Chemical complexity in the interstellar medium and star formation group

MADCUBA

Our group develops the software MADCUBA (MAdrid Data CUBe Analysis), to analyze astronomical datacubes and multiple spectra from the main astronomical facilities (ALMA, Herschel, VLA, NOEMA, IRAM 30m, Yebes 40m, APEX, GBT, Effelberg...).

MADCUBA has been designed to combine an user friendly interface and a powerful data analysis system. It is able to deal with large datacubes and provide the tools needed to interpret and analize the data.

MADCUBA is a open software freely available for the community. You can download the package from the MADCUBA website.

Python scripts

We have developed some reduction and analysis tools with Python for different purposes. Each of them is uploaded to GitHub and contains a user guide. Below is a list with these tools with the corresponding links:

• Automated GILDAS-CLASS Pipeline. Python pipeline for using the tool CLASS from the software GILDAS in an automated way.

• RADEX Line Fitter. Python line fitter that uses the software RADEX to derive physical quantities from observed transitions.

• MADCUBA-SLIM Python Scripts. Bundle of Python scripts to process and plot the data from MADCUBA.

• RichValues. Python package for dealing with uncertainties and upper/lower limits.

If you use any of the the three first software for your scientific research, please cite the following paper, where they were used for reducing and visualising the data and some of them were introduced:
https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.1601M/abstract/.

If you use the RichValues package, please cite the following paper, in whose appendix it is presented:
https://ui.adsabs.harvard.edu/abs/2025A%26A...702A..87M/abstract/.

Additional data

Data from Rivilla et al. (2021) paper:

• DATA