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Convolutional non-parametric Gamma-Ray Signal and Background Separation
Scarlet Betterman, Emmanuel Moulin, Martin White
In very-high-energy gamma-ray astronomy, signals must be separated from the residual background which arises from misidentified cosmic-ray protons. Building on previous work, we in…
Constraining cosmological parameters from very-high-energy -ray attenuation in blazar spectra: Bayesian inference and systematic uncertainties
Patryk Liniewicz, Emmanuel Moulin
Very-high-energy rays from active galactic nuclei are attenuated through pair production on the extragalactic background light (EBL), providing a probe of cosmic expansion. We…
Assessing the sensitivity to Axion-Like-Particle Dark Matter with very-high-energy gamma-ray observations of selected AGN and galaxy cluster pairs
Cervane Grimaud, Denys Malyshev, Emmanuel Moulin
Axion-Like-Particles (ALPs) are pseudo-scalar particles actively searched as light dark matter candidates. ALPs can couple to photons which give rise to the possibility of oscillat…
Search for dark matter around intermediate mass black holes with the H.E.S.S. experiment
Jann Aschersleben, Dieter Horns, Emmanuel Moulin +1
Intermediate mass black holes (IMBHs), with masses ranging from a hundred and a million solar masses, are hypothesised to be surrounded by dense regions of dark matter known as dar…
Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks
Marion Ullmo, Emmanuel Moulin
An intriguing challenge in observational astronomy is the separation signals in areas where multiple signals intersect. A typical instance of this in very-high-energy (VHE, E$\gtrs…