def phaseMap(tile,nPhases,nSlopes,maxSlope=10,displayMap=False,minFreqSep=.5):
phases = np.linspace(0.,2.*np.pi,nPhases)
slopes = np.linspace(0.5,maxSlope,nSlopes)
pmap = np.zeros((nSlopes,nPhases))
for iSlope,slope in enumerate(slopes):
if iSlope % 100 == 0:
print iSlope
for iPhase,phase in enumerate(phases):
tileWithGrad = addGradient(tile,slope,phase)
#plotArray(tileWithGrad,title='slope {} angle {}'.format(slope,phase))
pmap[iSlope,iPhase] = countCollisions(tileWithGrad,minFreqSep=minFreqSep)
percentMap = 100.*pmap/len(np.ravel(tile))
print 'median unusable pixels (%) above slope {}: {}'.format(slopes[0],np.median(percentMap.ravel()))
print 'sdev unusable pixels (%) above slope {}: {}'.format(slopes[0],np.std(percentMap.ravel()))
print 'min,max unusable pixels (%) above slope {}: {} {}'.format(slopes[0],np.min(percentMap.ravel()),np.max(percentMap.ravel()))
hist,binEdges = np.histogram(percentMap,bins=150)
plt.plot(binEdges[0:-1],hist)
plt.show()
if displayMap:
pop = PopUp(showMe=False)
pop.plotArray(percentMap,cbarLabel='Unusable Pixels (%)')
xticks = np.array(pop.axes.get_xticks(),dtype=np.int)
yticks = np.array(pop.axes.get_yticks(),dtype=np.int)
print xticks
print yticks
pop.axes.set_xticklabels(['{:.0f}'.format(phase*180./np.pi) for phase in phases[xticks[0:-1]]])
pop.axes.set_yticklabels(['{:.1f}'.format(slope) for slope in slopes[yticks[0:-1]]])
pop.axes.set_xlabel('Gradient Angle (${}^{\circ}$)')
pop.axes.set_ylabel('Gradient Slope (MHz/pixel)')
pop.axes.xaxis.tick_bottom()
pop.show()
return {'numberUnusablePixels':pmap,'gradientAnglesDeg':(phases*180./np.pi),'gradientSlopesMHz':slopes,'percentUnusable':percentMap}
dateMask = np.array([tstamp in obsSeq for tstamp in tstamps])
phaseProfilesOnDate = phaseProfiles[dateMask]
combineProfiles(phaseBinEdges,phaseProfilesOnDate,label=sunsetDates[iDate])
dateMasks.append(dateMask)
combineProfiles(phaseBinEdges,phaseProfiles,label='total')
#print '20140924',tstamps[0:17]
#print '20140925',tstamps[17:47]
#print '20141021',tstamps[47:]
#profileErrors = dataDict['profileErrors']
pop = PopUp(showMe=False)
pop.plotArray(phaseProfiles,aspect=2.)
pop.axes.set_yticks(np.arange(np.shape(phaseProfiles)[0]))
pop.axes.tick_params(axis='both', which='major', labelsize=7)
pop.axes.set_yticklabels(tstamps)
pop.show()
#plotArray(phaseProfiles)
# combineProfiles(phaseBinEdges,phaseProfiles,label='total')
# combineProfiles(phaseBinEdges,phaseProfiles[0:15],label='20140924')
# combineProfiles(phaseBinEdges,phaseProfiles[17:47],label='20140925')
# combineProfiles(phaseBinEdges,phaseProfiles[47:],label='20141021')
timeProfile = np.mean(phaseProfiles,axis=1)
fig,(ax,ax2,ax3,ax4) = plt.subplots(4,1,sharex='col')
ax.plot(apertureRadiusList)
ax2.plot([psfFit['flux'] for psfFit in psfFits])
ax3.plot([psfFit['parameters'][0] for psfFit in psfFits])
ax4.plot(timeProfile)
for iTime,tstamp in enumerate(tstamps):
print iTime,tstamp
