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Spiking Neural Networks (SNNs), recognized as the third generation of neural networks, are known for their bio-plausibility and energy efficiency, especially when implemented on neuromorphic hardware. However, the majority of existing…

Neural and Evolutionary Computing · Computer Science 2024-07-02 Yi Jiang , Sen Lu , Abhronil Sengupta

SNS is a MATLAB-based software library written to aid in the design and analysis of receiver architectures. It uses electrical scattering matrices and noise wave vectors to describe receiver architectures of arbitrary topology and…

Instrumentation and Methods for Astrophysics · Physics 2010-03-19 Oliver G. King

Over the past decade Spiking Neural Networks (SNN) have emerged as one of the popular architectures to emulate the brain. In SNN, information is temporally encoded and communication between neurons is accomplished by means of spikes. In…

Emerging Technologies · Computer Science 2016-12-14 Abhronil Sengupta , Aparajita Banerjee , Kaushik Roy

We discuss the possibility to build a neutron target for nuclear reaction studies in inverse kinematics utilizing a storage ring and radioactive ion beams. The proposed neutron target is a specially designed spallation target surrounded by…

Instrumentation and Detectors · Physics 2017-05-01 René Reifarth , Kathrin Göbel , Tanja Heftrich , Mario Weigand , Beatriz Jurado , Franz Käppeler , Yuri A. Litvinov

Spiking neural networks (SNNs) are brain-inspired mathematical models with the ability to process information in the form of spikes. SNNs are expected to provide not only new machine-learning algorithms, but also energy-efficient…

Neural and Evolutionary Computing · Computer Science 2020-01-16 Yusuke Sakemi , Kai Morino , Takashi Morie , Kazuyuki Aihara

Spiking Neural Networks (SNNs) have gained popularity due to their high energy efficiency. Prior works have proposed various methods for training SNNs, including backpropagation-based methods. Training SNNs is computationally expensive…

Signal Processing · Electrical Eng. & Systems 2024-11-18 Sai Sanjeet , Bibhu Datta Sahoo , Keshab K. Parhi

The Short-Baseline Neutrino, or SBN, program consists of three liquid argon time projection chamber detectors located along the Booster Neutrino Beam at the Fermi National Accelerator Laboratory. Its main goals include searches for new…

High Energy Physics - Experiment · Physics 2020-01-08 Pedro A. N. Machado , Ornella Palamara , David W. Schmitz

Spiking neural networks (SNNs) are distributed trainable systems whose computing elements, or neurons, are characterized by internal analog dynamics and by digital and sparse synaptic communications. The sparsity of the synaptic spiking…

Machine Learning · Computer Science 2020-01-08 Hyeryung Jang , Osvaldo Simeone , Brian Gardner , André Grüning

Spiking Neural Networks (SNNs) have garnered attention over recent years due to their increased energy efficiency and advantages in terms of operational complexity compared to traditional Artificial Neural Networks (ANNs). Two important…

Neural and Evolutionary Computing · Computer Science 2025-01-15 Daniel Windhager , Lothar Ratschbacher , Bernhard A. Moser , Michael Lunglmayr

The Short-Baseline Near Detector (SBND) is one of three Liquid Argon Time Projection Chamber (LArTPC) neutrino detectors positioned along the axis of the Booster Neutrino Beam (BNB) at Fermilab, as part of the Short-Baseline Neutrino (SBN)…

High Energy Physics - Experiment · Physics 2025-01-22 Rodrigo Alvarez Garrote

This paper studies stochastic aperiodic stabilization of a networked control system (NCS) consisting of a continuous-time plant and a discrete-time controller. The plant and the controller are assumed to be connected by communication…

Systems and Control · Electrical Eng. & Systems 2022-03-08 Yohei Hosoe

Delay-coupled systems often require low-latency decisions from sparse telemetry, where dense fixed-step neural inference is wasteful and can degrade near stability margins. We introduce Network-Optimised Spiking (NOS), a trainable two-state…

