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

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Future e$^+$e$^-$ colliders, thanks to their clean environment and triggerless operation, offer a unique opportunity to search for long-lived particles (LLPs). Considered in this contribution are promising prospects for LLP searches offered…

High Energy Physics - Experiment · Physics 2023-11-01 Jan Klamka

Spectroscopy and direct-imaging of ultra-faint targets such as Earth-like exoplanets and high redshift galaxies are among the primary goals of upcoming large scale astronomy projects like the Habitable World Observatory (HWO). Such…

Instrumentation and Methods for Astrophysics · Physics 2024-12-16 Guillaume Huber , Michael Bottom , Charles-Antoine Claveau , Shane Jacobson , Matthew Newland , Ian Baker , Keith Barnes , Matthew Hicks

Time series anomaly detection is a pivotal task in data analysis, yet it poses the challenge of discerning normal and abnormal patterns in label-deficient scenarios. While prior studies have largely employed reconstruction-based approaches,…

Machine Learning · Computer Science 2025-08-05 Zhijie Zhong , Zhiwen Yu , Yiyuan Yang , Weizheng Wang , Kaixiang Yang

A new gain implant design has recently been introduced to enhance the radiation resistance of low-gain avalanche diodes (LGADs) to the extreme fluences anticipated in future hadron colliders like FCC-hh. This design utilises an engineered…

In this paper, we consider the problem of iterative detection and decoding (IDD) for multi-antenna systems using low-density parity-check (LDPC) codes. The proposed IDD system consists of a soft-input soft-output parallel interference (PIC)…

Information Theory · Computer Science 2013-04-24 Jingjing Liu , Peng Li , Rodrigo C. de Lamare

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visual sensing incurs prohibitive…

Signal Processing · Electrical Eng. & Systems 2026-04-30 Wenqi Fan , Ning Wei , Ahmad Bazzi , Rongyan Xi , Zhixian Song , You Li , Zhihan Zeng , Yue Xiu , Chadi Assi

The performance of the ATLAS Inner Detector alignment has been studied using $pp$ collision data at $\sqrt{s} = 13$ TeV collected by the ATLAS experiment during Run 2 (2015 to 2018) of the Large Hadron Collider (LHC). The goal of the…

High Energy Physics - Experiment · Physics 2021-01-05 ATLAS Collaboration

The problem of low-tubal-rank tensor estimation is a fundamental task with wide applications across high-dimensional signal processing, machine learning, and image science. Traditional approaches tackle such a problem by performing tensor…

Machine Learning · Computer Science 2025-12-24 Zhiyu Liu , Zhi Han , Yandong Tang , Jun Fan , Yao Wang

The ATLAS experiment will undergo around the year 2025 a replacement of the tracker system in view of the high luminosity phase of the LHC (HL-LHC) with a new 5-layer pixel system. Thin planar pixel sensors are promising candidates to…

Instrumentation and Detectors · Physics 2017-02-01 Anna Macchiolo , Julien Beyer , Alessandro La Rosa , Richard Nisius , Natascha Savic

We present the concept of a new type of silicon tracking sensor called Enhanced Lateral Drift (ELAD) sensor. In ELAD sensors the spatial resolution of the impact position of ionising particles is improved by a dedicated charge sharing…

Instrumentation and Detectors · Physics 2019-05-22 Anastasiia Velyka , Hendrik Jansen

A new module concept for future ATLAS pixel detector upgrades is presented, where thin n-in-p silicon sensors are connected to the front-end chip exploiting the novel Solid Liquid Interdiffusion technique (SLID) and the signals are read out…

Instrumentation and Detectors · Physics 2011-12-26 P. Weigell , L. Andricek , M. Beimforde , A. Macchiolo , H. -G. Moser , R. Nisius , R. -H. Richter

Label Distribution Learning (LDL) is a novel machine learning paradigm that addresses the problem of label ambiguity and has found widespread applications. Obtaining complete label distributions in real-world scenarios is challenging, which…

Machine Learning · Computer Science 2024-10-18 Zhiqiang Kou , Haoyuan Xuan , Jing Wang , Yuheng Jia , Xin Geng

We propose a joint TDC and multi-time-gated imaging single-photon avalanche diode LiDAR sensor featuring a maximum detection range of 108m with a minimum depth resolution (least significant bit) of 2.93mm, fabricated in 110nm CMOS…

Optics · Physics 2026-03-23 Chang Liu , Edoardo Charbon

The International Large Detector, ILD, is a detector concept which has been developed for the electron-positron collider ILC. The detector has been optimized for precision physics in a range of energies between 90 GeV and 1 TeV. ILD…

Instrumentation and Detectors · Physics 2019-12-11 The ILD Collaboration , contact Ties Behnke

Multi-task learning (MTL) has emerged as a promising approach for deploying deep learning models in real-life applications. Recent studies have proposed optimization-based learning paradigms to establish task-shared representations in MTL.…

Machine Learning · Computer Science 2025-03-12 Zhipeng Zhou , Liu Liu , Peilin Zhao , Wei Gong

Muon Spin Rotation/Relaxation/Resonance ($\mu$SR) is a versatile and powerful non-destructive technology for investigating the magnetic properties of materials at the microscopic level. The $\mu$SR technique typically utilizes fully spin…

Precise, consistent, and reliable positioning is crucial for a multitude of uses. In order to achieve high precision global positioning services, multi-sensor fusion techniques, such as the Global Navigation Satellite System (GNSS)/Inertial…

Systems and Control · Electrical Eng. & Systems 2024-09-06 Bo Xu , Shoujian Zhang , Jingrong Wang , Jiancheng Li

The fast timing MPGD is a micro-pattern gaseous detector conceived for achieving sub-nanosecond time resolution while maintaining the ability to instrument large areas in high-rate environments; applications of such technology are…

Instrumentation and Detectors · Physics 2022-12-21 Antonello Pellecchia , Piet Verwilligen

We report on a gated single-photon detector based on InGaAs/InP avalanche photodiodes (APDs) with a single-photon detection efficiency exceeding 55% at 1550 nm. Our detector is gated at 1 GHz and employs the self-differencing technique for…

We show the developments carried out to improve the silicon sensor technology for the detection of soft X-rays with hybrid X-ray detectors. An optimization of the entrance window technology is required to improve the quantum efficiency. The…