1 citations · 1 across the 3 of their papers we have counts for
4 papers
AstroGenesis: A Domain-Specific Multi-Agent AI for Astrophysical Research
N. Sahakyan, M. Khachatryan, A. Mahabal +13
Modern astrophysical research requires the integration of rapidly expanding scientific literature, heterogeneous observational data, and increasingly complex physical models. We in…
Modeling blazar broadband emission with convolutional neural networks -- III. proton synchrotron and hybrid models
N. Sahakyan, D. Bégué, A. Casotto +5
Modeling the broadband emission of blazars has become increasingly challenging with the advent of multimessenger observations. Building upon previous successes in applying convolut…
Modeling blazar broadband emission with convolutional neural networks -- II. External Compton model
N. Sahakyan, D. Bégué, A. Casotto +6
In the context of modeling spectral energy distributions (SEDs) for blazars, we extend the method that uses a convolutional neural network (CNN) to include external inverse Compton…
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…