606 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.
This paper introduces QueueIOC, a comprehensive Python framework that addresses EPICS architectural deficiencies by leveraging the caproto protocol and event loops to create flexible, maintainable IOCs capable of handling complex applications like StreamDevice workalikes, sequencers, and detector integration.
This paper presents the fabrication and characterization of a prototype normal-conducting microwave cavity featuring wall corrugations to support hybrid modes, demonstrating a tunable heterodyne axion detection system that achieves significant noise suppression and holds promise for orders-of-magnitude improvements in sensitivity when scaled to superconducting technology.
Using a single-charge sensitive SuperCDMS-HVeV detector operated underground at Fermilab with minimized background luminescence, this study presents new constraints on low-mass dark matter electron scattering and absorption interactions, achieving sensitivity down to 1 MeV/c² for scattering and probing axionlike particles and dark photons with masses greater than 1.2 eV/c².
This paper presents and validates a single-shot, spatially resolved spectropolarimetry technique using a stress-engineered optic and a lenslet array to simultaneously distinguish laser wavelengths and polarization states, achieving high angular accuracy suitable for applications ranging from extreme laser characterization to liquid crystal display analysis.
This study investigates the effect of selenium concentration on the bromine-methanol etching of crystals, revealing a significant decrease in etching rate with increasing selenium content due to structural hardening and proposing a thermodynamic model to describe these findings.
This paper presents an experimental demonstration of a single-shot, simultaneous spatially resolved polarimetry and wavefront sensing system using stress-engineered optics within a Shack-Hartmann sensor, achieving high-precision reconstruction of both Stokes parameters and wavefront gradients from a single frame.
This paper introduces a scalable, FPGA-compatible framework for photon-number-resolved detection in superconducting nanowire single-photon detectors by demonstrating that principal component analysis extracts photon-number information from a single component approximating the mean trace derivative, while also proposing a Bhattacharyya coefficient-based metric to benchmark system performance with moderate hardware requirements.
This paper proposes a kaleidoscopic scintillator design that uses mirror reflections to amplify light collection from individual high-energy particle events, enabling high-resolution 3D imaging and machine vision analysis using commercial single-photon cameras despite the challenge of extremely low photon counts.
This paper introduces an advanced model for microwave SQUID multiplexers that accurately predicts resonance characteristics across the full range of screening parameters and accounts for Josephson junction inhomogeneities, significantly improving agreement with experimental data and enabling optimization beyond previously accessible operating regimes.
This paper summarizes the main features, Run-3 performance, and physics impact of the upgraded ATLAS Trigger system, which was enhanced to handle increased luminosity and pile-up conditions while reducing the event rate for offline analysis.