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BT_figure.py
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# PLOT FIGURE AS IN FREUNDLICH ET AL. 2019 (Fig. A1)
print 'Running BT_figure.py'
from matplotlib.colors import LogNorm
def plot_figure(galpath,ID=[],gtype=[],view_center=True,view_orientation=True,view_ellipse=True,view_r12=False,view_scale=True,view_satellite=True,cross_sec=0.5,ccolor='red',vmin=1e-4,midpoint=0.6,fontsize=20,num_figure=[],save_image=False,save_path='',figsize=(24,6),spaces=[0.14,0.05,0.195,0.78],plot_BT=False,resize_xyl=[],indicate_BT=False,indicate_chi=False,indicate_galname=False):
#view_center=True # View center as a cross
#view_orientation=True # View orientation
#view_ellipse=True # View size ellipse
#view_r12=False # View the size on the profile
#view_scale=True # View length scale
#cross_sec=0.5 # Size of the cross on the figure in arcsec
#ccolor='red' # Color of the comments on the figure
#vmin=1e-4#5.5e-2
#midpoint=0.6 # For the Grey color scale
#fontsize=20
[space_down,space_left,width,height]=spaces
if ID==[]:
for i in range(size(phibss_project)):
ID=phibss_project[i]
plot_figure(galpath,ID,gtype,view_center,view_orientation,view_ellipse,view_r12,view_scale,view_satellite,cross_sec,ccolor,vmin,midpoint,fontsize,num_figure,save_image,figsize=figsize,plot_BT=plot_BT,resize_xyl=resize_xyl,indicate_BT=indicate_BT,indicate_chi=indicate_chi,indicate_galname=indicate_galname)
plt.close('all')
else:
if gtype==[]:
for gtype in ['sersic','bulge','disk']+['composite%02.0f'%i for i in linspace(0.1,1,10)*10]:
plot_figure(galpath,ID,gtype,view_center,view_orientation,view_ellipse,view_r12,view_scale,view_satellite,cross_sec,ccolor,vmin,midpoint,fontsize,num_figure,save_image,figsize=figsize,plot_BT=plot_BT,resize_xyl=resize_xyl,indicate_BT=indicate_BT,indicate_chi=indicate_chi,indicate_galname=indicate_galname)
plt.close('all')
else:
IDsmall=ID.lower()
i=where(array(ID_list)==ID)[0][0]
galfit_output=galpath+'/'+gtype+'.fits'
# LOAD GALFIT MODEL
output_list=pyfits.open(galfit_output)
image = output_list[1]
model = output_list[2]
residual = output_list[3]
# OBTAIN THE PIXEL SCALE FROM IMAGE
pixel_deg=def_pixel_scale(image,ID) #deg
pixel_sec=pixel_deg*3600. # arcsec
try:
scale_kpc=phibss_scale[ID.upper()]
except:
print 'WARNING: NO PHIBSS_SCALE DEFINED FOR %s'%ID.upper()
scale_kpc=1
# GET THE CENTER OF THE GALAXY FROM MODEL
ncomponent=1
header=get_header_parameters(galfit_output,ncomponent)
center=header['center']
#print center
PA=header['PA']
AR=header['AR']
PA_rad=header['PA_rad']
RMAX=header['RMAX']
# OFFSET
offset=median(image.data)
# DETERMINE RADIAL PROFILES
if size(image.data.shape)==4:
image_data=image.data[0,0,:,:]-offset
radial_image=radial_profile(image_data,center)
elif size(image.data.shape)==2:
image_data=image.data-offset
radial_image=radial_profile(image_data,center)
else:
print 'ERROR: image.data.shape = ', image.data.shape
model_data=model.data-offset
radial_model=radial_profile(model_data,center)
radius=range(size(radial_image))
r12=get_r12(ID,image,model,1)/(pixel_sec*scale_kpc) # in pixels
try:
r_positive=min(where((radial_model<0.) | (radial_image<0.))[0])-1
except:
r_positive=RMAX
size_cross=cross_sec/pixel_sec # pixels
