Code

matvis
matvis is a visibility simulator: it computes what an interferometer (like HERA) would measure given a model of the sky. This process is incredibly computationally demanding for telescopes like HERA that have several hundred antennas (and, more importantly, several tens of thousands of pairs of antennas). matvis adopts a novel matrix-based approach to the computation that gets significant acceleration from modern GPUs. The original author of this code was Aaron Parsons. I have been the primary maintainer and performance-enhancer in recent times.
Last updated on Dec 13, 2023
matvis
powerbox
A small Python code that is all about power spectra in “boxes” of arbitrary dimension. It can both create boxes with a given power spectrum, or determine the power spectrum of a given box. It does all of this with a lot of generality — we’re not just talking about 2- or 3-dimensional boxes, but boxes with an arbitrary number of dimensions (as long as your computer has enough memory!). Bring on the 5-dimensional cubes!
Last updated on Nov 15, 2022
powerbox
pydftools
A package that implements a statistical method for robust estimation of density functions for observables, eg. luminosity functions and mass functions of galaxies or haloes. While I contributed to the statistical method itself, I was not the primary force behind the algorithm (that was Danail Obreschkow. This package is my Python implementation of the method.
Last updated on Nov 15, 2022
pydftools
yabf
Yet Another Bayesian Framework. This package is a Python library that implements a simple way to define complicated hierarchical Bayesian models via static YAML files. It is used by edges-estimate to perform Bayesian inference for EDGES.
Last updated on Nov 15, 2022
yabf
yabf
Yet Another Bayesian Framework. This package is a Python library that implements a simple way to define complicated hierarchical Bayesian models via static YAML files. It is used by edges-estimate to perform Bayesian inference for EDGES.
Last updated on Nov 15, 2022
yabf
TheHaloMod

TheHaloMod is a web-application that uses my Python codes hmf and halomod to calculate halo model quantities, and serve up plots directly without ever having to install the codes, from the comfort of your web browser.

The purpose of TheHaloMod is to be useful both for researchers and also students approaching research into large-scale structure. TheHaloMod was formerly known as HMFcalc, and has been well-used since its creation in 2013. TheHaloMod adds extra goodies to the original HMFcalc — namely, the ability to calculate correlation functions and power spectra of galaxies.

From June 2021, TheHaloMod has become a shiny new single-page app, developed by a very talented group of Computer Science undergrads at ASU.

Last updated on Nov 15, 2022
TheHaloMod
hmf

A python application that provides a flexible and simple way to calculate the Halo Mass Function for a range of varying parameters.

The Halo Mass Function is a critical quantity in determining properties of the large-scale structure of the Universe. It encodes the number of halos of a given mass in a given volume of the Universe, and can be predicted from some neat arguments given a cosmology that describes how the Universe is expanding. The predictions can be used to compare to observations of galaxy clusters to determine parameters of the large scale structure. The HMF is also a key ingredient in more complex predictions of the Universe, via the halo model.

Last updated on Nov 15, 2022
hmf