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ellipse.py
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import numpy as np
import scipy
import scipy.stats
import scipy.interpolate
import pylab as plt
import os
import logging
from pyraf import iraf
import warnings
class pixel_maps:
def __init__(self,filters,mask_file,names,fit_box,box_opt,data_dir,suff_mask):
self.id_mask=scipy.genfromtxt(mask_file,comments='#',usecols=0,dtype='S')
self.n_mask=scipy.genfromtxt(mask_file,comments='#',usecols=2).astype(int)
self.mask_file=mask_file
self.filters=filters
self.names=names
self.box_opt=box_opt
self.data_dir=data_dir
if self.box_opt==1:
self.box_tmp=str(int(fit_box)+1)
if self.box_opt==2:
self.box_tmp_dic=fit_box
self.suff_mask=suff_mask
def mask(self):
for k in self.filters:
for i in np.arange(0,len(self.id_mask),1):
iraf.fields.lines=str(i+2)
if self.n_mask[i]>0:
temp=self.n_mask[i]
j=0
while temp!=0:
if self.box_opt==1:
self.fit_box=self.box_tmp
if self.box_opt==2:
self.fit_box=str(int(self.box_tmp_dic[k][:,1][self.box_tmp_dic[k][:,0]==self.id_mask[i]][0])+1)
x_mask=iraf.fields(self.mask_file,str(int(4+3*j)),Stdout=1)
y_mask=iraf.fields(self.mask_file,str(int(5+3*j)),Stdout=1)
z_mask=iraf.fields(self.mask_file,str(int(6+3*j)),Stdout=1)
r_mask=float(z_mask[0])/2.0
expr='(sqrt((I-'+str(x_mask[0])+')**2+(J-'+str(y_mask[0])+')**2)<='+str(r_mask)+')'
if self.n_mask[i]==1:
iraf.imexpr(expr,os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_mask[i])+self.suff_mask+'.pl'),dims=self.fit_box+','+self.fit_box)
else:
iraf.imexpr(expr,'temp'+str(self.id_mask[i])+'.'+str(j+1)+'.pl',dims=self.fit_box+','+self.fit_box)
if temp==self.n_mask[i]:
iraf.imcopy.verbose='no'
iraf.imcopy('temp'+str(self.id_mask[i])+'.'+str(j+1)+'.pl','salida_temp_1.pl')
iraf.imdelete('temp'+str(self.id_mask[i])+'.'+str(j+1)+'.pl')
if temp<self.n_mask[i]:
s1='temp'+str(self.id_mask[i])+'.'+str(j+1)+'.pl'
s2="salida_temp_1.pl"
iraf.imexpr.dims=self.fit_box+','+self.fit_box
iraf.imexpr('a+b','salida_temp_2.pl','temp'+str(self.id_mask[i])+'.'+str(j+1)+'.pl','salida_temp_1.pl')
iraf.imdelete(s1)
iraf.imdelete(s2)
iraf.imcopy('salida_temp_2.pl',s2)
iraf.imdelete('salida_temp_2.pl')
if temp-1==0:
iraf.imcopy(s2,os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_mask[i])+self.suff_mask+'.pl'))
iraf.imdelete(s2)
j=j+1
temp=temp-1
class ellipse:
def __init__(self,filters,opt_ellip,names,id_list,mag_zero,fit_box,ellip_f,instat_dic,coord_file,suff,data_dir):
self.filters=filters
self.opt_ellip=opt_ellip
self.names=names
self.suff=suff
self.suff2=suff[:-1]
self.id_list=id_list
self.mag_zero=mag_zero
self.fit_box=fit_box
self.instat_dic=instat_dic
self.data_dir=data_dir
iraf.imcopy.verbose='no'
if (self.opt_ellip==1):
self.id_coor=coord_file[:,0]
self.x0=np.round(coord_file[:,1].astype(float)).astype(int)
self.y0=np.round(coord_file[:,2].astype(float)).astype(int)
self.ellip_f=ellip_f
if (self.opt_ellip==3) or (self.opt_ellip==4):
self.ellipse_data=coord_file
self.list_file=open(os.path.join(self.data_dir,'intensity_prof_info.dat'),'w')
self.list_file.write('#Filter\t list_file\n')
if (self.opt_ellip==5):
