PINOCCHIO is a fast code to generate catalogues of
cosmological dark matter halos with known mass, position, velocity and
It is able to reproduce, with very good accuracy, the hierarchical
formation of dark matter halos from a realization of an initial
(linear) density perturbation field, given on a 3D grid.
Its setup is similar to that of a conventional N-body simulation,
but it is based on the powerful Lagrangian Perturbation Theory. It
runs in just a small fraction of the computing time taken by an
equivalent N-body simulation, producing promptly the merging histories
of all halos in the catalog.
PINOCCHIO is distributed under a
gnu-gpl v2 license.
The latest version, V4.1.2, can be downloaded
from this link.
This version is
written in C, presents much better scaling properties, and is
highly recommended. Please read the DOCUMENTATION file
for further details.
The code is available on github.
Important: version 4.1.2 contains important bug fixes with respect to v 4.0
Click here to go to the old web site, with previous versions.
Available PINOCCHIO catalogs
The PINOCCHIO algorithm: pinpointing orbit-crossing collapsed hierarchical
objects in a linear density field, Pierluigi Monaco, Tom Theuns &
Giuliano Taffoni, 2002,
MNRAS, 331, 587
- Predicting the Number,
Spatial Distribution and Merging History of Dark Matter Haloes,
Pierluigi Monaco, Tom Theuns, Giuliano Taffoni,
Fabio Governato, Tom Quinn & Joachim Stadel, 2002, ApJ, 564, 8
and the Hierarchical Build-Up of Dark-Matter Haloes,
Giuliano Taffoni, Pierluigi Monaco & Tom Theuns, 2002,
MNRAS, 333, 623
- An accurate tool
for the fast generation of dark matter halo catalogs,
Pierluigi Monaco, Emiliano Sefusatti, Stefano Borgani, Martin Crocce,
Pablo Fosalba, Ravi Sheth & Tom Theuns, 2013, MNRAS, 433, 2389
nIFTy cosmology: Galaxy/halo mock catalogue comparison project on
C.-H. Chuang, C. Zhao, F. Prada et al., 2015, MNRAS, 452, 686.
Improving the prediction of dark matter halo clustering with higher orders
of Lagrangian Perturbation Theory,
E. Munari, P. Monaco, E. Sefusatti, E. Castorina, F.G. Mohammad, S. Anselmi
& S. Borgani, 2017, MNRAS, 465, 4658
Simulating cosmologies beyond LambdaCDM with Pinocchio, L.A.
Rizzo, F. Villaescusa-Navarro, P. Monaco, E. Munari, S. Borgani,
E. Castorina & E. Sefusatti, 2017, JCAP, 01 008
- The cosmological mass function, P.Monaco, 1998,
Fundamentals of Cosmic Physics, 19, 157.
methods for the generation of dark matter halo catalogs in
the age of precision cosmology, P.Monaco, 2016,
Galaxies, N. 4, 53, special issue: "Dark Matter: Large versus Small
Scale Structures", ed. J. Gaite & A. Diaferio.
(Link to the journal)