中文
相关论文

相关论文: Gaia data processing. SEAPipe: The source environm…

200 篇论文

We present the first Gaia catalogue of eclipsing binary candidates released in Gaia DR3, describe its content, provide tips for its usage, estimate its quality, and show illustrative samples. The catalogue contains 2,184,477 sources with G…

Context. As part of Gaia Data Release 3 (Gaia DR3), epoch photometry has been released for 1.2 million sources centred on M31. This is a taster for Gaia Data Release 4 where all the epoch photometry will be released. Aims. In this paper the…

We consider the problem of computing a lightest derivation of a global structure using a set of weighted rules. A large variety of inference problems in AI can be formulated in this framework. We generalize A* search and heuristics derived…

人工智能 · 计算机科学 2011-10-12 P. F. Felzenszwalb , D. McAllester

We present an overview of the Specific Objects Study (SOS) pipeline developed within the Coordination Unit 7 (CU7) of the Gaia Data Processing and Analysis Consortium (DPAC), the coordination unit charged with the processing and analysis of…

With the rapid innovation of GPUs, heterogeneous GPU clusters in both public clouds and on-premise data centers have become increasingly commonplace. In this paper, we demonstrate how pipeline parallelism, a technique wellstudied for…

分布式、并行与集群计算 · 计算机科学 2025-07-28 Z. Jonny Kong , Qiang Xu , Y. Charlie Hu

Automated source extraction and parameterization represents a crucial challenge for the next-generation radio interferometer surveys, such as those performed with the Square Kilometre Array (SKA) and its precursors. In this paper we present…

天体物理仪器与方法 · 物理学 2016-05-09 S. Riggi , A. Ingallinera , P. Leto , F. Cavallaro , F. Bufano , F. Schillirò , C. Trigilio , G. Umana , C. S. Buemi , R. P. Norris

We present a comparison between the performance of a selection of source finders using a new software tool called Hydra. The companion paper, Paper~I, introduced the Hydra tool and demonstrated its performance using simulated data. Here we…

The Australian Square Kilometre Array Pathfinder (ASKAP) presents a number of challenges in the area of source finding and cataloguing. The data rates and image sizes are very large, and require automated processing in a high-performance…

天体物理仪器与方法 · 物理学 2015-06-11 Matthew Whiting , Ben Humphreys

A fast-turnaround pipeline for realtime data reduction plays an essential role in discovering and permitting follow-up observations to young supernovae and fast-evolving transients in modern time-domain surveys. In this paper, we present…

天体物理仪器与方法 · 物理学 2016-10-05 Yi Cao , Peter E Nugent , Mansi M Kasliwal

This paper introduces CAAI, a novel cognitive architecture for artificial intelligence in cyber-physical production systems. The goal of the architecture is to reduce the implementation effort for the usage of artificial intelligence…

分布式、并行与集群计算 · 计算机科学 2020-10-15 Andreas Fischbach , Jan Strohschein , Andreas Bunte , Jörg Stork , Heide Faeskorn-Woyke , Natalia Moriz , Thomas Bartz-Beielstein

The recent influx of open scientific data has contributed to the transitioning of scientific computing from compute intensive to data intensive. Whereas many Big Data frameworks exist that minimize the cost of data transfers, few scientific…

分布式、并行与集群计算 · 计算机科学 2022-07-06 Valérie Hayot-Sasson , Mathieu Dugré , Tristan Glatard

Context: Accurate distance measurements are fundamental to the study of Planetary Nebulae (PNe) but have long been elusive. The most accurate and model-independent distance measurements for galactic PNe come from the trigonometric…

太阳与恒星天体物理 · 物理学 2020-07-01 N. Chornay , N. A. Walton

The Gaia early Data Release 3 has delivered exquisite astrometric data for 1.47 billion sources, which is revolutionizing many fields in astronomy. For a small fraction of these sources, the astrometric solutions are poor, and the reported…

As decarbonization agendas mature, macro-energy systems modelling studies have increasingly focused on enhanced decision support methods that move beyond least-cost modelling to improve consideration of additional objectives and tradeoffs.…

最优化与控制 · 数学 2024-11-26 Michael Lau , Neha Patankar , Jesse D. Jenkins

To use libraries of observed stellar spectra, one needs to know the atmospheric parameters of the stars associated to those spectra. It is, however, hard to know what are the real levels of precision and accuracy of these parameters. To…

太阳与恒星天体物理 · 物理学 2017-09-18 R. Smiljanic , A. J. Korn , A. R. Casey , the Gaia-ESO Survey consortium

Prior art has shown it is possible to estimate, through image processing and computer vision techniques, the types and parameters of transformations that have been applied to the content of individual images to obtain new images. Given a…

计算机视觉与模式识别 · 计算机科学 2018-01-24 Daniel Moreira , Aparna Bharati , Joel Brogan , Allan Pinto , Michael Parowski , Kevin W. Bowyer , Patrick J. Flynn , Anderson Rocha , Walter J. Scheirer

Context. Gaia Early Data Release 3 (EDR3), published in December 2020, features improved photometry and astrometry over that published in the previous DR2 file, and includes a substantially larger number of sources, of the order of 2,000…

星系天体物理 · 物理学 2021-12-14 I. González-Santamaría , M. Manteiga , A. Manchado , A. Ulla , C. Dafonte , P. López Varela

How to analyse Terabytes of photometric data, and extract knowledge on variable stars? How to detect variable phenomena? How to combine different photometric bands? Which algorithm to search for periods? How to characterize and classify the…

天体物理学 · 物理学 2007-05-23 Laurent Eyer

Gaia Data Release 3 provides novel flux-calibrated low-resolution spectrophotometry for about 220 million sources in the wavelength range 330nm - 1050nm (XP spectra). Synthetic photometry directly tied to a flux in physical units can be…

Underwater Image Enhancement (UIE) aims to improve the visual quality from a low-quality input. Unlike other image enhancement tasks, underwater images suffer from the unavailability of real reference images. Although existing works exploit…

计算机视觉与模式识别 · 计算机科学 2024-06-10 Shuaixin Liu , Kunqian Li , Yilin Ding , Qi Qi