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eboss_elgtools.py
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eboss_elgtools.py
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from math import *
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import cm
import fitsio
#from xitools_eboss import *
from astropy.coordinates import SkyCoord
from astropy import units as u
from astropy.table import Table
dirsci = '/mnt/lustre/ashleyr/eboss/' #where AJR puts eboss catalogs, change this to wherever you have put catalogs
dirsys = 'maps/' #change to local directory where ngalvsys from wiki was put, note star map and depth map included
dirfits = '/Users/ashleyross/fitsfiles/' #change to where your catalog files are
ebossdir = '/Users/ashleyross/Dropbox/eboss/' #where AJR puts correlation functions, writes out results
dirscio = '/mnt/lustre/ashleyr/eboss/mocks/'
def P2(mu):
return .5*(3.*mu**2.-1.)
def P4(mu):
return .125*(35.*mu**4.-30.*mu**2.+3.)
def mkjackf_elg(samp,v='v5_10_7',cm='',Njack=20):
#defines jack-knifes
ranHealp_elg(samp,v=v)
mf = open('ranHeal_pix256eboss'+cm+samp+v+'_elg.dat').readlines()
fo = open('jackhpixeboss'+cm+samp+v+'_elg'+str(Njack)+'.dat','w')
for i in range(0,Njack-1):
fo.write(str(mf[(len(mf)/Njack)*(i+1)].split()[0])+'\n')
fo.close()
return True
def ranHealp_elg(samp,v='v5_10_7',cm='',res=256,rad=''):
#pixelizes random file to create jack-knifes
import gzip
dir = dirsci
angm = 1.
if rad == 'rad':
angm = 180./pi
from healpix import healpix,radec2thphi,thphi2radec
pixl = []
h = healpix()
np = 12*res**2
for i in range(0,np):
pixl.append(0)
d2 = False
if samp == '21p22':
f = fitsio.read(dirsci+'eboss21'+'.'+v+'.latest.rands.fits')
d2 = True
f2 = fitsio.read(dirsci+'eboss22'+'.'+v+'.latest.rands.fits')
else:
f = fitsio.read(dirsci+'eboss'+samp+'.'+v+'.latest.rands.fits')
for i in range(0,len(f)):
ra,dec = f[i]['ra'],f[i]['dec']
th,phi = radec2thphi(ra,dec)
p = int(h.ang2pix_nest(res,th,phi))
pixl[p] += 1.
if d2:
for i in range(0,len(f2)):
ra,dec = f2[i]['ra'],f2[i]['dec']
th,phi = radec2thphi(ra,dec)
p = int(h.ang2pix_nest(res,th,phi))
pixl[p] += 1.
fo = open('ranHeal_pix'+str(res)+'eboss'+cm+samp+v+'_elg.dat','w')
for i in range(0,len(pixl)):
if pixl[i] > 0:
fo.write(str(i)+' '+str(pixl[i])+'\n')
fo.close()
def mkgalELG4xi(zmin=.6,zmax=1.1,samp='21',v='v5_10_7',c='sci',app='.fits',compl=.8,compls=.7,fkp='fkp',wm='wstar'):
from healpix import healpix, radec2thphi
if c == 'sci': #AJR uses this define directory for machine he uses
dir = dirsci
if wm == 'wstar' or wm == 'cpstar':
wsys = np.loadtxt('allstars17.519.9Healpixall256.dat')
b,ms = findlinmb('ELG',samp,v,'star',zmin,zmax,dir='')
h = healpix()
print( b,ms)
#print wm.split('_')[1]
iv = False
if len(wm.split('_')) > 1:
if wm.split('_')[1] == 'ivar':
b,ms = findlinmb(samp,v,'',wm,zmin,zmax,dir='')
iv = True
print( b,ms)
ffkp = np.loadtxt('nbarELG'+samp+v+'.dat').transpose()
d2 = False
if samp == '21p22':
f = fitsio.read(dir+'eboss21'+'.'+v+'.latest'+app)
d2 = True
f2 = fitsio.read(dir+'eboss22'+'.'+v+'.latest'+app)
else:
f = fitsio.read(dir+'eboss'+samp+'.'+v+'.latest'+app) #read galaxy/quasar file
fo = open(dir+'gebosselg_'+samp+v+'_mz'+str(zmin)+'xz'+str(zmax)+fkp+wm+'4xi.dat','w')
n = 0
mins = 100
maxs = 0
for i in range(0,len(f)):
z = f[i]['Z']
w =1.