vmax=image_data.max()
# DEFINE COLOR SCALE
cmap = matplotlib.cm.get_cmap('Greys')
shifted_cmap=shift_colormap(cmap,start=0.,midpoint=midpoint,stop=1.,name='shifted')
if view_orientation:
xx=linspace(0,image.header['NAXIS1'])
ya=center[1]-1./tan(PA_rad)*(xx-center[0])
ya=image.header['NAXIS2']-ya
yb=center[1]+tan(PA_rad)*(xx-center[0])
yb=image.header['NAXIS2']-yb
if resize_xyl<>[]:
if isnan(resize_xyl[0]): resize_xyl[0]=center[0]
if isnan(resize_xyl[1]): resize_xyl[1]=image.header['NAXIS2']-center[1]
resize_xyl[2]= min(resize_xyl[2],image.header['NAXIS2'],image.header['NAXIS1'],2*resize_xyl[0],2*resize_xyl[1],2*(image.header['NAXIS1']-resize_xyl[0]),2*(image.header['NAXIS2']-resize_xyl[1]))
if isnan(resize_xyl[3]): resize_xyl[3]=6.*r12
if view_scale:
scale_dist=0.05
scale_x=scale_dist*image.header['NAXIS1']
scale_length=10./(scale_kpc*pixel_sec)/image.header['NAXIS2']
scale_y1=image.header['NAXIS2']*(1.-scale_dist)
scale_y2=image.header['NAXIS2']*(1.-scale_dist-scale_length)
if resize_xyl<>[]:
scale_x=scale_dist*resize_xyl[2]+(resize_xyl[0]-resize_xyl[2]/2)
scale_length=10./(scale_kpc*pixel_sec)/resize_xyl[2]
scale_y1=resize_xyl[2]*(1.-scale_dist)+(resize_xyl[1]-resize_xyl[2]/2)
scale_y2=resize_xyl[2]*(1.-scale_dist-scale_length)+(resize_xyl[1]-resize_xyl[2]/2)
fig, (ax1, ax2, ax3) = subplots(nrows=1, ncols=3,figsize=figsize, sharey=True,sharex=True)
# PLOT 1: IMAGE
data=image_data.copy()
data[numpy.isnan(data)]=0.
data[where(data<=0.)]=vmin
ax1.set_position([space_left,space_down, width, height])
im=ax1.imshow(flipud(data),cmap=shifted_cmap,norm=LogNorm(vmin=vmin,vmax=vmax))
ax1.set_title(r'$\rm HST$ $\rm map$',fontsize=fontsize,y=1.02)
if view_center:
ax1.annotate('', xy=(center[0],image.header['NAXIS2']-center[1]-size_cross), xycoords='data',xytext=(center[0],image.header['NAXIS2']-center[1]+size_cross), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
ax1.annotate('', xy=(center[0]-size_cross,image.header['NAXIS2']-center[1]), xycoords='data',xytext=(center[0]+size_cross,image.header['NAXIS2']-center[1]), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
#ax1.plot(center[0],image.header['NAXIS2']-center[1],'or')
ax1.axis([0,image.header['NAXIS1'],image.header['NAXIS2'],0])
if view_orientation:
ax1.plot(xx,ya,'--',color=ccolor)
ax1.plot(xx,yb,'--',color=ccolor)
if view_ellipse:
####
theta=linspace(0,2*pi,1000)
x_ellipse=r12*cos(theta)
y_ellipse=AR*r12*sin(theta)
angle=PA_rad+pi/2
x_ellipse_rot=x_ellipse*cos(angle)-y_ellipse*sin(angle)
y_ellipse_rot=x_ellipse*sin(angle)+y_ellipse*cos(angle)
#
x_ellipse=center[0]+x_ellipse
y_ellipse=center[1]+y_ellipse
x_ellipse_rot=center[0]+x_ellipse_rot
y_ellipse_rot=center[1]+y_ellipse_rot
y_ellipse=image.header['NAXIS2']-y_ellipse
y_ellipse_rot=image.header['NAXIS2']-y_ellipse_rot
#
ax1.plot(x_ellipse_rot,y_ellipse_rot,color='r')
####
# IF THERE IS A SECOND COMPONENT
try:
r12_b=get_r12(ID,image,model,2)/(pixel_sec*scale_kpc)
AR_b=get_header_parameters(galfit_output,2)['AR']
PA_rad_b=get_header_parameters(galfit_output,2)['PA_rad']
center_b=get_header_parameters(galfit_output,2)['center']
angle_b=PA_rad_b+pi/2
x_ellipse_b=r12_b*cos(theta)
y_ellipse_b=AR_b*r12_b*sin(theta)
x_ellipse_rot_b=x_ellipse_b*cos(angle_b)-y_ellipse_b*sin(angle_b)
