HMFcalc: An Online Tool for Calculating Dark Matter Halo Mass Functions

Steven Murray, Chris Power, Aaron Robotham
6/28/2013
astro-ph.CO

Official code: halomod/hmf (75 stars, last commit 2026-10-19).

Abstract

The dark matter halo mass function (HMF) is a characteristic property of cosmological structure formation models, quantifying the number density of dark matter haloes per unit mass in the Universe. A key goal of current and planned large galaxy surveys is to measure the HMF and to use it to test theories of dark matter and dark energy. We present a new web application for calculating the HMF -- the frontend HMFcalc and the engine hmf. HMFcalc has been designed to be flexible, efficient and easy to use, providing observational and theoretical astronomers alike with the means to explore standard functional forms of the HMF or to tailor their own. We outline the theoretical background needed to compute the HMF, we show how it has been implemented in hmf, and finally we provide worked examples that illustrate HMFcalc's versatility as an analysis tool.

View on arXivView PDF

Code Implementations(1)

halomod/hmfOfficial100%

Python halo mass function calculator

7537Python, Jupyter NotebookApr 8, 20132 days agoNOASSERTION

Similar Papers

TheHaloMod: An online calculator for the halo model

83% match3 repos752020

Forward Modeling of Large-Scale Structure: An open-source approach with Halotools

81% match1 repo1212016

Neural physical engines for inferring the halo mass distribution function

80% match2019

PyUltraLight: A Pseudo-Spectral Solver for Ultralight Dark Matter Dynamics

78% match1 repo182018

Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks

78% match2024

Core Cosmology Library: Precision Cosmological Predictions for LSST

78% match1 repo1602018

Cite this paper

@article{murray2013hmfcalc,
  title  = {HMFcalc: An Online Tool for Calculating Dark Matter Halo Mass Functions},
  author = {Steven Murray and Chris Power and Aaron Robotham},
  year   = {2013},
  eprint = {1306.6721},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1306.6721}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/1306.6721.svg)](https://codeofpaper.com/paper/1306.6721)

Discussion