m = 0
#if f[i]['dec'] < .5 and f[i]['ra'] > 350 and f[i]['ra'] < 355:
# m = 1
if f[i]['sector_TSR'] < compl or f[i]['sector_SSR'] < compls:
m = 1
if z > zmin and z < zmax and m == 0 and f[i]['Z_reliable'] == True and f[i]['isdupl'] == False:# and f[i]['depth_ivar_r'] > 100 and f[i]['depth_ivar_g'] > 300 and f[i]['depth_ivar_z'] > 50:
ra,dec = f[i]['ra'],f[i]['dec']
th,phi = radec2thphi(ra,dec)
if wm == 'wstar' or wm == 'cpstar' or wm == 'wext':
pix2 = int(h.ang2pix_nest(256,th,phi))
#print pix2
ns = wsys[pix2]
ws = 1./(b+ms*ns)
if ws > maxs:
maxs = ws
if ws < mins:
mins = ws
w = w*ws
else:
if iv:
sysv = f[i][wm]
if sysv > 0:
sysv = -2.5*(log(5./sqrt(sysv),10.)-9)
ws = 1./(b+sysv*ms)
w = w*ws
zind = int(z/.01)
if fkp == 'fkp':
fkpw = ffkp[-1][zind]
w = w*fkpw
fo.write(str(f[i]['ra'])+' '+str(f[i]['dec'])+' '+str(z)+' '+str(w)+'\n')
n += 1.
if d2:
for i in range(0,len(f2)):
z = f2[i]['Z']
w =1.
m = 0
#if f[i]['dec'] < .5 and f[i]['ra'] > 350 and f[i]['ra'] < 355:
# m = 1
if f2[i]['sector_TSR'] < compl or f2[i]['sector_SSR'] < compls:
m = 1
if z > zmin and z < zmax and m == 0 and f2[i]['Z_reliable'] == True and f2[i]['isdupl'] == False:# and f[i]['depth_ivar_r'] > 100 and f[i]['depth_ivar_g'] > 300 and f[i]['depth_ivar_z'] > 50:
ra,dec = f2[i]['ra'],f2[i]['dec']
th,phi = radec2thphi(ra,dec)
if wm == 'wstar' or wm == 'cpstar' or wm == 'wext':
pix2 = int(h.ang2pix_nest(256,th,phi))
#print pix2
ns = wsys[pix2]
ws = 1./(b+ms*ns)
if ws > maxs:
maxs = ws
if ws < mins:
mins = ws
w = w*ws
else:
if iv:
sysv = f2[i][wm]
if sysv > 0:
sysv = -2.5*(log(5./sqrt(sysv),10.)-9)
ws = 1./(b+sysv*ms)
w = w*ws
zind = int(z/.01)
if fkp == 'fkp':
fkpw = ffkp[-1][zind]
w = w*fkpw
fo.write(str(f2[i]['ra'])+' '+str(f2[i]['dec'])+' '+str(z)+' '+str(w)+'\n')
n += 1.
print( n)
print( mins,maxs,wm)
fo.close()
return True
def mkranELG4xi(samp='21',v='v5_10_7',zmin=.7,zmax=1.1,comp = 'sci',N=0,app='.fits',compl=.8,compls=.7,fkp='fkp',wm='wstar'):
from random import random
if comp == 'sci':
dir = dirsci
wz = 'mz'+str(zmin)+'xz'+str(zmax)
gf = np.loadtxt(dir+'gebosselg_'+samp+v+'_mz'+str(zmin)+'xz'+str(zmax)+fkp+wm+'4xi.dat').transpose()
d2 = False
if samp == '21p22':
f = fitsio.read(dir+'eboss21'+'.'+v+'.latest.rands'+app)
d2 = True
f2 = fitsio.read(dir+'eboss22'+'.'+v+'.latest.rands'+app)
ns = (len(f)+len(f2))/1000000
print( len(f)+len(f2),ns)
else:
f = fitsio.read(dir+'eboss'+samp+'.'+v+'.latest.rands'+app)
ns = len(f)/1000000
print( len(f),ns)
fo = open(dir+'rebosselg'+'_'+samp+v+'_'+str(N)+wz+fkp+wm+'4xi.dat','w')
n = 0
nw = 0
#minc = N*10**6
#maxc = (N+1)*10**6 #will become relevant once files are big enough
#if len(f) < maxc:
# maxc = len(f)
#for i in range(minc,maxc):
for i in range(N,len(f),ns):
indz = int(random()*len(gf[2]))
z = gf[2][indz]
wg = gf[3][indz]
if wm == 'noSSR':
w = wg*f[i]['sector_TSR']
else:
w = wg*f[i]['sector_TSR']*f[i]['plate_SSR']
m = 0
#if f[i]['dec'] < .5 and f[i]['ra'] > 350 and f[i]['ra'] < 355:
# m = 1
#if z > zmin and z < zmax:
if f[i]['sector_TSR'] >= compl and f[i]['sector_SSR'] >= compls:# and f[i]['depth_ivar_r'] > 100 and f[i]['depth_ivar_g'] > 300 and f[i]['depth_ivar_z'] > 50:
fo.write(str(f[i]['ra'])+' '+str(f[i]['dec'])+' '+str(z)+' '+str(w)+'\n')
n += 1.
