Description
Findable, accessible, reliable and repeatable. These words describe imperative attributes of software necessary for evaluating modern science questions. In this talk, I will present open-source code, SimSpin, written to generate mock observations of simulated galaxies in a format consistent with integral field spectroscopic (IFS) observations. This open-source software has been written using FAIR principles, with unit tests, coverage analysis and continuous development methods. SimSpin has been used by a number of ongoing IFS surveys, including SAMI and MAGPI, to make mock survey comparisons with cosmological models in a consistent way. This code also allows us to make fair comparisons between different cosmological simulations, as a variety of flavours are supported as input, with identical treatment once ingested. Alongside the development of the code, we have further created a web-based API interface such that users can work with the code and subsequent data products within the user’s own coding language. Here, we will highlight the benefits and ease of implementing these FAIR methodologies and how, when presenting data in consistent format, we benefit both observers and theorists alike.
