Notes on Model Construction - GabrielaCR/AGNfitter GitHub Wiki
Notes on Model Construction
As seen above, one main difference among the runtime options is the construction of the dictionary of models at the different redshifts of the sources.
Since the dictionary construction may be a lengthy process for large catalogs (0.1 min per redshift), you can choose among some options in the SETTINGS_AGNfitter.py
script.
To summarise, there are basically three ways this dictionary can be constructed:
Dict with grid of redshifts: In filters['dict_zarray']
you can specify a grid of redshifts which roughly covers the redshift range of your catalog. This is recommended for very large catalogs or not accurate redshifts. Ideally, the grid cells should not be larger than the redshift uncertainty.
Dict with array of redshifts: In filters['dict_zarray']
you can specify the exact array of the redshifts in your catalog. This is recommended for small catalogs or very accurate redshifts.
Dict independent By choosing the option -i (--independent) single model dictionaries will be produced for each source independently at its own redshift. These dictionaries will be stored in each source's folder. This is recommended for compute clusters with multiple machines.