2017
DOI: 10.1016/j.ascom.2017.05.001
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A web portal for hydrodynamical, cosmological simulations

Abstract: This article describes a data center hosting a web portal for accessing and sharing the output of large, cosmological, hydro-dynamical simulations with a broad scientific community. It also allows users to receive related scientific data products by directly processing the raw simulation data on a remote computing cluster.The data center has a multi-layer structure: a web portal, a job control layer, a computing cluster and a HPC storage system. The outer layer enables users to choose an object from the simula… Show more

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Cited by 56 publications
(48 citation statements)
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References 29 publications
(42 reference statements)
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“…This indicates that the origin of the variation is due to macroscopic events, linked to the global evolution of the clusters. The same trend is found in the clusters extracted from the cosmological box (of size 640h −1 Mpc) of the Magneticum simulations 9 (Dolag et al 2016;Ragagnin et al 2017) at redshifts z = 0 and z ≈ 1, 1.5, 2. As a further confirmation that this finding does not depend on the SZ-like selection, we explore the slope evolution for the M − T sl relations derived from all objects that at each redshift are above M500 > 10 13 M .…”
Section: The Slopesupporting
confidence: 80%
“…This indicates that the origin of the variation is due to macroscopic events, linked to the global evolution of the clusters. The same trend is found in the clusters extracted from the cosmological box (of size 640h −1 Mpc) of the Magneticum simulations 9 (Dolag et al 2016;Ragagnin et al 2017) at redshifts z = 0 and z ≈ 1, 1.5, 2. As a further confirmation that this finding does not depend on the SZ-like selection, we explore the slope evolution for the M − T sl relations derived from all objects that at each redshift are above M500 > 10 13 M .…”
Section: The Slopesupporting
confidence: 80%
“…• 500Mpc/hr: The second simulation considered in this work comprises a large volume of (500Mpc) 3 with a resolution of M dm = 6.9 · 10 8 M /h and Mgas = 1.4 · 10 8 M /h, enabling us to study the evolution of a large AGN population, including very massive and very luminous AGN (Hirschmann et al 2014). This simulation run is publicly available via our web interface (see Ragagnin et al 2017).…”
Section: The Theoretical Set-upmentioning
confidence: 99%
“…More recently, significant infrastructure research and development has focused on providing remote computational resources, including the NOAO Data Lab (Fitzpatrick et al, 2014) and the SciServer project (Medvedev et al, 2016;Raddick et al, 2017). Web-based orchestration projects also include Ragagnin et al (2017), Tangos (Pontzen and Tremmel, 2018), and Jovial (Araya et al, 2018).…”
Section: Introductionmentioning
confidence: 99%