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Directional detection of Galactic Dark Matter is a promising search strategy for discriminating genuine WIMP events from background ones. Technical progress on gaseous detectors and read-outs has permitted the design and construction of…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 J. Billard , F. Mayet , J. F. Macias-Perez , D. Santos

Skymaps measured with imaging atmospheric Cherenkov telescopes (IACTs) represent the real source distribution convolved with the point spread function of the observing instrument. Current IACTs have an angular resolution in the order of…

Instrumentation and Methods for Astrophysics · Physics 2015-08-26 Susanne Raab , Ira Jung-Richardt

A Monte-Carlo study is presented using ground based measurements of the electromagnetic part of showers initiated in the atmosphere by high energetic cosmic rays to reconstruct energy and mass of primary particles with energies above 300…

Astrophysics · Physics 2011-04-15 A. Lindner

The VERITAS array is a set of four imaging atmospheric Cherenkov telescopes (IACTs) sensitive to gamma rays with energies above 80 GeV. Each telescope is based on a tessellated mirror, 12 metres in diameter, which reflects light from a…

Instrumentation and Methods for Astrophysics · Physics 2021-01-11 Simon Archambault , Gabriel Chernitsky , Sean Griffin , David Hanna

We present a method to estimate dense depth by optimizing a sparse set of points such that their diffusion into a depth map minimizes a multi-view reprojection error from RGB supervision. We optimize point positions, depths, and weights…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Numair Khan , Min H. Kim , James Tompkin

Initial principles of a method of analysis of the luminous matter spatial distribution with sizes about thousands Mpc are presented. The method is based on an analysis of the photometric redshift distribution N(z) in the deep fields with…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-18 Nikita Nabokov , Yuri Baryshev

The technique of gamma-ray astronomy at very high energies (VHE: > 100 GeV) with ground-based imaging atmospheric Cherenkov telescopes is described, the H.E.S.S. array in Namibia serving as example. Mainly a discussion of the physical…

Astrophysics · Physics 2009-07-24 Heinrich J. Voelk , Konrad Bernloehr

Imaging Atmospheric Cherenkov Telescopes (IACT) of TAIGA astrophysical complex allow to observe high energy gamma radiation helping to study many astrophysical objects and processes. TAIGA-IACT enables us to select gamma quanta from the…

Instrumentation and Methods for Astrophysics · Physics 2022-11-17 E. O. Gres , A. P. Kryukov

Deconvolution of astronomical images is a key aspect of recovering the intrinsic properties of celestial objects, especially when considering ground-based observations. This paper explores the use of diffusion models (DMs) and the Diffusion…

Instrumentation and Methods for Astrophysics · Physics 2025-01-22 Alessio Spagnoletti , Alexandre Boucaud , Marc Huertas-Company , Wassim Kabalan , Biswajit Biswas

The Very Energetic Radiation Imaging Telescope Array System (VERITAS) is an array of four 12m diameter Imaging Atmospheric Cherenkov Technique (IACT) telescopes operated at the base of Mt. Hopkins in southern Arizona. The four-telescope…

Astrophysics · Physics 2019-08-13 H. Krawczynski

The H.E.S.S. experiment in Namibia, Africa, is designed to study the origin of high energy cosmic rays from 100 Gev to few tens of TeV, using the Cherenkov technique. To minimize the systematic errors on the derived fluxes of the measured…

Instrumentation and Methods for Astrophysics · Physics 2013-11-18 M. Bourgeat , M. Compin , S. Rivoire , G. Vasileiadis

We present a new dust extinction technique with which we are able to retrieve parsec-scale gas surface density maps for entire nearby galaxies. The method measures the dust attenuation in optical bands on a pixel-by-pixel basis against a…

This work is a methodical study on hybrid reconstruction techniques for hybrid imaging/timing Cherenkov observations. This type of hybrid array is to be realized at the gamma-observatory TAIGA intended for very high energy gamma-ray…

Instrumentation and Methods for Astrophysics · Physics 2018-08-29 E. B. Postnikov , A. A. Grinyuk , L. A. Kuzmichev , L. G. Sveshnikova

In this study, we propose a high-performance disparity (depth) estimation method using dual-pixel (DP) images with few parameters. Conventional end-to-end deep-learning methods have many parameters but do not fully exploit disparity…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Teppei Kurita , Yuhi Kondo , Legong Sun , Takayuki Sasaki , Sho Nitta , Yasuhiro Hashimoto , Yoshinori Muramatsu , Yusuke Moriuchi

VERITAS is an array of four imaging atmospheric Cherenkov telescopes near Tucson, Arizona and is one of the world's most sensitive detectors of very high energy (VHE: >100 GeV) gamma rays. The scientific reach of VERITAS covers the study of…

High Energy Astrophysical Phenomena · Physics 2019-08-13 David Staszak

The Cadmium Zinc Telluride Imager (CZTI) aboard AstroSat has good sensitivity to Gamma Ray Bursts (GRBs), with close to 600 detections including about 50 discoveries undetected by other missions. However, CZTI was not designed to be a GRB…

We present a Bayesian reconstruction method which maps a galaxy distribution from redshift-space to real-space inferring the distances of the individual galaxies. The method is based on sampling density fields assuming a lognormal prior…

Ground-based astronomical observations will continue to produce resolution-limited images due to atmospheric seeing. Deconvolution reverses such effects and thus can benefit extracted science in multifaceted ways. We apply the Scaled…

Instrumentation and Methods for Astrophysics · Physics 2025-11-04 Yash Gondhalekar , Richard M. Feder , Matthew J. Graham , Ajit K. Kembhavi , Margarita Safonova , Snehanshu Saha , Ashish A. Mahabal

The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing algorithms have been shown to be efficient at image…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Steven Ndung'u , Trienko Grobler , Stefan J. Wijnholds , Dimka Karastoyanova , George Azzopardi
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