y_ellipse_rot_b=x_ellipse_b*sin(angle_b)+y_ellipse_b*cos(angle_b)
x_ellipse_b=center_b[0]+x_ellipse_b
y_ellipse_b=center_b[1]+y_ellipse_b
x_ellipse_rot_b=center_b[0]+x_ellipse_rot_b
y_ellipse_rot_b=center_b[1]+y_ellipse_rot_b
y_ellipse_b=image.header['NAXIS2']-y_ellipse_b
y_ellipse_rot_b=image.header['NAXIS2']-y_ellipse_rot_b
#
ax1.plot(x_ellipse_rot_b,y_ellipse_rot_b,color='b',linestyle='--')
ax2.plot(x_ellipse_rot_b,y_ellipse_rot_b,color='b',linestyle='--')
ax3.plot(x_ellipse_rot_b,y_ellipse_rot_b,color='b',linestyle='--')
#print x_ellipse_rot_b,y_ellipse_rot_b
except:
print 'No second component'
if view_satellite:
if gtype in ['sersic','disk','bulge']:
nsat=2
else:
nsat=3
print "satellite"
while model.header['COMP_%i'%nsat][:4]<>'sky':
rsat=get_r12(ID,image,model,nsat)/(pixel_sec*scale_kpc) # in pixels
hsat=get_header_parameters(galfit_output,nsat)
csat=hsat['center']
PAsat=hsat['PA']
ARsat=hsat['AR']
PAsat_rad=hsat['PA_rad']
RMAXsat=hsat['RMAX']
####
thetasat=linspace(0,2*pi,1000)
x_ellipsesat=rsat*cos(thetasat)
y_ellipsesat=ARsat*rsat*sin(thetasat)
anglesat=PAsat_rad+pi/2
x_ellipse_rotsat=x_ellipsesat*cos(anglesat)-y_ellipsesat*sin(anglesat)
y_ellipse_rotsat=x_ellipsesat*sin(anglesat)+y_ellipsesat*cos(anglesat)
#
x_ellipsesat=csat[0]+x_ellipsesat
y_ellipsesat=csat[1]+y_ellipsesat
x_ellipse_rotsat=csat[0]+x_ellipse_rotsat
y_ellipse_rotsat=csat[1]+y_ellipse_rotsat
y_ellipsesat=image.header['NAXIS2']-y_ellipsesat
y_ellipse_rotsat=image.header['NAXIS2']-y_ellipse_rotsat
ax1.plot(x_ellipse_rotsat,y_ellipse_rotsat,color='g')
nsat=nsat+1
if view_scale:
ax1.axvline(scale_x,ymin=scale_dist,ymax=scale_dist+scale_length, color='k',linewidth=2)
ax1.axhline(y=scale_y1, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax1.axhline(y=scale_y2, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax1.axis([0,image.header['NAXIS1'],image.header['NAXIS2'],0])
if resize_xyl<>[]:
ax1.axis([resize_xyl[0]-resize_xyl[2]/2,resize_xyl[0]+resize_xyl[2]/2,resize_xyl[1]+resize_xyl[2]/2,resize_xyl[1]-resize_xyl[2]/2])
ax1.xaxis.set_visible(False)
ax1.yaxis.set_visible(False)
if indicate_galname:
ax1.text(-0.14, 0.,r'#%i %s'%(i+1,ID),horizontalalignment='right',verticalalignment='bottom',rotation='vertical',transform=ax1.transAxes, fontsize=30)
ax1.text(-0.05, 0.,r'%s %s'%(phibss_field[ID],phibss_ID1[ID]),horizontalalignment='right',verticalalignment='bottom',rotation='vertical',transform=ax1.transAxes, fontsize=30)
else:
ax1.text(-0.05, 0.5,ID,horizontalalignment='right',verticalalignment='center',rotation='vertical',transform=ax1.transAxes, fontsize=30)
if plot_BT:
if gtype=='sersic':
BT=nan
elif gtype=='bulge':
BT=1
elif gtype=='disk':
BT=0
else:
md=float(model.header['1_MAG'].split(' +/- ')[0].replace('*',''))
mb=float(model.header['2_MAG'].split(' +/- ')[0].replace('*',''))
BT=1./(1.+10**((mb-md)/2.5))
if indicate_BT:
ax1.text(0.05,0.92,'B/T = %.2f'%BT,horizontalalignment='left',verticalalignment='center',transform=ax1.transAxes,fontsize=fontsize)
if indicate_chi:
ax1.text(0.05,0.88,'chi2red = %.2E'%model.header['CHI2NU'],horizontalalignment='left',verticalalignment='center',transform=ax1.transAxes,fontsize=fontsize)
# PLOT 2: MODEL
data=model_data.copy()
data[numpy.isnan(data)]=0.
