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The BaBar experiment at SLAC is in its fourth year of running. The data processing system has been continuously evolving to meet the challenges of higher luminosity running and the increasing bulk of data to re-process each year. To meet…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Teela Pulliam , Peter Elmer , Alvise Dorigo

The increasing adoption of low-cost environmental sensors and AI-enabled applications has accelerated the demand for scalable and resilient data infrastructures, particularly in data-scarce and resource-constrained regions. This paper…

Operational near-real-time monitoring of Earth's surface deformation using Interferometric Synthetic Aperture Radar (InSAR) requires processing algorithms that efficiently incorporate new acquisitions without reprocessing historical…

Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughput and performance. We propose a "data diffusion" approach…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Ioan Raicu , Yong Zhao , Ian Foster , Alex Szalay

The Low Frequency Instrument (LFI) is a radiometer array covering the 30-70 GHz spectral range on-board the ESA Planck satellite, launched on May 14th, 2009 to observe the cosmic microwave background (CMB) with unprecedented precision. In…

Function-as-a-Service (FaaS) is a type of serverless computing that allows developers to write and deploy code as individual functions, which can be triggered by specific events or requests. FaaS platforms automatically manage the…

Local geometric information, i.e. normal and distribution of points, is crucial for LiDAR-based simultaneous localization and mapping (SLAM) because it provides constraints for data association, which further determines the direction of…

Robotics · Computer Science 2023-10-12 Kai Huang , Junqiao Zhao , Zhongyang Zhu , Chen Ye , Tiantian Feng

Low power wide area network technologies (LPWANs) are attracting attention because they fulfill the need for long range low power communication for the Internet of Things. LoRa is one of the proprietary LPWAN physical layer (PHY)…

Information Theory · Computer Science 2019-02-21 Reza Ghanaatian , Orion Afisiadis , Matthieu Cotting , Andreas Burg

The ASTRI Mini-Array is an international collaboration led by the Italian National Institute for Astrophysics (INAF), aiming to construct and operate an array of nine Imaging Atmospheric Cherenkov Telescopes (IACTs) to study gamma-ray…

The very demanding requirements of the SKA-low instrument call for a challenging antenna design capable of delivering excellence performance in radiation patterns, impedance matching, polarization purity, cost, longevity, etc. This paper is…

Instrumentation and Methods for Astrophysics · Physics 2015-12-07 E. de Lera Acedo , N. Razavi-Ghods , N. Troop , N. Drought , A. J. Faulkner

Interstellar scattering is known to broaden distant objects spatially and temporally. The latter aspect is difficult to analyse, unless the signals carry their own time stamps. Pulsars are so kind to do us this favour. Typically the…

Astrophysics of Galaxies · Physics 2019-04-26 Olaf Wucknitz

Current radio interferometers output multi-petabyte-scale volumes of data per year making the storage, transfer, and processing of this data a sizeable challenge. This challenge is expected to grow with the next-generation telescopes such…

Cosmology and Nongalactic Astrophysics · Physics 2024-12-18 J. K. Chege , L. V. E. Koopmans , A. R. Offringa , B. K. Gehlot , S. A. Brackenhoff , E. Ceccotti , S. Ghosh , C. Höfer , F. G. Mertens , M. Mevius , S. Munshi

Multi-task learning is a widely used technique for harnessing information from various tasks. Recently, the sparse orthogonal factor regression (SOFAR) framework, based on the sparse singular value decomposition (SVD) within the coefficient…

Methodology · Statistics 2025-07-02 Zemin Zheng , Xin Zhou , Yingying Fan , Jinchi Lv

A technique is described that is used to improve the detection of radio-frequency interference in astronomical radio observatories. It is applied on a two-dimensional interference mask after regular detection in the time-frequency domain…

Instrumentation and Methods for Astrophysics · Physics 2012-03-01 A. R. Offringa , J. J. van de Gronde , J. B. T. M. Roerdink

In order to meet its cutting-edge scientific objectives, the Square Kilometre Array (SKA) telescope requires high-precision frequency references to be distributed to each of its antennas. The frequency references are distributed via…

Instrumentation and Methods for Astrophysics · Physics 2017-06-20 David Gozzard , Sascha Schediwy , Richard Dodson , Maria Rioja , Mike Hill , Brett Lennon , Jock McFee , Peter Mirtschin , Jamie Stevens , Keith Grainge

Long Range (LoRa) network is emerging as one of the most promising Low Power Wide Area (LPWA) networks, since it enables the energy-constraint devices distributed over wide areas to establish affordable connectivity. However, how to…

Networking and Internet Architecture · Computer Science 2019-07-24 Qihao Zhou , Kan Zheng , Lu Hou , Jinyu Xing , Rongtao Xu

The Low Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) is a sensitive, high-resolution 120-168 MHz survey split across multiple tiers over the northern sky. The first LoTSS Deep Fields data release consists of deep radio continuum…

Astronomical data are gathered through a very large number of heterogeneous techniques and stored in very diversified and often incompatible data repositories. Moreover in the e-science environment, it is needed to integrate services across…

In time-domain astronomy, STLF (Short-Timescale and Large Field-of-view) sky survey is the latest way of sky observation. Compared to traditional sky survey who can only find astronomical phenomena, STLF sky survey can even reveal how short…

Databases · Computer Science 2018-11-28 Chen Yang , Xiaofeng Meng , Zhihui Du , JiaMing Qiu , Kenan Liang , Yongjie Du , Zhiqiang Duan , Xiaobin Ma , Zhijian Fang
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