1.3k citations · 6.1k across the 35 of their papers we have counts for
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astro-ph.HE2023★ 1 cited
Modeling blazar broadband emission with convolutional neural networks -- I. Synchrotron self-Compton model
Damien Bégué, Narek Sahakyan, Hüsne Dereli Bégué +5
Modeling the multiwavelength spectral energy distributions (SEDs) of blazars provides key insights into the underlying physical processes responsible for the emission. While SED mo…
astro-ph.HE2023
Firmamento: a multi-messenger astronomy tool for citizen and professional scientists
Dhurba Tripathi, Paolo Giommi, Adriano Di Giovanni +12
Firmamento (https://firmamento.hosting.nyu.edu) is a new-concept web-based and mobile-friendly data analysis tool dedicated to multi-frequency/multi-messenger emitters, as exemplif…