Galaxy Utilities

Utilities related to FRB galaxies

frb.galaxies.utils.deredden_spec(spectrum, ebv: float)

Deredden the input spectrum using the input EBV value

Args:

• spectrum (xspectrum1d.XSpectrum1D) – Spectrum

• ebv (float) – Galactic reddening

Returns:

De-reddened spectrum

Return type:

xspectrum1d.XSpectrum1D

frb.galaxies.utils.load_specdb(specdb_file=None)

Automatically load the specDB file from $SPECDB/FRB_specDB.hdf5

Args:

specdb_file (str, optional) – Over-ride the default file

Return type:

specdb.specdb.SpecDB

frb.galaxies.utils.list_of_hosts(skip_bad_hosts=True, verbose: bool = False)

Scan through the Repo and generate a list of FRB Host galaxies

Also returns a list of the FRBs

Args:

• skip_bad_hosts (bool)

• verbose (bool) – If True, print more to the screen

Return type:

list, list

frb.galaxies.utils.build_table_of_hosts(attrs: list = None)

Generate a Pandas table of FRB Host galaxy data. These are slurped from the ‘derived’, ‘photom’, and ‘neb_lines’ dicts of each host object

Warning: As standard, missing values are given NaN in the Pandas table

Be careful!

Note

RA, DEC are given as RA_host, DEC_host to avoid conflict with the FRB table

Args:

Returns:

Table of data on FRB host galaxies, dict of their units

Return type:

pd.DataFrame, dict

frb.galaxies.utils.load_f_mL()

Generate an interpolater from mag to Luminosity as a function of redshift (up to z=4)

Warning: this is rather approximate

Return type:

scipy.interpolate.interp1d

frb.galaxies.utils.load_PATH(PATH_root_file: str = 'adopted.csv')

Load up the PATH table

Args:

PATH_root_file (str, optional) – [description]. Defaults to ‘adopted.csv’.

Returns:

Table of galaxy coordinates and PATH results

Return type:

pandas.DataFrame

Note

The load_specdb() function requires the optional specdb package. Install with: pip install specdb