556 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 LHCb experiment has successfully implemented a fast, GPU-accelerated Kalman filter using analytical parameterizations to perform full track fitting at the 30 MHz collision rate, achieving a two-fold improvement in invariant mass resolution and significantly enhanced background rejection with only a 2% increase in processing time.
This study establishes a complete physical analysis framework to quantitatively evaluate the intrinsic spatial position resolution of p-type point-contact germanium detectors and demonstrates its application in tracing real environmental backgrounds for future large-scale rare-event experiments.
This paper evaluates various hadronic energy reconstruction methods for the SDHCAL within the ILD detector using the APRIL Particle Flow Algorithm, finding that split and polynomial regression techniques offer the best balance of linearity and resolution while highlighting the potential of integrating precise timing information to further reduce PFA confusion.
This paper demonstrates the production of room-temperature beams of metastable titanium atoms via laser ablation into various buffer gases, highlighting their remarkable resilience to quenching during thousands of collisions and providing quantitative data on yield, quenching rates, and beam characteristics to optimize ablation cell design.
This paper outlines the Virgo interferometer's calibration procedures for the O4b run, detailing how intercalibrated Photon Calibrators achieved 0.48% mirror displacement precision and how a new frequency-dependent method enabled online unbiasing of the h(t) strain signal to reach 2% modulus and 30 mrad phase accuracy across the 10 Hz to 2 kHz band.
This study demonstrates that transformer-based machine learning architectures significantly outperform traditional centroid methods in reconstructing subpixel particle trajectories and angular resolution within discretized scintillator detectors, achieving a 2.22-fold improvement in angular accuracy and a 6.33-fold improvement in position precision.
This study comprehensively characterizes the surface and bulk radiation effects, including leakage currents, depletion voltage, and thermal annealing behavior, in ATLAS18 silicon sensors irradiated with gamma rays across a wide dose range from low operational levels to ultra-high doses to ensure their reliability for the ATLAS Inner Tracker at the HL-LHC.
This paper introduces a novel class of sail-like trampoline resonators optimized via Bayesian optimization that achieve centimeter-scale dimensions with kilohertz frequencies and high quality factors, enabling a monolithic optomechanical accelerometer capable of resolving micro-gravity ambient vibrations at room temperature.
This paper presents the design, fabrication, and performance evaluation of a full-scale muon scattering tomography system utilizing four layers of high-precision plastic-scintillator detectors to enable non-destructive imaging of high-Z materials for security and nuclear monitoring applications.
This paper proposes a data-driven method using convolutional variational autoencoders to identify signal pulses in noisy time-series by mapping waveforms to a compressed latent space, where regions corresponding to pure noise are isolated to effectively tag candidate signals for low-energy nuclear recoil detection in Liquid Argon Time Projection Chambers.