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相关论文: Real-Time Analysis of Large Astronomical Images

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The Dark Energy Survey (DES; operations 2009-2015) will address the nature of dark energy using four independent and complementary techniques: (1) a galaxy cluster survey over 4000 deg2 in collaboration with the South Pole Telescope…

天体物理学 · 物理学 2007-05-23 C. Ngeow , J. J. Mohr , T. Alam , W. A. Barkhouse , C. Beldica , D. Cai , G. Daues , R. Plante , J. Annis , H. Lin , D. Tucker , R. C. Smith

The Dark Energy Survey (DES) is a project with the goal of building, installing and exploiting a new 74 CCD-camera at the Blanco telescope, in order to study the nature of cosmic acceleration. It will cover 5000 square degrees of the…

The Dark Energy Survey (DES) is a 5000 deg2 grizY survey reaching characteristic photometric depths of 24th magnitude (10 sigma) and enabling accurate photometry and morphology of objects ten times fainter than in SDSS. Preparations for DES…

As the size of images and data products derived from astronomical data continues to increase, new tools are needed to visualize and interact with that data in a meaningful way. Motivated by our own astronomical images taken with the Dark…

天体物理仪器与方法 · 物理学 2015-11-19 Fred Moolekamp , Eric Mamajek

Electronically Assisted Astronomy consists in capturing deep sky images with a digital camera coupled to a telescope to display views of celestial objects that would have been invisible through direct observation. This practice generates a…

天体物理仪器与方法 · 物理学 2023-11-20 Olivier Parisot , Pierrick Bruneau , Patrik Hitzelberger

During more than 17 years of operation in space INTEGRAL telescope has accumulated large data set that contains records of hard X-ray and soft gamma-ray astronomical sources. These data can be re-used in the context of multi-wavelength or…

天体物理仪器与方法 · 物理学 2021-07-28 A. Neronov , V. Savchenko , A. Tramacere , M. Meharga , C. Ferrigno , S. Paltani

Cameras in modern devices such as smartphones, satellites and medical equipment are capable of capturing very high resolution images and videos. Such high-resolution data often need to be processed by deep learning models for cancer…

计算机视觉与模式识别 · 计算机科学 2022-12-07 Arian Bakhtiarnia , Qi Zhang , Alexandros Iosifidis

We describe the Dark Energy Survey (DES), a proposed optical-near infrared survey of 5000 sq. deg of the South Galactic Cap to ~24th magnitude in SDSS griz, that would use a new 3 sq. deg CCD camera to be mounted on the Blanco 4-m telescope…

天体物理学 · 物理学 2012-08-27 The Dark Energy Survey Collaboration

The Dark Energy Survey collaboration will study cosmic acceleration with a 5000 deg2 griZY survey in the southern sky over 525 nights from 2011-2016. The DES data management (DESDM) system will be used to process and archive these data and…

With the growing amount of astronomical data, there is an increasing need for automated data processing pipelines, which can extract scientific information from observation data without human interventions. A critical aspect of these…

天体物理仪器与方法 · 物理学 2024-05-07 Peng Jia , Yu Song , Jiameng Lv , Runyu Ning

Visualizing and navigating through large astronomy images from a remote location with current astronomy display tools can be a frustrating experience in terms of speed and ergonomics, especially on mobile devices. In this paper, we present…

天体物理仪器与方法 · 物理学 2015-02-06 Emmanuel Bertin , Ruven Pillay , Chiara Marmo

Modern imaging instruments can produce terabytes to petabytes of data for a single experiment. The biggest barrier to processing big image datasets has been computational, where image analysis algorithms often lack the efficiency needed to…

计算机视觉与模式识别 · 计算机科学 2026-03-13 Nicholas Schaub , Andriy Kharchenko , Hamdah Abbasi , Sameeul Samee , Hythem Sidky , Nathan Hotaling

We describe the creation, content, and validation of the Dark Energy Survey (DES) internal year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses. The Y1A1 GOLD data set is assembled from multiple epochs of DES…

Modern research in the life sciences is unthinkable without computational methods for extracting, quantifying and visualizing information derived from biological microscopy imaging data. In the past decade, we observed a dramatic increase…

We discuss the ground-breaking science that will be possible with a wide area survey, using the MeerKAT telescope, known as MeerKLASS (MeerKAT Large Area Synoptic Survey). The current specifications of MeerKAT make it a great fit for…

