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 Ion Count-Aided Microscopy (ICAM), a quantitative imaging technique that statistically estimates secondary electron yield to substantially reduce shot noise and enable high-quality, low-dose imaging of fragile nanoscale samples.
This paper introduces a novel methodology for analyzing neutron and x-ray scattering event data that bypasses traditional histogramming and least-squares fitting to achieve significantly higher accuracy and efficiency while reducing systematic errors, despite requiring increased computation time and offering a less intuitive approach.
This paper demonstrates that a nonlinear curvature wavefront sensor can effectively sense and correct image jitter in closed-loop systems using its embedded tip/tilt information and fast centroiding algorithms, thereby eliminating the need for peripheral components while improving the stability and quality of multi-plane phase retrieval reconstructions.
This paper details the production of the radioactive isotope Ar via thermal neutron irradiation of Ar and validates its effectiveness as a precise, low-energy calibration source for liquid xenon time projection chambers used in dark matter experiments.
This paper presents the design, test results, and Monte-Carlo simulations of a new heavy-ion detector utilizing a 10-picosecond resolution RF Timer to achieve precise background suppression and separation of prompt and delayed events for direct measurements of heavy hypernuclei lifetimes.
This paper introduces a high-throughput, parasitic-independent probe thermal resistance calibration technique for Scanning Thermal Microscopy that enables robust, sub-100 nm spatial mapping of thermal properties in nanostructured films, successfully quantifying a significant reduction in the thermal conductivity of ultra-thin aluminum films compared to bulk values.
This paper presents the design, construction, and successful operation of a dual-phase xenon time projection chamber prototype for the RELICS experiment, demonstrating its ability to achieve the required sub-keV energy threshold and validating the core technologies and methodologies essential for the full-scale coherent elastic neutrino-nucleus scattering detector.
This paper presents a novel unsupervised deep learning method that utilizes a simplified physical model of optical photon transport to automatically extract photomultiplier tube calibration constants from radioactive background events in the large-scale SNO+ liquid scintillation detector.
This paper validates the chemical and mechanical robustness of the COSINE-100U NaI(Tl) encapsulation for low-temperature operation in liquid scintillator by demonstrating stable performance over approximately 150 days at -33°C following initial compatibility checks.
This white paper presents a community-driven vision to prioritize research and development in hardware-based machine learning systems—leveraging emerging technologies like AI, silicon microelectronics, and quantum processing—to address the unprecedented data challenges and enable real-time scientific discovery in the next generation of particle physics experiments.