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In this paper, we illustrate the main features of the electronics and data acquisition systems of the ANTARES apparatus, a large volume, deep-sea neutrino telescope under construction in the Mediterranean Sea off the coast of Toulon,…

Astrophysics · Physics 2019-08-13 M. Circella

Acoustic neutrino detection is a promising approach for large-scale ultra-high energy neutrino detectors in water. In this article, a Monte Carlo simulation chain for acoustic neutrino detection devices in water is presented. It is designed…

Instrumentation and Methods for Astrophysics · Physics 2013-04-03 M. Neff , G. Anton , A. Enzenhöfer , K. Graf , J. Hößl , U. Katz , R. Lahmann

Directional detection of non-baryonic Dark Matter requires 3D reconstruction of low energy nuclear recoils tracks. A gaseous micro-TPC matrix, filled with either 3He, CF4 or C4H10 has been developed within the MIMAC project. A dedicated…

Instrumentation and Methods for Astrophysics · Physics 2011-11-14 O. Bourrion , G. Bosson , C. Grignon , J. L. Bouly , J. P. Richer , O. Guillaudin , F. Mayet , J. Billard , D. Santos

The gSeaGen code is a GENIE-based application developed to efficiently generate high statistics samples of events, induced by neutrino interactions, detectable in a neutrino telescope. The gSeaGen code is able to generate events induced by…

Instrumentation and Methods for Astrophysics · Physics 2020-07-22 Sebastiano Aiello , Arnauld Albert , Sergio Alves Garre , Zineb Aly , Fabrizio Ameli , Michel Andre , Giorgos Androulakis , Marco Anghinolfi , Mancia Anguita , Gisela Anton , Miquel Ardid , Julien Aublin , Christos Bagatelas , Giancarlo Barbarino , Bruny Baret , Suzan Basegmez du Pree , Meriem Bendahman , Edward Berbee , Vincent Bertin , Simone Biagi , Andrea Biagioni , Matthias Bissinger , Markus Boettcher , Jihad Boumaaza , Simon Bourret , Mohammed Bouta , Mieke Bouwhuis , Cristiano Bozza , Horea Branzas , Marc Bruchner , Ronald Bruijn , Jürgen Brunner , Ernst-Jan Buis , Raffaele Buompane , Jose Busto , David Calvo , Antonio Capone , Víctor Carretero , Paolo Castaldi , Silvia Celli , Mohamed Chabab , Nhan Chau , Andrew Chen , Silvio Cherubini , Vitaliano Chiarella , Tommaso Chiarusi , Marco Circella , Rosanna Cocimano , Joao Coelho , Alexis Coleiro , Marta Colomer Molla , Rosa Coniglione , Imanol Corredoira , Paschal Coyle , Alexandre Creusot , Giacomo Cuttone , Antonio D'Onofrio , Richard Dallier , Maarten de Jong , Paul de Jong , Mauro De Palma , Gwenhaël de Wasseige , Els de Wolf , Irene Di Palma , Antonio Diaz , Dídac Diego-Tortosa , Carla Distefano , Alba Domi , Roberto Donà , Corinne Donzaud , Damien Dornic , Manuel Dörr , Doriane Drouhin , Mora Durocher , Thomas Eberl , Imad El Bojaddaini , Dominik Elsaesser , Alexander Enzenhöfer , Paolo Fermani , Giovanna Ferrara , Miroslav Filipovic , Francesco Filippini , Antonio Franco , Luigi Antonio Fusco , Omar Gabella , Tamas Gal , Alfonso Andres Garcia Soto , Fabio Garufi , Yoann Gatelet , Nicole Geißelbrecht , Lucio Gialanella , Emidio Giorgio , Sara Rebecca Gozzini , Rodrigo Gracia , Kay Graf , Dario Grasso , Timothée Grégoire , Giuseppe Grella , Carlo Guidi , Steffen Hallmann , Hassane Hamdaoui , Aart Heijboer , Amar Hekalo , Juan-Jose Hernandez-Rey , Jannik Hofestädt , Walid Idrissi Ibnsalih , Giulia Illuminati , Clancy James , Bouke Jisse Jung , Matthias Kadler , Piotr Kalaczyński , Oleg Kalekin , Uli Katz , Nafis Rezwan Khan Chowdhury , Els Koffeman , Paul Kooijman , Antoine Kouchner , Michael Kreter , Vladimir Kulikovskiy , Robert Lahmann , Giuseppina Larosa , Remy Le Breton , Ornella Leonardi , Francesco Leone , Emanuele Leonora , Giuseppe Levi , Massimiliano Lincetto , Miles Lindsey Clark , Thomas Lipreau , Alessandro Lonardo , Fabio Longhitano , Daniel Lopez Coto , Jerzy Mańczak , Karl Mannheim , Annarita Margiotta , Antonio Marinelli , Christos Markou , Lilian Martin , Juan Antonio Martínez-Mora , Agnese Martini , Fabio Marzaioli , Stefano Mastroianni , Safaa Mazzou , Karel Melis , Gennaro Miele , Pasquale Migliozzi , Emilio Migneco , Piotr Mijakowski , Luis Salvador Miranda Palacios , Zurab Modebadze , Carlos Maximiliano Mollo , Mauro Morganti , Michael Moser , Abdelilah Moussa , Rasa Muller , Mario Musumeci , Lodewijk Nauta , Sergio Navas , Carlo Alessandro Nicolau , Brían Ó Fearraigh , Mukharbek Organokov , Angelo Orlando , Gogita Papalashvili , Riccardo Papaleo , Cosimo Pastore , Alice Paun , Gabriela Emilia Pavalas , Carmelo Pellegrino , Mathieu Perrin-Terrin , Paolo Piattelli , Camiel Pieterse , Konstantinos Pikounis , Ofelia Pisanti , Chiara Poirè , Vlad Popa , Maarten Post , Thierry Pradier , Gerd Pühlhofer , Sara Pulvirenti , Liam Quinn , Omphile Rabyang , Fabrizio Raffaelli , Nunzio Randazzo , Antonio Rapicavoli , Soebur Razzaque , Diego Real , Stefan Reck , Jonas Reubelt , Giorgio Riccobene , Marc Richer , Stephane Rivoire , Alberto Rovelli , Francisco Salesa Greus , Dorothea Franziska Elisabeth Samtleben , Agustín Sánchez Losa , Matteo Sanguineti , Andrea Santangelo , Domenico Santonocito , Piera Sapienza , Jutta Schnabel , Virginia Sciacca , Jordan Seneca , Irene Sgura , Rezo Shanidze , Ankur Sharma , Francesco Simeone , Anna Sinopoulou , Bernardino Spisso , Maurizio Spurio , Dimitris Stavropoulos , Jos Steijger , Simona Maria Stellacci , Mauro Taiuti , Yahya Tayalati , Enrique Tenllado , Tarak Thakore , Steven Tingay , Ekaterini Tzamariudaki , Dimitrios Tzanetatos , Ad van den Berg , Frits van der Knaap , Daan van Eijk , Véronique Van Elewyck , Godefroy Vannoye , George Vasileiadis , Federico Versari , Salvatore Viola , Daniele Vivolo , Joern Wilms , Rafał Wojaczyński , Dmitry Zaborov , Sandra Zavatarelli , Angela Zegarelli , Juan-de-Dios Zornoza , Juan Zúñiga , Natalia Zywucka

