import numpy as np
import paths
from astropy.io import fits
import pylab as pl
from astropy import wcs
import astropy.visualization
from astropy.nddata import Cutout2D
from astropy import coordinates
from astropy import units as u
import regions
noise_regions = regions.read_ds9(paths.rpath('noise_regions.reg'))
sc5tt = fits.open(
paths.mergepath(
'continuum/SgrB2_selfcal_full_TCTE7m_selfcal5_ampphase_taylorterms_multiscale_deeper_mask2.5mJy.image.tt0.pbcor.fits'
))
mywcs = wcs.WCS(sc5tt[0].header)
data = sc5tt[0].data
peak = np.nanmax(data)
print("Peak flux: {0} Jy".format(peak))
for reg in noise_regions:
pixreg = reg.to_pixel(mywcs)
mask = pixreg.to_mask()
cutout = mask.cutout(data) * mask.data
name = reg.meta['text'].strip("{}")
from astropy.io import fits
from astropy.table import Table,Column
import paths
from core_photometry import photometry
lines = ["CFp", "CH3OH7m26-716", "H15NC", "H2CO615-616", "H2CS303-202",
"H2CS313-212", "H2CS322-221", "H41a", "HC3N", "HCN", "HNC",]
if __name__ == "__main__":
regs = regions.read_ds9(paths.rpath('sgrb2_cores_TE.reg'))
all_results = {}
for line in lines:
fn = paths.mergepath("max/SgrB2_b3_7M_12M.{0}.image.pbcor_max_medsub.fits".format(line))
ffile = fits.open(fn)
data = ffile[0].data
header = ffile[0].header
beam = radio_beam.Beam.from_fits_header(header)
mywcs = wcs.WCS(header)
units = {'peak':u.Jy/u.beam,
'sum':u.Jy/u.beam,
'npix':u.dimensionless_unscaled,
'beam_area':u.sr,
'peak_brightness': u.K,
'freq': u.GHz,
'RA': u.deg,
'Dec': u.deg,
}
from visualization import make_scalebar, hide_labels
from astropy.nddata import Cutout2D
from astropy import coordinates
from astropy import units as u
import warnings
warnings.filterwarnings('ignore', category=wcs.FITSFixedWarning, append=True)
ra1m, dec1m = (266.84197, -28.391225)
ra2m, dec2m = (266.82652, -28.378154)
ra1s, dec1s = (266.83741, -28.398368)
ra2s, dec2s = (266.83265, -28.393495)
init = fits.open(
paths.mergepath(
'continuum/SgrB2_selfcal_full_TCTE7m_init.image.pbcor.fits'))
sc1 = fits.open(
paths.mergepath(
'continuum/SgrB2_selfcal_full_TCTE7m_selfcal1.image.pbcor.fits'))
sc2 = fits.open(
paths.mergepath(
'continuum/SgrB2_selfcal_full_TCTE7m_selfcal2.image.pbcor.fits'))
sc3 = fits.open(
paths.mergepath(
'continuum/SgrB2_selfcal_full_TCTE7m_selfcal3.image.pbcor.fits'))
sc4 = fits.open(
paths.mergepath(
'continuum/SgrB2_selfcal_full_TCTE7m_selfcal4_ampphase.image.pbcor.fits'
))
sc5 = fits.open(
paths.mergepath(
'peak_mass_40K': u.M_sun,
'peak_col_40K': u.cm**-2,
'RA': u.deg,
'Dec': u.deg,
}
results = photometry(data,
mywcs,
regs,
beam,
alphamap=alphamap,
alphaerrmap=alphaerrmap)
#fn_90GHz = paths.tmpath('SgrB2_nocal_TE_continuum_90GHz.image.pbcor.fits')
fn_90GHz = paths.mergepath(
'continuum/SgrB2_selfcal_full_TETC7m_selfcal5_ampphase_continuum_90GHz.image.pbcor.fits'
)
results_90GHz = photometry(
fits.getdata(fn_90GHz), wcs.WCS(fits.getheader(fn_90GHz)), regs,
radio_beam.Beam.from_fits_header(fits.getheader(fn_90GHz)))
#fn_100GHz = paths.tmpath('SgrB2_nocal_TE_continuum_100GHz.image.pbcor.fits')
fn_100GHz = paths.mergepath(
'continuum/SgrB2_selfcal_full_TETC7m_selfcal5_ampphase_continuum_100GHz.image.pbcor.fits'
)
results_100GHz = photometry(
fits.getdata(fn_100GHz), wcs.WCS(fits.getheader(fn_100GHz)), regs,
radio_beam.Beam.from_fits_header(fits.getheader(fn_100GHz)))
for name in results:
results[name]['peak_col_20K'] = masscalc.col_conversion_factor(
results[name]['peak'] * u.Jy, beam.sr)
import astropy.visualization
from visualization import make_scalebar, hide_labels
from astropy.nddata import Cutout2D
from astropy import coordinates
from astropy import units as u
import warnings
warnings.filterwarnings('ignore', category=wcs.FITSFixedWarning, append=True)
ra1m,dec1m = (266.84197, -28.391225)
ra2m,dec2m = (266.82652, -28.378154)
ra1s,dec1s = (266.83741, -28.398368)
ra2s,dec2s = (266.83265, -28.393495)
init = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_init.image.tt0.pbcor.fits'))
sc1 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal1.image.tt0.pbcor.fits'))
sc2 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal2.image.tt0.pbcor.fits'))
sc3 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal3.image.tt0.pbcor.fits'))
sc4 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal4_ampphase.image.tt0.pbcor.fits'))
sc5 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal5_ampphase.image.tt0.pbcor.fits'))
sc5tt = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal5_ampphase_deeper_mask2.5mJy.image.tt0.pbcor.fits'))
sc6tt = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal6_ampphase_deeper_mask1.5mJy.image.tt0.pbcor.fits'))
rinit = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_init.residual.tt0.fits'))
rsc1 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal1.residual.tt0.fits'))
rsc2 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal2.residual.tt0.fits'))
rsc3 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal3.residual.tt0.fits'))
rsc4 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal4_ampphase.residual.tt0.fits'))
rsc5 = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal5_ampphase.residual.tt0.fits'))
rsc5tt = fits.open(paths.mergepath('continuum/SgrB2_selfcal_full_TCTE7m_try2_selfcal5_ampphase_deeper_mask2.5mJy.residual.tt0.fits'))