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.

Systematic study of high performance GeSn photodiodes with thick absorber for SWIR and extended SWIR detection

This paper presents a systematic empirical study of high-performance GeSn photodiodes with thick absorbers (up to 2630 nm) and varying tin content (2–8%), demonstrating high responsivity and extended SWIR detection capabilities while analyzing the impact of doping design and defects to propose optimization strategies for commercial-grade devices.

Quang Minh Thai, Rajesh Kumar, Abdulla Said Ali, Justin Rudie, Steven Akwabli, Yunsheng Qiu, Mourad Benamara, Hryhorii Stanchu, Kushal Dahal, Xuehuan Ma, Sudip Acharya, Chun-Chieh Chang, Gregory T. Fo (…)2026-02-18🔬 physics.app-ph

GPS constellation search for exotic physics messengers coincident with the binary neutron star merger GW170817

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.

Arko P. Sen, Geoffrey Blewitt, Andrey Sarantsev, Paul Ries, Andrei Derevianko2026-02-18🔬 physics.atom-ph

Impact of front-end parameters of the ARCADIA MD3 on charged particle detection

This paper presents the first in-beam characterization of the ARCADIA MD3 sensor, a 200 μm thick FD-MAPS developed using a customized LFoundry 110 nm process, to investigate how front-end parameters affect tracking performance when tested with a 120 GeV proton beam at Fermilab.

C. Pantouvakis, S. Garbolino, M. Rignanese, P. Affleck, A. Apresyan, P. Azzi, N. Bacchetta, C. Bonini, D. Chiappara, S. Ciarlantini, D. Falchieri, A. Hayrapetyan, S. Mattiazzo, L. Pancheri, D. Pantano (…)2026-02-18🔬 physics

The COHERENT Experiment: 2026 Update

The 2026 update for the COHERENT experiment outlines its strategy to achieve percent-level precision in measuring coherent elastic neutrino-nucleus scattering and other neutrino-nucleus cross sections by scaling up detector masses, lowering thresholds, and utilizing diverse nuclear targets at the Spallation Neutron Source to test the Standard Model and support future supernova neutrino detection efforts.

M. Adhikari, M. Ahn, D. Amaya Matamoros, P. S. Barbeau, V. Belov, I. Bernardi, C. Bock, A. Bolozdynya, R. Bouabid, J. Browning, B. Cabrera-Palmer, N. Cedarblade-Jones, S. Chen, A. I. Colón Rivera, V. (…)2026-02-18⚛️ nucl-ex

Identification and simulation of surface alpha events on passivated surfaces of germanium detectors and the influence of metalisation

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.

Iris Abt, Christopher Gooch, Felix Hagemann, Lukas Hauertmann, Xiang Liu, Oliver Schulz, Martin Schuster, Anna Julia Zsigmond2026-02-17🔬 physics

Bayesian inference of high-purity germanium detector impurities based on capacitance measurements and machine-learning accelerated capacitance calculations

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.

Iris Abt, Christopher Gooch, Felix Hagemann, Lukas Hauertmann, Xiang Liu, Oliver Schulz, Martin Schuster2026-02-17🔬 physics

Temperature Dependence of the Electron-Drift Anisotropy and Implications for the Electron-Drift Model

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.

Iris Abt, Chris Gooch, Felix Hagemann, Lukas Hauertmann, David Hervas Aguilar, Xiang Liu, Oliver Schulz, Martin Schuster, Anna Julia Zsigmond2026-02-17⚛️ nucl-ex