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Related papers: Inverse Low Gain Avalanche Detectors (iLGADs) for …

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Efficient beam alignment is a crucial component in millimeter wave systems with analog beamforming, especially in fast-changing vehicular settings. This paper proposes a position-aided approach where the vehicle's position (e.g., available…

Information Theory · Computer Science 2017-09-19 Vutha Va , Junil Choi , Takayuki Shimizu , Gaurav Bansal , Robert W. Heath

A Large Area Avalanche Photodiode (LAAPD) was studied, aiming to access its performance as light detector at low temperatures, down to -80 C. The excess noise factor, F, was measured and found to be approximately independent of the…

Instrumentation and Detectors · Physics 2009-11-07 V. N. Solovov , F. Neves , V. Chepel , M. I. Lopes , R. F. Marques , A. J. P. L. Policarpo

We consider the noisy matrix sensing problem in the over-parameterization setting, where the estimated rank $r$ is larger than the true rank $r_\star$ of the target matrix $X_\star$. Specifically, our main objective is to recover a matrix $…

Machine Learning · Computer Science 2025-06-03 Zhiyu Liu , Zhi Han , Yandong Tang , Shaojie Tang , Yao Wang

The lowest-lying negative-parity state of the Lambda is investigated in (2+1)-flavour full-QCD on the PACS-CS configurations made available through the ILDG. We show that a variational analysis using multiple source and sink smearings can…

High Energy Physics - Lattice · Physics 2011-09-12 Benjamin J. Menadue , Waseem Kamleh , Derek B. Leinweber , M. S. Mahbub

We present the optimization and performance characterization of the second-generation Fermilab Constant Fraction Discriminator ASIC (FCFD), designed for the readout of AC-coupled low-gain avalanche detector (LGAD) strip-sensors. The FCFD is…

Instrumentation and Detectors · Physics 2025-12-24 Artur Apresyan , Shuoxing Wu , Si Xie , Cristián Peña , Tom Zimmerman , Sergey Los , Todd Zenger , Zhenyu Ye

Embedding parameterized optimization problems as layers into machine learning architectures serves as a powerful inductive bias. Training such architectures with stochastic gradient descent requires care, as degenerate derivatives of the…

Machine Learning · Computer Science 2024-12-16 Anselm Paulus , Georg Martius , Vít Musil

The response of Low Gain Avalanche Diodes (LGADs), a type of thin silicon detector with internal gain, to X-rays of energies between 6-16~keV was characterized at the Stanford Synchrotron Radiation Lightsource (SSRL). The utilized beamline…

Integrated technologies greatly enhance the prospects for practical quantum information processing and sensing devices based on trapped ions. High-speed and high-fidelity ion state readout is critical for any such application. Integrated…

In the past 10 years, two design innovations, the introduction of low internal gain (LGAD) and of resistive read-out (RSD), have radically changed the performance of silicon detectors. The LGAD mechanism, increasing the signal-to-noise…

Few-Shot Industrial Anomaly Detection (FS-IAD) has important applications in automating industrial quality inspection. Recently, some FS-IAD methods based on Large Vision-Language Models (LVLMs) have been proposed with some achievements…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Mengyang Zhao , Teng Fu , Haiyang Yu , Ke Niu , Bin Li

For legged robots to operate in complex terrains, they must be robust to the disturbances and uncertainties they encounter. This paper contributes to enhancing robustness through the design of fall detection/prediction algorithms that will…

Robotics · Computer Science 2023-10-10 M. Eva Mungai , Jessy Grizzle

Free-running InGaAs/InP single-photon detectors (SPDs) based on negative-feedback avalanche diodes (NFADs) are the key components for applications requiring asynchronous single-photon detection in the near-infrared region. From the…

Instrumentation and Detectors · Physics 2024-02-20 Qi Xu , Chao Yu , Wei Chen , Jianglin Zhao , Dajian Cui , Jun Zhang , Jian-Wei Pan

The Inner Tracking System (ITS) Upgrade for the ALICE experiment at LHC is the first large-area ($\sim$10~m$^2$) silicon vertex detector based on the CMOS Monolithic Active Pixel Sensor (MAPS) technology, which combines sensitive volume and…

Instrumentation and Detectors · Physics 2020-01-10 G. Contin

Advanced co-channel interference aware signal detection has drawn research attention during the recent development of Long Term Evolution-Advanced (LTE-A) systems and the interference-aware communications (IAC) is currently being studied by…

Information Theory · Computer Science 2013-10-04 Heunchul Lee , Taeyoon Kim , Wonwoo Park , Jonghan Lim

In this paper, we propose projected gradient descent (PGD) algorithms for signal estimation from noisy nonlinear measurements. We assume that the unknown $p$-dimensional signal lies near the range of an $L$-Lipschitz continuous generative…

Machine Learning · Statistics 2022-09-22 Zhaoqiang Liu , Jun Han

Low Gain Avalanche Diodes are prime candidates for high-resolution timing applications in High Energy Physics, Nuclear science, and several other fields. Operating these devices in high-radiation environments presents various hazards,…

High-resolution 3D tracking with sub-nanosecond timing is required for the detection of elementary particles, such as neutrinos. Conventional detectors, which utilize analog silicon photomultipliers, face challenges in balancing spatial…

Instrumentation and Detectors · Physics 2025-11-24 Kodai Kaneyasu , Till Dieminger , Matthew Franks , Davide Sgalaberna , Claudio Bruschini , Edoardo Charbon

Micro Pattern Gaseous Detectors (MPGDs) are used for tracking in High Energy Physics and Nuclear Physics because of their large area, excellent spatial resolution capabilities and low cost. However, for high energy charged particles…

With the ability of providing direct and accurate enough range measurements, light detection and ranging (LiDAR) is playing an essential role in localization and detection for autonomous vehicles. Since single LiDAR suffers from hardware…

Robotics · Computer Science 2022-01-14 Yusheng Wang , Yidong Lou , Weiwei Song , Huan Yu , Zhiyong Tu

Cryogenic Avalanche Detectors (CRADs) are referred to as a new class of noble-gas detectors operated at cryogenic temperatures with electron avalanching performed directly in the detection medium, the latter being in gaseous, liquid or…

Instrumentation and Detectors · Physics 2015-03-31 A. Buzulutskov
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