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The future of radio astronomy will require instruments with large collecting areas for higher sensitivity, wide fields of view for faster survey speeds, and efficient computing and data rates relative to current capabilities. We describe…

Instrumentation and Methods for Astrophysics · Physics 2019-05-08 James Kent , Jayce Dowell , Adam Beardsley , Nithyanandan Thyagarjan , Greg Taylor , Judd Bowman

Modern radio telescopes are favouring densely packed array layouts with large numbers of antennas ($N_\textrm{A}\gtrsim 1000$). Since the complexity of traditional correlators scales as $\mathcal{O}(N_\textrm{A}^2)$, there will be a steep…

Instrumentation and Methods for Astrophysics · Physics 2017-01-20 Nithyanandan Thyagarajan , Adam P. Beardsley , Judd D. Bowman , Miguel F. Morales

We present the E-field Parallel Imaging Calibration (EPICal) algorithm, which addresses the need for a fast calibration method for direct imaging radio astronomy correlators. Direct imaging involves a spatial fast Fourier transform of…

Instrumentation and Methods for Astrophysics · Physics 2017-08-02 Adam P. Beardsley , Nithyanandan Thyagarajan , Judd D. Bowman , Miguel F. Morales

Linear transformations are cornerstone operations utilized in modern computing, but are computationally expensive on current electronic platforms. Optical computing has been positioned as a new computing solution, promising high speed and…

Optics · Physics 2025-12-29 Kevin Zelaya , Jonathan Friedman , Mohammad-Ali Miri

Radio telescopes that employ arrays of many antennas are in operation, and ever larger ones are being designed and proposed. Signals from the antennas are combined by cross-correlation. For $N$ antennas, the cost and power consumption of…

Instrumentation and Methods for Astrophysics · Physics 2016-04-19 Larry R. D'Addario , Douglas Wang

Intensity interferometry -- the correlation of spatially separated light intensities -- has historically been an important tool for precision optical astronomical observations. However, due to the extremely narrow field of view, its scope…

Instrumentation and Methods for Astrophysics · Physics 2023-07-10 Ken Van Tilburg , Masha Baryakhtar , Marios Galanis , Neal Weiner

A new generation of radio telescopes is achieving unprecedented levels of sensitivity and resolution, as well as increased agility and field-of-view, by employing high-performance digital signal processing hardware to phase and correlate…

Data center interconnects (DCIs) will have to support throughputs of 400 Gbps or more per wavelength in the near future. To achieve such high data rates, coherent modulation and detection is used, which conventionally requires high-speed…

Signal Processing · Electrical Eng. & Systems 2022-02-21 Shivangi Chugh , Rakesh Ashok , Punit Jain , Sana Naaz , Aboobackkar Sidhique , Shalabh Gupta

Massive multiple-input multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless networks. However, the use of very large antenna arrays brings new issues, such as the significantly…

Information Theory · Computer Science 2013-06-07 Yong Zeng , Rui Zhang , Zhi Ning Chen

International Large Detector (ILD) adopts Particle Flow Algorithm (PFA) for precise measurement of multiple jets. The electromagnetic calorimeter (ECAL) of ILD has two candidates sensor technologies for PFA, which are pixelized silicon…

One of the science drivers of the new Low Frequency Array (LOFAR) is large-area surveys of the low-frequency radio sky. Realizing this goal requires automated processing of the interferometric data, such that fully calibrated images are…

Artificial Intelligence is poised to transform the design of complex, large-scale detectors like the ePIC at the future Electron Ion Collider. Featuring a central detector with additional detecting systems in the far forward and far…

Instrumentation and Detectors · Physics 2024-05-29 M. Diefenthaler , C. Fanelli , L. O. Gerlach , W. Guan , T. Horn , A. Jentsch , M. Lin , K. Nagai , H. Nayak , C. Pecar , K. Suresh , A. Vossen , T. Wang , T. Wenaus

Photonic technologies have shown a promising way to build high-speed and high-energy-efficiency neural network accelerators. In previously presented photonic neural networks, architectures are mainly designed for fully-connected layers.…

Signal Processing · Electrical Eng. & Systems 2020-03-02 Shaofu Xu , Jing Wang , Weiwen Zou

Integrated optics are used to achieve astronomical interferometry inside robust and compact materials, improving the instrument's stability and sensitivity. In order to perform differential phase measurements at the H$\alpha$ line (656.3…

We develop in detail a recently proposed optical-path modification of astronomical intensity interferometers. Extended-Path Intensity Correlation (EPIC) introduces a tunable path extension, enabling differential astrometry of multiple…

Instrumentation and Methods for Astrophysics · Physics 2023-07-17 Marios Galanis , Ken Van Tilburg , Masha Baryakhtar , Neal Weiner

Entropy coding is widely used in typical learned image compression (LIC) that converts latents into a compact bitstream. However, entropy coding is typically sequential and becomes the coding latency bottleneck. To overcome it, we present…

Image and Video Processing · Electrical Eng. & Systems 2026-05-25 Hao Cao , Wenqi Guo , Zhijin Qin , Jungong Han

A radio interferometer indirectly measures the intensity distribution of the sky over the celestial sphere. Since measurements are made over an irregularly sampled Fourier plane, synthesising an intensity image from interferometric…

Instrumentation and Methods for Astrophysics · Physics 2014-03-18 Daniel Muscat

A "large-N" correlator that makes use of Field Programmable Gate Arrays and Graphics Processing Units has been deployed as the digital signal processing system for the Long Wavelength Array station at Owens Valley Radio Observatory…

In this paper, we show how we can combine Electromagnetics (EM) with signal processing algorithms to enhance the image resolution over that can be realized by using Electromagnetics techniques alone. We discuss several signal processing…

Optics · Physics 2013-05-14 Xiang Gu , Chiara Pelletti , Raj Mittra , Yunhua Zhang

The rapid advancement of neural network applications necessitates hardware that not only accelerates computation but also adapts efficiently to dynamic processing requirements. While processing-in-pixel has emerged as a promising solution…

Hardware Architecture · Computer Science 2024-08-21 Zihan Yin , Akhilesh Jaiswal
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