data[where(data<=0.)]=abs(data[where(data<>0.)]).min()
ax2.imshow(flipud(data),cmap=shifted_cmap,norm=LogNorm(vmin=vmin,vmax=vmax))
ax2.set_position([space_left+width,space_down, width, height])
ax2.set_title(r'$\rm Model$',fontsize=fontsize,y=1.02)
if view_center:
ax2.annotate('', xy=(center[0],image.header['NAXIS2']-center[1]-size_cross), xycoords='data',xytext=(center[0],image.header['NAXIS2']-center[1]+size_cross), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
ax2.annotate('', xy=(center[0]-size_cross,image.header['NAXIS2']-center[1]), xycoords='data',xytext=(center[0]+size_cross,image.header['NAXIS2']-center[1]), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
if view_orientation:
ax2.plot(xx,ya,'--',color=ccolor)
ax2.plot(xx,yb,'--',color=ccolor)
if view_ellipse:
ax2.plot(x_ellipse_rot,y_ellipse_rot,color='r')
if view_satellite:
if gtype in ['sersic','disk','bulge']:
nsat=2
else:
nsat=3
print "satellite"
while model.header['COMP_%i'%nsat][:4]<>'sky':
rsat=get_r12(ID,image,model,nsat)/(pixel_sec*scale_kpc) # in pixels
hsat=get_header_parameters(galfit_output,nsat)
csat=hsat['center']
PAsat=hsat['PA']
ARsat=hsat['AR']
PAsat_rad=hsat['PA_rad']
RMAXsat=hsat['RMAX']
####
thetasat=linspace(0,2*pi,1000)
x_ellipsesat=rsat*cos(thetasat)
y_ellipsesat=ARsat*rsat*sin(thetasat)
anglesat=PAsat_rad+pi/2
x_ellipse_rotsat=x_ellipsesat*cos(anglesat)-y_ellipsesat*sin(anglesat)
y_ellipse_rotsat=x_ellipsesat*sin(anglesat)+y_ellipsesat*cos(anglesat)
#
x_ellipsesat=csat[0]+x_ellipsesat
y_ellipsesat=csat[1]+y_ellipsesat
x_ellipse_rotsat=csat[0]+x_ellipse_rotsat
y_ellipse_rotsat=csat[1]+y_ellipse_rotsat
y_ellipsesat=image.header['NAXIS2']-y_ellipsesat
y_ellipse_rotsat=image.header['NAXIS2']-y_ellipse_rotsat
ax2.plot(x_ellipse_rotsat,y_ellipse_rotsat,color='g')
nsat=nsat+1
if view_scale:
ax2.axvline(scale_x,ymin=scale_dist,ymax=scale_dist+scale_length, color='k',linewidth=2)
ax2.axhline(y=scale_y1, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax2.axhline(y=scale_y2, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax2.xaxis.set_visible(False)
ax2.yaxis.set_visible(False)
# PLOT 3: RESIDUAL
data=residual.data.copy()
data[numpy.isnan(data)]=0.
