IGMGalaxyField Class¶
Notebooks¶
Overview¶
This Class is designed to enable analysis between galaxies and absorbers in a chosen field. In particular, cross-correlation analysis. Although, in many ways this is the starting point for essentially any analysis of galaxies with the IGM.
Instantiation¶
Instantiation only requires the field coordinates, presumably near the center.:
field = ('PG1407+265',212.349634*u.deg,26.3058650*u.deg)
lfield = igmf.IgmGalaxyField((field[1],field[2]), name=field[0], verbose=True)
Attributes/Properties¶
| Variable | Type | Description |
|---|---|---|
| name | str | Given name for the field |
| cosmo | astropy.cosmology | Given name for the field |
| igm | ?? | A means of conveniently storing IGM system info |
| targets | astropy.Table | Table of target info |
| galaxies | astropy.Table | Table of galaxy info |
| observing | astropy.Table | Table of info on observing the galaxies |
| selection | ?? | Object to enable calculation of the galaxy selection function |
Methods¶
Impact Parameter¶
Calculate \(\rho\), the projected impact parameter from a given object at a given redshift to the line-of-sight (LOS) coordinate. By defualt, the projected impact parameter is calculated in co-moving coordinates and the LOS is assumed to be the field coordinate.:
rho = lfield.calc_rhoimpact(obj)
Observed Galaxies¶
Generate a table of the observed galaxies in the field within a given angular radius of the field coord.:
targ, dates, idx = lfield.get_observed(5.*u.arcmin)
Unobserved Galaxies¶
Generate a table of the unobserved galaxies in the field within a given angular radius of the field coord.:
need_targ = lfield.get_unobserved(5.*u.arcmin)
Associated Galaxies¶
Generate a table of the galaxies “associated” to a given LOS.:
close_gal, rho = lfield.get_associated_galaxies(0.13, R=300*u.kpc)
Mask Date¶
Returns a list of the date(s) when a given mask was observed.:
dates = lfield.get_mask_obsdate('PG1407_may_mid2')
Clean Duplicates¶
Returns a version of a table (e.g. targets, galaxies) without duplicates. The table has to have columns for sky coordinates (e.g. RA, DEC) and the duplication criteria is based on a angular tolerance (usually small; default is tol = 1*u.arcsec). Currently, the duplication conflict is solved by only keeping the first entry but we expect other methods will be available in the future.:
targets = lfield.targets
clean_targets = lfield.clean_duplicates(targets, tol=1*u.arcsec, method='first')