self.ellipse_data={}
self.ellipse_data=ellip_f
self.list_file=open(os.path.join(self.data_dir,'psf_profiles_info.dat'),'w')
self.list_file.write('#Filter\t file\n')
def task_ellip(self):
ellip_dic={}
rfit_dic={}
error_log=open('nprofit.log','a')
logging.basicConfig(filename = 'nprofit.log', level = logging.DEBUG)
logger=logging.getLogger(__name__)
for k in self.filters:
if self.opt_ellip==1:
id_ellip=np.array([])
ellip_array=np.array([])
pa_array=np.array([])
ellip_file=open('ellip_'+k+'.dat','w')
ellip_file.write('#ID\t ELLIP\t P.A.\n')
if ((self.opt_ellip==3) or (self.opt_ellip==4)) or (self.opt_ellip==5):
sma_array=np.array([])
intens_array=np.array([])
int_err_array=np.array([])
npix_array=np.array([])
if (self.opt_ellip==3) or (self.opt_ellip==4):
list_intens_prof=open(os.path.join(self.data_dir,'list_intens_profiles_'+k+'.dat'),'w')
self.list_file.write(k+'\t list_intens_profiles_'+k+'.dat\n')
for i in np.arange(0,len(self.id_list),1):
iraf.stsdas(_doprint=0)
iraf.analysis(_doprint=0)
iraf.isophote(_doprint=0)
if (self.opt_ellip==1):
if np.size(self.instat_dic[k])<=3:
bg_value=self.instat_dic[k][1][0]
rms_value=self.instat_dic[k][2][0]
else:
bg_value=self.instat_dic[k][:,1][self.instat_dic[k][:,0]==self.id_list[i]]
rms_value=self.instat_dic[k][:,2][self.instat_dic[k][:,0]==self.id_list[i]]
try:
iraf.imcopy(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff),os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2))
h_flag=0
except iraf.IrafError,iraf_err:
iraf.imcopy(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff+'[1]'),os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2))
h_flag=1
e_0=0.05
pa_0=5.0
hcenter='yes'
hellip='no'
hpa='no'
recente='no'
minsma=1.
suff_ellip='.fit'
if (self.opt_ellip==3) or (self.opt_ellip==4):
if os.path.exists(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2))==False:
try:
h_flag=0
iraf.imcopy(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff),os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2))
except iraf.IrafError,iraf_err:
iraf.imcopy(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff+'[1]'),os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2))
h_flag=1
hcenter='yes'
hellip='yes'
hpa='yes'
minsma=0.
linear='yes'
suff_ellip=self.suff2
if (self.opt_ellip==5):
h_flag=0
if os.path.exists(os.path.join(self.data_dir,self.names[k]+self.suff))==False:
try:
iraf.imcopy(self.names[k]+self.suff,os.path.join(self.data_dir,self.names[k]+self.suff))
h_flag=0
except iraf.IrafError,iraf_err:
iraf.imcopy(self.names[k]+self.suff+'[1]',os.path.join(self.data_dir,self.names[k]+self.suff))
h_flag=1
if (h_flag==1):
hselect_out=iraf.hselect(os.path.join(self.data_dir,self.names[k]+self.suff+'[1]'),"NAXIS1 NAXIS2",'yes',Stdout=2)
else:
hselect_out=iraf.hselect(os.path.join(self.data_dir,self.names[k]+self.suff),"NAXIS1 NAXIS2",'yes',Stdout=2)
if (self.opt_ellip==3) or (self.opt_ellip==4):
h_flag=0
mask_eo=self.ellipse_data[k][:,0]==self.id_list[i]
e_0=float(self.ellipse_data[k][:,3][mask_eo][0])
pa_0=float(self.ellipse_data[k][:,4][mask_eo][0])
if pa_0<-90.:
pa_0=-90.
if pa_0>90.:
pa_0=90.