data[where(data<=0.)]=vmin
ax3.imshow(flipud(data),cmap=shifted_cmap,norm=LogNorm(vmin=vmin,vmax=vmax))
ax3.set_position([space_left+2*width,space_down, width, height])
ax3.set_title(r'$\rm Residual$',fontsize=fontsize,y=1.02)
if view_center:
ax3.annotate('', xy=(center[0],image.header['NAXIS2']-center[1]-size_cross), xycoords='data',xytext=(center[0],image.header['NAXIS2']-center[1]+size_cross), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
ax3.annotate('', xy=(center[0]-size_cross,image.header['NAXIS2']-center[1]), xycoords='data',xytext=(center[0]+size_cross,image.header['NAXIS2']-center[1]), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
if view_orientation:
ax3.plot(xx,ya,'--',color=ccolor)
ax3.plot(xx,yb,'--',color=ccolor)
if view_ellipse:
ax3.plot(x_ellipse_rot,y_ellipse_rot,color='r')
if view_satellite:
if gtype in ['sersic','disk','bulge']:
nsat=2
else:
nsat=3
print "satellite"
while model.header['COMP_%i'%nsat][:4]<>'sky':
rsat=get_r12(ID,image,model,nsat)/(pixel_sec*scale_kpc) # in pixels
hsat=get_header_parameters(galfit_output,nsat)
csat=hsat['center']
PAsat=hsat['PA']
ARsat=hsat['AR']
PAsat_rad=hsat['PA_rad']
RMAXsat=hsat['RMAX']
####
thetasat=linspace(0,2*pi,1000)
x_ellipsesat=rsat*cos(thetasat)
y_ellipsesat=ARsat*rsat*sin(thetasat)
anglesat=PAsat_rad+pi/2
x_ellipse_rotsat=x_ellipsesat*cos(anglesat)-y_ellipsesat*sin(anglesat)
y_ellipse_rotsat=x_ellipsesat*sin(anglesat)+y_ellipsesat*cos(anglesat)
#
x_ellipsesat=csat[0]+x_ellipsesat
y_ellipsesat=csat[1]+y_ellipsesat
x_ellipse_rotsat=csat[0]+x_ellipse_rotsat
y_ellipse_rotsat=csat[1]+y_ellipse_rotsat
y_ellipsesat=image.header['NAXIS2']-y_ellipsesat
y_ellipse_rotsat=image.header['NAXIS2']-y_ellipse_rotsat
ax3.plot(x_ellipse_rotsat,y_ellipse_rotsat,color='g')
nsat=nsat+1
if view_scale:
ax3.axvline(scale_x,ymin=scale_dist,ymax=scale_dist+scale_length, color='k',linewidth=2)
ax3.axhline(y=scale_y1, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax3.axhline(y=scale_y2, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax3.xaxis.set_visible(False)
ax3.yaxis.set_visible(False)
tick_params(axis='both', labelsize=20)
# COLOR BAR
cbar_ax = fig.add_axes([space_left+3*width,space_down, 0.02, height])
fig.colorbar(im, cax=cbar_ax)
cbar_ax.set_ylabel(r'$\rm arbitrary$',fontsize=fontsize)#, rotation=270)
tick_params(labelsize=20)
# LIGHT PROFILE
profile_ax=fig.add_axes([space_left+3*width+0.1,space_down, width, height])
profile_ax.plot(array(radius)*pixel_sec*scale_kpc,radial_image,'r',linewidth=2,label=r'$\rm data$')
profile_ax.plot(array(radius)*pixel_sec*scale_kpc,radial_model,'b--',linewidth=2,label=r'$\rm model$')
if view_r12:
i_r12=interp(r12,array(radius)*pixel_sec*scale_kpc,radial_model)
profile_ax.axvline(r12,ymin=0.,ymax=(log10(i_r12)-log10(vmin))/(log10(vmax)-log10(vmin)), color='k')
profile_ax.axhline(y=i_r12, xmin=0, xmax=r12/(RMAX*pixel_sec*scale_kpc), color='k')
profile_ax.set_xlabel(r'$r$ $\rm [kpc]$',fontsize=fontsize)
if resize_xyl<>[]:
profile_ax.axis([0,min(RMAX,resize_xyl[3]/pixel_sec/scale_kpc,r_positive)*pixel_sec*scale_kpc,vmin,vmax])
else:
profile_ax.axis([0,min(RMAX,r12*6,r_positive)*pixel_sec*scale_kpc,vmin,vmax])
profile_ax.set_yscale('log')
tick_params(labelsize=20)
profile_ax.legend(loc='upper right',fontsize=fontsize-4)