Detecting marine objects inshore presents challenges owing to algorithmic intricacies and complexities in system deployment. We propose a difficulty-aware edge-cloud collaborative sensing system that splits the task into object localization…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Wenjun Huang , Hanning Chen , Yang Ni , Arghavan Rezvani , Sanggeon Yun , Sungheon Jeon , Eric Pedley , Mohsen Imani

The ANTARES group at the University of Erlangen is working towards the integration of a set of acoustic sensors into the ANTARES Neutrino Telescope. With this setup, tests of acoustic particle detection methods and background studies shall…

Astrophysics · Physics 2010-11-05 R. Lahmann , G. Anton , K. Graf , J. Hoessl , A. Kappes , T. Karg , U. Katz , C. Naumann , K. Salomon

Large underwater telescopes have been proposed as a challenging method to measure high energy neutrinos from astrophysical objects. In recent years, The Antares collaboration has designed and realized the first detector of this type in the…

Instrumentation and Methods for Astrophysics · Physics 2026-05-21 K. Gracheva , M. Anghinolfi , V. Kulikovskiy , E. Shirokov , Y. Yakovenko

IceCube is a km-scale neutrino observatory under construction at the South Pole with sensors both in the deep ice (InIce) and on the surface (IceTop). The sensors, called Digital Optical Modules (DOMs), detect, digitize and timestamp the…

