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#!/usr/bin/env python
import sys
import numpy
import scipy.interpolate
confidence_level=.68
def read_file(param):
delta=float(param[0])
file_mass_center=open("mass_int_center.qdp").readlines();
file_delta_center=open("overdensity_center.qdp").readlines();
center_r=0
center_m=0
center_gm=0
center_gf=0
for i in range(0,len(file_mass_center)):
lm=file_mass_center[i].strip();
ld=file_delta_center[i].strip();
r,m=lm.split()
r,d=ld.split()
r=float(r)
d=float(d)
m=float(m)
if m<1e11:
continue
if d<delta:
center_r=r
center_m=m
for j in open("gas_mass_int_center.qdp"):
rgm,gm=j.strip().split()
rgm=float(rgm)
gm=float(gm)
if rgm>r:
center_gm=gm
center_gf=gm/m
break
break
if len(param)>1 and param[1]=='c':
#print("%s(<r%d)=%E solar mass"%("mass",delta,center_m))
#print("%s%d=%E kpc"%("r",delta,center_r))
#print("%s(<r%d)=%E solar mass"%("gas mass",delta,center_gm))
#print("%s(<r%d)=%E"%("gas fraction",delta,center_gf))
return center_m,center_r,center_gm,center_gf,None,None,None,None
#print(center_gm,center_gf)
file_mass=open('summary_mass_profile.qdp').readlines()
file_delta=open('summary_overdensity.qdp').readlines()
file_gm=open('summary_gas_mass_profile.qdp')
flag=True
rlist=[]
mlist=[]
gmlist=[]
gflist=[]
old_m=0
invalid_count=0
for i in range(0,len(file_mass)):
lm=file_mass[i].strip()
ld=file_delta[i].strip()
if lm[0]=='n':
flag=True
old_m=0
continue
if not flag:
continue
r,m=lm.split()
m=float(m)
if m<1e12:
continue
if m<old_m:
invalid_count+=1
flag=False
continue
r,d=ld.split()
d=float(d)
r=float(r)
if d<delta:
#print("%s %e"%(d,m))
mlist.append(m)
rlist.append(r)
flag1=True
while True:
lgm=file_gm.readline().strip()
if lgm[0]=='n':
break
rgm,gm=lgm.split()
rgm=float(rgm)
gm=float(gm)
if rgm>r and flag1:
gmlist.append(gm)
flag1=False
gflist.append(gm/mlist[-1])
#print(gm,gflist[-1])
flag=False
old_m=m
print("%d abnormal data dropped"%(invalid_count))
return center_m,center_r,center_gm,center_gf,mlist,rlist,gmlist,gflist
#center_m=numpy.mean(mlist)
#center_r=numpy.mean(rlist)
if len(sys.argv)>1:
center_m2500,center_r2500,center_gm2500,center_gf2500,mlist2500,rlist2500,gmlist2500,gflist2500=read_file([2500,sys.argv[1]])
center_m500,center_r500,center_gm500,center_gf500,mlist500,rlist500,gmlist500,gflist500=read_file([500,sys.argv[1]])
else:
center_m2500,center_r2500,center_gm2500,center_gf2500,mlist2500,rlist2500,gmlist2500,gflist2500=read_file([2500])
center_m500,center_r500,center_gm500,center_gf500,mlist500,rlist500,gmlist500,gflist500=read_file([500])
if mlist2500!=None and len(mlist2500)!=len(mlist500):
raise Exception("Something wrong, the number of 2500 and 500 data are different")
if mlist2500==None:
print("gas fraction between r2500 and r500 is %E"%((center_gm500-center_gm2500)/(center_m500-center_m2500)))
sys.exit(0)
gf_2500_500=[]
for i in range(0,len(mlist500)):
if mlist500[i]-mlist2500[i]<=0:
continue
gf_2500_500.append((gmlist500[i]-gmlist2500[i])/(mlist500[i]-mlist2500[i]))
gf_2500_500.sort();
center_gf_2500_500=(center_gm500-center_gm2500)/(center_m500-center_m2500)
gf_idx=-1
for i in range(len(gf_2500_500)-1):
if (center_gf_2500_500-gf_2500_500[i])*(center_gf_2500_500-gf_2500_500[i+1])<=0:
gf_idx=i
break
if gf_idx==-1:
raise Exception("Something wrong!")
gflidx=int(gf_idx*(1-confidence_level))
gfuidx=gf_idx-1+int((len(gf_2500_500)-gf_idx)*confidence_level)
gferr1=gf_2500_500[gflidx]-center_gf_2500_500
gferr2=gf_2500_500[gfuidx]-center_gf_2500_500
print("gas_fraction between r2500 and r500=\t%e\t %e/+%e (1 sigma)"%(center_gf_2500_500,gferr1,gferr2))
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