⚠️ This repository is no longer actively developed.
Future development will continue in this fork.
This code provides a method for recovering gas-phase metallicity gradients from integral field spectroscopic (IFS) observations of barely resolved galaxies.
I employ a forward modelling approach to fit the observed spatial distribution of emission-line fluxes, accounting for the degrading effects of seeing and spatial binning. The method is flexible and is not limited to particular emission lines or instruments, nor one set specific set of photoionization models. outline
While this model can be fit in many ways, we adopt a Bayesian approach with a robust likelihood.
In the example directory, there are two scripts:
fit_from_sfrmap.py- shows how to fit the example datamodel_from_sfrmap.py- provides a visualisation of the model output
If you use this code, you should cite Carton et al. 2017, where the method is explained.
You may also wish to cite Carton et al. 2018, where we provide further discussion and improvements.
