MARTINI: Mock Array Radio Telescope Interferometry of the Neutral ISM

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.

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

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Cited by in corpus (4)

• HI asymmetries in spatially resolved SIMBA galaxies
• Dynamical disequilibrium in dwarf galaxies: rethinking gas dynamics, rotation curves, and dark matter inference
• WALLABY Pilot Survey & ASymba: Comparing HI Detection Asymmetries to the SIMBA Simulation
• Dark Matter profiles of "in silico" galaxies: deep learning inference