nw += w
if d2:
for i in range(N,len(f2),ns):
indz = int(random()*len(gf[2]))
z = gf[2][indz]
wg = gf[3][indz]
if wm == 'noSSR':
w = wg*f2[i]['sector_TSR']
else:
w = wg*f2[i]['sector_TSR']*f2[i]['plate_SSR']
m = 0
#if f[i]['dec'] < .5 and f[i]['ra'] > 350 and f[i]['ra'] < 355:
# m = 1
#if z > zmin and z < zmax:
if f2[i]['sector_TSR'] >= compl and f2[i]['sector_SSR'] >= compls:# and f[i]['depth_ivar_r'] > 100 and f[i]['depth_ivar_g'] > 300 and f[i]['depth_ivar_z'] > 50:
fo.write(str(f2[i]['ra'])+' '+str(f2[i]['dec'])+' '+str(z)+' '+str(w)+'\n')
n += 1.
nw += w
print( n,nw) #just helps to know things worked properly)
print( n/10000.*ns) #area in sq degrees)
fo.close()
return True
def mkodens(reg,zmin,zmax,v='4',res=256,tol=.2,app='.fits'):
#dir = 'output_v4/'
from healpix import radec2thphi
import healpy as hp
np = 12*res*res
gl = []
rl = []
for i in range(0,np):
gl.append(0)
rl.append(0)
f = fitsio.read(dirsci+'eBOSS_ELG'+'_clustering_'+reg+'_v'+v+'.dat.fits')
n = 0
nw = 0
nnan = 0
mins = 100
maxs = 0
for i in range(0,len(f)):
z = f[i]['Z']
w =1.
m = 0
#if f[i]['dec'] < .5 and f[i]['ra'] > 350 and f[i]['ra'] < 355:
# m = 1
if z > zmin and z < zmax:
ra,dec = f[i]['RA'],f[i]['DEC']
#if rec == '_rec':
# w = f[i]['WEIGHT_SYSTOT']
#else:
w = f[i]['WEIGHT_SYSTOT']*f[i]['WEIGHT_CP']*f[i]['WEIGHT_NOZ']
for i in range(0,len(f)):
z = f[i]['Z']
if z > zmin and z < zmax:
ra,dec = f[i]['RA'],f[i]['DEC']
w = f[i]['WEIGHT_SYSTOT']*f[i]['WEIGHT_CP']*f[i]['WEIGHT_NOZ']
th,phi = radec2thphi(ra,dec)
p = hp.ang2pix(res,th,phi)
gl[p] += w
f = fitsio.read(dirsci+'eBOSS_ELG'+'_clustering_'+reg+'_v'+v+'.ran.fits')
for i in range(0,len(f)):
z = f[i]['Z']
if z > zmin and z < zmax:
ra,dec = f[i]['RA'],f[i]['DEC']
w = f[i]['WEIGHT_SYSTOT']*f[i]['WEIGHT_CP']*f[i]['WEIGHT_NOZ']
th,phi = radec2thphi(ra,dec)
p = hp.ang2pix(res,th,phi)
rl[p] += w
avet = sum(gl)/sum(rl)
ng = 0
np = 0
for i in range(0,len(gl)):
if rl[i] > tol:
ng += gl[i]
np += rl[i]
print( ng,np,sum(gl),sum(rl))
ave = ng/np
print( ave,avet)
fo = open('galelg'+reg+v+str(zmin)+str(zmax)+str(res)+'odenspczw.dat','w')
ft = open('galelg'+reg+v+str(zmin)+str(zmax)+str(res)+'rdodens.dat','w')
no = 0
for i in range(0,len(rl)):
if rl[i] > tol:
th,phi = hp.pix2ang(res,i)
sra = sin(phi)
cra = cos(phi)
sdec = sin(-1.*(th-pi/2.))
cdec = cos(-1.*(th-pi/2.))
od = gl[i]/(ave*rl[i]) -1.
#od = gl[i]
fo.write(str(sra)+' '+str(cra)+' '+str(sdec)+' '+str(cdec)+' '+str(od)+' '+str(rl[i])+'\n')
ft.write(str(th)+' '+str(phi)+' '+str(od)+' '+str(rl[i])+'\n')
print( no)
#ft.close()
fo.close()
return True
def mkodens_BOSS(samp,reg,zmin,zmax,res=256,tol=.2,app='.fits'):
#dir = 'output_v4/'
dirb = '/mnt/lustre/ashleyr/BOSS/'
from healpix import radec2thphi
import healpy as hp
np = 12*res*res
gl = []
rl = []
for i in range(0,np):
gl.append(0)
rl.append(0)
f = fitsio.read(dirb+'galaxy_DR12v5_'+samp+'_'+reg+'.fits.gz')
n = 0
nw = 0
nnan = 0
mins = 100
maxs = 0
for i in range(0,len(f)):
z = f[i]['Z']
w =1.
m = 0
#if f[i]['dec'] < .5 and f[i]['ra'] > 350 and f[i]['ra'] < 355:
# m = 1
if z > zmin and z < zmax:
ra,dec = f[i]['RA'],f[i]['DEC']
#if rec == '_rec':
# w = f[i]['WEIGHT_SYSTOT']
#else:
w = (f[i]['WEIGHT_SYSTOT']+f[i]['WEIGHT_CP']-1.)*f[i]['WEIGHT_NOZ']
th,phi = radec2thphi(ra,dec)
p = hp.ang2pix(res,th,phi)
gl[p] += w
f = fitsio.read(dirb+'random0_DR12v5_'+samp+'_'+reg+'.fits.gz')
for i in range(0,len(f)):
z = f[i]['Z']
if z > zmin and z < zmax:
ra,dec = f[i]['RA'],f[i]['DEC']
w = 1.
