465 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 establishes a low-energy ion injection scheme into a gaseous detector and measures the ionization yield of fluorine ions in low-pressure gas, finding a value of 0.45 at 30 keV to improve the accuracy of direction-sensitive dark matter search experiments.
This paper proposes GravNet, a conceptual design for a global network of geographically separated detectors operating in strong magnetic fields to search for high-frequency gravitational waves (MHz to GHz) by synchronizing measurements to distinguish signals from noise and enhance detection significance.
This paper introduces PySiPMGUI, an open-source, platform-independent Python-based graphical user interface that automates the characterization of Silicon Photomultipliers (SiPMs) using PyVISA-controlled instruments to support quality assurance in diverse high-energy and astroparticle physics experiments.
This paper presents a high-granularity silicon telescope system with an sensitive area that achieves unprecedented simultaneous spatial and charge resolution for high-energy nuclei ( to $29$) through a hybrid machine learning algorithm validated by CERN SPS beam tests.
This paper presents a detailed beam test characterization of the flight-model silicon microstrip detector ladders for the AMS-02 Layer-0 upgrade, evaluating their spatial resolution, response consistency across ladder regions, and angular dependence using a 350 GeV mixed hadron beam at CERN.
This paper presents a real-time Wiener deconvolution algorithm implemented on JUNO's FPGA-based readout boards to enable online signal reconstruction from photomultiplier tubes, thereby improving the detection of low-energy neutrino events while managing high data throughput and minimizing storage requirements.
This paper presents a comprehensive phenomenological analysis of the Ho calorimetric electron capture spectrum from the HOLMES experiment, modeling the unfolded data as a sum of Breit-Wigner resonances and shake-off continua to accurately describe spectral features, validate against theoretical calculations, and provide a robust framework for future neutrino mass experiments.
To support the BES-II program at RHIC, the STAR experiment implemented a complementary dual real-time framework combining a High Level Trigger for online event selection and an Express Data Production system for rapid, near offline-quality reconstruction, enabling prompt physics analysis and demonstrating scalability for future high-luminosity experiments.
This study demonstrates that discretized Halbach spheres constructed from permanent magnets arranged with icosahedral symmetry offer a practical and scalable solution for generating highly homogeneous magnetic fields, achieving usable volumes up to 260 times larger than traditional cylindrical arrays while maintaining deviations below 1%.
This paper presents a comprehensive five-year analysis of scintillation light performance in the MicroBooNE detector, detailing its simulation, calibration, and triggering efficiency while reporting novel observations of a significant long-term light yield decline and an unexpectedly high single photoelectron noise rate.