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.
This paper presents a numerical model of SNSPD absorption that incorporates quantum-corrected optical conductivity of niobium nitride films, demonstrating that the detector's wavelength range is significantly influenced by the material's optical properties rather than solely by its geometric cavity parameters.
This paper outlines the principles, accuracy conditions, and critical importance of Decompositional Electromagnetic Analysis (DEA) as an efficient method for identifying and troubleshooting signal degradation in high-speed digital interconnects operating at data rates up to 224 Gbps.
This paper presents a robust optoelectronic alignment technique for superconducting nanowire single-photon detectors (SNSPDs) that utilizes the temperature-dependent resistivity change induced by optical absorption to achieve sub-micron fiber-to-nanowire coupling precision.
This paper proposes a tabletop-scale detector using an amorphous target and phonon sensing to achieve broadband sensitivity for dark photon absorption in the 50–200 meV mass range, potentially surpassing existing constraints by up to two orders of magnitude.
This paper presents projected sensitivity estimates showing that the KATRIN experiment, utilizing its upcoming TRISTAN detector upgrade, will be capable of probing keV-scale sterile neutrino mixing amplitudes down to for masses between 4 and 13 keV, significantly extending the reach of previous laboratory searches despite potential systematic uncertainties.
This paper extends Interferometric Particle Imaging (IPI) to characterize small ice crystals down to a few micrometers by combining Phase Field Modelling with Discrete Dipole Approximation simulations, demonstrating that the technique's core principle remains valid for particles as small as 11.5 wavelengths despite the need for wide viewing angles.
This paper presents the design and experimental characterization of the POKERINO prototype, a PbWO-based electromagnetic calorimeter utilizing SiPM sensors, to validate its performance and energy resolution capabilities for the NA64 experiment's search for light dark matter.
This paper demonstrates that a non-destructive external fiber monitor using Ce-doped silica scintillating fibers can effectively detect secondary radiation from an 18 MeV medical cyclotron beamline to provide linear intensity monitoring, beam-loss tracking, and decoupled spatial displacement measurements across various operational scenarios.
This paper presents two complementary machine learning strategies for the CYGNO dark matter experiment: an unsupervised convolutional autoencoder that efficiently reduces data volume by isolating signal regions from noise, and a weakly supervised Classification Without Labels (CWoLa) framework that successfully identifies nuclear-recoil-like topologies without requiring event-level labels.
This paper presents a machine learning-driven inverse-design framework that systematically optimizes the boundary shapes of three-dimensional microwave cavities to maximize electromagnetic helicity, identifying robust, high-performance geometries that surpass traditional heuristic design methods.