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To denoise a reference patch, the Non-Local-Means denoising filter processes a set of neighbor patches. Few Nearest Neighbors (NN) are used to limit the computational burden of the algorithm. Here here we show analytically that the NN…

Computer Vision and Pattern Recognition · Computer Science 2017-11-22 Iuri Frosio , Jan Kautz

To obtain an accurate cosmological inference from upcoming weak lensing surveys such as the one conducted by Euclid, the shear measurement requires calibration using galaxy image simulations. We study the efficiency of different noise…

Cosmology and Nongalactic Astrophysics · Physics 2024-01-17 H. Jansen , M. Tewes , T. Schrabback , N. Aghanim , A. Amara , S. Andreon , N. Auricchio , M. Baldi , E. Branchini , M. Brescia , J. Brinchmann , S. Camera , V. Capobianco , C. Carbone , V. F. Cardone , J. Carretero , S. Casas , M. Castellano , S. Cavuoti , A. Cimatti , G. Congedo , L. Conversi , Y. Copin , L. Corcione , F. Courbin , H. M. Courtois , A. Da Silva , H. Degaudenzi , J. Dinis , F. Dubath , X. Dupac , M. Farina , S. Farrens , S. Ferriol , M. Frailis , E. Franceschi , M. Fumana , S. Galeotta , B. Gillis , C. Giocoli , A. Grazian , F. Grupp , S. V. H. Haugan , H. Hoekstra , W. Holmes , F. Hormuth , A. Hornstrup , P. Hudelot , K. Jahnke , B. Joachimi , S. Kermiche , A. Kiessling , M. Kilbinger , T. Kitching , B. Kubik , H. Kurki-Suonio , S. Ligori , P. B. Lilje , V. Lindholm , I. Lloro , E. Maiorano , O. Mansutti , O. Marggraf , K. Markovic , N. Martinet , F. Marulli , R. Massey , E. Medinaceli , S. Mei , M. Melchior , Y. Mellier , M. Meneghetti , E. Merlin , G. Meylan , L. Miller , M. Moresco , L. Moscardini , E. Munari , R. Nakajima , S. -M. Niemi , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , V. Pettorino , S. Pires , G. Polenta , M. Poncet , F. Raison , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , E. Rossetti , R. Saglia , D. Sapone , B. Sartoris , P. Schneider , A. Secroun , G. Seidel , S. Serrano , C. Sirignano , G. Sirri , J. Skottfelt , L. Stanco , P. Tallada-Crespí , I. Tereno , R. Toledo-Moreo , F. Torradeflot , I. Tutusaus , E. A. Valentijn , L. Valenziano , T. Vassallo , A. Veropalumbo , Y. Wang , J. Weller , G. Zamorani , J. Zoubian , C. Colodro-Conde , V. Scottez

The VERITAS imaging atmospheric Cherenkov telescope array has been observing the northern TeV sky with four telescopes since summer 2007. Over 50 gamma-ray sources have been studied, including active and starburst galaxies, pulsars and…

High Energy Astrophysical Phenomena · Physics 2019-08-13 J. Holder

The Cherenkov Telescope Array (CTA) is a large collaborative effort aimed at the design and operation of an observatory dedicated to the VHE gamma-ray astrophysics in the energy range 30 GeV-100 TeV, which will improve by about one order of…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 Stefano Vercellone

Gamma-ray observations ranging from hundreds of MeV to tens of TeV are a valuable tool for studying particle acceleration and diffusion within our galaxy. Supernova remnants, pulsar wind nebulae, and star-forming regions are the main…

High Energy Astrophysical Phenomena · Physics 2021-08-19 Alisha Chromey

Ultra-high-energy photons play an important role in probing astrophysical models and beyond-Standard-Model scenarios. We report updated limits on the diffuse photon flux using Telescope Array's Surface Detector data collected over 14 years…

Astrophysics of Galaxies · Physics 2026-04-24 Telescope Array Collaboration , R. U. Abbasi , T. Abu-Zayyad , M. Allen , J. W. Belz , D. R. Bergman , F. Bradfield , I. Buckland , W. Campbell , B. G. Cheon , K. Endo , A. Fedynitch , T. Fujii , K. Fujisue , K. Fujita , M. Fukushima , G. Furlich , A. Galvez Urena , Z. Gerber , N. Globus , T. Hanaoka , W. Hanlon , N. Hayashida , H. He , K. Hibino , R. Higuchi , D. Ikeda , D. Ivanov , S. Jeong , C. C. H. Jui , K. Kadota , F. Kakimoto , O. Kalashev , K. Kasahara , Y. Kawachi , K. Kawata , I. Kharuk , E. Kido , H. B. Kim , J. H. Kim , J. H. Kim , S. W. Kim , R. Kobo , I. Komae , K. Komatsu , K. Komori , A. Korochkin , C. Koyama , M. Kudenko , M. Kuroiwa , Y. Kusumori , M. Kuznetsov , Y. J. Kwon , K. H. Lee , M. J. Lee , B. Lubsandorzhiev , J. P. Lundquist , H. Matsushita , A. Matsuzawa , J. A. Matthews , J. N. Matthews , K. Mizuno , M. Mori , S. Nagataki , K. Nakagawa , M. Nakahara , H. Nakamura , T. Nakamura , T. Nakayama , Y. Nakayama , K. Nakazawa , T. Nonaka , S. Ogio , H. Ohoka , N. Okazaki , M. Onishi , A. Oshima , H. Oshima , S. Ozawa , I. H. Park , K. Y. Park , M. Potts , M. Przybylak , M. S. Pshirkov , J. Remington , C. Rott , G. I. Rubtsov , D. Ryu , H. Sagawa , N. Sakaki , R. Sakamoto , T. Sako , N. Sakurai , S. Sakurai , D. Sato , K. Sekino , T. Shibata , J. Shikita , H. Shimodaira , H. S. Shin , K. Shinozaki , J. D. Smith , P. Sokolsky , B. T. Stokes , T. A. Stroman , H. Tachibana , K. Takahashi , M. Takeda , R. Takeishi , A. Taketa , M. Takita , Y. Tameda , K. Tanaka , M. Tanaka , M. Teramoto , S. B. Thomas , G. B. Thomson , P. Tinyakov , I. Tkachev , T. Tomida , S. Troitsky , Y. Tsunesada , S. Udo , F. R. Urban , M. Vrabel , D. Warren , K. Yamazaki , Y. Zhezher , Z. Zundel , J. Zvirzdin

