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Open AccessJournal ArticleDOI

TheHaloMod: An online calculator for the halo model

TLDR
The basic formulation of the halo model and several of its components are reviewed in the context of galaxy two-point statistics, developing a coherent framework for its application.
Abstract
The halo model is a successful framework for describing the distribution of matter in the Universe -- from weak lensing observables to galaxy 2-point correlation functions. We review the basic formulation of the halo model and several of its components in the context of galaxy two-point statistics, developing a coherent framework for its application. We use this framework to motivate the presentation of a new Python tool for simple and efficient calculation of halo model quantities, and their extension to galaxy statistics via a \textit{halo occupation distribution}, called \halomod. This tool is efficient, simple to use, comprehensive and importantly provides a great deal of flexibility in terms of custom extensions. This Python tool is complemented by a new web-application at https://thehalomod.app that supports the generation of many halo model quantities directly from the browser -- useful for educators, students, theorists and observers.

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Citations
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The Scale-Dependence of Halo Assembly Bias

TL;DR: In this article, the scale-dependent assembly bias of the two-point clustering of dark matter halos is studied and shown to be influenced by halo properties besides mass, a phenomenon referred to as halo assembly bias.
Journal Article

Galaxy-Galaxy Lensing in Dark Energy Survey Science Verification Data

TL;DR: In this article, the authors present galaxy-galaxy lensing results from 139 deg(2) of the DES Science Verification (SV) data, which are specifically selected to have a low photometric redshift error and outlier rate.
Journal ArticleDOI

Responses of Halo Occupation Distributions: a new ingredient in the halo model & the impact on galaxy bias

TL;DR: In this paper, the authors investigate the impact of long-wavelength perturbations on the response of the HODs to longwavelength observations and find that the effect of these perturbation on the bias of the gas distribution is not negligible in general.
Posted Content

An Intensity Mapping Constraint on the CO-Galaxy Cross Power Spectrum at Redshift ~ 3

TL;DR: In this article, a 2-sigma upper bound on the band-averaged CO-galaxy cross-power of the CO brightness power spectrum has been established, and the expected cross-spectrum spectrum is forecast by applying a number of literature prescriptions for the CO luminosity to halo mass relation.
Proceedings Article

The Luminosity and Color Dependence of the Galaxy Correlation Function

Idit Zehavi
TL;DR: The HOD model fits nicely explain the color dependence of wp(rp) and the cross correlation between red and blue galaxies, and a conditional luminosity function (at fixed halo mass) in which central galaxies lie far above a Schechter function extrapolation of the satellite population.
References
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Journal ArticleDOI

Astropy: A community Python package for astronomy

TL;DR: Astropy as discussed by the authors is a Python package for astronomy-related functionality, including support for domain-specific file formats such as flexible image transport system (FITS) files, Virtual Observatory (VO) tables, common ASCII table formats, unit and physical quantity conversions, physical constants specific to astronomy, celestial coordinate and time transformations, world coordinate system (WCS) support, generalized containers for representing gridded as well as tabular data, and a framework for cosmological transformations and conversions.
Journal ArticleDOI

The NumPy Array: A Structure for Efficient Numerical Computation

TL;DR: In this article, the authors show how to improve the performance of NumPy arrays through vectorizing calculations, avoiding copying data in memory, and minimizing operation counts, which is a technique similar to the one described in this paper.
Journal ArticleDOI

SciPy 1.0: fundamental algorithms for scientific computing in Python.

TL;DR: SciPy as discussed by the authors is an open-source scientific computing library for the Python programming language, which has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year.
Journal ArticleDOI

The NumPy array: a structure for efficient numerical computation

TL;DR: This effort shows, NumPy performance can be improved through three techniques: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts.
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