SLIM Tools

The madcubapy.io package includes classes and functions to work with products from the Spectral Line Identification and Modelling (SLIM) tool of MADCUBA.

Molecular Parameters Tables

The SLIM Tool of MADCUBA lets the user export the molecular parameters of the analysis by hitting SLIM Product > Save Molecular Parameters. This table can be exported in several formats, of which ASCII and CSV are compatible with madcubapy.

Read Molecular Parameters Tables

The import_molecular_parameters_table() imports a Molecular Parameters Table as a Table and applies some basic organization for a set of molecules (currently fixed in the code) by ading two columns named Formula_short and Label to help the user select molecules in the analysis and plotting of parameters.

>>> from madcubapy.io import import_molecular_parameters_table
>>> t = import_molecular_parameters_table("input_file.txt", format='ascii')
>>> t = import_molecular_parameters_table("input_file.csv", format='csv')

Export Molecular Parameters Tables formatted for LaTex

The output_latex_molecular_parameters_table() function exports a Molecular Parameters Table with LaTeX formatting into a text file.

>>> output_latex_molecular_parameters_table(t, "latex.txt")

This function does not simply create a table using LaTeX syntax, at which astropy already does a good job. This function formats every parameter column to output the corresponding significant values when appropriate. For fixed parameters without uncertainty, it performs an in depth comparison between molecules and velocity components to discover the reason for the parameter being fixed, whether it is a fixed velocity component from a different molecule, or an excitation temperature fixed from a different velocity component.

This formatting can also be applied to a Molecular Parameters Table without exporting it. The format_molecular_parameters_columns() function creates new columns for each molecular parameter with the corresponding formatted strings.

>>> formatted_t = format_molecular_parameters_columns(t)