indra-tools

This is the code repository for the Indra simulations, hosted on SciServer.

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 1024³ 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 and join the Cosmological Simulations Science Domain. Information about using SciServer, including how to join the Science Domain, is available on the help pages.

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 (/home/idies/workspace/indra/) 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 (Falck, et al. 2021, MNRAS, 506, 2659).