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This paper introduces a stochastic simulator for seismic uncertainty quantification, which is crucial for performance-based earthquake engineering. The proposed simulator extends the recently developed dimensionality reduction-based…

Geophysics · Physics 2024-09-27 Jungho Kim , Ziqi Wang

Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool to reveal metabolic information. One challenge of 1H-MRS is the low Signal-Noise Ratio (SNR). To improve the SNR, a typical approach is to perform Signal Averaging (SA) with M…

In this paper, we consider a situation where a decision maker's (DM's) risk preference can be described by a spectral risk measure (SRM) but there is not a single SRM which can be used to represent the DM's preferences consistently.…

Optimization and Control · Mathematics 2023-01-06 Manlan Li , Xiaojiao Tong , Huifu Xu

In physics, it is sometimes desirable to compute the so-called \emph{Density Of States} (DOS), also known as the \emph{spectral density}, of a real symmetric matrix $A$. The spectral density can be viewed as a probability density…

Numerical Analysis · Mathematics 2014-10-07 Lin Lin , Yousef Saad , Chao Yang

Classical measures of structural reliability, such as the probability of failure and the related reliability index, are still widely applied in practice. However, these measures are frequency-based only, and they do not give information…

Methodology · Statistics 2025-08-19 Moussa Leblouba , Samer Barakat , Raghad Awad

Subspace identification methods (SIMs) are known for their simple parameterization for MIMO systems and robust numerical properties. However, a comprehensive statistical analysis of SIMs remains an open problem. Following a three-step…

Systems and Control · Electrical Eng. & Systems 2025-09-18 Jiabao He , Ingvar Ziemann , Cristian R. Rojas , S. Joe Qin , Håkan Hjalmarsson

Driven by a wide range of applications, many principal subspace estimation problems have been studied individually under different structural constraints. This paper presents a unified framework for the statistical analysis of a general…

Statistics Theory · Mathematics 2020-11-17 T. Tony Cai , Hongzhe Li , Rong Ma

Two-point super-resolution is an important problem in many signal processing applications. In this paper, we aim to establish a resolution theory for two-point super-resolution from a single snapshot. We consider a complex two-point model…

Signal Processing · Electrical Eng. & Systems 2026-05-07 Xiaole He , Ping Liu , Junling Wang

Surrogate Safety Measures (SSMs) are used to express road safety in terms of the safety risk in traffic conflicts. Typically, SSMs rely on assumptions regarding the future evolution of traffic participant trajectories to generate a measure…

Stress measurement methods using X-ray diffraction (XRD methods) are based on so-called fundamental equations. The fundamental equation is described in the coordinate system that best suites the measurement situation, and, thus, making a…

Materials Science · Physics 2015-08-10 Toshiyuki Miyazaki , Toshihiko Sasaki

Sign-Perturbed Sums (SPS) is a system identification method that constructs confidence regions for the unknown system parameters. In this paper, we study SPS for ARX systems, and establish that the confidence regions are guaranteed to…

Systems and Control · Electrical Eng. & Systems 2024-02-20 Algo Carè , Erik Weyer , Balázs Cs. Csáji , Marco C. Campi

Accurate SIMS measurement of nitrogen in niobium relies on the use of closely equivalent standards, made by ion implantation, to convert nitrogen signal intensity to nitrogen content by determination of relative sensitivity factors (RSF).…

Accelerator Physics · Physics 2024-06-19 Jonathan Angle , Ari Palczewski , Charles E. Reece , Fred A. Stevies , Michael J. Kelley

We study two spiked models of random matrices under general frameworks corresponding respectively to additive deformation of random symmetric matrices and multiplicative perturbation of random covariance matrices. In both cases, the…

Probability · Mathematics 2020-10-14 Nathan Noiry

Cherry tomato (Solanum Lycopersicum) is popular with consumers over the world due to its special flavor. Soluble solids content (SSC) and firmness are two key metrics for evaluating the product qualities. In this work, we develop…

Computer Vision and Pattern Recognition · Computer Science 2022-03-11 Yun Xiang , Qijun Chen , Zhongjin Su , Lu Zhang , Zuohui Chen , Guozhi Zhou , Zhuping Yao , Qi Xuan , Yuan Cheng

Here we describe the implementation and calibration of a streaked visible spectrometer (SVS) for optical pyrometry and emission/absorption spectroscopy on light gas gun platforms in the UC Davis Shock Compression Laboratory. The diagnostic…

Instrumentation and Detectors · Physics 2020-12-02 Erik J. Davies , Dylan K. Spaulding , Sarah T. Stewart

We compare the results for a set of hydrodynamical tests performed with the AMR finite volume code, MG and the SPH code, SEREN. The test suite includes shock tube tests, with and without cooling, the non-linear thin-shell instability and…

Instrumentation and Methods for Astrophysics · Physics 2015-06-15 D. A. Hubber , S. A. E. G. Falle , S. P. Goodwin

The measurement of gamma-rays from decaying nuclei allow for the investigation into nuclear structure. True coincidence summing occurs when two gamma-rays from a single decay get detected in a single detector and their energies sum together…

Instrumentation and Detectors · Physics 2026-02-16 Liam Schmidt

Radiative symmetry breaking (RSB) is a theoretically appealing framework for the generation of mass scales through quantum effects. It can be successfully implemented in models with extended scalar and gauge sectors. We provide a systematic…

High Energy Physics - Phenomenology · Physics 2018-08-23 Leonardo Chataignier , Tomislav Prokopec , Michael G. Schmidt , Bogumila Swiezewska

The goal of this work is to develop a new universal high order subroutine for shock boundary layer interaction. First, an effective shock/discontinuity detector has been developed.The detector has two steps.The first step is to check the…

Computational Physics · Physics 2014-02-25 M. Oliveria , P. Lu , X. Liu , C. Liu

The soft SVD is a robust matrix decomposition algorithm and a key component of matrix completion methods. However, computing the soft SVD for large sparse matrices is often impractical using conventional numerical methods for the SVD due to…

Numerical Analysis · Mathematics 2021-04-06 Mahendra Panagoda , Tyrus Berry , Harbir Antil