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The DarkSHINE experiment aims to search for dark photons by measuring the energy loss of the electrons recoiled from fixed-target. Its electromagnetic calorimeter is primarily responsible for accurately reconstructing the energy of the…

Instrumentation and Detectors · Physics 2024-07-31 Yihan Guo , Shu Li , Kun Liu , Yang Liu , Yongqi Tan , Jiannan Tang , Weihao Wu , Haijun Yang , Zhiyu Zhao , Wei Zhi , Zhizhen Zhou

In practice, images can contain different amounts of noise for different color channels, which is not acknowledged by existing super-resolution approaches. In this paper, we propose to super-resolve noisy color images by considering the…

Computer Vision and Pattern Recognition · Computer Science 2021-12-15 Srimanta Mandal , Kuldeep Purohit , A. N. Rajagopalan

Different tasks in the computational pipeline of single-particle cryo-electron microscopy (cryo-EM) require enhancing the quality of the highly noisy raw images. To this end, we develop an efficient algorithm for signal enhancement of…

Image and Video Processing · Electrical Eng. & Systems 2022-12-06 Guy Sharon , Yoel Shkolnisky , Tamir Bendory

Compressed sensing (CS) is a powerful method routinely employed to accelerate image acquisition. It is particularly suited to situations when the image under consideration is sparse but can be sampled in a basis where it is non-sparse. Here…

Image and Video Processing · Electrical Eng. & Systems 2022-07-18 Xudong Lv , Ashok Ajoy

We present a Ge-on_Si CMOS image sensor with backside illumination for the near-infrared electromagnetic waves, wavelengths range 300-1700nm, detection essential for optical sensor technology. The micro-holes help to enhance the optical…

The world's leading directional dark matter experiments currently all utilize low-pressure gas Time Projection Chamber (TPC) technologies. We discuss some of the challenges for this technology, for which balancing the goal of achieving the…

Instrumentation and Detectors · Physics 2024-07-19 N. S. Phan , R. J. Lauer , E. R. Lee , D. Loomba , J. A. J. Matthews , E. H. Miller

This paper summarizes the introductory presentation for a workshop that explored the challenges of making precision astronomical measurements using deeply depleted (thick) CCDs. While thick CCDs provide definite advantages in terms of…

Instrumentation and Methods for Astrophysics · Physics 2015-06-18 Christopher W. Stubbs

The availability of inexpensive devices allows nowadays to implement cognitive radio functionalities in large-scale networks such as the internet-of-things and future mobile cellular systems. In this paper, we focus on wideband spectrum…

Signal Processing · Electrical Eng. & Systems 2019-08-01 Andrea Mariani , Andrea Giorgetti , Marco Chiani

We report our detailed investigation of high-resolution imaging using secondary electrons (SE) with a subnanometer probe in an aberration-corrected transmission electron microscope, Hitachi HD2700C. This instrument also allows us to acquire…

Materials Science · Physics 2010-08-31 H. Inada , D. Su , R. F. Egerton , M. Konno , L. Wu , J. Ciston , J. Wall , Y. Zhu

A full-wafer, 10,580 $\times$ 10,560 pixel (95 $\times$ 95 mm) CCD was designed and tested at Semiconductor Technology Associates (STA) with 9 um square pixels and 16 outputs. The chip was successfully fabricated in 2006 at DALSA and some…

In this paper we illustrate techniques for digitized waveform signal processing of fast timing detectors. In the example discussed here, timing analysis of SiPM signals in the presence of high Dark Count Rates, a large data set of digitized…

Instrumentation and Detectors · Physics 2020-06-24 Sebastian White , Arjan Heering

Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The property of DM for eliminating noise leads us to wonder whether DM can be…

Information Theory · Computer Science 2023-09-19 Tong Wu , Zhiyong Chen , Dazhi He , Liang Qian , Yin Xu , Meixia Tao , Wenjun Zhang

Low-light photography produces images with low signal-to-noise ratios due to limited photons. In such conditions, common approximations like the Gaussian noise model fall short, and many denoising techniques fail to remove noise…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Liying Lu , Raphaël Achddou , Sabine Süsstrunk

A growing need exists for efficient and accurate methods for detecting defects in semiconductor materials and devices. These defects can have a detrimental impact on the efficiency of the manufacturing process, because they cause critical…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Thibault Lechien , Enrique Dehaerne , Bappaditya Dey , Victor Blanco , Sandip Halder , Stefan De Gendt , Wannes Meert

Accurate readout of low-power optical higher-order spatial modes is of increasing importance to the precision metrology community. Mode sensors are used to prevent mode mismatches from degrading quantum and thermal noise mitigation…

Instrumentation and Detectors · Physics 2020-04-09 A. W. Jones , M. Wang , C. M. Mow-Lowry , A. Freise

X-ray hybrid CMOS detectors (HCDs) are a promising candidate for future x-ray missions requiring high throughput and fine angular resolution along with large field-of-view, such as the high-definition x-ray imager (HDXI) instrument on the…

Instrumentation and Methods for Astrophysics · Physics 2019-06-24 Samuel V. Hull , Abraham D. Falcone , Evan Bray , Mitchell Wages , Maria McQuaide , David N. Burrows

In analogy with optical near-field scanning methods, we use tapered dielectric waveguides as probes for a millimeter wave vector network analyzer. By scanning thin samples between two such probes we are able to map the spatially varying…

Soft Condensed Matter · Physics 2009-11-13 Nathan S. Greeney , John A. Scales

Using a 1GW-1ps pump laser pulse in high gain parametric down-conversion allows us to detect sub-shot-noise spatial quantum correlation with up to one hundred photoelectrons per mode, by means of a high efficiency CCD. The statistics is…

Quantum Physics · Physics 2009-11-10 O. Jedrkiewicz , Y. -K. Jiang , E. Brambilla , A. Gatti , M. Bache , L. A. Lugiato , P. di Trapani

Noise is always presents in digital images during image acquisition, coding, transmission, and processing steps. Noise is very difficult to remove it from the digital images without the prior knowledge of noise model. That is why, review of…

Computer Vision and Pattern Recognition · Computer Science 2015-05-14 Ajay Kumar Boyat , Brijendra Kumar Joshi

Denoising is a fundamental challenge in scientific imaging. Deep convolutional neural networks (CNNs) provide the current state of the art in denoising natural images, where they produce impressive results. However, their potential has…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Sreyas Mohan , Ramon Manzorro , Joshua L. Vincent , Binh Tang , Dev Yashpal Sheth , Eero P. Simoncelli , David S. Matteson , Peter A. Crozier , Carlos Fernandez-Granda