From e3c32fbaf883e865834505009043ceeaa2e89257 Mon Sep 17 00:00:00 2001
From: e-koch <koch.eric.w@gmail.com>
Date: Mon, 10 Sep 2018 15:15:59 -0600
Subject: [PATCH] Update the uv-overlap scripts; still finding a ~0.6
 NOEMA/30-m ratio

---
 imaging/line_postprocess.py      | 6 +++---
 imaging/uv_overlap_comparison.py | 9 ++++++---
 2 files changed, 9 insertions(+), 6 deletions(-)

diff --git a/imaging/line_postprocess.py b/imaging/line_postprocess.py
index 02210d6..e9234aa 100644
--- a/imaging/line_postprocess.py
+++ b/imaging/line_postprocess.py
@@ -11,10 +11,10 @@
 from paths import noema_data_path, iram_data_path
 
 # Load the cube
-cube = SpectralCube.read(noema_data_path("M33-ARM05.image.pbcor.fits"))
+cube = SpectralCube.read(noema_data_path("M33-ARM05_yclean.tc_final.image.pbcor.K.fits"))
 
 # Need to convolve to a common beam
-com_beam = cube.beams.common_beam()
+com_beam = cube.beams.common_beam(epsilon=8e-4)
 cube = cube.convolve_to(com_beam)
 
 # And the IRAM cube
@@ -35,5 +35,5 @@
 interp_cube = smcube.spectral_interpolate(iram_cube.spectral_axis,
                                           suppress_smooth_warning=True)
 
-interp_cube.write(noema_data_path('M33-ARM26.image.pbcor.fits',
+interp_cube.write(noema_data_path('M33-ARM05_yclean.tc_final.image.pbcor.K.26regrid.fits',
                                   no_check=True))
diff --git a/imaging/uv_overlap_comparison.py b/imaging/uv_overlap_comparison.py
index 157cb9f..5fa4310 100644
--- a/imaging/uv_overlap_comparison.py
+++ b/imaging/uv_overlap_comparison.py
@@ -27,12 +27,13 @@
 if not os.path.exists(figure_folder):
     os.mkdir(figure_folder)
 
-noema_cube = SpectralCube.read(noema_data_path('M33-ARM26.image.pbcor.fits'))
+noema_cube = SpectralCube.read(noema_data_path('M33-ARM05_yclean.tc_final.image.pbcor.K.26regrid.fits'))
+
 iram_cube = SpectralCube.read(iram_matched_data_path("m33.co21_iram.noema_regrid.spatial.fits"))
 
 # Also need the pb map. It is constant across the channels so grab the first
 # channel
-noema_pb = SpectralCube.read(noema_data_path('M33-ARM05.pb.fits'))[0]
+noema_pb = SpectralCube.read(noema_data_path('yclean_05/M33-ARM05_yclean.tc_final.pb.fits'))[0]
 
 # Define a mask that will be used to smoothly taper the IRAM data near the
 # map edges. Otherwise the comparison is dominated by ringing in the Fourier
@@ -50,6 +51,8 @@
 # Smallest baseline in the NOEMA data is
 min_baseline = 15.32 * u.m
 LAS = ((co21_freq.to(u.m, u.spectral()) / min_baseline) * u.rad).to(u.deg)
+# About 17.5". The resolution of the 30-m data is 12", so there isn't
+# much overlap.
 
 # Only compare channels with signal in them
 good_chans = slice(11, 26)
@@ -76,7 +79,7 @@
 plt.close()
 
 print("{0}+/-{1}".format(sfact, sfact_stderr))
-# 0.556870076298+/-0.0181629468365
+# 0.597+/-0.019
 # There's a large discrepancy between the data sets.
 # The IRAM data appear to have twice the flux of NOEMA in the overlap region.