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Marine Prunier

Doctorat - UdeM
Superviseur⋅e principal⋅e
Julie Hlavacek-Larrondo
Sujets de recherche
Astrophysique computationnelle
Site web

Publications

Deconvolving X-ray Galaxy Cluster Spectra Using a Recurrent Inference Machine
C. L. Rhea
J. Hlavacek-Larrondo
Alexandre Adam
Ralph P. Kraft
Ákos Bogdán
Laurence Perreault-Levasseur
Marine Prunier
Recent advances in machine learning algorithms have unlocked new insights in observational astronomy by allowing astronomers to probe new fr… (voir plus)ontiers. In this article, we present a methodology to disentangle the intrinsic X-ray spectrum of galaxy clusters from the instrumental response function. Employing state-of-the-art modeling software and data mining techniques of the Chandra data archive, we construct a set of 100,000 mock Chandra spectra. We train a recurrent inference machine (RIM) to take in the instrumental response and mock observation and output the intrinsic X-ray spectrum. The RIM can recover the mock intrinsic spectrum below the 1-
2024-09-16
ArXiv (prépublication)
doi.org
arxiv.org