Radio Beam

A tool for manipulating and utilizing two dimensional gaussian beams within the astropy framework.


Read a beam from a fits header:

>>> from radio_beam import Beam
>>> from import fits
>>> header = fits.getheader('file.fits')  
>>> my_beam = Beam.from_fits_header(header)  
>>> print(my_beam)  
Beam: BMAJ=0.038652855902928 arcsec BMIN=0.032841067761183604 arcsec BPA=32.29655838013 deg

Create a beam from scratch:

>>> from astropy import units as u
>>> my_beam = Beam(0.5*u.arcsec)

Use a beam for Jy -> K conversion:

>>> (1*u.Jy).to(u.K, u.brightness_temperature(25*u.GHz, my_beam)) 
<Quantity 7821.572919292681 K>

Convolve with another beam:

>>> my_asymmetric_beam = Beam(0.75*u.arcsec, 0.25*u.arcsec, 0*u.deg)
>>> my_other_asymmetric_beam = Beam(0.75*u.arcsec, 0.25*u.arcsec, 90*u.deg)
>>> my_asymmetric_beam.convolve(my_other_asymmetric_beam)  
Beam: BMAJ=0.790569415042 arcsec BMIN=0.790569415042 arcsec BPA=45.0 deg

Deconvolve another beam:

>>> my_big_beam = Beam(1.0*u.arcsec, 1.0*u.arcsec, 0*u.deg)
>>> my_little_beam = Beam(0.5*u.arcsec, 0.5*u.arcsec, 0*u.deg)
>>> my_big_beam.deconvolve(my_little_beam)  
Beam: BMAJ=0.866025403784 arcsec BMIN=0.866025403784 arcsec BPA=0.0 deg

Read a table of beams:

>>> from radio_beam import Beams
>>> from import fits
>>> bin_hdu ='file.fits')[1]  
>>> beams = Beams.from_fits_bintable(bin_hdu)  

Create a table of beams:

>>> my_beams = Beams([1.5, 1.3] * u.arcsec, [1., 1.2] * u.arcsec, [0, 50] * u.deg)

Find the largest beam in the set:

>>> my_beams.largest_beam()
Beam: BMAJ=1.3 arcsec BMIN=1.2 arcsec BPA=50.0 deg

Find the smallest common beam for the set (see here for more on common beams):

>>> my_beams.common_beam()  
Beam: BMAJ=1.50671729431 arcsec BMIN=1.25695643792 arcsec BPA=6.69089813778 deg