profile_ax.set_title(r'$\rm Light$ $\rm profile$',fontsize=fontsize,y=1.02)
if save_image:
print 'saving file '+ID+'_'+gtype+'_model.pdf'
if save_path=='':
savefig(galpath+'/'+ID+'_'+gtype+'_model.pdf')
else:
savefig(save_path+'/'+ID+'_'+gtype+'_model.pdf')
def plot_fig_model(galfit_output,gtype=[],view_center=True,view_orientation=True,view_ellipse=False,view_r12=False,view_scale=False,view_satellite=False,cross_sec=0.5,ccolor='red',vmin=1e-4,midpoint=0.6,fontsize=20,num_figure=[],save_image=False,savefile='model.pdf',figsize=(24,6),spaces=[0.1,0.05,0.21,0.84],plot_BT=False,kpcscale=[],scale_length=10):
'''
view_center=True # View center as a cross
view_orientation=True # View orientation
view_ellipse=True # View size ellipse
view_r12=False # View the size on the profile
view_scale=True # View length scale
cross_sec=0.5 # Size of the cross on the figure in arcsec
ccolor='red' # Color of the comments on the figure
vmin=1e-4#5.5e-2
midpoint=0.6 # For the Grey color scale
fontsize=20
'''
[space_down,space_left,width,height]=spaces
if gtype==[]:
for gtype in ['sersic','bulge','disk']+['composite%02.0f'%i for i in linspace(0.1,1,10)*10]:
plot_figure(galfit_output,gtype,view_center,view_orientation,view_ellipse,view_r12,view_scale,view_satellite,cross_sec,ccolor,vmin,midpoint,fontsize,num_figure,save_image,figsize=figsize,plot_BT=plot_BT)
plt.close('all')
else:
# LOAD GALFIT MODEL
output_list=pyfits.open(galfit_output)
image = output_list[1]
model = output_list[2]
residual = output_list[3]
# OBTAIN THE PIXEL SCALE FROM IMAGE
pixel_deg=def_pixel_scale_new(image)[0] #deg
pixel_sec=pixel_deg*3600. # arcsec
if kpcscale<>[]:
scale_kpc=kpcscale
else:
print 'WARNING: kpc_scale =1'
scale_kpc=1
# GET THE CENTER OF THE GALAXY FROM MODEL
ncomponent=1
header=get_header_parameters(galfit_output,ncomponent)
center=header['center']
PA=header['PA']
AR=header['AR']
PA_rad=header['PA_rad']
RMAX=header['RMAX']
# OFFSET
offset=median(image.data)
# DETERMINE RADIAL PROFILES
if size(image.data.shape)==4:
image_data=image.data[0,0,:,:]-offset
radial_image=radial_profile(image_data,center)
elif size(image.data.shape)==2:
image_data=image.data-offset
radial_image=radial_profile(image_data,center)
else:
print 'ERROR: image.data.shape = ', image.data.shape
model_data=model.data-offset
radial_model=radial_profile(model_data,center)
radius=range(size(radial_image))
try:
r_positive=min(where((radial_model<0.) | (radial_image<0.))[0])-1
except:
r_positive=RMAX
size_cross=cross_sec/pixel_sec # pixels
vmax=image_data.max()
# DEFINE COLOR SCALE
cmap = matplotlib.cm.get_cmap('Greys')
shifted_cmap=shift_colormap(cmap,start=0.,midpoint=midpoint,stop=1.,name='shifted')
if view_orientation:
xx=linspace(0,image.header['NAXIS1'])
ya=center[1]-1./tan(PA_rad)*(xx-center[0])
ya=image.header['NAXIS2']-ya
yb=center[1]+tan(PA_rad)*(xx-center[0])
yb=image.header['NAXIS2']-yb
r12=get_r12('custom',image,model,1,scale_kpc)/(pixel_sec*scale_kpc) # in pixels
print 'r12 = ', r12, ' pixels'
if view_ellipse:
####
theta=linspace(0,2*pi,1000)
x_ellipse=r12*cos(theta)
y_ellipse=AR*r12*sin(theta)
angle=PA_rad+pi/2
x_ellipse_rot=x_ellipse*cos(angle)-y_ellipse*sin(angle)
y_ellipse_rot=x_ellipse*sin(angle)+y_ellipse*cos(angle)
#
x_ellipse=center[0]+x_ellipse
y_ellipse=center[1]+y_ellipse
x_ellipse_rot=center[0]+x_ellipse_rot
y_ellipse_rot=center[1]+y_ellipse_rot
