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.

Design and optimisation of linear variable differential transformers and voice coil actuators using finite element analysis: a methodical approach to enhance sensor response and actuation force

This study presents a systematic, FEMM-based design and optimization methodology for unified Linear Variable Differential Transformer (LVDT) sensors and Voice Coil (VC) actuators that enhances performance and minimizes heat dissipation under strict geometric and thermal constraints for high-precision applications like gravitational wave detectors, with results validated by experimental measurements.

Kumar Akhil Kukkadapu, Hans Van Haevermaet, Wim Beaumont, Nick van Remortel2026-03-10🔬 physics

Rydberg atomic polarimetry of radio-frequency fields

This paper investigates how the angular momentum quantization of Rydberg atoms creates distinct, universal spectroscopic fingerprints in electromagnetically-induced transparency signals when exposed to rotating linearly polarized radio-frequency fields, revealing two disparate atomic ladder behaviors that challenge prevailing interpretations of SI-traceable Rydberg atom electrometers.

Matthew Cloutman, Matthew Chilcott, Alexander Elliott, J. Susanne Otto, Amita B. Deb, Niels Kjærgaard2026-03-09⚛️ quant-ph

Probing the Firn Refractive Index Profile Using Antenna Response

This paper demonstrates that measuring the depth-dependent antenna reflection coefficient (S11S_{11}) of a dipole lowered into a borehole provides a rapid, centimeter-accurate method for reconstructing the vertical refractive index profile of Greenland's firn, a capability essential for optimizing the sensitivity of the Radio Neutrino Observatory-Greenland (RNO-G) experiment.

S. Agarwal, J. A. Aguilar, N. Alden, S. Ali, P. Allison, M. Betts, D. Besson, A. Bishop, O. Botner, S. Bouma, S. Buitink, R. Camphyn, S. Chiche, B. A. Clark, A. Coleman, K. Couberly, S. de Kockere, K. (…)2026-03-09🔭 astro-ph

Response of wavelength-shifting and scintillating-wavelength-shifting fibers to ionizing radiation

This study characterizes the light yield and transmission properties of Saint-Gobain's BCF-91A and Eljen Technology's new EJ-160 wavelength-shifting fibers under ionizing radiation, revealing that the EJ-160 variants offer significantly higher light yields (5–7 times greater) despite varying attenuation lengths.

W. Bae, J. Cesar, K. Chen, J. Cho, D. Du, J. Edgar, L. Earthman, O. M. Falana, M. Gajda, C. Hurlbut, M. Jackson, K. Lang, C. Lee, J. Y. Lee, E. Liang, J. Liu, C. Maxwell, C. Murthy, D. Myers, S. Nguye (…)2026-03-09🔬 physics

New 1mm thick Silicon Drift Detectors for future researches of Kaonic Atoms and the Pauli Exclusion principle

Researchers have developed new 1 mm-thick Silicon Drift Detectors that significantly enhance quantum efficiency at 30 keV while maintaining excellent energy resolution, enabling the upcoming EXKALIBUR and VIP-3 experiments to study heavier kaonic atoms and test the Pauli Exclusion Principle with greater precision.

F. Clozza, F. Sgaramella, L. Abbene, F. Artibani, M. Bazzi, G. Borghi, D. Bosnar, M. Bragadireanu, A. Buttacavoli, M. Carminati, A. Clozza, R. Del Grande, L. De Paolis, E. Demenev, C. Fiorini, I. Fri\ (…)2026-03-09🔬 physics

Position-Sensitive Silicon Photomultiplier Array with Enhanced Position Reconstruction by means of a Deep Neural Network

This paper demonstrates that applying Deep Neural Networks to a 2x2 array of linearly-graded Silicon Photomultipliers significantly improves position resolution and linearity while increasing the number of resolvable pixels by a factor of 5.7 to 12.1 compared to traditional reconstruction methods.

Cyril Alispach, Fabio Acerbi, Hossein Arabi, Domenico della Volpe, Alberto Gola, Aramis Raiola, Habib Zaidi2026-03-09🔬 physics

First results of a Monolithic Active Pixel Sensor with Internal Signal Gain Fully Integrated in a 180 nm CMOS Technology

This paper presents the first results of the CASSIA sensor, a novel monolithic active pixel sensor fabricated in 180 nm CMOS technology that utilizes fully integrated internal gain layers to achieve signal amplification, enabling operation in both low-gain proportional and high-gain single-photon avalanche modes for improved timing resolution and pile-up mitigation in high-luminosity particle physics experiments.

Heinz Pernegger (CERN, Experimental Physics Department, Geneva, Switzerland), Emma Kate Anderson (CERN, Experimental Physics Department, Geneva, Switzerland), Paula Bartulovic (University of Zagreb (…)2026-03-09🔬 physics