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The ANTARES telescope is well suited to detect neutrinos produced in astrophysical transient sources as it can observe a full hemisphere of the sky at all times with a high duty cycle. The background and point source sensitivity can be…

High Energy Astrophysical Phenomena · Physics 2019-08-13 D. Dornic

The Fermi Large Area Telescope (LAT) provides advantages for radio pulsar searches by enabling efficient target selection. We can confidently point radio telescopes to the positions of Fermi unidentified gamma-ray sources that have a high…

The dramatic increase in the number of known gamma-ray pulsars since the launch of the Fermi Gamma-ray Space Telescope (formerly GLAST) offers the first opportunity to study a population of these high-energy objects. This catalog summarizes…

High Energy Astrophysical Phenomena · Physics 2019-08-13 A. A. Abdo

We report on the results of deep X-ray follow-up observations of four unidentified Fermi/LAT gamma-ray sources at high Galactic latitudes using Suzaku. The studied objects were detected with high significance during the first 3 months of…

A large sample of blazar from the Candidate Gamma Ray Blazar Survey (CGRaBS) has been observed with the Owens Valley Radio Observatory (OVRO) 40-Meter Telescope at 15GHz. Using these quasi-simultaneous observations, we study the connection…

Cosmology and Nongalactic Astrophysics · Physics 2019-08-15 Walter Max-Moerbeck

Searching for as yet undetected gamma-ray sources is a major target of the Fermi LAT Collaboration. We present an algorithm capable of identifying such type of sources by non-parametrically clustering the directions of arrival of the…

Instrumentation and Methods for Astrophysics · Physics 2023-01-30 Anna Montin , Alessandra R. Brazzale , Giovanna Menardi

We report on the analysis of 13 gamma-ray pulsars discovered in the Einstein@Home blind search survey using Fermi Large Area Telescope (LAT) Pass 8 data. The 13 new gamma-ray pulsars were discovered by searching 118 unassociated LAT sources…

The launch of the Fermi Gamma-ray Space Telescope has heralded a new era in the study of gamma-ray pulsars. The population of confirmed gamma-ray pulsars has gone from 6-7 to more than 60, and the superb sensitivity of the Large Area…

High Energy Astrophysical Phenomena · Physics 2015-05-19 Paul S. Ray , Pablo M. Saz Parkinson

Blazar variability appears to be stochastic in nature. However, a possibility of low-dimensional chaos was considered in the past, but with no unambiguous detection so far. If present, it would constrain the emission mechanism by suggesting…

High Energy Astrophysical Phenomena · Physics 2021-02-09 O. Ostapenko , M. Tarnopolski , N. Żywucka , J. Pascual-Granado

In the third catalog of active galactic nuclei detected by the $Fermi$ Large Area Telescope Clean (3LAC) sample, there are 402 blazars candidates of uncertain type (BCU). The proposed analysis will help to evaluate the potential optical…

High Energy Astrophysical Phenomena · Physics 2020-03-16 Shi-Ju Kang , Kerui Zhu , Jianchao Feng , Qingwen Wu , Bin-Bin Zhang , Yue Yin , Fei-Fei Wang , Yu Liu , Tian-Yuan Zheng

With ten years of operation and an exceptional dataset, the Fermi-Large Area Telescope allows us to unveil the detailed composition of the extragalactic $\gamma$-ray sky above $\rm 100\,MeV$. In this paper, we derive the intrinsic…

High Energy Astrophysical Phenomena · Physics 2020-06-09 Lea Marcotulli , Mattia Di Mauro , Marco Ajello

The latest source catalog of the Fermi-LAT telescope contains more than 7000 $\gamma$-ray sources at GeV energies, with the two dominant source classes thought to be blazars and rotation-powered pulsars. Our target is the identification of…

High Energy Astrophysical Phenomena · Physics 2024-02-09 Martin G. F. Mayer , Werner Becker

Excess of gamma rays with a spherical morphology around the Galactic center (GC) observed in the Fermi large area telescope (LAT) data is one of the most intriguing features in the gamma-ray sky. The excess has been interpreted by…

High Energy Astrophysical Phenomena · Physics 2024-06-07 Dmitry V. Malyshev

Astrophysical images in the GeV band are challenging to analyze due to the strong contribution of the background and foreground astrophysical diffuse emission and relatively broad point spread function of modern space-based instruments. In…

Computer Vision and Pattern Recognition · Computer Science 2020-12-09 Mariia Drozdova , Anton Broilovskiy , Andrey Ustyuzhanin , Denys Malyshev

The Fermi Large Area Telescope (LAT) has detected thousands of sources since its launch in 2008, with many remaining unidentified. Some of these point sources may arise from source confusion. Specifically, there could be extended sources…

High Energy Astrophysical Phenomena · Physics 2025-04-07 Giovanni Cozzolongo , Alison M. W. Mitchell , Samuel T. Spencer , Dmitry Malyshev , Tim Unbehaun

We present the results of the Fermi-Large Area Telescope (LAT) light curve (LC) modelling of selected blazars: six flat spectrum radio quasars (FSRQs) and five BL Lacertae (BL Lacs). All objects have densely sampled and long-term LCs, over…

High Energy Astrophysical Phenomena · Physics 2021-12-06 Natalia Żywucka , Mariusz Tarnopolski , Volodymyr Marchenko , Javier Pascual-Granado

We present a new method for identifying blazar candidates by examining the locus, i.e. the region occupied by the Fermi gamma-ray blazars in the three-dimensional color space defined by the WISE infrared colors. This method is a refinement…

High Energy Astrophysical Phenomena · Physics 2013-03-13 R. D'Abrusco , F. Massaro , A. Paggi , N. Masetti , G. Tosti , M. Giroletti , H. A. Smith

Using data from the Fermi Large Area Telescope (LAT), we report the first clear gamma-ray measurement of a delay between flares from the gravitationally lensed images of a blazar. The delay was detected in B0218+357, a known double-image…

Machine learning methods are increasingly helping astronomers identify new radio pulsars. However, they require a large amount of labelled data, which is time consuming to produce and biased. Here we describe a Semi-Supervised Generative…

Instrumentation and Methods for Astrophysics · Physics 2021-05-14 Vishnu Balakrishnan , David Champion , Ewan Barr , Michael Kramer , Rahul Sengar , Matthew Bailes

As deep neural networks(DNN) become increasingly prevalent, particularly in high-stakes areas such as autonomous driving and healthcare, the ability to detect incorrect predictions of models and intervene accordingly becomes crucial for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Ge Yan , Tsui-Wei Weng
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