1.3k citations · 6.1k across the 35 of their papers we have counts for
35 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…
Impact of Spectral Coverage on Parameter recovery in Blazar Modeling
N. Sahakyan, D. Bégué, P. Giommi +2
Understanding the impact of spectral coverage on parameter recovery is critical for accurate interpretation of blazar spectra. In this study, we examine how the data coverage influ…
1FLAT: a Firmamento-based catalog of AGN in Fermi-LAT high Galactic latitude γ-ray sources
P. Giommi, M. Doro, M. Gouvêa +15
We present a systematic reassessment of 5,062 high-Galactic latitude gamma-ray sources from the Fermi-LAT 4FGL-DR4 catalog using Firmamento, a web-based platform for multi-frequenc…
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…
Markarian Multiwavelength Data Center (MMDC): A Tool for Retrieving and Modeling Multi-temporal, Multi-wavelength and Multi-messenger Data from Blazar Observations
N. Sahakyan, V. Vardanyan, P. Giommi +7
The Markarian Multiwavelength Data Center (MMDC) is a web-based tool designed for accessing and retrieving multiwavelength and multimessenger data from blazar observations. MMDC fa…
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…