591 papers
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.
This paper proposes that ground-based and future laser interferometric gravitational wave detectors can probe Majoron dark matter by utilizing additional optics to detect the oscillatory photon birefringence induced by the dark matter's QED anomaly coupling, which naturally falls within the sensitivity range of these instruments.
SPIROS is a lightweight, open-source optical simulation tool designed for particle physics detectors that offers a user-friendly interface, direct CAD import, and validation against GEANT4 while running more than twice as fast for typical configurations.
This study utilizes a single-cell readout SiPM structure and three validated analysis methods to demonstrate that afterpulse probability and time constants remain largely independent of neutron irradiation fluence, with probabilities below 6% and time constants under 10 ns for overvoltages between 3 and 5 V.
This paper demonstrates that Graph Neural Networks, integrated into an automated multi-objective optimization framework and accelerated by a fast optical photon simulation, outperform classical methods for energy measurement, particle identification, and detector design optimization of a proposed iron-scintillator calorimeter for the Electron Ion Collider's second detector.
This paper presents the design, construction, and performance testing of the PandaX-xT cryogenics system, which utilizes two Gifford-McMahon cooling towers and an emergency liquid-nitrogen coil to efficiently manage approximately 43 tons of liquid xenon, achieving a cooling power of about 1900 W at 178 K and maintaining stable pressure fluctuations for a 1-tonne prototype.
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.
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.
This paper presents the design, construction, and testing of a modular 24-detector NaI(Tl) array with custom pulse and current-mode electronics, developed by the NOPTREX Collaboration to measure parity-odd asymmetries in neutron-nucleus interactions, as demonstrated by the successful observation of the 0.7 eV parity-violating resonance in 139La at LANSCE.
The paper introduces a True Alternating Current Scanning Tunneling Microscope (ACSTM) that utilizes a pure AC signal without a DC component to achieve atomic-resolution imaging and high-frequency electronic characterization on non-conducting surfaces, such as thin silicon oxide, overcoming the conductivity limitations of traditional STM.
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.