621 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 study experimentally and theoretically demonstrates the complex internal dynamics of spatiotemporal optical vortex (STOV) strings, revealing novel phenomena such as spatiotemporal attraction, singularity oscillation, and filament stretching through a new single-shot tomographic retrieval method.
The XENONnT experiment has reported the first measurement of nuclear recoils from solar B neutrinos using coherent elastic neutrino-nucleus scattering, providing a solar neutrino flux and cross section consistent with Standard Model predictions.
This paper demonstrates a method for locating a three-dimensional radio frequency source by using a single, compact, and integrated atomic magnetometer to take multiple measurements of a magnetic dipole.
This study details the fabrication and characterization of X-ray transition edge sensors (TESs) using unique annular AlMn alloy films, achieving an energy resolution of 11.0 eV at 5.9 keV.
The LCLStream ecosystem is a new end-to-end data streaming framework that integrates cloud microservices with HPC models to provide a secure, API-driven, and high-speed data request service for diverse scientific applications, such as AI training and X-ray analysis.
This paper presents the performance testing of various AstroPix HV-CMOS prototype configurations designed for high-precision gamma-ray imaging in both space-based payloads and the Barrel Imaging Calorimeter of the future ePIC detector.
This paper proposes a U-Net-based deep learning framework to enhance the image quality of short-time Muon Scattering Tomography, significantly improving reconstruction accuracy and similarity to ground truth even when faced with limited muon flux.
This paper applies information theory metrics—such as entropy and mutual information—to quantify how various stages of the X-ray microscopy workflow redistribute information and create bottlenecks, providing a unified framework for optimizing imaging protocols and assessing reconstruction fidelity.
This paper introduces a novel SQUID-based microcalorimeter concept that utilizes the temperature-dependent magnetic penetration depth of a superconductor for mutual inductance readout, offering tunable signal amplification and a potential pathway toward achieving sub-100 meV energy resolution for high-precision X-ray spectroscopy.
This study uses Geant4 simulations to demonstrate how the distance between the photodetector plane and the gas pocket non-monotonically affects the accuracy and resolution of S2-based XY reconstruction in a dual-phase argon TPC, providing key insights for optimizing detector geometry.