Document detail
ID

oai:arXiv.org:2406.05574

Topic
Astrophysics - Astrophysics of Gal...
Author
Oman, Kyle A.
Category

sciences: astrophysics

Year

2024

listing date

6/12/2024

Keywords
class martini
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Abstract

MARTINI is a modular Python package that takes smoothed-particle hydrodynamics (SPH) simulations of galaxies as input and creates synthetic spatially- and/or spectrally-resolved observations of the 21-cm radio emission line of atomic hydrogen (data cubes).

The various aspects of the mock-observing process are divided logically into sub-modules handling the data cube, source galaxy, telescope beam pattern, noise, spectral model and SPH kernel.

MARTINI is object-oriented: each sub-module provides a class (or classes) which can be configured as desired.

For most sub-modules, base classes are provided to allow for straightforward customization.

Instances of each sub-module class are given as parameters to an instance of a main "Martini" class; a mock observation is then constructed by calling a handful of functions to execute the desired steps in the mock-observing process.

;Comment: Peer-reviewed software published in the Journal of Open Source Software (JOSS)

Oman, Kyle A., 2024, MARTINI: Mock Array Radio Telescope Interferometry of the Neutral ISM

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