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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…
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…