y_ellipse=image.header['NAXIS2']-y_ellipse
y_ellipse_rot=image.header['NAXIS2']-y_ellipse_rot
if ID not in ['XA53','XE53','L14EG014']:
view_satellite=False # as there is no satellite
if view_satellite:
if gtype in ['sersic','disk','bulge']:
nsat=2
else:
nsat=3
rsat=get_r12(ID,image,model,nsat,scale_kpc)/(pixel_sec*scale_kpc) # in pixels
hsat=get_header_parameters(galfit_output,nsat)
csat=hsat['center']
PAsat=hsat['PA']
ARsat=hsat['AR']
PAsat_rad=hsat['PA_rad']
RMAXsat=hsat['RMAX']
####
thetasat=linspace(0,2*pi,1000)
x_ellipsesat=rsat*cos(thetasat)
y_ellipsesat=ARsat*rsat*sin(thetasat)
anglesat=PAsat_rad+pi/2
x_ellipse_rotsat=x_ellipsesat*cos(anglesat)-y_ellipsesat*sin(anglesat)
y_ellipse_rotsat=x_ellipsesat*sin(anglesat)+y_ellipsesat*cos(anglesat)
#
x_ellipsesat=csat[0]+x_ellipsesat
y_ellipsesat=csat[1]+y_ellipsesat
x_ellipse_rotsat=csat[0]+x_ellipse_rotsat
y_ellipse_rotsat=csat[1]+y_ellipse_rotsat
y_ellipsesat=image.header['NAXIS2']-y_ellipsesat
y_ellipse_rotsat=image.header['NAXIS2']-y_ellipse_rotsat
if view_scale:
#scale_length=10.#kpc
scale_dist=0.05
scale_x=scale_dist*image.header['NAXIS1']
scale_length=scale_length/(scale_kpc*pixel_sec)/image.header['NAXIS2']
scale_y1=image.header['NAXIS2']*(1.-scale_dist)
scale_y2=image.header['NAXIS2']*(1.-scale_dist-scale_length)
if num_figure<>[]:
fig=figure(num_figure)
else:
fig=figure()
fig, (ax1, ax2, ax3) = subplots(nrows=1, ncols=3,figsize=figsize, sharey=True,sharex=True)
# PLOT 1: IMAGE
data=image_data.copy()
data[numpy.isnan(data)]=0.
data[where(data<=0.)]=vmin
ax1.set_position([space_left,space_down, width, height])
im=ax1.imshow(flipud(data),cmap=shifted_cmap,norm=LogNorm(vmin=vmin,vmax=vmax))
if view_center:
ax1.annotate('', xy=(center[0],image.header['NAXIS2']-center[1]-size_cross), xycoords='data',xytext=(center[0],image.header['NAXIS2']-center[1]+size_cross), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
ax1.annotate('', xy=(center[0]-size_cross,image.header['NAXIS2']-center[1]), xycoords='data',xytext=(center[0]+size_cross,image.header['NAXIS2']-center[1]), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
ax1.axis([0,image.header['NAXIS1'],image.header['NAXIS2'],0])
if view_orientation:
ax1.plot(xx,ya,'--',color=ccolor)
ax1.plot(xx,yb,'--',color=ccolor)
ax1.axis([0,image.header['NAXIS1'],image.header['NAXIS2'],0])
if view_ellipse:
ax1.plot(x_ellipse_rot,y_ellipse_rot,color='r')
if view_satellite:
ax1.plot(x_ellipse_rotsat,y_ellipse_rotsat,color='g')
if view_scale:
ax1.axvline(scale_x,ymin=scale_dist,ymax=scale_dist+scale_length, color='k',linewidth=2)
ax1.axhline(y=scale_y1, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax1.axhline(y=scale_y2, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax1.xaxis.set_visible(False)
ax1.yaxis.set_visible(False)
ax1.text(0.03,0.92,r'$\rm HST map$',fontsize=fontsize+4,fontweight='bold',transform=ax1.transAxes)
if plot_BT:
if gtype=='sersic':
BT=nan
elif gtype=='bulge':
BT=1
elif gtype=='disk':
BT=0
else:
md=float(model.header['1_MAG'].split(' +/- ')[0])
mb=float(model.header['2_MAG'].split(' +/- ')[0])
BT=1./(1.+10**((mb-md)/2.5))
ax1.text(0.05,0.95,'B/T = %.2f'%BT,horizontalalignment='left',verticalalignment='center',transform=ax2.transAxes,fontsize=fontsize+4)
# PLOT 2: MODEL
data=model_data.copy()
data[numpy.isnan(data)]=0.
