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Recently, deep learning technology have been extensively used in the field of image recognition. However, its main application is the recognition and detection of ordinary pictures and common scenes. It is challenging to effectively and…

Computer Vision and Pattern Recognition · Computer Science 2022-06-09 Guangcun Shan , Hongyu Wang , Wei Liang , Congcong Liu , Qizi Ma , Quan Quan

The General Antiparticle Spectrometer (GAPS) is a balloon-borne experiment that aims to measure low-energy cosmic-ray antiparticles. GAPS has developed a new antiparticle identification technique based on exotic atom formation caused by…

Instrumentation and Methods for Astrophysics · Physics 2023-04-20 Masahiro Yamatani , Yusuke Nakagami , Hideyuki Fuke , Akiko Kawachi , Masayoshi Kozai , Yuki Shimizu , Tetsuya Yoshida

The energy-dependent abundance of elements in cosmic rays plays an important role in understanding their acceleration and propagation. Most current results are obtained either from direct measurements by balloon- or satellite-borne…

Instrumentation and Methods for Astrophysics · Physics 2019-08-13 Henrike Fleischhack

KM3NeT, a neutrino telescope currently under construction in the Mediterranean Sea, consists of a network of large-volume Cherenkov detectors. Its two different sites, ORCA and ARCA, are optimised for few GeV and TeV-PeV neutrino energies,…

Instrumentation and Methods for Astrophysics · Physics 2021-11-17 S. Reck , D. Guderian , G. Vermariën , A. Domi

High-energy gamma-ray spectroscopy is crucial for studying and advancing the application of high-energy photons in areas like strong-field physics, high-energy-density science, and laboratory astrophysics. However, high-energy gamma-ray…

Instrumentation and Detectors · Physics 2026-04-22 Zhuofan Zhang , Mingxuan Wei , Kyle Fleck , Jun Liu , Xinjian Tan , Gianluca Sarri , Wenchao Yan

The Euclid telescope, due for launch in 2021, will perform an imaging and slitless spectroscopy survey over half the sky, to map baryon wiggles and weak lensing. During the survey Euclid is expected to resolve 100,000 strong gravitational…

Instrumentation and Methods for Astrophysics · Physics 2019-05-17 Andrew Davies , Stephen Serjeant , Jane M. Bromley

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

Ground-level particle detection is now a well-established approach to TeV gamma-ray astronomy. Detection of Cherenkov light produced in water-filled detection units is a proven and cost-effective method. Here we discuss the optimization of…

Instrumentation and Methods for Astrophysics · Physics 2023-03-22 Samridha Kunwar , Hazal Goksu , Jim Hinton , Harm Schoorlemmer , Andrew Smith , Werner Hofmann , Felix Werner

The HEGRA system of 4 Imaging Atmospheric Cherenkov Telescopes (IACTs) has been used to determine the flux and the spectrum of cosmic ray protons over a limited energy range around 1.5 TeV. Although the IACT system is designed for the…

Astrophysics · Physics 2009-10-31 F. Aharonian

The Imaging Atmospheric Cherenkov Technique (IACT) is unusual in astronomy as the atmosphere actually forms an intrinsic part of the detector system, with telescopes indirectly detecting very high energy particles by the generation and…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 M. K. Daniel

The Cherenkov Telescope Array (CTA) will be the next-generation gamma-ray observatory, investigating gamma-ray and cosmic ray astrophysics at energies from 20 GeV to more than 300 TeV. The observatory, consisting of large arrays of imaging…

High Energy Astrophysical Phenomena · Physics 2018-01-22 The CTA Consortium

Imaging Cherenkov detectors are largely used for particle identification (PID) in nuclear and particle physics experiments, where developing fast reconstruction algorithms is becoming of paramount importance to allow for near real time…

Data Analysis, Statistics and Probability · Physics 2020-05-21 Cristiano Fanelli , Jary Pomponi

A novel method images to estimate cosmological parameters based on images is presented. In this paper, we demonstrate the use of a convolutional neural network (CNN) for constraining the mass of dark matter particle. For this purpose, we…

Cosmology and Nongalactic Astrophysics · Physics 2020-12-08 Koya Murakami , Atsushi J. Nishizawa

Object segmentation and structure localization are important steps in automated image analysis pipelines for microscopy images. We present a convolution neural network (CNN) based deep learning architecture for segmentation of objects in…

Computer Vision and Pattern Recognition · Computer Science 2019-01-24 Shan E Ahmed Raza , Linda Cheung , Muhammad Shaban , Simon Graham , David Epstein , Stella Pelengaris , Michael Khan , Nasir M. Rajpoot

Our Galaxy is filled with cosmic-ray particles and more than 98% of them are atomic nuclei. In order to clarify their origin and acceleration mechanism, chemical composition measurements of these cosmic rays with wide energy coverage play…

High Energy Astrophysical Phenomena · Physics 2018-01-22 Michiko Ohishi , Takanori Yoshikoshi , Tatsuo Yoshida

[Abriged] Astronomical Wide Field Imaging performed with new large format CCD detectors poses data reduction problems of unprecedented scale which are difficult to deal with traditional interactive tools. We present here NExt (Neural…

Astrophysics · Physics 2009-10-31 S. Andreon , G. Gargiulo , G. Longo , R. Tagliaferri , N. Capuano

Telescopes, designed with semi-conductor based photo sensors, have the potential to detect Cherenkov or fluorescence light emitted by cosmic-rays in the atmosphere. Such telescopes promise a high duty cycle and efficiency in remote harsh…

Instrumentation and Methods for Astrophysics · Physics 2015-11-06 Jan Auffenberg , Thomas Bretz , Lukas Middendorf , Tim Niggemann , Leif Rädel , Merlin Schaufel , Sebastian Schoenen , Johannes Schumacher , Christopher Wiebusch

The operation of a small-size Cherenkov gamma-ray telescope TAIGA-IACT with camera on SiPMs OnSemi MicroFJ-60035 has been modelled by multiparticle Monte Carlo (MC) methods. The model implies that telescope camera is equipped with two…

Wide field small aperture telescopes are widely used for optical transient observations. Detection and classification of astronomical targets in observed images are the most important and basic step. In this paper, we propose an…

Instrumentation and Methods for Astrophysics · Physics 2020-05-06 Peng Jia , Qiang Liu , Yongyang Sun

The Cherenkov Telescope Array Observatory (CTAO), a next-generation ground-based gamma-ray observatory, will be composed of two arrays of multiple imaging atmospheric Cherenkov telescopes (IACTs) located in both the Northern and Southern…

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