Neural and Evolutionary Computing · Computer Science 2026-01-27 Muhammad Bilal

Investigated in this work are sensitivities to non-standard neutrino interactions (NSI) of a prototype detector placed about 20 meters away from the Spallation Neutron Source at the Oak Ridge National Laboratory in two years of data taking.…

Instrumentation and Detectors · Physics 2020-08-04 Keyu Ding , Daniel Pershey , Dmitry Chernyak , Jing Liu

Human cognition emerges from coordinated spiking dynamics in distributed neural circuits, where information is encoded via both firing rates and precise spike timing determined by brain rhythms. Inspired by this notion, we propose a…

Neurons and Cognition · Quantitative Biology 2026-05-05 Tingting Dan , Guorong Wu

The HIBEAM and NNBAR experiments are a proposed fundamental science experiments at the European Spallation Source, performing high precision searches for neutron conversions in several baryon number violating (BNV) channels. For simulations…

Data Analysis, Statistics and Probability · Physics 2022-09-20 Matthias Holl , Rodion Kolevatov , Bernhard Meirose , David Milstead , Blahoslav Rataj , Valentina Santoro , Luca Zanini

The neutrons for science facility (NFS), the first operational experimental area of the new GANIL/SPIRAL-2 facility, received its first beams in December 2019. Proton-induced reaction cross-sections as well as neutron beam characteristics…

We report on gold foil activation measurements performed along a vertical channel along the tank of the ultracold neutron source at the Paul Scherrer Institute. The activities obtained at various distances from the spallation target are in…

The COHERENT experiment measures neutrino-induced recoils from coherent elastic neutrino-nucleus scattering (CEvNS) with multiple nuclear targets at the Spallation Neutron Source (SNS) at the Oak Ridge National Laboratory (ORNL), USA.…

High Energy Physics - Experiment · Physics 2026-02-18 M. Adhikari , M. Ahn , D. Amaya Matamoros , P. S. Barbeau , V. Belov , I. Bernardi , C. Bock , A. Bolozdynya , R. Bouabid , J. Browning , B. Cabrera-Palmer , N. Cedarblade-Jones , S. Chen , A. I. Colón Rivera , V. da Silva , J. Daughhetee , Y. Efremenko , S. R. Elliott , A. Erlandson , L. Fabris , M. L. Fischer , S. Foster , A. Galindo-Uribarri , E. Granados Vazquez , M. P. Green , B. Hackett , J. Hakenmüller , M. Harada , M. R. Heath , S. Hedges , Y. Hino , H. Huang , W. Huang , H. Jeong , B. A. Johnson , T. Johnson , A. Khromov , D. Kim , L. Kong , A. Konovalov , Y. Koshio , E. Kozlova , A. Kumpan , O. Kyzylova , Y. Lee , S. M. Lee , G. Li , L. Li , Z. Li , J. M. Link , J. Liu , Q. Liu , X. Lu , M. Luxnat , D. M. Markoff , J. Mattingly , H. McLaurin , K. McMichael , N. Meredith , Y. Nakajima , F. Nakanishi , J. Newby , B. Nolan , J. O'Reilly , A. Orvedahl , D. S. Parno , D. Pérez-Loureiro , D. Pershey , C. G. Prior , J. Queen , R. Rapp , H. Ray , O. Razuvaeva , D. Reyna , D. Rudik , J. Runge , D. J. Salvat , J. Sander , K. Scholberg , H. Sekiya , J. Seligman , A. Shakirov , G. Simakov , J. Skweres , W. M. Snow , V. Sosnovtsev , Q. Stefan , M. Stringer , C. Su , T. Subedi , B. Suh , B. Sur , R. Tayloe , Y. -T. Tsai , J. Vaccaro , E. E. van Nieuwenhuizen , C. J. Virtue , G. Visser , K. Walkup , E. M. Ward , R. Wendell , T. Wongjirad , C. Yang , Y. Yang , J. Yoo , C. -H. Yu , Y. Yu , A. Zaalishvili , J. Zettlemoyer , Y. Zheng

