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.

The chemRIXS Instrument for the LCLS-II X-Ray Free Electron Laser

This paper presents an overview of the chemRIXS instrument at LCLS-II, highlighting how its high-repetition-rate superconducting accelerator and advanced supporting systems enable unprecedented time-resolved soft X-ray spectroscopy studies on dilute solution-phase samples compared to the previous LCLS-I facility.

David J. Hoffman, Douglas Garratt, Matthew Bain, Christina Y. Hampton, Benjamin I. Poulter, Jyoti Joshi, Giacomo Coslovich, Frank P. O'Dowd, Daniel P. DePonte, Alexander H. Reid, Lingjia Shen, Daniel (…)2026-03-31🔬 physics

Pushing the Limits of Pulse Shape Discrimination in a Large Liquid Xenon Detector

This paper presents an optimized analysis framework for Pulse Shape Discrimination (PSD) in the LUX-ZEPLIN (LZ) experiment that, when combined with charge-to-light measurements into a two-factor discrimination method, significantly reduces electronic recoil background leakage and false positive rates in the search for dark matter.

D. S. Akerib, A. K. Al Musalhi, F. Alder, B. J. Almquist, C. S. Amarasinghe, A. Ames, T. J. Anderson, N. Angelides, H. M. Araújo, J. E. Armstrong, M. Arthurs, A. Baker, S. Balashov, J. Bang, J. W. B (…)2026-03-31⚛️ hep-ex

Xenon Signal Denoising via Supervised, Semi-Supervised, and Unsupervised Models

This study demonstrates that supervised, semi-supervised, and unsupervised machine learning models can effectively denoise simulated single-phase liquid xenon time projection chamber signals to achieve energy resolutions of approximately 1% or better, offering a promising path toward enhancing the sensitivity of neutrinoless double beta decay searches.

Grant Kendrick Parker, Jason Brodsky, Indra Chakraborty2026-03-31⚛️ nucl-ex

Material Identification using Multi-Modal Intrinsic Radiation and Radiography

This paper demonstrates that a random forest classifier leveraging combined X-ray radiography, high-resolution gamma-ray spectroscopy, and neutron multiplicity measurements can achieve near-perfect accuracy in identifying special nuclear material configurations surrounded by unknown shielding shells, significantly outperforming gamma-only methods.

Khoa Nguyen, Brendt Wohlberg, Oleg Korobkin, Marc Klasky2026-03-31🔬 physics

Integration and characterization of Readout Electronics System for dN/dx Measurement with Drift Chamber Prototype

This paper presents the design and characterization of a scalable, low-noise 120-channel readout electronics system with high bandwidth and sampling rate that successfully demonstrates the signal fidelity and timing precision required for high-precision particle identification via the cluster counting technique in drift chambers.

Dongcheng Cai, Qicai Li, Mingyi Dong, Weile Gong, Mengyang Ji, Hongbin Liu, Wenyu Pan, Linghui Wu, Dewei Xu, Yimie Yuan, Hongyu Zhang, Guang Zhao, Yubin Zhao2026-03-31🔬 physics

Construction and characterization of a muon trigger detector for the PSI muEDM experiment

This paper presents the design, construction, and beam test results of the Muon Trigger Detector (MTD) for the PSI muEDM experiment, demonstrating through experimental data and Geant4 simulations that the system successfully identifies storable muons to enable a sensitivity improvement of over three orders of magnitude in the muon electric dipole moment measurement.

Guan Ming Wong, Tianqi Hu, Samip Basnet, Chavdar Dutsov, Siew Yan Hoh, David Höhl, Xingyun Huang, Timothy David Hume, Alexander Johannes Jäger, Kim Siang Khaw, Meng Lyu, Ljiljana Morvaj, Jun Kai N (…)2026-03-31⚛️ hep-ex

Suppression of 14C^{14}\mathrm{C} photon hits in large liquid scintillator detectors via spatiotemporal deep learning

This paper proposes three deep learning models—a gated spatiotemporal graph neural network and two Transformer-based architectures—that effectively tag and suppress 14^{14}C photon hits in liquid scintillator detectors, significantly improving energy resolution for overlapping e+e^+ and 14^{14}C events while maintaining a low misidentification rate.

Junle Li, Zhaoxiang Wu, Guanda Gong, Zhaohan Li, Wuming Luo, Jiahui Wei, Wenxing Fang, Hehe Fan2026-03-31⚛️ hep-ex

Enhanced dynamic range spatio-spectral metrology of few-cycle laser pulses

This paper proposes a robust and simple solution involving spectral filtering and stitching to overcome the dynamic range limitations of existing metrology techniques, thereby enabling accurate spatio-spectral characterization of few-cycle laser pulses across various devices like INSIGHT, IMPALA, and spatially resolved Fourier transform spectrometry.

Cristian Alexe, Aaron Liberman, Saga Westerberg, Andrea Angella, Anda-Maria Talposi, Erik Löfquist, Alice Dumitru, Andrew H. Okukura, Flanish D'Souza, Cornelia Gustafsson, Anders Persson, Chen Guo (…)2026-03-31🔬 physics.optics