History & Motivation

Note

Much more detail of the Caterpillar project can be found in Griffen et al. (2015).

A Brief History

The Caterpillar project was the brainchild of Profs. Anna Frebel and Lars Hernquist at the CfA in ~2010. In 2012, Phillip Zukin was then a PhD student under Edmund Bertschinger at MIT who was temporarily employed to carry out the first parent volume simulations that would become the Caterpillar project. His work continued until Brendan Griffen arrived as the new postdoc to take charge of the project in its entirety in late 2012. Graduate students Greg Dooley and Alex Ji also contributed heavily to the project throughout their PhD at MIT. At a conference at UC Irvine in early 2014 between Anna Frebel, Brian O’Shea, Brendan Griffen and Facundo Gomez, it was agreed that we would combined datasets and future efforts (Brian and Facundo had a similar sized project for studying stellar halos at the time). In September of 2015, the first Caterpillar paper was put on the arxiv.

Motivation

The Caterpillar project is a large simulation suite of dark matter halos of mass similar in size to that of the Milky Way. By virtue of the extremely large number of halos, temporal and spatial resolution of the simulations, it is one of the largest simulation suites of its kind in the world. We plan to extend the initial release sample to 40 halos in total.

The goal of the Caterpillar Project is to use these relatively inexpensive dark matter simulations to:

  • statistically probe the merger history of Milky Way-like galaxies,
  • understand the origin and evolution of the satellite systems of Milky Way-like galaxies and
  • determine to what extent the Milky Way is unusual relative to its similar sized cousins.
  • probe the earliest progenitors of the Milky Way and determine the properties of their surviving populations.

Approach

The Caterpillar suite was run using P-Gadget3 and Gadget4, tree-based n-body codes based on Gadget2 (Springel et al. 2005). For the underlying cosmological model we adopt the \(:raw-latex:`\Lambda`\)CDM parameter set characterised by a Planck cosmology given by, \(:raw-latex:`\Omega`m=0.32\), \(:raw-latex:`Omega`:raw-latex:`\Lambda`=0.68\\), \\(:raw-latex:`Omega`_b=0.05\), \(n_s=0.96\), \(:raw-latex:`\sigma`8=0.83\) and Hubble constant, H = 100 \(h km s:sup:`{-1} Mpc`{-1}\) = 67.11 \(km s:sup:`{-1} Mpc`{-1}\) (Planck et al. 2014). All initial conditions were constructed using music (Hahn & Abel 2011). We identify dark matter halos via Rockstar (Behroozi et al. 2013) and construct merger trees using consistent-trees (Behroozi et al. 2012). Rockstar assigns virial masses to halos, \(M{vir}\), using the evolution of the virial relation from Bryan & Norman (1998). for our particular cosmology. At z = 0, this definition corresponds to an over-density of 104x the critical density of the Universe. We have modified rockstar to output all particles belonging to each halo so we can reconstruct any halo property in post-processing if required. We have also improved the code to include iterative unbinding. In our work, we restrict our definition of virial mass to include only those particles which are bound to the halo.