This is the public repository for the specification, utilization, and documentation of the AbacusSummit suite of high-performance cosmological N-body simulations.
With nearly 50 trillion particles evolved at high accuracy, AbacusSummit is the largest cosmological N-body simulation suite yet produced. These simulations were designed to meet (and exceed) the Cosmological Simulation Requirements of the Dark Energy Spectroscopic Instrument (DESI) survey. AbacusSummit is being run on the Summit supercomputer at the Oak Ridge Leadership Computing Facility under a time allocation from the DOE's ALCC program.
The bulk of the documentation is here.
The cosmology grid is specified here.
The simulations themselves are specified here.
The abacusutils package can be used to read the halo catalogs and other data products.
Abacus is a high-accuracy cosmological N-body simulation code. It is optimized for GPU architectures and for large volume, moderately clustered simulations. It is extremely fast: we clock over 30 million particle updates per second on commodity dual-Xeon, dual-GPU computers and nearly 70 million particle updates per second on each node of the Summit supercomputer. But it is also extremely accurate: typical force accuracy is below 1e-5 and we are using global timesteps, so the leapfrog timesteps away from the cluster cores are much smaller than the dynamical time.
Abacus is described in Garrison et al. (2019, MNRAS, 485, 3370), where we detail its performance on the Schneider et al. (2016) code comparison simulation, and in Garrison et al. (2018, ApJS, 236, 43), which released an early suite of 125 simulations from 40 cosmologies (https://lgarrison.github.io/AbacusCosmos/).
Abacus is currently actively developed by Lehman Garrison, Nina Maksimova, and Daniel Eisenstein, with contributions from Boryana Hadzhiyska and Sownak Bose and consulting from Philip Pinto. Abacus was initially developed by Marc Metchnik and Philip Pinto, with contributions from Daniel Eisenstein and later development led by Douglas Ferrer.
Abacus development has been supported by NSF AST-1313285 and more recently by DOE-SC0013718, as well as by Simons Foundation funds and Harvard University startup funds. NM was supported as a NSF Graduate Research Fellow. The AbacusCosmos simulations were run on the El Gato supercomputer at the University of Arizona, supported by grant 1228509 from the NSF; the AbacusSummit simulations have been supported by OLCF projects AST135 and AST145, the latter through the Department of Energy ALCC program.
Use of AbacusSummit should cite Maksimova et al. (in prep) for the
simulation suite and the aforementioned Garrison et al. (2019) and Garrison et al.
(2018) for the Abacus code, and Metchnik (2009) for the initial
method.
Applications using the CompaSO halos should cite Hadzhiyska et al. (in prep) for that method.
Other citations may be requested as we publish more of the
numerical methods.
Garrison et al. (2016, MNRAS, 461, 4125) describes our initial condition methods. Hadzhiyska et al. (in prep) will describe our SO group finding method. Pinto et al. (in prep) will describe the Abacus far-field method. Joyce et al. (submitted) describes accuracy tests using scale-free simulations.