Getting started
Running nGIST
Once you have cloned the two github repositories and installed nGIST, you will be able to test the installation using the test cube, NGC 0000. nGIST is initially configured such that your working directory is ngistTutorial/. In this working directory, execute the following command:
The pipeline will begin by printing the values input by your MasterConfig.yaml file, and then run through each module listed in the MasterConfig.yaml file in turn. Each step is printed in your terminal, and in the resultant logfile.
Output
Outputs are saved in the ngistTutorial/results/RUN_NAME folder, where the RUN_NAME is specified in the Master_Config.yaml.
Current output files are:
_BinSpectra.hdf5 - a table containing the spatially binned log-rebinned spectra
_BinSpectra_linear.hdf5 - a table containing the spatially binned lin-binned spectra
_table.fits - a table used to reconstruct 2D maps files based on the Voronoi binning.
_mask.fits
_kin.fits - a table containing the stellar kinematics results
_kin-bestfit.fits
_kin-optimalTemplates.fits
_kin-SpectralMask.fits
_KIN_maps.fits
_CONTcube.fits - an emission line-subtracted continuum cube
_LINEcube.fits - a continuum-subtracted line cube
_ORIGcube.fits
_gas_BIN/SPX.fits - a table containing the Voronoi binned (BIN) or spaxel-level (SPX) emission line results
_gas_BIN/SPX_maps.fits
_gas-bestfit_BIN/SPX.fits
_gas-cleaned_BIN/SPX.fits
_SFH_maps.fits
_sfh-bestfit.fits
_sfh-weights.fits
_sfh.fits - a table containing the stellar populations results
_LS_ADAPTED_maps.fits
_LS_ORIGINAL_maps.fits
_ls_AdapRes.fits
_ls_OrigRes.fits
_ls-cleaned_linear.fits
Visualising your results
While the MAPS.fits files can be read in and plotted using e.g. python, the original GIST pipeline also developed the Mapviewer software, which enables a quick-look at your data. To use, run:
Next steps
Now it's time to try one of your own cubes! Simply edit the MasterConfig.yaml file with the details of your own cube, and run!