We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single epoch images, coadded images, coadded source catalogs, and associated products and services assembled over the first three years of…

天体物理仪器与方法 · 物理学 2019-04-24 T. M. C. Abbott , F. B. Abdalla , S. Allam , A. Amara , J. Annis , J. Asorey , S. Avila , O. Ballester , M. Banerji , W. Barkhouse , L. Baruah , M. Baumer , K. Bechtol , M . R. Becker , A. Benoit-Lévy , G. M. Bernstein , E. Bertin , J. Blazek , S. Bocquet , D. Brooks , D. Brout , E. Buckley-Geer , D. L. Burke , V. Busti , R. Campisano , L. Cardiel-Sas , A. C arnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , R. Cawthon , C. Chang , X. Chen , C. Conselice , G. Costa , M. Crocce , C. E. Cunha , C. B. D'Andrea , L. N. da Costa , R. Das , G. Daues , T. M. Davis , C. Davis , J. De Vicente , D. L. DePoy , J. DeRose , S. Desai , H. T. Diehl , J. P. Dietrich , S. Dodelson , P. Doel , A. Drlica-Wagner , T. F. Eifler , A. E. Elliott , A. E. Evrard , A. Farahi , A. Fausti Neto , E. Fernandez , D. A. Finley , M. Fitzpatrick , B. Flaugher , R. J. Foley , P. Fosalba , D. N. Friedel , J. Frieman , J. García-Bellido , E. Gaz tanaga , D. W. Gerdes , T. Giannantonio , M. S. S. Gill , K. Glazebrook , D. A. Goldstein , M. Gower , D. Gruen , R. A. Gruendl , J. Gschwend , R. R. Gupta , G. Gutierrez , S. Hamilton , W. G. Hartley , S. R. Hinton , J. M. Hislop , D. Hollowood , K. Honscheid , B. Hoyle , D. Huterer , B. Jain , D. J. James , T. Jeltema , M. W. G. Johnson , M. D. Johnson , S. Juneau , T. Kacprzak , S. Kent , G. Khullar , M. Klein , A. Kovacs , A. M. G. Koziol , E. Krause , A. Kremin , R. Kron , K. Kuehn , S. Kuhlmann , N. Kuropatkin , O. Lahav , J. Lasker , T. S. Li , R. T. Li , A. R. Liddle , M. Lima , H. Lin , P. López-Reyes , N. MacCrann , M. A. G. Maia , J. D. Maloney , M. Manera , M. March , J. Marriner , J. L. Marshall , P. Martini , T. McClintock , T. McKay , R . G. McMahon , P. Melchior , F. Menanteau , C. J. Miller , R. Miquel , J. J. Mohr , E. Morganson , J. Mould , E. Neilsen , R. C. Nichol , D. Nidever , R. Nikutta , F. Nogueira , B. Nord , P. Nugent , L. Nunes , R. L. C. Ogando , L. Old , K. Olsen , A. B. Pace , A. Palmese , F. Paz-Chinchón , H. V. Peiris , W. J. Percival , D. Petravick , A. A. Plazas , J. Poh , C. Pond , A. Por redon , A. Pujol , A. Refregier , K. Reil , P. M. Ricker , R. P. Rollins , A. K. Romer , A. Roodman , P. Rooney , A. J. Ross , E. S. Rykoff , M. Sako , E. Sanchez , M. L. Sanchez , B. Santiago , A. Saro , V. Scarpine , D. Scolnic , A. Scott , S. Serrano , I. Sevilla-Noarbe , E. Sheldon , N. Shipp , M. L. Silveira , R. C. Smith , J. A. Smith , M. Smith , M. Soares-Santos , F. Sobre ira , J. Song , A. Stebbins , E. Suchyta , M. Sullivan , M. E. C. Swanson , G. Tarle , J. Thaler , D. Thomas , R. C. Thomas , M. A. Troxel , D. L. Tucker , V. Vikram , A. K. Vivas , A. R. Wal ker , R. H. Wechsler , J. Weller , W. Wester , R. C. Wolf , H. Wu , B. Yanny , A. Zenteno , Y. Zhang , J. Zuntz

This study presents OpenExtract, an open-source pipeline for automated data extraction in large-scale systematic literature reviews. The pipeline queries large language models (LLMs) to predict data entries based on relevant sections of…

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