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Superconducting nanowire single-photon detectors are central to applications across quantum information science. Yet, their performance is limited by the effects of disorder and electrodynamic inhomogeneities that are not well understood.…

LiDAR point cloud registration is fundamental to robotic perception and navigation. In geometrically degenerate environments (e.g., corridors), registration becomes ill-conditioned: certain motion directions are weakly constrained, causing…

Robotics · Computer Science 2026-04-01 Xiangcheng Hu , Xieyuanli Chen , Mingkai Jia , Jin Wu , Ping Tan , Steven L. Waslander

In this paper we propose a solution to the problem of parameter estimation of nonlinearly parameterized regressions--continuous or discrete time--and apply it for system identification and adaptive control. We restrict our attention to…

Optimization and Control · Mathematics 2019-10-18 Romeo Ortega , Vladislav Gromov , Emmanuel Nuño , Anton Pyrkin , Jose Guadalupe Romero

We have studied 14 southern infrared dark clouds (IRDCs) using the data taken from the Millimetre Astronomy Legacy Team 90 GHz (MALT90) survey and the GLIMPSE and MIPSGAL mid-infrared survey of the inner Galaxy. The physical and chemical…

Astrophysics of Galaxies · Physics 2015-06-12 Xiao-Lan Liu , Jun-Jie Wang , Jin-Long Xu

Silicon's bandgap inherently restricts its photodetection to wavelengths below 1100 nm, necessitating the integration of costly III-V semiconductors for short-wave infrared applications. Hyperdoping silicon beyond the solid solubility limit…

This study presents a weakly supervised method for identifying faults in infrared images of substation equipment. It utilizes the Faster RCNN model for equipment identification, enhancing detection accuracy through modifications to the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Anjali Sharma , Priya Banerjee , Nikhil Singh

In general, diffusion model-based MRI reconstruction methods incrementally remove artificially added noise while imposing data consistency to reconstruct the underlying images. However, real-world MRI acquisitions already contain inherent…

Image and Video Processing · Electrical Eng. & Systems 2025-01-24 Shoujin Huang , Guanxiong Luo , Xi Wang , Ziran Chen , Yuwan Wang , Huaishui Yang , Pheng-Ann Heng , Lingyan Zhang , Mengye Lyu

We report on the realization of a high sensitivity RF noise measurement scheme to study small current fluctuations of mesoscopic systems at milliKelvin temperatures. The setup relies on the combination of an interferometric ampli- fication…

Mesoscale and Nanoscale Physics · Physics 2011-03-07 François D. Parmentier , Adrien Mahé , Anne Denis , Jean-Marc Berroir , D. Christian Glattli , Bernard Plaçais , Gwendal Fève

Ground-based surveys such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time require photometric calibration that is both long-term stable and spatially uniform at the sub-per cent level, even during non-photometric…

We present the first derivation of a stellar flare temperature profile from single-band photometry. Stellar flare DWF030225.574-545707.45129 was detected in 2015 by the Dark Energy Camera as part of the Deeper, Wider, Faster Programme. The…

Solar and Stellar Astrophysics · Physics 2025-10-08 Riley Clarke , Federica Bianco , James R. A. Davenport , Jeffery Cooke , Sara Webb , Igor Andreoni , Tyler Pritchard , Aaron Roodman

We present a high sensitivity method allowing the measurement of the non linear dielectric susceptibility of an insulating material at finite frequency. It has been developped for the study of dynamic heterogeneities in supercooled liquids…

Materials Science · Physics 2009-11-17 C. Thibierge , D. L'Hote , F. Ladieu , R. Tourbot

High-energy physics detectors, like Low Gain Avalanche Detectors (LGADs) that will be used as fast timing detectors in the High Luminosity LHC experiments, have to exhibit a significant radiation tolerance. Thereby the impact of radiation…

Dynamic Line Rating (DLR) systems are crucial for renewable energy integration in transmission networks. However, traditional methods relying on sensor data face challenges due to the impracticality of installing sensors on every pole or…

Machine Learning · Computer Science 2024-05-22 Henri Manninen , Markus Lippus , Georg Rute

Accelerators produce too many signals for a small operations team to monitor in real time. In addition, many of these signals are only interpretable by subject matter experts with years of experience. As a result, changes in accelerator…

Accelerator Physics · Physics 2022-12-28 Ryan Humble , Finn H. O'Shea , William Colocho , Matt Gibbs , Helen Chaffee , Eric Darve , Daniel Ratner

In view of the high luminosity phase of the LHC (HL-LHC) to start operation around 2026, a major upgrade of the tracker system for the ATLAS experiment is in preparation. The expected neutron equivalent fluence of up to 2.4 * 1e16 1 MeV…

Instrumentation and Detectors · Physics 2018-02-14 Julien-Christopher Beyer , Alessandro La Rosa , Anna Macchiolo , Natascha Savic , Reem Taibah

III-V semiconductor type-II superlattices (T2SLs) are a promising material system with the potential to significantly reduce the dark current of, and thus realize high-performance in, infrared photodetectors at elevated temperatures.…

Optics · Physics 2022-03-11 L. Nordin , A. J. Muhowski , D. Wasserman

Identifying line-of-sight (LOS) and non-LOS (NLOS) channel conditions can improve the performance of many wireless applications, such as signal strength-based localization algorithms. For this purpose, channel state information (CSI)…

Networking and Internet Architecture · Computer Science 2017-12-12 Jeong-Sik Choi , Woong-Hee Lee , Jae-Hyun Lee , Jong-Ho Lee , Seong-Cheol Kim

We present the model of an ultrasensitive mid-infrared (mid-IR) photodetector operating in the mid-wavelength infrared (MWIR) and long-wavelength infrared (LWIR) domains consisting of a hybrid heterostructure made of nanopatterned graphene…

Mesoscale and Nanoscale Physics · Physics 2021-03-19 Muhammad Waqas Shabbir , Sayan Chandra , Michael N. Leuenberger

Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality. These linear methods may not be…

Atmospheric and Oceanic Physics · Physics 2009-01-06 Ian Ross

We report on efforts to improve the speed of low-G far-infrared transition-edged-sensed bolometers. We use a fabrication process that does not require any dry etch steps to reduce heat capacity on the suspended device and measure a…

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