Recent deep learning-based image denoising methods have shown impressive performance; however, many lack the flexibility to adjust the denoising strength based on the noise levels, camera settings, and user preferences. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Youngjin Oh , Junhyeong Kwon , Keuntek Lee , Nam Ik Cho

Imaging atmospheric Cherenkov telescopes (IACTs) detect extended air showers (EASs) generated when very-high-energy (VHE) gamma rays or cosmic rays interact with the Earth's atmosphere. Cherenkov photons produced during an EAS are captured…

High Energy Astrophysical Phenomena · Physics 2025-09-19 T. Miener , L. Burmistrov , B. Lacave , A. Cerviño

Over the last decade, the Imaging Air Cerenkov technique has proven itself to be an extremely powerful means to study very energetic gamma-radiation from a number of astrophysical sources in a regime which is not practically accessible to…

Astrophysics · Physics 2010-11-24 I. de la Calle Perez , S. D. Biller

In the atmospheric Cerenkov technique gamma rays are detected against the abundant background produced by hadronic showers. In order to improve the signal to noise ratio of the experiment, it is necessary to reject a significant fraction of…

Astrophysics · Physics 2011-08-17 V. R. Chitnis , P. N. Bhat

We investigate possible sky survey modes with the Middle Sized Telescopes (MST, aimed at covering the energy range from $\sim$100 GeV to 10 TeV) subsystem of the Cherenkov Telescope Array (CTA). We use the standard CTA tools, CORSIKA and…

Instrumentation and Methods for Astrophysics · Physics 2015-02-20 M. Szanecki , D. Sobczyńska , A. Niedźwiecki , J. Sitarek , W. Bednarek

Cherenkov Telescope Array (CTA) is an upcoming instrument that will start a new generation of atmospheric Cherenkov telescopes. CTA is expected not only to provide an unprecedented sensitivity in the tens of GeV to hundreds of TeV range,…

Instrumentation and Methods for Astrophysics · Physics 2019-07-11 Julian Sitarek , Dorota Sobczyńska , Katarzyna Adamczyk , Michał Szanecki

Noise is an important issue for radiographic and tomographic imaging techniques. It becomes particularly critical in applications where additional constraints force a strong reduction of the Signal-to-Noise Ratio (SNR) per image. These…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Yaroslav Zharov , Evelina Ametova , Rebecca Spiecker , Tilo Baumbach , Genoveva Burca , Vincent Heuveline

Self-supervised real-world image denoising remains a fundamental challenge, arising from the antagonistic trade-off between decorrelating spatially structured noise and preserving high-frequency details. Existing blind-spot network (BSN)…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Yiwen Shan , Haiyu Zhao , Peng Hu , Xi Peng , Yuanbiao Gou

We present the results of a preliminary study of a correction method applied to the Imaging Atmospheric Cherenkov Telescope images affected by clouds. The studied data are Monte Carlo simulations made with CORSIKA, imitating the very high…

Instrumentation and Methods for Astrophysics · Physics 2024-02-29 Natalia Żywucka , Julian Sitarek , Dorota Sobczyńska , Mario Pecimotika , Dario Hrupec , Dijana Dominis Prester , Lovro Pavletić , Saša Mićanović

Cherenkov gamma telescope observes high energy gamma rays, taking advantage of the radiation emitted by charged particles produced inside the electromagnetic showers initiated by the gammas, and developing in the atmosphere. The detector…

Computer Vision and Pattern Recognition · Computer Science 2021-11-19 Emmanuel Dadzie , Kelvin Kwakye

I present a family of algorithms to reduce noise in astrophysical im- ages and image sequences, preserving more information from the original data than is retained by conventional techniques. The family uses locally adaptive filters ("noise…

Instrumentation and Methods for Astrophysics · Physics 2017-04-12 C. E. DeForest

Event cameras capture sparse, asynchronous brightness changes which offer high temporal resolution, high dynamic range, low power consumption, and sparse data output. These advantages make them ideal for Space Situational Awareness,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Sami Arja , Alexandre Marcireau , Nicholas Owen Ralph , Saeed Afshar , Gregory Cohen

We discuss the prospects for the detection of gamma-ray bursts (GRBs) by the Cherenkov Telescope Array (CTA), the next generation, ground-based facility of imaging atmospheric Cherenkov telescopes (IACTs) operating above a few tens of GeV.…

High Energy Astrophysical Phenomena · Physics 2015-06-03 Jun Kakuwa , Kohta Murase , Kenji Toma , Susumu Inoue , Ryo Yamazaki , Kunihito Ioka
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