Published July 1, 2010 | Version v1
Journal article

Non-Gaussian halo assembly bias

  • 1. Institute for Sciences of the Cosmos (ICC), University of Barcelona and IEEC, Barcelona 08028 (Spain)
  • 2. Max Planck Institute for Astrophysics, P.O. Box 1317, D85741 Garching (Germany)
  • 3. Dipartimento di Fisica ''G. Galilei'', Università degli Studi di Padova, via Marzolo 8, I-35131 Padova (Italy)
  • 4. Dipartimento di Astronomia, Università di Bologna, Via Ranzani 1, I-40127 Bologna (Italy)

Description

The strong dependence of the large-scale dark matter halo bias on the (local) non-Gaussianity parameter, fNL, offers a promising avenue towards constraining primordial non-Gaussianity with large-scale structure surveys. In this paper, we present the first detection of the dependence of the non-Gaussian halo bias on halo formation history using N-body simulations. We also present an analytic derivation of the expected signal based on the extended Press-Schechter formalism. In excellent agreement with our analytic prediction, we find that the halo formation history-dependent contribution to the non-Gaussian halo bias (which we call non-Gaussian halo assembly bias) can be factorized in a form approximately independent of redshift and halo mass. The correction to the non-Gaussian halo bias due to the halo formation history can be as large as 100%, with a suppression of the signal for recently formed halos and enhancement for old halos. This could in principle be a problem for realistic galaxy surveys if observational selection effects were to pick galaxies occupying only recently formed halos. Current semi-analytic galaxy formation models, for example, imply an enhancement in the expected signal of ∼ 23% and ∼ 48% for galaxies at z = 1 selected by stellar mass and star formation rate, respectively

Availability note (English)

Available from http://dx.doi.org/10.1088/1475-7516/2010/07/013

Additional details

Publishing Information

Journal Title
Journal of Cosmology and Astroparticle Physics
Journal Volume
2010
Journal Issue
07
Journal Page Range
p. 013
ISSN
1475-7516

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45094018
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
Descriptors DEI
APPROXIMATIONS; COMPUTERIZED SIMULATION; CORRECTIONS; COSMOLOGY; GALAXIES; MASS; NONLUMINOUS MATTER; RED SHIFT; STAR EVOLUTION; STARS
Descriptors DEC
CALCULATION METHODS; EVOLUTION; MATTER; SIMULATION