th,phi = radec2thphi(ra,dec)
p = hp.ang2pix(res,th,phi)
rl[p] += w
avet = sum(gl)/sum(rl)
ng = 0
np = 0
for i in range(0,len(gl)):
if rl[i] > tol:
ng += gl[i]
np += rl[i]
print( ng,np,sum(gl),sum(rl))
ave = ng/np
print( ave,avet)
fo = open('gal'+samp+reg+str(zmin)+str(zmax)+str(res)+'odenspczw.dat','w')
ft = open('gal'+samp+reg+str(zmin)+str(zmax)+str(res)+'rdodens.dat','w')
no = 0
for i in range(0,len(rl)):
if rl[i] > tol:
th,phi = hp.pix2ang(res,i)
sra = sin(phi)
cra = cos(phi)
sdec = sin(-1.*(th-pi/2.))
cdec = cos(-1.*(th-pi/2.))
od = gl[i]/(ave*rl[i]) -1.
#od = gl[i]
fo.write(str(sra)+' '+str(cra)+' '+str(sdec)+' '+str(cdec)+' '+str(od)+' '+str(rl[i])+'\n')
ft.write(str(th)+' '+str(phi)+' '+str(od)+' '+str(rl[i])+'\n')
print( no)
#ft.close()
fo.close()
return True
def plotcrosscor(reg):
import numpy as np
from matplotlib import pyplot as plt
d1 = np.loadtxt('galelg'+reg+'40.60.7256galelg'+reg+'41.01.12562ptPixc.dat').transpose()
d2 = np.loadtxt('galelg'+reg+'40.60.7256galelg'+reg+'40.91.02562ptPixc.dat').transpose()
d3 = np.loadtxt('galelg'+reg+'40.60.7256galelg'+reg+'40.80.92562ptPixc.dat').transpose()
d4 = np.loadtxt('galelg'+reg+'40.80.9256galelg'+reg+'41.01.12562ptPixc.dat').transpose()
d5 = np.loadtxt('galelg'+reg+'40.70.8256galelg'+reg+'41.01.12562ptPixc.dat').transpose()
plt.plot(d1[0],d1[1],d2[0],d2[1],d3[0],d3[1],d4[0],d4[1],d5[0],d5[1])
plt.legend(('0.60.7x1.01.1','0.60.7x0.91.0','0.60.7x0.80.9','0.80.9x1.01.1','0.70.8x1.01.1'))
plt.ylim(-0.02,0.02)
plt.show()
return True
def plotodens(chunk,res=256,zmin=.6,zmax=1.1,v='v5_10_7',nranmin=40,cmap=cm.coolwarm,vmax=10):
from healpix import thphi2radec
try:
d = np.loadtxt(ebossdir+'galelg'+chunk+v+str(zmin)+str(zmax)+str(res)+'rdodens.dat').transpose()
except:
mkodens(chunk,zmin,zmax,v,res=res)
d = np.loadtxt(ebossdir+'galelg'+chunk+v+str(zmin)+str(zmax)+str(res)+'rdodens.dat').transpose()
rl = []
dl = []
cl = []
for i in range(0,len(d[0])):
if d[-1][i] >= nranmin:
th,phi = d[0][i],d[1][i]
ra,dec = thphi2radec(th,phi)
rl.append(ra)
dl.append(dec)
cl.append(d[2][i])
plt.clf()
fig = plt.figure(figsize=(12,6.7))
ax = fig.add_subplot(111)
if vmax > max(cl):
vmax = max(cl)
map = plt.scatter(rl,dl,c=cl,s=10,cmap=cmap,lw=0,vmax=vmax)#,vmin=-1,vmax=5,lw=0)
#cbar = plt.colorbar(map)
#plt.xlabel('right ascension J2000 (degrees)',fontsize=24)
#plt.ylabel('declination J2000 (degrees)',fontsize=24)
plt.colorbar(map,orientation='horizontal')#,ticks=[.5, .6, .7, .8, .9, 1.])
#plt.drawmeridians(arange(0,360,20),linewidth=.2,fontsize=20)
#plt.savefig(ebossdir+'elg'+chunk+comp+'.png')
plt.show()
#pp.savefig()
#pp.close()
return True
def plotELGcomp_full(ver='test',reg='SGC',cmap=cm.coolwarm,comp='COMP_BOSS'):
#remember!!! export PATH=$PATH:/Users/ashleyross/mangle2.2/bin
from matplotlib import pyplot as plt
from matplotlib import rc
from matplotlib.backends.backend_pdf import PdfPages
import fitsio
import matplotlib.cm as cm
plt.clf()
fig = plt.figure(figsize=(12,6.7))
ax = fig.add_subplot(111)
f = fitsio.read(dirfits +'ELG'+reg+ver+'full.ran.fits')
for i in range(0,f.size):
if f[i]['RA'] > 180:
f[i]['RA'] -= 360
#w = (f['RA'] > 180)
#f[w]['RA'] -= 360
map = plt.scatter(f['RA'],f['DEC'],c=f[comp],s=.1,cmap=cmap,vmin=.5,lw=0)
#cbar = plt.colorbar(map)
plt.xlabel('right ascension J2000 (degrees)',fontsize=24)
plt.ylabel('declination J2000 (degrees)',fontsize=24)
plt.colorbar(map,orientation='horizontal',ticks=[.5, .6, .7, .8, .9, 1.])
