556 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.
The RD50-MPW4, a 150 nm HV CMOS sensor prototype developed by the CERN RD50 collaboration, demonstrates exceptional radiation hardness with over 99% efficiency after irradiation to 1 MeV n, alongside high spatial (16 m) and timing (10 ns) resolutions, making it a promising candidate for future collider detectors.
This paper presents the development and successful validation of a high-performance, modular 64-channel readout system (PDS1500) for the Jinping Neutrino Experiment, demonstrating that its high-speed sampling, low-noise, and deterministic timing capabilities fully meet the stringent requirements for future large-scale neutrino detection.
This paper presents a novel direct reconstruction method for X-ray scattering tensor tomography that approximates iterative results with a single filtering and back-projection step, achieving over an order-of-magnitude speedup to enable real-time, high-throughput nanoscale structural imaging on commercial hardware.
This paper presents an improved analytical framework for estimating scattered light noise in ground-based gravitational wave detectors by incorporating full frequency-dependent optomechanical responses, including radiation-pressure coupling and signal-extraction dynamics, which reveals significant deviations from legacy estimates particularly for future detectors like the Einstein Telescope.
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.
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.
This paper presents a novel optimization approach for gravitational-wave detector design that maximizes robustness against optical fabrication and installation errors, successfully demonstrating improved performance for both arm cavity scattering losses and signal recycling cavity squeezing in the LIGO A+ configuration.
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.
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.
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.