if (self.opt_ellip==1) or ((self.opt_ellip==3) or (self.opt_ellip==4)):
if (h_flag==1):
hselect_out=iraf.hselect(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff+'[1]'),"NAXIS1 NAXIS2 EXPTIME",'yes',Stdout=2)
else:
hselect_out=iraf.hselect(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff),"NAXIS1 NAXIS2 EXPTIME",'yes',Stdout=2)
if hselect_out==[]:
hselect_out=iraf.hselect(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff+'[0]'),"NAXIS1 NAXIS2 EXPTIME",'yes',Stdout=2)
try:
self.texp=str(hselect_out[0]).split()[2]
except:
self.texp='1'
x0=str(int(str(hselect_out[0]).split()[0])/2+1)
y0=str(int(str(hselect_out[0]).split()[1])/2+1)
if (self.opt_ellip==1):
maxsma=x0
linear='no'
step=0.1
if ((self.opt_ellip==3) or (self.opt_ellip==4)):
maxsma=x0
linear='yes'
step=1.0
minsma=0.
mag0=self.mag_zero[k][0]
olthresh=0
sma0=5.
verbose='no'
flag_err=False
len_arr=-99
try:
if (self.opt_ellip==1) or ((self.opt_ellip==3) or (self.opt_ellip==4)):
mask_name=os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2).split('.fit')[0]+'.pl'
if (os.path.exists(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+'.pl'))==True) and (os.path.exists(mask_name)==False):
iraf.imcopy(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+'.pl'),mask_name)
iraf.ellipse(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2),os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab'),x0=x0,y0=y0,ellip0=e_0,pa0=pa_0,sma0=sma0,minsma=minsma,maxsma=maxsma,step=step,linear=linear,hcenter=hcenter,hellip=hellip,hpa=hpa,olthresh=olthresh,mag0=mag0,verbose=verbose)
if self.opt_ellip==5:
e_0=0.05
pa_0=20.
sma0=5.
minsma=0.
maxsma=x0
step=0.5
linear='yes'
hcenter='yes'
hellip='yes'
hpa='yes'
mag0=self.mag_zero[k][0]
verbose='no'
iraf.ellipse(os.path.join(self.data_dir,self.names[k]+self.suff),os.path.join(self.data_dir,self.names[k]+'.tab'),x0=x0,y0=y0,ellip0=e_0,pa0=pa_0,sma0=sma0,minsma=minsma,maxsma=maxsma,step=step,linear=linear,hcenter=hcenter,hellip=hellip,hpa=hpa,olthresh=olthresh,mag0=mag0,verbose=verbose)
except iraf.IrafError, iraf_err:
error_str=str(self.id_list[i])+' filter '+k
logger.error('error was caught in object %s',error_str)
logger.error(iraf_err)
flag_err=True
if flag_err==False:
if (self.opt_ellip==1) or ((self.opt_ellip==3) or (self.opt_ellip==4)):
len_arr=int(iraf.tinfo(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab'),Stdout=1)[1].split('rows written to table')[0])
if self.opt_ellip==5:
len_arr=int(iraf.tinfo(os.path.join(self.data_dir,self.names[k]+'.tab'),Stdout=1)[1].split('rows written to table')[0])
if (flag_err==True) | ((len_arr<=1) & (len_arr!=-99)):
if self.opt_ellip==1:
iraf.delete(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab'))
iraf.delete(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff2))
suff_ellip=self.suff
try:
iraf.ellipse(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+suff_ellip),os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab'),x0=x0,y0=y0,ellip0=e_0,pa0=pa_0,sma0=sma0,minsma=minsma,maxsma=maxsma,step=step,linear=linear,hcenter=hcenter,hellip=hellip,hpa=hpa,olthresh=olthresh,mag0=mag0)
