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 paper proposes and validates a novel Richardson-Lucy-based iterative algorithm for proton computed tomography image reconstruction, demonstrating through Monte Carlo simulations that it achieves high spatial resolution and low relative stopping power uncertainty as a promising proof-of-concept for improving proton therapy accuracy.
The paper proposes a mechanical interferometric scheme using interacting levitated oscillators to measure Newton's constant with unprecedented accuracy, potentially surpassing current standards by several orders of magnitude.
This paper presents the first implementation of a real-time Graph Neural Network on an FPGA for the Belle II electromagnetic calorimeter trigger, which achieves 8 MHz throughput with 3.168 μs latency while significantly improving position resolution, cluster purity, and efficiency compared to the baseline algorithm.
This study utilizes archival GPS carrier phase data to conduct a retrospective search for exotic low-mass fields emitted by the GW170817 binary neutron star merger, finding no significant signal but establishing new 95% confidence-level constraints on the interaction energy scale of quadratic couplings that improve upon existing astrophysical limits.
This paper presents the first three-dimensional imaging of the undepleted volume in a p-type high-purity germanium detector using spatially-resolved Compton scattering efficiency, a method that successfully derived the detector's impurity density profile and validated it against capacitance measurements.
This paper reports the first instrumentally documented fall and recovery of an iron meteorite in Sweden, utilizing multi-sensor data to reconstruct its atmospheric trajectory, derive its heliocentric orbit, and analyze the unique aerodynamic properties that distinguish iron meteoroids from stony bodies.
This paper introduces SolidStateDetectors.jl, an open-source Julia package designed for efficient, parallel 3D simulation of electric fields, charge carrier drifts, and signal pulses in semiconductor detectors, with a specific focus on germanium devices.
This paper investigates alpha-induced surface events on passivated germanium detectors by analyzing charge trapping effects, verifying pulse-shape identification techniques, discovering a novel dependence on crystal axes, and introducing a simulation model within SolidStateDetectors.jl to better understand background contributions in neutrinoless double-beta decay searches.
This paper presents a novel Bayesian inference method using a machine-learning surrogate model trained on GPU-accelerated simulations to accurately determine the spatially varying impurity density of high-purity germanium detectors from capacitance measurements, overcoming the limitations of traditional manufacturer data.
This study investigates the temperature dependence of electron-drift anisotropy in n-type germanium detectors, revealing that standard drift models yield unphysical predictions and proposing a modified model that better aligns with experimental data obtained from surface scans at varying temperatures.