Iterative-Bayesian unfolding of isotopic cosmic-ray fluxes measured by AMS-02
E. F. Bueno, F. Bar\~ao, M. Vecchi

TL;DR
This paper presents an iterative-Bayesian unfolding method for accurately extracting isotopic cosmic-ray fluxes from AMS-02 data, accounting for instrumental effects and combining measurements from multiple subdetectors.
Contribution
The work introduces a novel iterative-Bayesian unfolding approach with non-parametric regularization for AMS-02 isotopic flux measurements, improving accuracy and reliability.
Findings
Method accurately recovers true fluxes across energy range.
Approach is fast and reliable for complex detector responses.
Combines data from TOF and RICH detectors effectively.
Abstract
The measurement of the isotopic composition of cosmic rays (CRs) provides essential insights the understanding of the origin and propagation of these particles, namely the CR source spectra, the propagation processes and the galactic halo size. The Alpha Magnetic Spectrometer (AMS-02), a CR detector operating aboard the International Space Station since May 2011, has the capability of performing these measurements due to its precise determination of the velocity provided by its Time of Flight (TOF) and Ring Imaging Cherenkov (RICH) detector. The correct interpretation of the data requires the measurements to be deconvoluted from the instrumental effects. The unique design of AMS-02, with more than one subdetector being used to measure the same flux, requires a novel approach to unfold the measured fluxes. In this work, we describe an iterative-Bayesian unfolding method applied in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAtomic and Subatomic Physics Research · Dark Matter and Cosmic Phenomena · Atmospheric Ozone and Climate
