Imaging Air Cherenkov Telescopes (IACTs). Besides for the training of particle classifiers and energy estimators, they are needed to compute a mathematical description of the measurement process required for the scientific analysis, the Instrument Response Functions (IRFs). There usage however, comes at the extensive cost of computational resources. Therefore much effort has been made to this day, to make these simulations more efficient. This work aims at investigating, among others, adaptive sampling based methods to sample only phase-space regions improving event statistics and to a limited extent uncertainties in e.g. IRFs. Thus reducing the extent of Monte Carlo productions. Phase space in this context refers to, among others, detector field of view and primary particle energy . The main challenges arise from the definition of a metric, that is optimized by any given algorithm. Here, the simple case of an event-per-bin based metric is presented and an outlook is given.

Keywords: Gamma Ray Astronomy; Adaptive Sampling; Simulation; Extensive Air Shower; CTAO