Instrumentation and Detectors · Physics 2012-08-27 The IceCube Collaboration

In this paper, we study the capability of different long-baseline experiment options at the KM3NeT facility i.e., P2O, Upgraded P2O and P2SO to probe the light sterile neutrino and compare their sensitivities with DUNE. The P2O option will…

High Energy Physics - Phenomenology · Physics 2023-05-10 Dinesh Kumar Singha , Monojit Ghosh , Rudra Majhi , Rukmani Mohanta

The data acquisition console is an important component of the EAST data acquisition system which provides unified data acquisition and long-term data storage for diagnostics. The data acquisition console is used to manage the data…

Instrumentation and Detectors · Physics 2020-10-30 Chen Ying , Li Shi

IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, iden- tify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-02-23 M. G. Aartsen , R. Abbasi , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , D. Altmann , C. Arguelles , J. Auffenberg , X. Bai , M. Baker , S. W. Barwick , V. Baum , R. Bay , J. J. Beatty , J. Becker Tjus , K. -H. Becker , S. BenZvi , P. Berghaus , D. Berley , E. Bernardini , A. Bernhard , D. Z. Besson , G. Binder , D. Bindig , M. Bissok , E. Blaufuss , J. Blumenthal , D. J. Boersma , C. Bohm , D. Bose , S. Böser , O. Botner , L. Brayeur , H. -P. Bretz , A. M. Brown , R. Bruijn , J. Casey , M. Casier , D. Chirkin , A. Christov , B. Christy , K. Clark , L. Classen , F. Clevermann , S. Coenders , S. Cohen , D. F. Cowen , A. H. Cruz Silva , M. Danninger , J. Daughhetee , J. C. Davis , M. Day , C. De Clercq , S. De Ridder , P. Desiati , K. D. de Vries , M. de With , T. DeYoung , J. C. Díaz-Vélez , M. Dunkman , R. Eagan , B. Eberhardt , B. Eichmann , J. Eisch , S. Euler , P. A. Evenson , O. Fadiran , A. R. Fazely , A. Fedynitch , J. Feintzeig , T. Feusels , K. Filimonov , C. Finley , T. Fischer-Wasels , S. Flis , A. Franckowiak , K. Frantzen , T. Fuchs , T. K. Gaisser , J. Gallagher , L. Gerhardt , L. Gladstone , T. Glüsenkamp , A. Goldschmidt , G. Golup , J. G. Gonzalez , J. A. Goodman , D. Góra , D. T. Grandmont , D. Grant , P. Gretskov , J. C. Groh , A. Groß , C. Ha , A. Haj Ismail , P. Hallen , A. Hallgren , F. Halzen , K. Hanson , D. Hebecker , D. Heereman , D. Heinen , K. Helbing , R. Hellauer , S. Hickford , G. C. Hill , K. D. Hoffman , R. Hoffmann , A. Homeier , K. Hoshina , F. Huang , W. Huelsnitz , P. O. Hulth , K. Hultqvist , S. Hussain , A. Ishihara , E. Jacobi , J. Jacobsen , K. Jagielski , G. S. Japaridze , K. Jero , O. Jlelati , B. Kaminsky , A. Kappes , T. Karg , A. Karle , M. Kauer , J. L. Kelley , J. Kiryluk , J. Kläs , S. R. Klein , J. -H. Köhne , G. Kohnen , H. Kolanoski , L. Köpke , C. Kopper , S. Kopper , D. J. Koskinen , M. Kowalski , M. Krasberg , A. Kriesten , K. Krings , G. Kroll , J. Kunnen , N. Kurahashi , T. Kuwabara , M. Labare , H. Landsman , M. J. Larson , M. Lesiak-Bzdak , M. Leuermann , J. Leute , J. Lünemann , O. Macías , J. Madsen , G. Maggi , R. Maruyama , K. Mase , H. S. Matis , F. McNally , K. Meagher , M. Merck , G. Merino , T. Meures , S. Miarecki , E. Middell , N. Milke , J. Miller , L. Mohrmann , T. Montaruli , R. Morse , R. Nahnhauer , U. Naumann , H. Niederhausen , S. C. Nowicki , D. R. Nygren , A. Obertacke , S. Odrowski , A. Olivas , A. Omairat , A. O'Murchadha , L. Paul , J. A. Pepper , C. Pérez de los Heros , C. Pfendner , D. Pieloth , E. Pinat , J. Posselt , P. B. Price , G. T. Przybylski , M. Quinnan , L. R ädel , I. Rae , M. Rameez , K. Rawlins , P. Redl , R. Reimann , E. Resconi , W. Rhode , M. Ribordy , M. Richman , B. Riedel , J. P. Rodrigues , C. Rott , T. Ruhe , B. Ruzybayev , D. Ryckbosch , S. M. Saba , H. -G. Sander , M. Santander , S. Sarkar , K. Schatto , F. Scheriau , T. Schmidt , M. Schmitz , S. Schoenen , S. Schöneberg , A. Schönwald , A. Schukraft , L. Schulte , D. Schultz , O. Schulz , D. Seckel , Y. Sestayo , S. Seunarine , R. Shanidze , C. Sheremata , M. W. E. Smith , D. Soldin , G. M. Spiczak , C. Spiering , M. Stamatikos , T. Stanev , N. A. Stanisha , A. Stasik , T. Stezelberger , R. G. Stokstad , A. Stößl , E. A. Strahler , R. Ström , N. L. Strotjohann , G. W. Sullivan , H. Taavola , I. Taboada , A. Tamburro , A. Tepe , S. Ter-Antonyan , G. Tešić , S. Tilav , P. A. Toale , M. N. Tobin , S. Toscano , M. Tselengidou , E. Unger , M. Usner , S. Vallecorsa , N. van Eijndhoven , A. Van Overloop , J. van Santen , M. Vehring , M. Voge , M. Vraeghe , C. Walck , T. Waldenmaier , M. Wallraff , Ch. Weaver , M. Wellons , C. Wendt , S. Westerhoff , N. Whitehorn , K. Wiebe , C. H. Wiebusch , D. R. Williams , H. Wissing , M. Wolf , T. R. Wood , K. Woschnagg , D. L. Xu , X. W. Xu , J. P. Yanez , G. Yodh , S. Yoshida , P. Zarzhitsky , J. Ziemann , S. Zierke , M. Zoll

