🔬 Category

physics.ins-det

540 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.

⚡ electrical engineering

An Open-Source, Autonomous Platform for High-Resolution Energy Monitoring in Manufacturing

This paper introduces the Autonomous Energy Monitoring System (AEMS), an open-source, low-cost platform that bridges the gap between proprietary commercial analyzers and general-purpose hardware by delivering research-grade, high-resolution three-phase energy data with industrial robustness, enabling autonomous monitoring and detailed process analysis for manufacturing applications.

Vignesh Selvaraj, Aditya Nagaraj, Shengyuan Zhang, Sina Sadeghian, Sangkee Min2026-07-20
🔬 physics

Nuclotron internal target polarimeter for the measurements of the deuteron and proton beam polarization

This paper reports on the development and application of a scintillation counter-based internal target polarimeter at the Nuclotron/NICA facility to precisely measure the vector polarization of deuteron beams across multiple energies and the polarization of a newly accelerated 500 MeV proton beam.

I. S. Volkov, V. P. Ladygin, A. V. Averyanov, E. V. Chernykh, D. Enache, Yu. V. Gurchin, A. Yu. Isupov, M. Janek, J. -T. (…)2026-07-20
🔬 materials science

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy

The Mic-hackathon 2024 bridged the gap between machine learning and microscopy communities by fostering collaboration to address data inefficiencies, develop real-time ML analytics, and produce benchmark datasets and digital twins to standardize workflows for electron and scanning probe microscopy.

Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desh (…)2026-07-17
🔬 physics

Comprehensive study of timing resolution in plastic scintillator detectors with wavelength-shifting fiber and silicon photomultiplier readout

This paper presents a comprehensive study of timing resolution in plastic scintillator detectors using wavelength-shifting fibers and silicon photomultipliers, combining a semi-analytical model with toy Monte Carlo and full Geant4 simulations to validate predictions and generate quantitative design maps for optimizing detector performance across various materials, components, and configurations.

Haohui Che, Guang Yang2026-07-17
⚛️ high-energy experiments

Summary of quality control (QC) of ATLAS18 production ITk strip sensors

This paper outlines the comprehensive, standardized quality control framework implemented across international institutes to validate the mechanical and electrical conformity of approximately 18,000 ATLAS18 silicon strip sensors for the HL-LHC ITk upgrade, reporting a 91% acceptance rate and detailing key performance metrics and anomaly case studies from over 590 production batches.

P. Federičováa, A. Affolder, K. Affolder, A. Awais, G. A. Beck, A. J. Bevan, Z. Chen, J. Dandoy, I. Dawson, V. Fadeyev (…)2026-07-17
🔬 physics

Intrinsic Spatial Position Resolution of P-type Point-Contact Germanium Detector

This study establishes a complete physical analysis framework to quantitatively evaluate the intrinsic spatial position resolution of p-type point-contact germanium detectors and demonstrates its application in tracing real environmental backgrounds for future large-scale rare-event experiments.

R. M. J. Li, S. K. Liu, S. T. Lin, Q. Y. Li, L. T. Yang, Q. Yue, Q. Wang, H. Y. Li, X. Y. Peng, H. Y. Xing, J. J. Zhu2026-07-17
⚛️ high-energy experiments

Comparative study and optimization of SDHCAL hadronic energy reconstruction methods

This paper evaluates various hadronic energy reconstruction methods for the SDHCAL within the ILD detector using the APRIL Particle Flow Algorithm, finding that split and polynomial regression techniques offer the best balance of linearity and resolution while highlighting the potential of integrating precise timing information to further reduce PFA confusion.

Tanguy Pasquier, Gérald Grenier, Imad Laktineh2026-07-17