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Significant human and observational resources have been dedicated to electromagnetic followup of gravitational-wave events detected by Advanced LIGO and Virgo. As the sensitivity of LIGO and Virgo improves, the rate of sources detected will…

Instrumentation and Methods for Astrophysics · Physics 2020-12-16 Daniel Finstad , Duncan A. Brown

By performing X-rays measurements in the "cosmic silence" of the underground laboratory of Gran Sasso, LNGS-INFN, we test a basic principle of quantum mechanics: the Pauli Exclusion Principle (PEP), for electrons. We present the achieved…

We apply classical machine vision and machine deep learning methods to prototype signal classifiers for the search for extraterrestrial intelligence. Our novel approach uses two-dimensional spectrograms of measured and simulated radio…

Instrumentation and Methods for Astrophysics · Physics 2019-02-08 G. R. Harp , Jon Richards , Seth Shostak Jill C. Tarter , Graham Mackintosh , Jeffrey D. Scargle , Chris Henze , Bron Nelson , G. A. Cox , S. Egly , S. Vinodababu , J. Voien

Many applications involve detecting and localizing specific sound events within long, untrimmed documents, including keyword spotting, medical observation, and bioacoustic monitoring for conservation. Deep learning techniques often set the…

Audio and Speech Processing · Electrical Eng. & Systems 2023-12-27 Piper Wolters , Logan Sizemore , Chris Daw , Brian Hutchinson , Lauren Phillips

We propose a new model of Bayesian Neural Networks to not only detect the events of compact binary coalescence in the observational data of gravitational waves (GW) but also identify the full length of the event duration including the…

Instrumentation and Methods for Astrophysics · Physics 2021-03-31 Yu-Chiung Lin , Jiun-Huei Proty Wu

Event cameras are bio-inspired sensors that capture intensity changes asynchronously with distinct advantages, such as high temporal resolution. Existing methods for event-based object/action recognition predominantly sample and convert…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Jiazhou Zhou , Kanghao Chen , Lei Zhang , Lin Wang

Aligning beamlines at synchrotron light sources is a high-dimensional, expensive-to-sample optimization problem, as beams are focused using a series of dynamic optical components. Bayesian Optimization is an efficient machine learning…

Accelerator Physics · Physics 2024-08-14 Megha R. Narayanan , Thomas W. Morris

Transition edge sensors (TESs) are superconducting energy-resolving microcalorimeters that have demonstrated low background rates as well as quantum efficiencies close to unity for photons at optical and near-infrared wavelengths. This…

We report on several features present in the energy spectrum from an ultra low-noise germanium detector operated at 2,100 m.w.e. By implementing a new technique able to reject surface events, a number of cosmogenic peaks can be observed for…

Measurement of a physical quantity such as light intensity is an integral part of many reconstruction and decision scenarios but can be costly in terms of acquisition time, invasion of or damage to the environment and storage. Data…

Machine Learning · Computer Science 2025-02-26 Catherine F. Higham , Paul Henderson , Roderick Murray-Smith

Objective: A clinical decision support tool that automatically interprets EEGs can reduce time to diagnosis and enhance real-time applications such as ICU monitoring. Clinicians have indicated that a sensitivity of 95% with a specificity…

In the search for exotic events involving displaced particles at HL-LHC, the triggering at the level-1 (L1) system will pose a significant challenge. This is particularly relevant in scenarios where low mass long-lived particles (LLPs) are…

High Energy Physics - Phenomenology · Physics 2023-08-29 Biplob Bhattacherjee , Partha Konar , Vishal Singh Ngairangbam , Prabhat Solanki

Event-based cameras (EBCs) are an attractive sensing modality for surveillance due to their reporting of pixel-level radiance changes with microsecond resolution and high dynamic range, enabling motion extraction while suppressing…

Optics · Physics 2026-05-18 Megan Birch , James Rick , Adrish Kar , Jason Zutty , Joseph L. Greene

A four-fold segmented n-type point-contact "Broad Energy" high-purity germanium detector, SegBEGe, has been characterised at the Max-Planck-Institut f\"ur Physik in Munich. The main characteristics of the detector are described and first…

Instrumentation and Detectors · Physics 2019-03-27 I. Abt , A. Caldwell , B. Donmez , C. Etrillard , C. Gooch , L. Hauertmann , M. O. Lampert , H. Liao , X. Liu , H. Ma , B. Majorovits , O. Schulz , M. Schuster

LEGEND, the Large Enriched Germanium Experiment for Neutrinoless $\beta\beta$ Decay, is a ton-scale experimental program to search for neutrinoless double beta ($0\nu\beta\beta$) decay in the isotope $^{76}$Ge with an unprecedented…

Instrumentation and Detectors · Physics 2021-06-02 F. Edzards , M. Willers , A. Alborini , L. Bombelli , D. Fink , M. P. Green , M. Laubenstein , S. Mertens , G. Othman , D. C. Radford , S. Schönert , G. Zuzel

The physics potential of EDELWEISS detectors for the search of low-mass Weakly Interacting Massive Particles (WIMPs) is studied. Using a data-driven background model, projected exclusion limits are computed using frequentist and…

We describe a new high-purity germanium (HPGe) detector setup for low-background {\gamma}-ray spectrometry. The GeMSE facility (Germanium Material and meteorite Screening Experiment) is dedicated to material screening for rare event…

Instrumentation and Detectors · Physics 2017-01-06 M. v. Sivers , B. A. Hofmann , Å. V. Rosén , M. Schumann

The Dark MAtter Particle Explorer (DAMPE) instrument is a space-borne cosmic-ray detector, capable of measuring ion fluxes up to $\sim$500 TeV/n. This energy scale is made accessible through its calorimeter, which is the deepest currently…

The ultralow detection threshold, ultralow intrinsic background, and excellent energy resolution of p-type point-contact germanium detector are important for rare-event searches, in particular for the detection of direct dark matter…

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