except iraf.IrafError, iraf_err:
iraf.ellipse(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+suff_ellip+'[1]'),os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab'))
len_arr=int(iraf.tinfo(os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab'),Stdout=1)[1].split('rows written to table')[0])
if (self.opt_ellip==1):
tab_name=os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab')
if (os.path.exists(tab_name)==True):
iraf.tprint.rows='1-'+str(len_arr)
sky_thres=float(rms_value[0])
iraf.tprint.showro='no'
iraf.tprint.showhdr='no'
iraf.tprint.columns="SMA"
sma_tab=iraf.tprint(tab_name,Stdout=1)
sma_interp=np.array(sma_tab).astype(float)
iraf.tprint.columns="INTENS"
intens_tab=iraf.tprint(tab_name,Stdout=1)
intens_interp=np.array(intens_tab).astype(float)
id_ellip=np.append(id_ellip,self.id_list[i])
if self.opt_ellip==1:
if (os.path.exists(tab_name)==True):
iraf.tprint.columns="ELLIP"
ellip_tab=iraf.tprint(tab_name,Stdout=1)
ellip_interp=np.array(ellip_tab).astype(float)
iraf.tprint.columns="PA"
pa_tab=iraf.tprint(tab_name,Stdout=1)
pa_interp=np.array(pa_tab).astype(float)
grad_vec=np.ones(len_arr)*99
for l in np.arange(0,len_arr-5,1):
grad_vec[l]=abs(scipy.stats.linregress(sma_interp[l:l+5],ellip_interp[l:l+5])[0])
grad_vec[grad_vec==0.]=99
mask_grad=grad_vec==np.min(grad_vec)
ellip_out=ellip_interp[mask_grad][0]
pa_out=pa_interp[mask_grad][0]
if ellip_out<0.05:
ellip_out=0.05
if pa_out<-90.:
pa_out=-90.
if pa_out>90.:
pa_out=90.
ellip_array=np.append(ellip_array,ellip_out)
pa_array=np.append(pa_array,pa_out)
os.system('mv '+tab_name+' '+os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-5]+'_calc_ellip.tab'))
if ((self.opt_ellip==3) or (self.opt_ellip==4)) or (self.opt_ellip==5):
if (self.opt_ellip==3) or (self.opt_ellip==4):
image_name=os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'tab')
data_file_name=os.path.join(self.data_dir,self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'dat')
if self.opt_ellip==5:
image_name=os.path.join(self.data_dir,self.names[k]+'.tab')
data_file_name=os.path.join(self.data_dir,self.names[k]+'.dat')
if os.path.exists(image_name)==True:
iraf.tprint.rows='1-'+str(len_arr)
iraf.tprint.showro='no'
iraf.tprint.showhdr='no'
iraf.tprint.columns="SMA"
sma_tmp=iraf.tprint(image_name,Stdout=1)
sma_array=np.array(sma_tmp).astype(float)
iraf.tprint.columns="INTENS"
intens_tmp=iraf.tprint(image_name,Stdout=1)
iraf.tprint.columns="INT_ERR"
int_err_tmp=iraf.tprint(image_name,Stdout=1)
iraf.tprint.columns="NPIX_E"
npix_tmp=iraf.tprint(image_name,Stdout=1)
index=[m for m, e in enumerate(intens_tmp) if 'INDEF' in e]
index2=[m for m, e in enumerate(int_err_tmp) if 'INDEF' in e]
index3=[m for m, e in enumerate(npix_tmp) if 'INDEF' in e]
len_indef=len(index)
len_indef2=len(index2)
len_indef3=len(index3)
if (len_indef>=1):
for m in np.arange(0,len_indef,1):
intens_tmp[m]=0
if (len_indef2>=1):
for m in np.arange(0,len_indef2,1):
int_err_tmp[m]=0.
if (len_indef3>=1):
for m in np.arange(0,len_indef3,1):
npix_tmp[m]=1.