Presently under construction in Lund, Sweden, the European Spallation Source (ESS) will be the world's brightest neutron source. As such, it has the potential for a particle physics program with a unique reach and which is complementary to…

Instrumentation and Detectors · Physics 2024-01-31 H. Abele , A. Alekou , A. Algora , K. Andersen , S. Baessler , L. Barron-Palos , J. Barrow , E. Baussan , P. Bentley , Z. Berezhiani , Y. Bessler , A. K. Bhattacharyya , A. Bianchi , J. Bijnens , C. Blanco , N. Blaskovic Kraljevic , M. Blennow , K. Bodek , M. Bogomilov , C. Bohm , B. Bolling , E. Bouquerel , G. Brooijmans , L. J. Broussard , O. Buchan , A. Burgman , H. Calen , C. J. Carlile , J. Cederkall , E. Chanel , P. Christiansen , V. Cirigliano , J. I. Collar , M. Collins , C. B. Crawford , E. Cristaldo Morales , P. Cupial , L. D'Alessi , J. I. M. Damian , H. Danared , D. Dancila , J. P. A. M. de Andre , J. P. Delahaye , S. Degenkolb , D. D. Di Julio , M. Dracos , K. Dunne , I. Efthymiopoulos , T. Ekelof , L. Eklund , M. Eshraqi , I. Esteban , G. Fanourakis , A. Farricker , E. Fernandez-Martinez , M. J. Ferreira , M. Fertl , P. Fierlinger , B. Folsom , A. Frank , A. Fratangelo , U. Friman-Gayer , T. Fukuda , H . O . U. Fynbo , A. Garcia Sosa , N. Gazis , B. Galnander , Th. Geralis , M. Ghosh , G. Gokbulut , J . J. Gomez-Cadenas , M. Gonzalez-Alonso , F. Gonzalez , L. Halic , C. Happe , P. Heil , A. Heinz , H. Herde , M. Holl , T. Jenke , M. Jenssen , E. Jericha , H. T. Johansson , R. Johansson , T. Johansson , Y. Kamyshkov , A. Kayis Topaksu , B. Kildetoft , K. Kirch , B. Klicek , E. Klinkby , R. Kolevatov , G. Konrad , M. Koziol , K. Krhac , A. Kupsc , L. Lacny , L. Larizgoitia , C. M. Lewis , M. Lindroos , E. Lychagin , E. Lytken , C. Maiano , P. Marciniewski , G. Markaj , B. Markisch , C. Marrelli , C. Martins , B. Meirose , M. Mezzetto , N. Milas , D. Milstead , F. Monrabal , G. Muhrer , A. Nepomuceno , V. Nesvizhevsky , T. Nilsson , P. Novella , M. Oglakci , T. Ohlsson , M. Olvegard , A. Oskarsson , T. Ota , J. Park , D. Patrzalek , H. Perrey , M. Persoz , G. Petkov , F. M. Piegsa , C. Pistillo , P. Poussot , P. Privitera , B. Rataj , D. Ries , N. Rizzi , S. Rosauro-Alcaraz , D. Rozpedzik , D. Saiang , V. Santoro , U. Schmidt , H. Schober , I. Schulthess , S. Silverstein , A. Simon , H. Sina , J. Snamina , W. M. Snow , T. Soldner , G. Stavropoulos , M. Stipcevic , B. Szybinski , A. Takibayev , Z. Tang , R. Tarkeshian , C. Theroine , J. Thorne , F. Terranova , J. Thomas , T. Tolba , P. Torres-Sanchez , E. Trachanas , R. Tsenov , U. I. Uggerhoj , G. Vankova-Kirilova , N. Vassilopoulos , R. Wagner , X. Wang , E. Wildner , M. Wolke , J. Wurtz , S. C. Yiu , S. G. Yoon , A. R. Young , L. Zanini , J. Zejma , D. Zerzion , O. Zimmer , O. Zormpa , Y. Zou