Scientific Visualisation of Extremely Large Distributed Astronomical Surveys

OnderzoeksoutputAcademicpeer review

23 Downloads (Pure)


Interactive real-time visualisation of large data sets plays an important role in scientific research. It is even more relevant for astronomy where new cutting edge large telescopes will generate tens of petabytes sky surveys. We describe our solution, developed in context of the Euclid space mission whose large astronomical imaging data will be distributed over several heterogeneous Science Data Centres (SDCs) across the world. In our visualisation architecture for distributed data, millions of survey images (HiPS) distributed over SDCs are efficiently transported and combined to deliver image(s) of interest at the desired resolution (up to pixel level) to the user. This is achieved by optimally utilising a combination of several modern tools consisting of http servers, a Front-End Node and load-balancer (FEN), reverse proxies, PHP/Python scripts, MySQL databases, including on the fly image generation/combination which all feed (only) the required information to the Aladin interactive visualisation tool at the remote user's Personal Computer (PC). It has potential applications for large projects (e.g., Square Kilometre Array) having data distributed across several locations.
Originele taal-2English
TitelAstronomical Data Analysis Software and Systems XXIX
SubtitelProceedings of a Conference Held at MartiniPlaza, Groningen, the Netherlands, 6-10 October 2019
RedacteurenRoberto Pizzo, Erik Ronald Deul, Jan David Mol
UitgeverijAstronomical Society of the Pacific
Aantal pagina's4
ISBN van geprinte versie9781583819418
StatusPublished - 2020

Publicatie series

Naam ASP Conference Series
UitgeverijAstronomical Society of the Pacific
ISSN van geprinte versie1050-3390


Duik in de onderzoeksthema's van 'Scientific Visualisation of Extremely Large Distributed Astronomical Surveys'. Samen vormen ze een unieke vingerafdruk.

Citeer dit