#plt.drawmeridians(arange(0,360,20),linewidth=.2,fontsize=20)
plt.savefig(ebossdir+'elg'+reg+ver+comp+'.png')
#plt.show()
#pp.savefig()
#pp.close()
return True
def plotELGcomp_AR(chunk,comp='sector_TSR',cmap=cm.coolwarm,v='v5_10_7'):
#remember!!! export PATH=$PATH:/Users/ashleyross/mangle2.2/bin
from matplotlib import pyplot as plt
from matplotlib import rc
from matplotlib.backends.backend_pdf import PdfPages
import fitsio
import matplotlib.cm as cm
plt.clf()
fig = plt.figure(figsize=(12,6.7))
ax = fig.add_subplot(111)
f = fitsio.read(dirfits +'ELG'+'.'+v+'.latest.rands.fits')
w = (f['ra'] <1e6) # just something stupid
if chunk != 'ALL':
w = (f['chunk'] == 'eboss'+str(chunk))
for i in range(0,f.size):
if f[i]['ra'] > 180:
f[i]['ra'] -= 360
map = plt.scatter(f[w]['ra'],f[w]['dec'],c=f[w][comp],s=.1,cmap=cmap,vmin=.5,lw=0)
#cbar = plt.colorbar(map)
plt.xlabel('right ascension J2000 (degrees)',fontsize=24)
plt.ylabel('declination J2000 (degrees)',fontsize=24)
plt.colorbar(map,orientation='horizontal',ticks=[.5, .6, .7, .8, .9, 1.])
#plt.drawmeridians(arange(0,360,20),linewidth=.2,fontsize=20)
plt.savefig(ebossdir+'elg'+chunk+comp+'.png')
#plt.show()
#pp.savefig()
#pp.close()
return True
def plotELGcomp_simp(ver='test',reg='SGC',sys='cpgdepth',cmap=cm.coolwarm,comp='COMP'):
#remember!!! export PATH=$PATH:/Users/ashleyross/mangle2.2/bin
from matplotlib import pyplot as plt
from matplotlib import rc
from matplotlib.backends.backend_pdf import PdfPages
import fitsio
import matplotlib.cm as cm
plt.clf()
fig = plt.figure(figsize=(12,6.7))
ax = fig.add_subplot(111)
f = fitsio.read(dirfits +'ELG'+reg+ver+sys+'.ran.fits')
map = plt.scatter(f['RA'],f['DEC'],c=f[comp],s=.1,cmap=cmap,vmin=.5,lw=0)
#cbar = plt.colorbar(map)
plt.xlabel('right ascension J2000 (degrees)',fontsize=24)
plt.ylabel('declination J2000 (degrees)',fontsize=24)
plt.colorbar(map,orientation='horizontal',ticks=[.5, .6, .7, .8, .9, 1.])
#plt.drawmeridians(arange(0,360,20),linewidth=.2,fontsize=20)
plt.savefig(ebossdir+'elg'+reg+ver+comp+'.png')
#plt.show()
#pp.savefig()
#pp.close()
return True
def plotELGgalchunk(chunk,v='v5_10_7',zmin=.6,zmax=1.1,compl=.5,compls=0):
#remember!!! export PATH=$PATH:/Users/ashleyross/mangle2.2/bin
from matplotlib import pyplot as plt
from matplotlib import rc
from matplotlib.backends.backend_pdf import PdfPages
import fitsio
import matplotlib.cm as cm
plt.clf()
fig = plt.figure(figsize=(12,6.7))
ax = fig.add_subplot(111)
#f = fitsio.read(dirfits +'eboss'+chunk+'.'+v+'.latest.fits')
f = fitsio.read(dirfits +'ELG.'+v+'.latest.fits')
ral = []
decl = []
for i in range(0,len(f)):
z = f[i]['Z']
if z < zmax:
if z > zmin and z < zmax and f[i]['chunk'] == chunk and f[i]['Z_reliable']==True and f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls and f[i]['isdupl'] == False:
ral.append(f[i]['ra'])
decl.append(f[i]['dec'])
#f = fitsio.read(dirfits +'eboss'+chunk+'.'+v+'.latest.rands.fits')
f = fitsio.read(dirfits +'ELG.'+v+'.latest.rands.fits')
rarl = []
decrl = []
for i in range(0,len(f)):
if f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls and f[i]['chunk'] == chunk:
rarl.append(f[i]['ra'])
decrl.append(f[i]['dec'])
plt.plot(rarl,decrl,'k,')
plt.plot(ral,decl,'ro',markersize=.4)
plt.xlabel('right ascension J2000 (degrees)',fontsize=24)
plt.ylabel('declination J2000 (degrees)',fontsize=24)
plt.show()
#pp.savefig()
#pp.close()
return True
