This collection explores the fascinating world of instrumentation and detection within physics, focusing on the tools and sensors that allow scientists to measure the universe. From advanced particle trackers to sensitive gravitational wave detectors, these innovations form the backbone of modern discovery, turning abstract theories into observable data.

On Gist.Science, we process every new preprint in this field as it appears on arXiv, ensuring you stay ahead of the curve. Each paper is accompanied by a clear, plain-language explanation alongside a detailed technical summary, bridging the gap between complex research and accessible knowledge.

Below are the latest papers in physics instrumentation and detection, offering fresh insights into how we observe the fundamental nature of reality.

Fast reconstruction-based ROI triggering via anomaly detection in the CYGNO optical TPC

This paper presents an unsupervised, reconstruction-based anomaly detection method using a pedestal-trained convolutional autoencoder to efficiently extract Regions of Interest from CYGNO optical TPC images, achieving high signal retention and significant data reduction with low inference latency on consumer hardware.

F. D. Amaro, R. Antonietti, E. Baracchini, L. Benussi, C. Capoccia, M. Caponero, L. G. M. de Carvalho, G. Cavoto, I. A. Costa, A. Croce, M. D'Astolfo, G. D'Imperio, G. Dho, E. Di Marco, J. M. F. dos S (…)2026-04-09🔬 physics

Science of Cryogenic sub-Hz cROss torsion bar detector with quantum NOn-demolition Speed meter (CHRONOS)

The CHRONOS paper proposes a novel ground-based cryogenic torsion-bar detector utilizing a Sagnac speed-meter readout to overcome seismic and quantum noise limitations, thereby enabling sub-Hz gravitational-wave observations of intermediate-mass black holes and stochastic backgrounds in the currently unexplored frequency band between space-based and ground-based interferometers.

Yuki Inoue, Hsiang-Yu Huang, Vivek Kumar, Mario Juvenal S. Onglao II, Daiki Tanabe, Ta-Chun Yu2026-04-09🔭 astro-ph

Multispectral representation of Distributed Acoustic Sensing data: a framework for physically interpretable feature extraction and visualization

This paper introduces a multispectral framework that decomposes Distributed Acoustic Sensing (DAS) strain-rate data into frequency-band energy images to enable physically interpretable visualization and feature extraction, which significantly improves automated whale vocalization detection and clustering performance.

Sergio Morell-Monzó, Dídac Diego-Tortosa, Isabel Pérez-Arjona, Víctor Espinosa2026-04-09📊 stat

Single-Photon Sensitive Optoelectronic Fibres for Distributed Nuclear Radiation Detection in Textile Fabrics

This paper presents flexible, single-photon sensitive optoelectronic fibres integrated with silicon photomultipliers and tungsten-merino wool braiding, enabling the machine-weaving of large-area, conformal textile fabrics capable of real-time, high-spatial-resolution gamma radiation dosimetry.

Nikhil Gupta, Hang Qi, Julian Kahlbow, Igor Korover, Areg Danagoulian, Or Hen, Yoel Fink2026-04-08⚛️ nucl-ex

Noise budget of Cryogenic sub-Hz cROss torsion bar detector with quantum NOn-demolition Speed meter (CHRONOS)

This paper presents the noise budget analysis and performance evaluation of CHRONOS, a proposed cryogenic sub-Hz gravitational-wave detector utilizing a cross torsion-bar configuration and quantum speed meter readout, demonstrating its potential to achieve competitive low-frequency sensitivity while also enabling faster earthquake early warnings through prompt gravity-gradient detection.

Mario Juvenal S. Onglao III, Hsiang-Yu Huang, Yuki Inoue, Vivek Kumar, Daiki Tanabe2026-04-08⚛️ gr-qc

A Data-Driven Fast Simulation Approach for MAPS-based Detectors and their Optimization

This paper presents a fast, data-driven parametric simulation tool for pixel sensors that bypasses the need for proprietary manufacturing details by using measurement inputs, demonstrating its efficiency and validation on the MALTA2 sensor to guide performance optimizations for the upcoming MALTA3 redesign.

Dumitru Vlad Berlea, Lucian Fasselt, Prafulla Behera, Daniela Bortoletto, Craig Buttar, Theertha Chembakan, Valerio Dao, Ganapati Dash, Sebastian Haberl, Tomohiro Inada, Fuat Kerem Isik, Cigdem Isseve (…)2026-04-08⚛️ hep-ex

Particle background characterization and prediction for the NUCLEUS reactor CEννNS experiment

This paper presents a comprehensive prediction of particle-induced backgrounds for the NUCLEUS experiment at the Chooz nuclear power plant, demonstrating through environmental measurements and Geant4 simulations that the setup achieves sufficient background rejection to enable the detection of Coherent Elastic Neutrino-Nucleus Scattering with a signal-to-background ratio greater than one in the sub-keV energy range.

H. Abele, G. Anglogher, B. Arnold, M. Atzori Corona, A. Bento, E. Bossio, F. Buchsteiner, J. Burkhart, F. Cappella, M. Cappelli, N. Casali, R. Cerulli, A. Cruciani, G. Del Castello, M. del Gallo Rocca (…)2026-04-07⚛️ nucl-ex

Characterization of GS20 and CLYC Detectors for Neutron Resonance Transmission Analysis in High Radiation Environments

This paper demonstrates that while GS20 is a proven portable neutron detector, CLYC detectors are superior for neutron resonance transmission analysis in high gamma-radiation environments typical of thorium-based safeguards due to their strong pulse-shape discrimination capabilities, which yield significantly more precise measurements despite longer decay times.

Shayaan Subzwari, Benjamin McDonald, Areg Danagoulian2026-04-07⚛️ nucl-ex