613 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 introduces AMBER, a segmentation algorithm that leverages the rotational independence of background signals to automatically decompose high-dimensional neutron scattering data into foreground and background contributions, thereby reducing expert input and systematic errors in multiplexing spectrometers.
This paper presents a methodology for characterizing the signal-to-noise ratio of a custom two-photon microscope, compares its performance against commercial systems, and provides a guide for benchmarking similar imaging instruments.
This study demonstrates that doping liquid argon with approximately 2% xenon significantly enhances gas electroluminescence signals by a factor of 2.5 due to efficient energy transfer, a phenomenon characterized through experimental measurements and an analytical model for future low-energy ionization detection applications.
This paper presents the design, construction, and in-beam characterization of Transition Radiation Detectors utilizing MicroPattern Gaseous Detector technologies (GEM, Micromegas, and RWELL) as scalable amplification stages, demonstrating their feasibility for high-rate electron identification and hadron suppression in next-generation particle physics experiments.
This paper presents an FPGA-based real-time waveform classification system for SiPM signals that utilizes resource-efficient, genetic algorithm-trained binary neural networks to enable dead-time-free data reduction and reliable particle hit extraction.
This paper proposes a cryogenic source concept that generates high-flux, ultra-cold atomic tritium via electron dissociation of solid T2 films and buffer-gas cooling, enabling precision spectroscopy of the triton charge radius and significantly improving neutrino mass measurements by eliminating molecular final-state broadening.
This paper presents an ultrafast plenoptic-camera system utilizing time-resolving single-photon avalanche diode arrays to achieve high-resolution 3D particle tracking in large, unsegmented scintillators, offering a cost-effective alternative to traditional dense segmentation for applications ranging from neutrino detection to medical imaging.
This paper introduces NuBench, an open benchmark comprising seven large-scale simulated datasets across six detector geometries, designed to facilitate the development and comparative evaluation of deep learning-based event reconstruction methods for neutrino telescopes.
This paper characterizes the performance and durability of various UV optical components, including fibers, connectors, and diffusers, under cryogenic and high-rate conditions, demonstrating their reliability for in situ calibration of photosensors in large-scale liquid argon time projection chambers like DUNE.
This paper presents a novel high voltage delivery system design for the nEXO noble liquid time projection chamber, addressing stability challenges and radiopurity requirements to prevent electrical discharges while offering guidance for future experiments in similar environments.