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The last years have seen a revolution in ground-based gamma-ray detectors. We can now detect the spectra of nearby TeV blazars like Mrk 421 and 501 out to approximately 20 TeV, and during the strongest flares, we can now follow fluctuations…

Astrophysics · Physics 2009-10-31 Paolo S. Coppi , Felix A. Aharonian

We model the morphology and spectrum of a pulsar wind nebula using a leptonic emission code. This code is a time-dependent, multi-zone model that investigates the changes in the particle spectrum as they traverse the nebula. We calculate…

High Energy Astrophysical Phenomena · Physics 2018-10-01 Carlo van Rensburg , Christo Venter P. Paulus Kruger

This work introduces a lean CNN (convolutional neural network) framework, with a drastically reduced number of fittable parameters (<81K) compared to the benchmarks in current literature, to capture the underlying low-computational cost…

Materials Science · Physics 2025-05-16 Pranoy Ray , Kamal Choudhury , Surya R. Kalidindi

We report the variation of the spectral energy distribution (SED) of blazars as a function of source activity, based on available, simultaneous multi-wavelength (MWL) observations of BL Lac objects. We use a fully automatized \c{hi}2…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-03 Nijil Mankuzhiyil , Stefano Ansoldi , Massimo Persic , Fabrizio Tavecchio

By including Klein-Nishina effects, we generalize previous calculations of the beaming pattern of photons produced by inverse Compton scattering. For an isotropic distribution of soft photons upscattered by nonthermal electrons with a…

Astrophysics · Physics 2016-08-30 M. Georganopoulos , J. G. Kirk , A. Mastichiadis

Disentangling coherent and incoherent effects in the photoemission spectra of strongly correlated materials is generally a challenging problem due to the involvement of numerous parameters. In this study, we employ machine learning…

Superconductivity · Physics 2024-12-17 K. H. Bohachov , A. A. Kordyuk

Boron Neutron Capture Therapy (BNCT) is an innovative binary form of radiation therapy with high selectivity towards cancer tissue based on the neutron capture reaction 10B(n,$\alpha$)7Li, consisting in the exposition of patients to neutron…

We analyse the influence of the stochastic particle acceleration for the evolution of the electron spectrum. We assume that all investigated spectra are generated inside a spherical, homogeneous source and also analyse the synchrotron and…

Astrophysics · Physics 2009-11-11 K. Katarzynski , G. Ghisellini , A. Mastichiadis , F. Tavecchio , L. Maraschi

Convolutional neural networks (CNNs) have been employed along with Variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. In order to do so, however, a CNN with only linearly many…

Quantum Physics · Physics 2022-10-04 Yilong Ju , Shah Saad Alam , Jonathan Minoff , Fabio Anselmi , Han Pu , Ankit Patel

The Fermi Gamma-Ray Space Telescope observations of blazars show a strong correlation between the spectral index of their gamma-ray spectra and their synchrotron peak frequency $\nu_{\rm{pk}}^{\rm{syn}}$; additionally, the rate of Compton…

High Energy Astrophysical Phenomena · Physics 2018-10-17 Stella Boula , Demosthenes Kazanas , Apostolos Mastichiadis

For the high-frequency peaked BL Lac object Mrk 421 we study the variation of the spectral energy distribution (SED) as a function of source activity, from quiescent to active. We use a fully automatized chi-squared minimization procedure,…

High Energy Astrophysical Phenomena · Physics 2015-05-27 Nijil Mankuzhiyil , Stefano Ansoldi , Massimo Persic , Fabrizio Tavecchio

Blazar TXS 0506+056 is the main candidate for a coincident neutrino and gamma-ray flare event. In this paper, we present a detailed kinetic lepto-hadronic emission model capable of producing a photon and neutrino spectrum given a set of…

High Energy Astrophysical Phenomena · Physics 2020-12-09 Bruno Jiménez-Fernández , H. J. van Eerten

The spectra of blazars form a sequence which can be parametrized in term of their observed bolometric luminosity. At the most powerful extreme of the sequence we find objects whose jet power can rival the power extracted by accretion, while…

Astrophysics · Physics 2007-05-23 G. Ghisellini

The emission mechanism of the gamma-ray bursts (GRBs) is still a matter of debates. The standard synchrotron energy spectrum of cooling electrons F_E ~ E^{-1/2} is much too soft to account for the majority of the observed spectral slopes.…

Astrophysics · Physics 2009-11-10 Boris E. Stern , Juri Poutanen

We will present a summary of the observations of blazars by the Energetic Gamma Ray Experiment Telescope (EGRET) on the Compton Gamma Ray Observatory (CGRO). EGRET has detected high energy gamma-ray emission at energies greater than 100 MeV…

Astrophysics · Physics 2016-01-27 R. Mukherjee

We summarize broadband observations of the TeV-emitting blazar 1ES 1959+650, including optical R-band observations by the robotic telescopes Super-LOTIS and iTelescope, UV observations by Swift UVOT, X-ray observations by the Swift X-ray…

We develop a model for a possible origin of hard very high energy spectra from a distant blazar. In the model, both the primary photons produced in the source and secondary photons produced outside the source contribute to the observed high…

High Energy Astrophysical Phenomena · Physics 2016-09-30 Y. G. Zheng , T. Kang

Most modeling attempts of blazars use a small emission zone located close to the central black hole in order to explain the broad-band spectral energy distribution. Here we present a case where additionally to the small region a…

High Energy Astrophysical Phenomena · Physics 2017-08-09 Michael Zacharias , Stefan Wagner

Non-thermal quiescent X-ray emission extending between 10 keV and around 150 keV has been seen in about 10 magnetars by RXTE, INTEGRAL, Suzaku, NuSTAR and Fermi-GBM. For inner magnetospheric models of such hard X-ray signals, inverse…

High Energy Astrophysical Phenomena · Physics 2018-01-17 M. G. Baring , Z. Wadiasingh , P. L. Gonthier , A. K. Harding

The use of neural networks and deep learning techniques in image processing has significantly advanced the field, enabling highly accurate recognition results. However, achieving high recognition rates often necessitates complex network…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Md Laraib Salam , Akash S Balsaraf , Gaurav Gupta , Ashish Rajeshwar Kulkarni
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