intens_array=np.array(intens_tmp).astype(float)
int_err_array=np.array(int_err_tmp).astype(float)
npix_array=np.array(npix_tmp).astype(float)
ellipse_out=open(data_file_name,'w')
ellipse_out.write('#SMA\t INTENS\t INT_ERR\t NPIX\n')
np.savetxt(ellipse_out,np.array([sma_array,intens_array,int_err_array,npix_array]).T,fmt='%14.5f %14.5f %14.5f %10i')
ellipse_out.close()
if (self.opt_ellip==3) or (self.opt_ellip==4):
list_intens_prof.write(str(self.id_list[i])+'\t'+self.names[k]+'_'+str(self.id_list[i])+self.suff[:-4]+'dat\n')
if self.opt_ellip==5:
self.list_file.write(k+'\t'+self.names[k]+self.suff[:-4]+'dat\n')
if self.opt_ellip==2:
rfit_dic[k]=np.array([id_ellip,rfit_array,reff_array]).T
fit_opt=np.ones(len(id_ellip)).astype(int).astype(str)
np.savetxt(analysis_file,np.array(zip(id_ellip,x0_array,y0_array,rfit_array,reff_array,pa_array,ellip_array,fit_opt),dtype=[('id_ellip','S16'),('x0_array',int),('y0_array',int),('rfit_array',float),('reff_array',float),('pa_array',float),('ellip_array',float),('fit_opt','S16')]),fmt="%10s %10d %10i %9.5f %9.5f %9.5f %9.5f %4s")
if self.opt_ellip==1:
ellip_dic[k]=np.array([id_ellip,ellip_array,pa_array]).T
np.savetxt(ellip_file,np.array(zip(id_ellip,ellip_array,pa_array),dtype=[('id_ellip','S16'),('ellip_array',float),('pa_array',float)]),fmt="%10s %9.5f %9.5f")
if self.opt_ellip==1:
return ellip_dic
if (self.opt_ellip==3) or (self.opt_ellip==4):
self.list_file.close()
if self.opt_ellip==5:
self.list_file.close()
class fitting_radius:
def __init__(self,names,data_dir,sky_dic,scale,opt_moff,opt_king,opt_wilson,lib_path):
self.names=names
self.data_dir=data_dir
self.sky_dic=sky_dic
self.scale=scale
self.list=np.genfromtxt(os.path.join(self.data_dir,'intensity_prof_info.dat'),comments='#',dtype=str)
self.list_psf=np.genfromtxt(os.path.join(self.data_dir,'psf_profiles_info.dat'),comments='#',dtype=str)
self.lib_path=lib_path
os.system('mkdir '+data_dir+'/rfit_plots')
if np.size(self.list)==2:
self.list=np.array([self.list])
self.list_psf=np.array([self.list_psf])
for i in np.arange(0,len(self.list[:,0]),1):
rfit_file=open(data_dir+'/rfit_plots/rfit_data_'+self.list[i,0],'w')
rfit_file.write('#ID\t Rip\t R3s\n')
self.prof_list=np.genfromtxt(os.path.join(self.data_dir,self.list[i,1]),comments='#',dtype='S')
if self.prof_list.size==2:
self.prof_list=np.array([self.prof_list])
ids=self.prof_list[:,0]
files=self.prof_list[:,1]
psf_file=self.list_psf[:,1][self.list_psf[:,0]==self.list[i,0]][0]
psf_data=np.genfromtxt(os.path.join(self.data_dir,psf_file),comments='#')
sma_psf=psf_data[:,0]*self.scale[self.list[i,0]]
intens_psf=psf_data[:,1]
psf_name=psf_file.split('.dat')[0]+'_file.dat'
psf_path=os.path.join(self.data_dir,psf_name)
np.savetxt(psf_path,np.array([sma_psf,intens_psf]).T,fmt='%9.3f %9.2e')
for j in np.arange(0,len(ids),1):
data=scipy.genfromtxt(os.path.join(self.data_dir,files[j]),comments='#')
if np.size(sky_dic[self.list[i,0]])<=3:
sky_rms=np.float(sky_dic[self.list[i,0]][2][0])
else:
mask_sky=sky_dic[self.list[i,0]][:,0]==ids[j]
sky_rms=np.float(sky_dic[self.list[i,0]][mask_sky,2][0])
resta_rfit=data[:,1]-np.float(sky_rms)
if len(resta_rfit[resta_rfit<0])>0:
mask_rfit=resta_rfit[resta_rfit<0][0]
rfit_index=np.where(resta_rfit==mask_rfit)[0][0]-1
else:
rfit_index=len(data[:,1])-1
r3s=data[rfit_index,0]*self.scale[self.list[i,0]]
t3=0
m3=1
m_ant=0.
