465 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 University of Winnipeg has successfully constructed and commissioned a pulsed laser deposition facility to produce diamond-like carbon coatings on ultracold neutron guides, achieving optical potentials up to 240 neV while identifying adhesion challenges that will be addressed in future work to support the TUCAN experiment at TRIUMF.
This paper presents optimization studies for a cosmic muon tomography scanner designed for cargo border control, utilizing both a differentiable programming approach enhanced with Bayesian Optimization and detailed GEANT4 simulations to refine detector configurations and improve material discrimination.
This article proposes a mixed Linear-Quadratic-Gaussian and control framework to establish benchmark cost functions and compute optimal, robust feedback strategies that minimize bilinear noise in gravitational wave detectors, thereby improving current observatories and guiding the design of future facilities.
This paper explores how digital fabrication, particularly desktop 3D printing, can revolutionize optical imaging systems by simplifying assembly, lowering replication barriers, and enabling modular, research-grade instruments that accelerate innovation and distributed refinement.
This paper presents a low-cost, open-hardware System-on-Module utilizing a Texas Instruments DAC81416 and an AMD Xilinx Spartan-7 FPGA to provide scalable, ultra-low noise DC electrode control for ion-trap experiments and quantum computing applications.
This paper presents a real-time FPGA-based demonstrator for 30 MHz track reconstruction in the LHCb VELO detector, detailing its architecture, data distribution, and synchronization with alignment constants while processing live data during LHCb's Run 3 operations.
The XENONnT experiment successfully utilized a YBe photoneutron source to calibrate low-energy nuclear recoil light and charge yields in liquid xenon, providing essential data for solar neutrino measurements and searches for light dark matter particles.
This paper investigates and quantifies a systematic optical broadening effect in Glass GEM-based Optical Time Projection Chambers, demonstrating through laboratory measurements and Geant4 simulations that scintillation light propagating through the GEM substrate significantly increases track intensity and width, thereby explaining discrepancies observed in the MIGDAL experiment.
This paper presents a reoptimization of the silicon-tungsten electromagnetic calorimeter (SiW-ECAL) design for future circular colliders by developing machine learning-based reconstruction methods that significantly improve energy resolution and correct energy leakage.
This paper presents the first demonstration of massively parallel, wavelength-resolved Hanbury Brown-Twiss interference across 100 spectral channels using a fast, data-driven single-photon spectrometer, establishing a scalable and throughput-efficient platform for broadband quantum technologies without the need for narrowband filtering.