DiscFinder is a scalable approach for identifying large-scale astro-nomical structures, such as galaxy clusters, in massive observation and simulation astrophysics datasets. It is designed to operate on datasets with tens of billions of astronomical objects, even in the case when the dataset is much larger than the aggregate memory of compute cluster used for the processing. 1
Aims. We study galaxy clustering and explore the dependence of galaxy properties on the the environm...
Context. Clusters of galaxies are important for cosmology and astrophysics. They may be discovered t...
In the last decade a new generation of telescopes and sensors has allowed the production of a very l...
DiscFinder is a scalable approach for identifying large-scale astro-nomical structures, such as gala...
DiscFinder is a scalable approach for identifying large-scale astronomical structures, such as galax...
DiscFinder is a scalable, distributed, data-intensive group finder for analyzing observation and sim...
Abstract. We describe Astroinformatics, the new data science paradigm for astronomy research and edu...
Google and its competitors have created a new class of large-scale computer systems to support In-te...
The exponential growth of astronomical data collected by both ground-based and spaceborne instrument...
The exponential growth of astronomical data collected by both ground-based and spaceborne instrument...
[Context]: Clusters of galaxies are important for cosmology and astrophysics. They may be discovered...
[Context] The improvements in the precision of the published data in Gaia EDR3 with respect to Gaia ...
Context. Open clusters are key targets for studies of Galaxy structure and evolution, and stellar ph...
Astrophysics is at the threshold of a new epoch in which increasinglycomplex, heterogeneous datasets...
Galaxy clusters are the largest stable structures in the universe. Galaxy clusters have been key ast...
Aims. We study galaxy clustering and explore the dependence of galaxy properties on the the environm...
Context. Clusters of galaxies are important for cosmology and astrophysics. They may be discovered t...
In the last decade a new generation of telescopes and sensors has allowed the production of a very l...
DiscFinder is a scalable approach for identifying large-scale astro-nomical structures, such as gala...
DiscFinder is a scalable approach for identifying large-scale astronomical structures, such as galax...
DiscFinder is a scalable, distributed, data-intensive group finder for analyzing observation and sim...
Abstract. We describe Astroinformatics, the new data science paradigm for astronomy research and edu...
Google and its competitors have created a new class of large-scale computer systems to support In-te...
The exponential growth of astronomical data collected by both ground-based and spaceborne instrument...
The exponential growth of astronomical data collected by both ground-based and spaceborne instrument...
[Context]: Clusters of galaxies are important for cosmology and astrophysics. They may be discovered...
[Context] The improvements in the precision of the published data in Gaia EDR3 with respect to Gaia ...
Context. Open clusters are key targets for studies of Galaxy structure and evolution, and stellar ph...
Astrophysics is at the threshold of a new epoch in which increasinglycomplex, heterogeneous datasets...
Galaxy clusters are the largest stable structures in the universe. Galaxy clusters have been key ast...
Aims. We study galaxy clustering and explore the dependence of galaxy properties on the the environm...
Context. Clusters of galaxies are important for cosmology and astrophysics. They may be discovered t...
In the last decade a new generation of telescopes and sensors has allowed the production of a very l...