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Recently, multidimensional signal reconstruction using a low number of measurements is of great interest. Therefore, an effective sampling scheme which should acquire the most information of signal using a low number of measurements is…

Multimedia · Computer Science 2017-01-03 Seyed Hamid Safavi , Farah Torkamani-Azar

We present first results on the topological reconstruction of open charm mesons in p+p collisions at $\snn$ = 200 GeV using electron tagging. The analysis makes use of the full acceptance of the STAR electromagnetic calorimeter during Run…

Nuclear Experiment · Physics 2007-05-23 Andre Mischke

To recover simultaneous multiple failures in erasure coded storage systems, Patrick Lee et al introduce concurrent repair based minimal storage regenerating codes to reduce repair traffic. The architecture of this approach is simpler and…

Information Theory · Computer Science 2016-04-25 Huayu Zhang , Hui Li , Hanxu Hou , K. W. Shum , ShuoYen Robert Li

Existing convex relaxation-based approaches to reconstruction in compressed sensing assume that noise in the measurements is independent of the signal of interest. We consider the case of noise being linearly correlated with the signal and…

Information Theory · Computer Science 2014-01-03 Thomas Arildsen , Torben Larsen

We present the study of a fuzzy clustering algorithm for the Belle II electromagnetic calorimeter using Graph Neural Networks. We use a realistic detector simulation including simulated beam backgrounds and focus on the reconstruction of…

This short note considerably simplifies a reconstruction method by the author (Comm. PDE, 45(9):1118--1133, 2020), for reconstructing piecewise constant layered conductivities (PCLC) from partial boundary measurements in electrical…

Analysis of PDEs · Mathematics 2022-08-24 Henrik Garde

A charge conserving approximation scheme determining the excitations of crystalline solids is proposed. Like other such approximations, it relies on "downfolding" of the original microscopic model to a simpler electronic model on the…

Strongly Correlated Electrons · Physics 2018-10-24 Baruch Rosenstein , Dingping Li

Carbon nanotube (CNTs) networks embedded in polymer matrix have been extensively studied over the recent years as a flexible thermoelectric (TE) transport medium. However, their power factor has been largely limited by the relatively…

Single particle cryo-electron microscopy is a vital tool for 3D characterization of protein structures. A typical workflow involves acquiring projection images of a collection of randomly oriented particles, picking and classifying…

Image and Video Processing · Electrical Eng. & Systems 2021-03-22 S. V. Venkatakrishnan , Puneet Juneja , Hugh O'Neill

Orthogonal-strip planar high-purity germanium (HPGe) detectors can reconstruct three-dimensional (3D) positions of photon interactions through analysis of parameters extracted from multiple charge signals. The conventional method…

Instrumentation and Detectors · Physics 2025-07-25 Qiuli Zhang , Peng Zhang , Wenhhan Dai , Mingxin Yang , Yang Tian , Ming Zeng , Hao Ma , Zhi Zeng

Objective: A novel structure based on channel-wise attention mechanism is presented in this paper. Embedding with the proposed structure, an efficient classification model that accepts multi-lead electrocardiogram (ECG) as input is…

Signal Processing · Electrical Eng. & Systems 2020-03-27 Hao Tung , Chao Zheng , Xinsheng Mao , Dahong Qian

The incorporation of carbon nanotubes (CNTs) within polymer hosts offers a great platform for the development of advanced thermoelectric (TE) composite materials. Over the years, several CNT/polymer composite formulations have been…

Structured deep model compression methods are hardware-friendly and substantially reduce memory and inference costs. However, under aggressive compression, the resulting accuracy degradation often necessitates post-compression finetuning,…

Machine Learning · Computer Science 2026-03-03 Wenwu Tang , Dong Wang , Lothar Thiele , Olga Saukh

A method is presented to precisely reconstruct charge spectra with pixel detectors using binary hit information of individual pixels. The method is independent of the charge information provided by the readout circuitry and has a resolution…

Instrumentation and Detectors · Physics 2017-02-17 David-Leon Pohl , Jens Janssen , Tomasz Hemperek , Fabian Hügging , Norbert Wermes

Computed Tomography (CT) plays an essential role in clinical diagnosis. Due to the adverse effects of radiation on patients, the radiation dose is expected to be reduced as low as possible. Sparse sampling is an effective way, but it will…

Image and Video Processing · Electrical Eng. & Systems 2022-02-22 Chang Sun , Ken Deng , Yitong Liu , Hongwen Yang

Cadmium zinc telluride (CdZnTe, CZT) radiation detectors are suitable for a variety of applications, due to their high spatial resolution and spectroscopic energy performance at room temperature. However, state-of-the-art detector systems…

Instrumentation and Detectors · Physics 2016-10-13 P. Födisch , M. Berthel , B. Lange , T. Kirschke , W. Enghardt , P. Kaever

The CYGNO experiment employs an optical-readout Time Projection Chamber (TPC) to search for rare low-energy interactions using finely resolved scintillation images. While the optical readout provides rich topological information, it…

This report summarizes work done during PhD rotation that proposes an algorithm that uses anode- cathode trigger time difference and cathode to anode pulse height ratio to resolve photon event positioning degeneracy in a novel Cadmium Zinc…

Medical Physics · Physics 2018-04-16 Paurakh L. Rajbhandary , Yi Gu , Craig S. Levin

The Dark Matter Particle Explorer (DAMPE) is a space-based Cosmic-Ray (CR) observatory with the aim, among others, to study Cosmic-Ray Electrons (CREs) up to 10 TeV. Due to the low CRE rate at multi-TeV energies, we aim to increasing the…

Instrumentation and Methods for Astrophysics · Physics 2025-09-25 Enzo Putti-Garcia , Andrii Tykhonov , Andrii Kotenko , Hugo Boutin , Manbing Li , Paul Coppin , Andrea Serpolla , Jennifer Maria Frieden , Chiara Perrina , Xin Wu

The projected gradient descent (PGD) method has shown to be effective in recovering compressed signals described in a data-driven way by a generative model, i.e., a generator which has learned the data distribution. Further reconstruction…

Machine Learning · Computer Science 2021-09-03 Muhammad Fadli Damara , Gregor Kornhardt , Peter Jung