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A network-based optimization approach, EEE, is proposed for the purpose of providing validation-viable state estimations to remediate the failure of pretrained models. To improve optimization efficiency and convergence, the most important…

Neural and Evolutionary Computing · Computer Science 2023-04-25 Ruiyuan Kang , Dimitrios Kyritsis , Panos Liatsis

The use of machine learning techniques has significantly increased the physics discovery potential of neutrino telescopes. In the upcoming years, we are expecting upgrade of currently existing detectors and new telescopes with novel…

High Energy Physics - Experiment · Physics 2023-11-10 Miaochen Jin , Yushi Hu , Carlos A. Argüelles

The Einstein Telescope (ET) is the future third generation gravitational wave detector consisting of three independent interferometers arranged in a triangular configuration, with the sensitivity large enough to be able to detect stellar…

High Energy Astrophysical Phenomena · Physics 2021-08-25 Neha Singh , Tomasz Bulik

Searching for nearby exoplanets with direct imaging is one of the major scientific drivers for both space and ground-based programs. While the second generation of dedicated high-contrast instruments on 8-m class telescopes is about to…

The use of Time Projection Chambers (TPCs) in particle physics experiments has been growing since their invention, reaching sizes equivalent to buildings (ALICE or ATLAS at CERN). However, their application in another class of experiments,…

Instrumentation and Detectors · Physics 2024-12-24 Hector Mirallas

Neutrino astrophysics offers new perspectives on the Universe investigation: high energy neutrinos, produced by the most energetic phenomena in our Galaxy and in the Universe, carry complementary (if not exclusive) information about the…

High Energy Astrophysical Phenomena · Physics 2010-02-11 T. Chiarusi , M. Spurio

Model-based deep reinforcement learning has achieved success in various domains that require high sample efficiencies, such as Go and robotics. However, there are some remaining issues, such as planning efficient explorations to learn more…

Machine Learning · Computer Science 2021-07-06 Yao Yao , Li Xiao , Zhicheng An , Wanpeng Zhang , Dijun Luo

Neutrino telescopes detect rare interactions of particles produced in some of the most extreme environments in the Universe. This is accomplished by instrumenting a cubic-kilometer scale volume of naturally occurring transparent medium with…

Data Analysis, Statistics and Probability · Physics 2025-11-26 Felix J. Yu , Nicholas Kamp , Carlos A. Argüelles

Extreme scattering events (ESEs) are observed as dramatic ($>50\%$) drops in flux density that occur over an extended period of weeks to months. Discrete plasma lensing structures are theorized to scatter the radio waves produced by distant…

Astrophysics of Galaxies · Physics 2024-01-19 Kelvin Au , Jason D. Fiege , Adam Rogers

Composite detectors made of stainless steel converters and multigap resistive plate chambers have been irradiated with quasi-monoenergetic neutrons with a peak energy of 175MeV. The neutron detection efficiency has been determined using two…

The 50 \,kton\, INO-ICAL is a proposed underground high energy physics experiment at Theni, India ($9^{\circ}57'N$, $77^{\circ}16'E$) to study the neutrino oscillation parameters using atmospheric neutrinos. The Resistive Plate Chamber…

Instrumentation and Detectors · Physics 2017-09-20 S. Pethuraj , V. M. Datar , G. Majumder , N. K. Mondal , K. C. Ravindran , B. Satyanarayana

One of the most prolific methods of studying exoplanet atmospheres is transmission spectroscopy, which measures the difference between the depth of an exoplanet's transit signal at various wavelengths and attempts to correlate the depth…

Modern multi-centre randomized controlled trials (MCRCTs) collect massive amounts of tabular data, and are monitored intensively for irregularities by humans. We began by empirically evaluating 6 modern machine learning-based outlier…

Machine Learning · Computer Science 2023-11-10 Walter Nelson , Jonathan Ranisau , Jeremy Petch

The Pierre Auger Observatory (Auger) and the Telescope Array (TA) are the world's two largest ultra-high-energy cosmic ray (UHECR) observatories. They operate in the Southern and Northern hemispheres, respectively, at similar latitudes but…

ALICE is the LHC experiment dedicated to the study of heavy-ion collisions. At forward rapidity a muon spectrometer detects muons from low mass mesons, quarkonia, open heavy-flavor hadrons as well as weak bosons. A muon selection based on…

Instrumentation and Detectors · Physics 2019-08-13 Massimiliano Marchisone

Cosmic rays are energetic charged particles from extraterrestrial sources, with the highest energy events thought to come from extragalactic sources. Their arrival is infrequent, so detection requires instruments with large collecting…

High Energy Astrophysical Phenomena · Physics 2023-11-27 Telescope Array Collaboration

The Pierre Auger Observatory is a hybrid detector designed to observe and study ultra-high-energy particles of extraterrestrial origin. With its 27 fluorescence telescopes and over 1600 autonomously operating water-Cherenkov detectors…

Instrumentation and Methods for Astrophysics · Physics 2025-07-22 Paul Filip

Extreme scattering events (ESEs) in the interstellar medium (ISM) were first observed in regular flux measurements of compact extragalactic sources. They are characterized by a flux variation over a period of weeks, suggesting the passage…

ALICE, a general purpose experiment designed to investigate nucleus-nucleus collisions at the CERN Large Hadron Collider (LHC), has also been used to detect atmospheric muons produced by cosmic-ray interactions in the atmosphere. In this…

High Energy Astrophysical Phenomena · Physics 2017-11-01 Mario Sitta

The DeeMe experiment to search for muon-to-electron conversions with a sensitivity 10--100 times better than those achieved by previous experiments is in preparation at the Japan Proton Accelerator Research Complex. The magnetic…

Instrumentation and Detectors · Physics 2021-02-01 N. Teshima , M. Aoki , Y. Higashino , H. Ikeuchi , K. Komukai , D. Nagao , Y. Nakatsugawa , H. Natori , Y. Seiya , N. M. Truong , K. Yamamoto
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