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Gaia is the next astrometry mission of the European Space Agency (ESA), following up on the success of the Hipparcos mission. With a focal plane containing 106 CCD detectors, Gaia will survey the entire sky and repeatedly observe the…

Instrumentation and Methods for Astrophysics · Physics 2015-06-03 J. H. J. de Bruijne

Gaia mission will offer an exceptional opportunity to perform variability studies. The data homogeneity, its optimised photometric systems, composed of 11 medium and 4-5 broad bands, the high photometric precision in G band of one milli-mag…

Astrophysics · Physics 2007-05-23 Laurent Eyer

Gaussian processes are a class of flexible nonparametric Bayesian tools that are widely used across the sciences, and in industry, to model complex data sources. Key to applying Gaussian process models is the availability of well-developed…

Computation · Statistics 2019-07-02 Jamie Fairbrother , Christopher Nemeth , Maxime Rischard , Johanni Brea , Thomas Pinder

Recently, the place of the main programming language for scientific and engineering computations has been little by little taken by Julia. Some users want to work completely within the Julia framework as they work within the Python…

Symbolic Computation · Computer Science 2021-08-30 Dmitry S. Kulyabov , Anna V. Korolkova

Quasars are essential for astrometric in the sense that they are spatial stationary because of their large distance from the Sun. The European Space Agency (ESA) space astrometric satellite Gaia is scanning the whole sky with unprecedented…

Astrophysics of Galaxies · Physics 2019-02-20 Shi-long Liao , Zhao-xiang Qi , Su-fen Guo , Zi-huang Cao

The ESA Gaia mission is a 10+ year astrometric whole-sky scan, demanding consistent data quality over the whole timespan of operations Aims. The Gaia First Look (FL) is a system whose aim is monitoring the data quality to identify problems,…

Machine learning is driving development across many fields in science and engineering. A simple and efficient programming language could accelerate applications of machine learning in various fields. Currently, the programming languages…

Machine Learning · Computer Science 2020-05-19 Kaifeng Gao , Gang Mei , Francesco Piccialli , Salvatore Cuomo , Jingzhi Tu , Zenan Huo

Scientific analyses commonly compose multiple single-process programs into a dataflow. An end-to-end dataflow of single-process programs is known as a many-task application. Typically, tools from the HPC software stack are used to…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-15 Zhao Zhang , Kyle Barbary , Frank Austin Nothaft , Evan Sparks , Oliver Zahn , Michael J. Franklin , David A. Patterson , Saul Perlmutter

Context. Gaia is an ESA cornerstone mission launched on 19 December 2013 aiming to obtain the most complete and precise 3D map of our Galaxy by observing more than one billion sources. This paper is part of a series of documents explaining…

Since its inception in the early 2000, the Virtual Observatory (VO), developed as a collaboration of many national and international projects, has become a major factor in the discovery and dissemination of astronomical information…

In this paper I will describe a new software package developed using the Java programming language, aimed to compute the positions of any Solar System body (among asteroids, comets, planets, and satellites) to help to perform cross-matches…

Instrumentation and Methods for Astrophysics · Physics 2025-05-20 T. Alonso-Albi

Astronomy is entering in a new era of Extreme Intensive Data Computation and we have identified three major issues the new generation of projects have to face: Resource optimization, Heterogeneous Software Ecosystem and Data Transfer. We…

Instrumentation and Methods for Astrophysics · Physics 2012-12-11 Nicolas Kamennoff , Sébastien Foucaud , Sébastien Reybier

We provide a consistent framework for estimating galaxy counts and variances in wide-field images for a range of photometric bands. The variances include both Poissonian noise and variations due to large scale structure. We demonstrate that…

Astrophysics · Physics 2008-11-26 S. C. Ellis , J. Bland-Hawthorn

The European Gaia astrometry mission is due for launch in 2011. Gaia will rely on the proven principles of ESA's Hipparcos mission to create an all-sky survey of about one billion stars throughout our Galaxy and beyond, by observing all…

High Energy Physics (HEP) and other scientific communities have adopted Service Oriented Architectures (SOA) as part of a larger Grid computing effort. This effort involves the integration of many legacy applications and programming…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Michael Thomas , Conrad Steenberg , Frank van Lingen , Harvey Newman , Julian Bunn , Arshad Ali , Richard McClatchey , Ashiq Anjum , Tahir Azim , Waqas ur Rehman , Faisal Khan , Jang Uk In

Gaia is an astrometric space experiment that is measuring positions, proper motions as well as parallaxes for a huge number of stars. It operates a medium-dispersion spectrometer, the RVS, that provides spectra and thus radial velocity…

Solar and Stellar Astrophysics · Physics 2025-01-24 E. Gosset , Y. Damerdji , T. Morel , L. Delchambre , J. -L. Halbwachs , G. Sadowski , D. Pourbaix , A. Sozzetti , P. Panuzzo , F. Arenou

Context: The first Gaia data release (DR1) delivered a catalogue of astrometry and photometry for over a billion astronomical sources. Within the panoply of methods used for data exploration, visualisation is often the starting point and…

The GAIA astrometric mission has recently been approved as one of the next two `cornerstones' of ESA's science programme, with a launch date target of not later than mid-2012. GAIA will provide positional and radial velocity measurements…

The Julia programming language continues to gain popularity both for its potential for programmer productivity and for its impressive performance on scientific code. It thus holds potential for large-scale HPC, but we have not yet seen this…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-30 Amal Rizvi , Kyle C. Hale

Celeste is a procedure for inferring astronomical catalogs that attains state-of-the-art scientific results. To date, Celeste has been scaled to at most hundreds of megabytes of astronomical images: Bayesian posterior inference is…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-11 Jeffrey Regier , Kiran Pamnany , Ryan Giordano , Rollin Thomas , David Schlegel , Jon McAuliffe , Prabhat