data[where(data<=0.)]=abs(data[where(data<>0.)]).min()
ax2.imshow(flipud(data),cmap=shifted_cmap,norm=LogNorm(vmin=vmin,vmax=vmax))
ax2.set_position([space_left+width,space_down, width, height])
if view_center:
ax2.annotate('', xy=(center[0],image.header['NAXIS2']-center[1]-size_cross), xycoords='data',xytext=(center[0],image.header['NAXIS2']-center[1]+size_cross), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
ax2.annotate('', xy=(center[0]-size_cross,image.header['NAXIS2']-center[1]), xycoords='data',xytext=(center[0]+size_cross,image.header['NAXIS2']-center[1]), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
if view_orientation:
ax2.plot(xx,ya,'--',color=ccolor)
ax2.plot(xx,yb,'--',color=ccolor)
if view_ellipse:
ax2.plot(x_ellipse_rot,y_ellipse_rot,color='r')
if view_satellite:
ax2.plot(x_ellipse_rotsat,y_ellipse_rotsat,color='g')
if view_scale:
ax2.axvline(scale_x,ymin=scale_dist,ymax=scale_dist+scale_length, color='k',linewidth=2)
ax2.axhline(y=scale_y1, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax2.axhline(y=scale_y2, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax2.xaxis.set_visible(False)
ax2.yaxis.set_visible(False)
ax2.text(0.03,0.92,r'$\rm Model$',fontsize=fontsize+4,fontweight='bold',transform=ax2.transAxes)
# PLOT 3: RESIDUAL
data=residual.data.copy()
data[numpy.isnan(data)]=0.
data[where(data<=0.)]=vmin
ax3.imshow(flipud(data),cmap=shifted_cmap,norm=LogNorm(vmin=vmin,vmax=vmax))
ax3.set_position([space_left+2*width,space_down, width, height])
if view_center:
ax3.annotate('', xy=(center[0],image.header['NAXIS2']-center[1]-size_cross), xycoords='data',xytext=(center[0],image.header['NAXIS2']-center[1]+size_cross), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
ax3.annotate('', xy=(center[0]-size_cross,image.header['NAXIS2']-center[1]), xycoords='data',xytext=(center[0]+size_cross,image.header['NAXIS2']-center[1]), textcoords='data',arrowprops=dict(arrowstyle='-',color=ccolor,linewidth=0.5))
if view_orientation:
ax3.plot(xx,ya,'--',color=ccolor)
ax3.plot(xx,yb,'--',color=ccolor)
if view_ellipse:
ax3.plot(x_ellipse_rot,y_ellipse_rot,color='r')
if view_satellite:
ax3.plot(x_ellipse_rotsat,y_ellipse_rotsat,color='g')
if view_scale:
ax3.axvline(scale_x,ymin=scale_dist,ymax=scale_dist+scale_length, color='k',linewidth=2)
ax3.axhline(y=scale_y1, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax3.axhline(y=scale_y2, xmin=scale_dist-0.01, xmax=scale_dist+0.01, color='k',linewidth=2)
ax3.xaxis.set_visible(False)
ax3.yaxis.set_visible(False)
ax3.text(0.03,0.92,r'$\rm Residuals$',fontsize=fontsize+4,fontweight='bold',transform=ax3.transAxes)
# COLOR BAR
cbar_ax = fig.add_axes([space_left+3*width,space_down, 0.02, height])
fig.colorbar(im, cax=cbar_ax)
cbar_ax.set_ylabel(r'arbitrary',fontsize=fontsize)#, rotation=270)
# LIGHT PROFILE
profile_ax=fig.add_axes([space_left+3*width+0.08,space_down, width, height])
profile_ax.plot(array(radius)*pixel_sec*scale_kpc,radial_image,'r',linewidth=2,label=r'data')
profile_ax.plot(array(radius)*pixel_sec*scale_kpc,radial_model,'b--',linewidth=2,label=r'model')
if view_r12:
i_r12=interp(r12,array(radius)*pixel_sec*scale_kpc,radial_model)
profile_ax.axvline(r12,ymin=0.,ymax=(log10(i_r12)-log10(vmin))/(log10(vmax)-log10(vmin)), color='k')
profile_ax.axhline(y=i_r12, xmin=0, xmax=r12/(RMAX*pixel_sec*scale_kpc), color='k')
profile_ax.set_xlabel(r'$r$ $\rm [kpc]$',fontsize=fontsize+4)
profile_ax.axis([0,min(RMAX,r12*6,r_positive)*pixel_sec*scale_kpc,vmin,vmax])
profile_ax.set_yscale('log')
profile_ax.legend(loc='upper right',fontsize=fontsize)
profile_ax.text(0.03,0.92,r'$\rm Light$ $\rm profile$',fontsize=fontsize+4,fontweight='bold',transform=profile_ax.transAxes)
if save_image:
savefig(savefile)