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 introduces the "Kink Finder," a specialized track-finding algorithm for the Belle II experiment that significantly outperforms standard methods by achieving a 40% reconstruction efficiency for in-flight particle decays and scattering, while also improving track parameter resolution and reducing misidentification rates.
This paper presents a compact and scalable traveling-wave parametric amplifier that integrates on-chip diplexers for pump routing, eliminating the need for lossy external components and reducing system complexity in superconducting circuit readout.
This paper reviews recent advancements in pattern recognition and data analysis for Ring Imaging Cherenkov (RICH) detectors, covering improvements in traditional reconstruction methods, the integration of modern machine learning, and emerging trends like global particle identification and generative models for simulation.
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 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 paper demonstrates that the optical extinction manifold of dielectric materials exhibits intrinsic sparsity best captured by the Discrete Cosine Transform rather than the FFT, enabling a compressed sensing architecture that achieves high-fidelity material reconstruction with a 51–94% reduction in hardware sensors by overcoming traditional Nyquist limits.
This paper presents the first in-beam demonstration that chemically hyperpolarized materials produced via the SABRE method serve as viable, radiation-resistant targets and detector media for nuclear and particle physics, offering a cost-effective alternative to traditional cryogenic spin-polarized targets without suffering depolarization under intense radiation.
This paper demonstrates that a portable, two-meter neutron Time of Flight system utilizing Neutron Resonance Transmission Analysis can successfully identify and quantify the isotopic composition of special nuclear materials like HEU and reactor-grade plutonium within two hours with high accuracy, offering a promising tool for future arms control verification.
This paper identifies spontaneous athermal phonon bursts originating from the bulk silicon substrate as the dominant source of low-energy background events and excess noise in superconducting sensors, demonstrating that these bursts scale linearly with substrate thickness and relax over time, thereby establishing a critical link to quasiparticle poisoning in superconducting qubits.