English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We present a simple method of generating approximate synthetic halocatalogues: HALOGEN. This method uses a combination of $2^{nd}$-orderLagrangian Perturbation Theory (2LPT) in order to generate the large-scalematter distribution, analytical mass functions to generate halo masses, and asingle-parameter stochastic model for halo bias to position haloes. HALOGENrepresents a simplification of similar recently published methods.  Our method is constrained to recover the 2-point function at intermediate($10Mpc/h<r<50Mpc/h$) scales, which we show is successful to within 2 per cent.Larger scales ($\sim100Mpc/h$) are reproduced to within 15 per cent. We compareseveral other statistics (e.g. power spectrum, point distribution function,redshift space distortions) with results from N-Body simulations to determinethe validity of our method for different purposes. One of the benefits ofHALOGEN is its flexibility, and we demonstrate this by showing how it can beadapted to varying cosmologies and simulation specifications.  A driving motivation for the development of such approximate schemes is theneed to compute covariance matrices and study the systematic errors for largegalaxy surveys, which requires thousands of simulated realisations. We discussthe applicability of our method in this context, and conclude that it is wellsuited to mass production of appropriate halo catalogues.  The code is publicly available at https://github.com/savila/halogen

HALOGEN: A tool for fast generation of mock halo catalogues