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indra-tools

This is the code repository for the Indra simulations, hosted on 'SciServer <http://www.sciserver.org>'_.

Indra is a suite of large-volume cosmological N-body simulations. Each of the 384 simulations is computed with the same WMAP7 cosmological parameters and different initial phases, providing excellent statistics of the large-scale features of the distribution of dark matter in the universe. The independent volumes each have 1024<sup>3</sup> dark matter particles in a box of length 1 Gpc/h.

The Indra data volumes contain, for each simulation:
  • 64 snapshots of particle positions and velocities
  • 64 snapshots of FOF and SUBFIND halo catalogs
  • 505 time-steps of coarse-gridded Fourier-space density fields
The Indra relational database contains:
  • Halo catalog tables for every simulation and snapshot
  • Spatial3D library to allow efficient selection of halos and particle data within 3-dimensional shapes

Getting Started

To access Indra, create an account on 'SciServer <http://www.sciserver.org>'_ and join the Cosmological Simulations Science Domain. Then, from the SciServer Dashboard, navigate to Compute and create a container: select the Cosmological Simulations compute image and mount all three Indra Data Volumes.

The Cosmological Simulations compute image comes with this library pre-installed plus all software on the default SciServer Essentials image.

To install by hand, go to a terminal in a SciServer container (that has the Indra data volumes mounted) and execute:

pip install git+https://github.com/bfalck/indra-tools.git
Example notebooks are provided that demonstrate how to:
  • use the reading functions: read_examples.ipynb (Start here)
  • query the halo catalog database tables: database_examples.ipynb
  • compute density fields: density_field_examples.ipynb
  • selectively (and efficiently) read particles in 3-dimensional shapes such as a sphere, box, or cone: Shape3D_examples.ipynb

These notebooks can be found in the main Indra data volume from within a compute container. Copy them to your persistent home directory to use and edit.

Reference

indra-tools is licensed under a 3-clause BSD style license.

We ask that scientific publications that make use of Indra cite the Falck, et al. 2021 'data release paper <https://arxiv.org/abs/2101.03631>'_ (Falck, et al. 2021, MNRAS, 506, 2659).