AEROS aims to develop a nanosatellite as a precursor of a future system of systems, which will include assets and capabilities of both new and existing platforms operating in the Ocean and Space, equipped with state-of-the-art sensors and…

The Intense Pulsed Neutron Source has been an operating user facility for more than 20 years. Development of an upgrade for the data acquisition system has been in progress for some time now. Now that the initial installation on the test…

A water \v{C}erenkov detector project, of megaton scale, to be installed in the Fr\'ejus underground site and dedicated to nucleon decay, neutrinos from supernovae, solar and atmospheric neutrinos, as well as neutrinos from a super-beam…

We present DM$^3$-Nav, a fully decentralized multi-agent semantic navigation system supporting multimodal open-vocabulary goal specification and multi-object missions. In our setting, decentralization implies operation without a central…

Multiagent Systems · Computer Science 2026-04-27 Amin Kashiri , Atharva Jamsandekar , Yasin Yazıcıoğlu

Several projects are concentrating their efforts on opening the high energy neutrino window on the Universe with km-scale detectors. The detection principle relies on the observation, using photomultipliers, of the Cherenkov light emitted…

High Energy Astrophysical Phenomena · Physics 2009-12-08 Antoine Kouchner

We report on the results of a Monte Carlo simulation study of a km^3 scale deep underwater Cherenkov detector aimed at detecting neutrinos of astrophysical origin. This analysis has been undertaken as part of the NEMO R&D project to develop…

High Energy Physics - Experiment · Physics 2019-08-17 T. Montaruli , M. Ambriola et al

In the realm of intelligent maritime navigation, object detection from a shipborne perspective is paramount. Despite the criticality, the paucity of maritime-specific data impedes the deployment of sophisticated visual perception…

Computer Vision and Pattern Recognition · Computer Science 2025-05-14 Yu Zhang , Fengyuan Liu , Juan Lyu , Yi Wei , Changdong Yu

We report on the development of search methods for point-like and extended neutrino sources, utilizing the tracking and energy estimation capabilities of an underwater, Very Large Volume Neutrino Telescope (VLVnT). We demonstrate that the…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 A. Leisos , A. G. Tsirigotis , S. E. Tzamarias

The NEMO Collaboration installed an underwater detector including most of the critical elements of a possible km$^3$ neutrino telescope: a four-floor tower (called Mini-Tower) and a Junction Box, including the data transmission, the power…

Instrumentation and Methods for Astrophysics · Physics 2019-08-13 Carla Distefano
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