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相关论文: ATLAS: A High-Cadence All-Sky Survey System

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Known for their efficiency in analyzing large data sets, machine learning classifiers are widely used in wide-field sky surveys. The upcoming Vera C. Rubin Observatory Legacy of Time and Space Survey (LSST) will generate millions of alerts…

The Australian Square Kilometre Array Pathfinder (ASKAP) will give us an unprecedented opportunity to investigate the transient sky at radio wavelengths. In this paper we present VAST, an ASKAP survey for Variables and Slow Transients. VAST…

The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observation) includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready Earth Observation…

计算机视觉与模式识别 · 计算机科学 2022-01-24 Ivica Dimitrovski , Ivan Kitanovski , Panče Panov , Nikola Simidjievski , Dragi Kocev

Developing algorithms to search through data efficiently is a challenging part of searching for signs of technology beyond our solar system. We have built a digital signal processing system and computer cluster on the backend of the Karl G.…

In this contribution we present the FAST, which is a comprehensive software suite that aims to streamline and automatically manage the forecast of atmospheric and astroclimatic parameters (provided respectively by Meso-Nh and Astro-Meso-Nh…

天体物理仪器与方法 · 物理学 2024-12-09 A. Turchi , E. Masciadri , L. Fini

Eight years after the ADS first appeared the last decadal survey wrote: "NASA's initiative for the Astrophysics Data System has vastly increased the accessibility of the scientific literature for astronomers. NASA deserves credit for this…

天体物理仪器与方法 · 物理学 2009-03-19 Michael J. Kurtz , Alberto Accomazzi , Stephen S. Murray

In the last decades Near-Earth Objects (NEOs) have become very important targets to study, since they can give us clues to the formation, evolution and composition of the Solar System. In addition, they may represent either a threat to…

地球与行星天体物理 · 物理学 2014-09-24 S. Ieva , E. Dotto , D. Perna , M. A. Barucci , F. Bernardi , S. Fornasier , F. De Luise , E. Perozzi , A. Rossi , J. R. Brucato

We present an approach that significantly increases the sensitivity for finding and tracking small and fast near Earth asteroids (NEA's). This approach relies on a combined use of a new generation of high-speed cameras which allow short,…

天体物理仪器与方法 · 物理学 2014-08-20 Michael Shao , Bijan Nemati , Chengxing Zhai , Slava G. Turyshev , Jagmit Sandhu , Gregg W. Hallinan , Leon K. Harding

After the first successful LHC run in 2010-2012, plans are actively advancing for a series of upgrades leading eventually to about above times the design-luminosity in about ten years. The larger luminosity will allow to perform precise…

仪器与探测器 · 物理学 2014-09-18 C. Gemme

The Angstrom Project is undertaking an optical survey of stellar microlensing events across the bulge region of the Andromeda Galaxy (M31) using a distributed network of two-meter class telescopes. The Angstrom Project Alert System (APAS)…

We have entered the era of explosive transient astronomy, in which upcoming real-time surveys like the Large Synoptic Survey Telescope (LSST), the Palomar Transient Factory (PTF) and Panoramic Survey Telescope and Rapid Response System…

Machine learning algorithms are highly useful for the classification of time series data in astronomy in this era of peta-scale public survey data releases. These methods can facilitate the discovery of new unknown events in most…

天体物理仪器与方法 · 物理学 2018-09-10 J. B. Cabral , B. Sánchez , F. Ramos , S. Gurovich , P. Granitto , J. Vanderplas

The Catalina Real-time Transient Survey (CRTS) currently covers 33,000 deg^2 of the sky in search of transient astrophysical events, with time baselines ranging from 10 minutes to ~7 years. Data provided by the Catalina Sky Survey provides…

宇宙学与河外天体物理 · 物理学 2015-06-03 A. J. Drake , S. G. Djorgovski , A. Mahabal , J. L. Prieto , E. Beshore , M. J. Graham , M. Catalan , S. Larson , E. Christensen , C. Donalek , R. Williams

Large modern surveys require efficient review of data in order to find transient sources such as supernovae, and to distinguish such sources from artefacts and noise. Much effort has been put into the development of automatic algorithms,…

To search for optical counterparts to gravitational waves, it is crucial to develop an efficient follow-up method that allows for both a quick telescopic scan of the event localization region and search through the resulting image data for…

天体物理仪器与方法 · 物理学 2021-08-25 Katarzyna Wardęga , Adam Zadrożny , Martin Beroiz , Richard Camuccio , Mario C. Díaz

Events containing a pair of high energy hadronic jet can provide clear signatures in the search for new physics at high energy hadron colliders. The ATLAS and CMS experiments collected the data from LHC collisions at $\sqrt{s}$= 13 TeV…

高能物理 - 实验 · 物理学 2017-09-15 Matteo Bauce

Ultra Fast Astronomy is a new frontier becoming enabled by improved detector technology allowing discovery of optical transients on millisecond to nanosecond time scales. These may reveal counterparts of energetic processes such as fast…

天体物理仪器与方法 · 物理学 2021-11-08 Mikhail Denissenya , Eric V. Linder

ATLAS is a multipurpose experiment at the LHC. The tracking system of ATLAS, embedded in a 2 T solenoidal field, is composed of different technologies: silicon planar sensors (pixel and microstrips) and drift-tubes. The procedure used to…

仪器与探测器 · 物理学 2019-08-13 Ana Ovcharova

HERMES (High Energy Rapid Modular Ensemble of Satellites) pathfinder is an in-orbit demonstration consisting of a constellation of six 3U nano-satellites hosting simple but innovative detectors for the monitoring of cosmic high-energy…

高能天体物理现象 · 物理学 2023-09-06 Riccardo Crupi , Giuseppe Dilillo , Kester Ward , Elisabetta Bissaldi , Fabrizio Fiore , Andrea Vacchi

We are proposing a new spectrograph (ATLAS) which would revolutionise intermediate-dispersion observations at the AAT. Based on the new technology of Volume Phase Holographic gratings, and using transmission optics, ATLAS offers high…

天体物理学 · 物理学 2015-06-24 J. G. Robertson , K. Taylor , I. K. Baldry , P. R. Gillingham , S. C. Barden