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Long wavelength Galactic Plane Survey coverage plots
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from agpy import blackbody | |
import pylab as pl | |
import numpy as np | |
#import matplotlib as mpl | |
pl.rc('font',size=24) | |
_savefig = pl.savefig | |
def savefig(fn, **kwargs): | |
if '.pdf' in fn: | |
_savefig(fn.replace('.pdf','.png'),**kwargs) | |
_savefig(fn,**kwargs) | |
pl.savefig=savefig | |
ymin = 1e-7 | |
bgpsf = np.array([250,294.6]) | |
bgpsw = 3e2/bgpsf | |
irasf = np.array([3.61445783e+12,2.50000000e+12])/1e9 | |
irasw = 3e2/irasf | |
gpaf = np.array([8,15.]) | |
gpaw = 3e2/gpaf | |
labocaf = np.array([301,386.]) | |
labocaw = 3e2/labocaf | |
spirelongf = np.array([484,742.]) | |
spiremidf = np.array([722,1027.]) | |
spireshortf = np.array([1009,1449.]) | |
spirelongw = 3e2/spirelongf | |
spiremidw = 3e2/spiremidf | |
spireshortw = 3e2/spireshortf | |
scubaherschelf = np.array([1000,4500]) | |
scubaherschelf = np.array([325,4500]) | |
scubaherschelw = 3e2/scubaherschelf | |
# 10um to 10 cm | |
wav_cm = np.logspace(-3,1,1000) | |
wbb = blackbody.modified_blackbody_wavelength(wav_cm,100,wavelength_units='cm',beta=0) | |
wgb = blackbody.modified_blackbody_wavelength(wav_cm,100,wavelength_units='cm') | |
wgbC = blackbody.modified_blackbody_wavelength(wav_cm,10,wavelength_units='cm') | |
wmax = (np.argmin(np.abs(0.11-wav_cm))) | |
wgbC *= wgb[wmax]/wgbC[wmax] | |
wff = (wav_cm/1e-3)**0.1 * ymin * 10 | |
pl.figure(6) | |
pl.clf() | |
pl.fill_between(bgpsw,[1e-5,1e-5],[7e-2,7e-2],color='r',alpha=0.5) | |
pl.fill_between(irasw,[3e-2,3e-2],[1e0,1e0],color='b',alpha=0.5) | |
pl.fill_between(gpaw,[1e-6,1e-6],[5e-5,5e-5],color='g',alpha=0.5) | |
pl.annotate('Bolocam',(bgpsw.mean(),1e-1),ha='center',color='r') | |
pl.annotate('IRAS',(irasw.mean(),1.2),ha='center',color='b') | |
pl.annotate('GPA',(gpaw.mean(),8e-5),ha='center',color='g') | |
pl.loglog(wav_cm*10,wbb+wff, color='k', linewidth=3) | |
pl.loglog(wav_cm*10,wgb+wff, color='k', linewidth=5, alpha=0.5) | |
pl.loglog(wav_cm*10,wgbC+wff/1e1, color=(0.3,0,0), linewidth=5, alpha=0.5) | |
pl.xlabel("Wavelength (mm)") | |
pl.ylabel(r"B$_\nu$(T)") | |
pl.axis([min(wav_cm*10),max(wav_cm*10),ymin,10]) | |
pl.gca().set_xticklabels(["%i" % x if x >= 1 else "%0.2f" % x for x in pl.gca().get_xticks()]) | |
pl.savefig("BolocamIRASGPA_Wavelength.pdf") | |
labf = pl.fill_between(labocaw,[1e-5,1e-5],[7e-2,7e-2],color=(1,0,0.2),alpha=0.5) | |
laba = pl.annotate('LABOCA',(labocaw.mean(),2e-1),ha='center',color='m') | |
pl.savefig("BolocamIRASGPA_LABOCA_Wavelength.pdf") | |
pl.fill_between(spirelongw,[1e-5,1e-5],[9e-2,9e-2],color=(0.9,0,0.5),alpha=0.5) | |
pl.fill_between(spiremidw,[1e-5,1e-5],[2e-1,2e-1],color=(0.5,0,0.8),alpha=0.5) | |
pl.fill_between(spireshortw,[1e-5,1e-5],[3e-1,3e-1],color=(0.2,0,0.9),alpha=0.5) | |
laba = pl.annotate('SPIRE',(spiremidw.mean(),5e-1),ha='center',color=(0.5,0,0.8)) | |
#labf.set_visible(False) | |
#laba.set_visible(False) | |
#pl.fill_between(scubaherschelw,[1e-6,1e-6],[3,3],color='c',alpha=0.5) | |
pl.savefig("BolocamIRASGPA_Wavelength_scubaherschel.pdf") | |
freq = 3e10/wav_cm | |
fbb = blackbody.blackbody(freq,100) | |
fgb = blackbody.modified_blackbody(freq,100) | |
fgbC = blackbody.modified_blackbody(freq,10) | |
fmax = (np.argmin(np.abs(bgpsf.mean()*1e9-freq))) | |
fgbC *= fgb[fmax]/fgbC[fmax] | |
fff = (freq/1e9)**-0.1 * ymin * 10 | |
pl.figure(7) | |
pl.clf() | |
pl.fill_between(bgpsf,[1e-5,1e-5],[7e-2,7e-2],color='r',alpha=0.5) | |
pl.fill_between(irasf,[3e-2,3e-2],[1e0,1e0],color='b',alpha=0.5) | |
pl.fill_between(gpaf,[1e-6,1e-6],[5e-5,5e-5],color='g',alpha=0.5) | |
pl.annotate('Bolocam',(bgpsf.mean(),1e-1),ha='center') | |
pl.annotate('IRAS',(irasf.mean(),1.2),ha='center') | |
pl.annotate('GPA',(gpaf.mean(),8e-5),ha='center') | |
pl.loglog(freq/1e9,fbb+fff, color='k', linewidth=3) | |
pl.loglog(freq/1e9,fgb+fff, color='k', linewidth=5, alpha=0.5) | |
pl.loglog(freq/1e9,fgbC+fff/1e1, color=(0.3,0,0), linewidth=5, alpha=0.5) | |
pl.xlabel("Frequency (GHz)") | |
pl.ylabel(r"B$_\nu$(T)") | |
pl.axis([min(freq/1e9),max(freq/1e9),ymin,10]) | |
pl.savefig("BolocamIRASGPA_Frequency.pdf") | |
#rectangle = mpl.patches.Rectangle([np.mean(bgps), [1.5e-6 | |
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