while t3==0:
if m3<len(data[:,1])-2:
pend=(data[m3+2,1]-data[m3,1])/(data[m3+2,0]-data[m3,0])
if (data[m3,0]>5.):
if (m_ant<=pend) and (pend<0.):
m3=m3+1
m_ant=pend
t3=0
else:
m_ant=pend
t3=1
else:
m_ant=pend
m3=m3+1
t3=0
if m3==len(data[:,1])-2:
m3=len(data[:,1])-1
t3=1
rip=data[:,0][m3]*self.scale[self.list[i,0]]
sma=data[:,0]*self.scale[self.list[i,0]]
im_size=np.int(np.round(sma[-1]*2+1))
intens=data[:,1]
int_err=data[:,2]
npix=data[:,3]
rfit=np.min([r3s,rip])
plt.figure(1,(8,8))
plt.plot(sma[1:],intens[1:],'ko')
plt.axvline(r3s,label='r3s',color='yellow')
plt.axvline(rip,label='rip',color='red')
plt.gca().set_xscale('log')
plt.legend(loc=0)
tmp_name=self.list[i,0]+'_'+ids[j]
file_name='object_'+tmp_name
rfit_file.write(ids[j]+'\t'+str('%7.4f\t' %(rip))+str('%7.4f\n' %(r3s)))
plt.savefig(os.path.join(data_dir,'rfit_plots/'+file_name+'.png'))
plt.close()
np.savetxt(os.path.join(data_dir,file_name+'.dat'),np.array([sma,intens,int_err,npix]).T,fmt='%9.2f %9.3f %9.4f %10d')
if opt_moff==1:
file_moffat='moffat_input_'+file_name+'.dat'
moffat_file=open(os.path.join(self.data_dir,file_moffat),'w')
moffat_file.write(str('%d\n' %(im_size)))
moffat_file.write('0\n')
moffat_file.write(psf_name+'\n')
moffat_file.write(file_name+'.dat\n')
moffat_file.write(str('%f\n' %(sky_rms)))
moffat_file.write(str('%f\n' %(rfit)))
moffat_file.write(tmp_name+'\n')
moffat_file.write(self.lib_path+'\n')
moffat_file.close()
if opt_king==1:
file_king='king_input_'+file_name+'.dat'
king_file=open(os.path.join(self.data_dir,file_king),'w')
king_file.write(str('%d\n' %(im_size)))
king_file.write('1\n')
king_file.write(psf_name+'\n')
king_file.write(file_name+'.dat\n')
king_file.write(str('%f\n' %(sky_rms)))
king_file.write(str('%f\n' %(rfit)))
king_file.write(tmp_name+'\n')
king_file.write(self.lib_path+'\n')
king_file.close()
if opt_wilson==1:
file_wilson='wilson_input_'+file_name+'.dat'
wilson_file=open(os.path.join(self.data_dir,file_wilson),'w')
wilson_file.write(str('%d\n' %(im_size)))
wilson_file.write('2\n')
wilson_file.write(psf_name+'\n')
wilson_file.write(file_name+'.dat\n')
wilson_file.write(str('%f\n' %(sky_rms)))
wilson_file.write(str('%f\n' %(rfit)))
wilson_file.write(tmp_name+'\n')
wilson_file.write(self.lib_path+'\n')
wilson_file.close()
rfit_file.close()
class psf_data:
def __init__(self,filters,input_file,data_dir):
self.filters=filters
self.input_file=input_file
self.data_dir=data_dir
self.psf_dic={}
self.psf_info=scipy.genfromtxt(self.input_file[0],dtype='S',comments='#',usecols=0)
self.psf_list=scipy.genfromtxt(self.input_file[0],dtype='S',comments='#',usecols=6)
def psf_arrange(self):
for k in self.filters:
self.psf_dic[k]=self.psf_list[self.psf_info==k][0]
return self.psf_dic