def plotELGgalchunk_zsplit(chunk,v='v5_10_7',zmin=.6,zmax=1.1,compl=.8,compls=.7,zspl=.8):
#remember!!! export PATH=$PATH:/Users/ashleyross/mangle2.2/bin
from matplotlib import pyplot as plt
from matplotlib import rc
from matplotlib.backends.backend_pdf import PdfPages
import fitsio
import matplotlib.cm as cm
plt.clf()
fig = plt.figure(figsize=(12,6.7))
ax = fig.add_subplot(111)
f = fitsio.read(dirfits +'eboss'+chunk+'.'+v+'.latest.fits')
ral = []
decl = []
ral2 = []
decl2 = []
for i in range(0,len(f)):
z = f[i]['Z']
if z < zmax:
if z > zmin and z < zmax and f[i]['Z_reliable']==True and f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls and f[i]['isdupl'] == False:
if z < zspl:
ral.append(f[i]['ra'])
decl.append(f[i]['dec'])
else:
ral2.append(f[i]['ra'])
decl2.append(f[i]['dec'])
plt.plot(ral2,decl2,'ro',markersize=.4)
plt.plot(ral,decl,'ko',markersize=.4)
plt.xlabel('right ascension J2000 (degrees)',fontsize=24)
plt.ylabel('declination J2000 (degrees)',fontsize=24)
plt.show()
#pp.savefig()
#pp.close()
return True
def plotNbarELG(ver='v5_10_7',nocut='nocut'):
from matplotlib import pyplot as plt
d1 = np.loadtxt(ebossdir+'nbarELG21'+ver+nocut+'.dat').transpose()
d2 = np.loadtxt(ebossdir+'nbarELG22'+ver+nocut+'.dat').transpose()
d3 = np.loadtxt(ebossdir+'nbarELG23'+ver+nocut+'.dat').transpose()
plt.plot(d1[0],d1[1]*10000,'k-')
plt.plot(d1[0],d2[1]*10000,'r-')
plt.plot(d1[0],d3[1]*10000,'b-')
plt.xlim(0.5,1.2)
plt.xlabel('redshift')
plt.ylabel(r'number density (10$^4$ [$h$/Mpc]$^3$)')
plt.text(1.1,4.6,'chunk 21',color='k')
plt.text(1.1,4.4,'chunk 22',color='r')
plt.text(1.1,4.2,'chunk 23',color='b')
plt.show()
return True
def mkNbarELG(chunk,ver='v5_10_7',sp=0.01,zmin=0.1,zmax=1.5,P0=5000.,compl=.8,compls=.7,snrm=-1,snrx=1000):
from Cosmo import distance
d = distance(.31,.69)
from matplotlib import pyplot as plt
d2 = False
sumr = 0
if chunk == '21p22':
f = fitsio.read(dirfits+'eboss21'+'.'+ver+'.latest.rands.fits')
for i in range(0,len(f)):
if f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls and f[i]['plate_rSN2'] > snrm and f[i]['plate_rSN2'] < snrx:
sumr += f[i]['sector_TSR']
f2 = fitsio.read(dirfits+'eboss22'+'.'+ver+'.latest.rands.fits')
for i in range(0,len(f2)):
if f2[i]['sector_TSR'] > compl and f2[i]['sector_SSR'] > compls and f2[i]['plate_rSN2'] > snrm and f2[i]['plate_rSN2'] < snrx:
sumr += f2[i]['sector_TSR']
f = fitsio.read(dirfits+'eboss21'+'.'+ver+'.latest.fits')
f2 = fitsio.read(dirfits+'eboss22'+'.'+ver+'.latest.fits')
d2 = True
else:
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.rands.fits')
for i in range(0,len(f)):
if f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls and f[i]['plate_rSN2'] > snrm and f[i]['plate_rSN2'] < snrx:
sumr += f[i]['sector_TSR']
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.fits')
area = (sumr)/10000.
print( 'effective area is '+str(area))
no = 0
fo = open(ebossdir+'nbarELG'+chunk+ver+'.dat','w')
nb = int(zmax/sp)
zl = []
for i in range(0,nb):
zl.append(0)
sum = 0
sumw = 0
sumt = 0
ndup = 0
for i in range(0,len(f)):
z = f[i]['Z']
if z < zmax:
zind = int(z/sp)
wfczss = 1./(f[i]['plate_SSR'])
sum += wfczss
if z > zmin and z < zmax and f[i]['Z_reliable']==True and f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls and f[i]['isdupl'] == False and f[i]['plate_rSN2'] > snrm and f[i]['plate_rSN2'] < snrx:
sumt += 1.
sumw += wfczss
zl[zind] += wfczss
if f[i]['isdupl']:
ndup += 1.
