Skip to Main content Skip to Navigation
Journal articles

A likelihood method to cross-calibrate air-shower detectors

Abstract : We present a detailed statistical treatment of the energy calibration of hybrid air-shower detectors, which combine a surface detector array and a fluorescence detector, to obtain an unbiased estimate of the calibration curve. The special features of calibration data from air showers prevent unbiased results, if a standard least-squares fit is applied to the problem. We develop a general maximum-likelihood approach, based on the detailed statistical model, to solve the problem. Our approach was developed for the Pierre Auger Observatory, but the applied principles are general and can be transferred to other air-shower experiments, even to the cross-calibration of other observables. Since our general likelihood function is expensive to compute, we derive two approximations with significantly smaller computational cost. In the recent years both have been used to calibrate data of the Pierre Auger Observatory. We demonstrate that these approximations introduce negligible bias when they are applied to simulated toy experiments, which mimic realistic experimental conditions.
Complete list of metadata
Contributor : Sabine Starita Connect in order to contact the contributor
Submitted on : Wednesday, April 8, 2015 - 2:38:30 PM
Last modification on : Wednesday, September 16, 2020 - 4:28:11 PM

Links full text





Hans Peter Dembinski, Balázs Kégl, Ioana C. Mariş, Markus Roth, Darko Veberič. A likelihood method to cross-calibrate air-shower detectors. Astroparticle Physics, Elsevier, 2016, 73, pp.44-51. ⟨10.1016/j.astropartphys.2015.08.001⟩. ⟨in2p3-01140379⟩



Les métriques sont temporairement indisponibles