if d2:
for i in range(0,len(f2)):
z = f2[i]['Z']
if z < zmax:
zind = int(z/sp)
wfczss = 1./(f2[i]['plate_SSR'])
sum += wfczss
if z > zmin and z < zmax and f2[i]['Z_reliable']==True and f2[i]['sector_TSR'] > compl and f2[i]['sector_SSR'] > compls and f2[i]['isdupl'] == False and f2[i]['plate_rSN2'] > snrm and f2[i]['plate_rSN2'] < snrx:
sumt += 1.
sumw += wfczss
zl[zind] += wfczss
if f2[i]['isdupl']:
ndup += 1.
print (ndup)
print (sumw/sumt)
#areaf = sumt/sumw
#area = area*areaf
#print 'effective area is '+str(area)
vl = []
veffl = []
nl = []
for i in range(0,len(zl)):
zlo = i*sp
zh = (i+1)*sp
v = area/(360.*360./pi)*4.*pi/3.*(d.dc(zh)**3.-d.dc(zlo)**3.)
vl.append(v)
nbarz = zl[i]/v
nl.append(nbarz)
veff = v*(nbarz*P0/(1.+nbarz*P0))**2.
veffl.append(veff)
f = 1.
zpl = []
nbl = []
nbwl = []
wtot = 0
zm = 0
nw = 0
nnw = 0
for i in range(0,nb):
z = sp/2.+sp*i
zpl.append(z)
fo.write(str(z)+' '+str(nl[i])+' '+str(zl[i])+' '+str(vl[i])+' '+str(veffl[i])+' '+str(1./(1.+zl[i]/vl[i]/f*P0))+'\n')
if z > .6 and z < 1.1:
zm += z*1./(1.+zl[i]/vl[i]/f*P0)
wtot += 1./(1.+zl[i]/vl[i]/f*P0)
nw += zl[i]/(1.+zl[i]/vl[i]/f*P0)
nnw += zl[i]
nbl.append(zl[i]/vl[i]/f)
nbwl.append(zl[i]/vl[i]/f*1./(1.+zl[i]/vl[i]/f*P0))
fo.close()
print (sum,zm/wtot,nw,nnw)
plt.plot(zpl,nbl)
plt.show()
plt.plot(zpl,nbwl)
plt.show()
return True
def plotnzplate(chunk,plate,ver='v5_10_7',sp=0.01,zmin=0.1,zmax=1.5,P0=5000.,compl=.8,compls=.7,snrm=-1,snrx=1000):
from Cosmo import distance
d = distance(.31,.69)
from matplotlib import pyplot as plt
d2 = False
sumr = 0
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.fits')
no = 0
nb = int(zmax/sp)
zl = []
for i in range(0,nb):
zl.append(0)
sum = 0
sumw = 0
sumt = 0
ndup = 0
nlow = 0
for i in range(0,len(f)):
if f[i]['PLATE'] == plate:
z = f[i]['Z']
if z < zmax:
zind = int(z/sp)
sum += 1.
if z > zmin and z < zmax and f[i]['Z_reliable']==True and f[i]['isdupl'] == False:
sumt += 1.
zl[zind] += 1.
if z > 0.6 and z < 0.75:
nlow += 1.
if f[i]['isdupl']:
ndup += 1.
print (ndup,sum,sumt,nlow,nlow/sumt)
def platevsfraclow(chunk='23',platemin=9546,platemax=9631,ver='v5_10_7',sp=0.01,zmin=0.1,zmax=1.5,P0=5000.,compl=.8,compls=.7,snrm=-1,snrx=1000):
from Cosmo import distance
d = distance(.31,.69)
from matplotlib import pyplot as plt
d2 = False
sumr = 0
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.fits')
no = 0
nb = int(zmax/sp)
zl = []
for i in range(0,nb):
zl.append(0)
sum = 0
sumw = 0
sumt = 0
ndup = 0
nlow = 0
nll = np.zeros((platemax-platemin+1))
nlt = np.zeros((platemax-platemin+1))
for i in range(0,len(f)):
z = f[i]['Z']
if z < zmax:
zind = int(z/sp)
sum += 1.
if z > zmin and z < zmax and f[i]['Z_reliable']==True and f[i]['isdupl'] == False:
sumt += 1.
plind = f[i]['PLATE']-platemin
nlt[plind] += 1.
if z > 0.6 and z < 0.75:
nll[plind] += 1.
nlow += 1.
if f[i]['isdupl']:
ndup += 1.
print (ndup,sum,sumt,nlow,nlow/sumt)
pl = []
for i in range(platemin,platemax+1):
pl.append(i)
plt.plot(pl,nll/nlt)
plt.xlabel('Plate')
plt.ylabel(r'$N(0.6 < z < 0.75)/N(0.6 < z < 1.1)$')
plt.title('Fraction of low redshift ELGs vs. plate, Chunk 23')
plt.show()
return True
def platevsdepth(chunk='23',platemin=9546,platemax=9631,ver='v5_10_7',sp=0.01,zmin=0.1,zmax=1.5,P0=5000.,compl=.8,compls=.7,snrm=-1,snrx=1000):
from Cosmo import distance
d = distance(.31,.69)
from matplotlib import pyplot as plt
d2 = False
sumr = 0
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.fits')
no = 0
nb = int(zmax/sp)
zl = []
for i in range(0,nb):
zl.append(0)
sum = 0
sumw = 0
sumt = 0
ndup = 0
nlow = 0
nll = np.zeros((platemax-platemin+1))
nlt = np.zeros((platemax-platemin+1))
for i in range(0,len(f)):
sumt += 1.
plind = f[i]['PLATE']-platemin
nlt[plind] += 1.
nll[plind] += f[i]['depth_ivar_g']
# print ndup,sum,sumt,nlow,nlow/sumt
pl = []
for i in range(platemin,platemax+1):
pl.append(i)
plt.plot(pl,nll/nlt)
plt.xlabel('Plate')
plt.ylabel('mean ivar g depth')
#plt.title('Fraction of low redshift ELGs vs. plate, Chunk 23')
plt.show()
return True
def platevsdepthr(chunk='23',platemin=9546,platemax=9631,ver='v5_10_7',sp=0.01,zmin=0.1,zmax=1.5,P0=5000.,compl=.8,compls=.7,snrm=-1,snrx=1000):
from Cosmo import distance
d = distance(.31,.69)
from matplotlib import pyplot as plt
d2 = False
sumr = 0
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.fits')
no = 0
nb = int(zmax/sp)
zl = []
for i in range(0,nb):
zl.append(0)
sum = 0
sumw = 0
sumt = 0
ndup = 0
nlow = 0
nll = np.zeros((platemax-platemin+1))
nlt = np.zeros((platemax-platemin+1))
for i in range(0,len(f)):
sumt += 1.
plind = f[i]['PLATE']-platemin
nlt[plind] += 1.
nll[plind] += f[i]['depth_ivar_r']
# print ndup,sum,sumt,nlow,nlow/sumt
pl = []
for i in range(platemin,platemax+1):
pl.append(i)
plt.plot(pl,nll/nlt)
plt.xlabel('Plate')
plt.ylabel('mean ivar r depth')
#plt.title('Fraction of low redshift ELGs vs. plate, Chunk 23')
plt.show()
return True
def platevsdepthz(chunk='23',platemin=9546,platemax=9631,ver='v5_10_7',sp=0.01,zmin=0.1,zmax=1.5,P0=5000.,compl=.8,compls=.7,snrm=-1,snrx=1000):
from Cosmo import distance
d = distance(.31,.69)
from matplotlib import pyplot as plt
d2 = False
sumr = 0
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.fits')
no = 0
nb = int(zmax/sp)
zl = []
for i in range(0,nb):
zl.append(0)
sum = 0
sumw = 0
sumt = 0
ndup = 0
nlow = 0
nll = np.zeros((platemax-platemin+1))
nlt = np.zeros((platemax-platemin+1))
for i in range(0,len(f)):
sumt += 1.
plind = f[i]['PLATE']-platemin
nlt[plind] += 1.
nll[plind] += f[i]['depth_ivar_z']
# print ndup,sum,sumt,nlow,nlow/sumt
pl = []
for i in range(platemin,platemax+1):
pl.append(i)
plt.plot(pl,nll/nlt)
plt.xlabel('Plate')
plt.ylabel('mean ivar z depth')
#plt.title('Fraction of low redshift ELGs vs. plate, Chunk 23')
plt.show()
return True
def mkNbarELG_nocut(chunk,ver='v5_10_7',sp=0.01,zmin=0.1,zmax=1.5,P0=5000.,compl=.8,compls=.7):
from Cosmo import distance
d = distance(.31,.69)
from matplotlib import pyplot as plt
d2 = False
sumr = 0
if chunk == '21p22':
f = fitsio.read(dirfits+'eboss21'+'.'+ver+'.latest.rands.fits')
for i in range(0,len(f)):
if f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls:
sumr += f[i]['sector_TSR']
f2 = fitsio.read(dirfits+'eboss22'+'.'+ver+'.latest.rands.fits')
for i in range(0,len(f2)):
if f2[i]['sector_TSR'] > compl and f2[i]['sector_SSR'] > compls:
sumr += f2[i]['sector_TSR']
f = fitsio.read(dirfits+'eboss21'+'.'+ver+'.latest.fits')
f2 = fitsio.read(dirfits+'eboss22'+'.'+ver+'.latest.fits')
d2 = True
else:
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.rands.fits')
for i in range(0,len(f)):
if f[i]['sector_TSR'] > compl and f[i]['sector_SSR'] > compls:
sumr += f[i]['sector_TSR']
f = fitsio.read(dirfits+'eboss'+chunk+'.'+ver+'.latest.fits')
area = (sumr)/10000.
print ('effective area is '+str(area))
no = 0
fo = open(ebossdir+'nbarELG'+chunk+ver+'nocut.dat','w')
nb = int(zmax/sp)
zl = []
for i in range(0,nb):
zl.append(0)
sum = 0
sumw = 0
sumt = 0
ndup = 0
for i in range(0,len(f)):
z = f[i]['Z']