def expy(d):
colors = ['b','g','r','c','m','y','k','b--','g--','r--','c--','m--','y--']
multi = 2.**N.arange(2,3.1,1.)
#multi = [77.]
for i in range(len(multi)):
dinflate = N.exp((d)*multi[i])-1.
k,p = power.pk(dinflate)
var = N.var((d)*multi[i])
lognocor = ((N.exp(var)-1)*N.exp(var)/var)
lognovar = (N.exp(var)-1)*N.exp(var)
print 1+2*var,'lognocor:',lognocor
#varlog = N.var(N.log(dinflate+1.).flatten())
k,plog = power.pk(N.log(dinflate+1))
print p[0]/plog[0], p[-1]/plog[-1]
#M.subplot(121)
M.loglog(k,p/plog/lognocor,colors[i])
#M.subplot(122)
#M.loglog(k,plog,colors[i])
#M.loglog([k[0],k[-1]],[lognovar,lognovar],colors[i])
#M.loglog(k,1./plog**mul,colors[i])
#preal = M.load('mill/s63/pm.pnl.dat')
#plogreal = M.load('mill/s63/plogm.pnl.dat')
#M.loglog(preal[:,0],preal[:,1]/plogreal[:,1],'b')
#M.xlabel(r'$k\ [\rm{Mpc}/h]$',fontsize=20)
#M.ylabel(r'$P_\delta(k)/P_{\log (1+\delta)}(k)$',fontsize=20)
M.show()
def logskew(d,floors = [],col='',divvypk=[]):
maxd = max(d.flatten())
if len(floors) == 0:
floors = 1./maxd * 2.**N.arange(-5,5.01,1.)
print floors
for fl in floors:
dcopy = 1.*d
wltf = N.where(dcopy < fl)
dcopy[wltf] = 0.*dcopy[wltf] + fl
logrho = N.log(dcopy)
var = N.var(decreaseres(logrho,f=16).flatten())
#skew = SS.skew(logrho.flatten())
#print fl,'log:',var,'lin:',N.var(dcopy.flatten())
print fl,'log:',var#,SS.skew(dcopy.flatten())
k,pk = power.pk(logrho)
if (len(divvypk) > 0):
M.loglog(k,pk/divvypk/var,col)
if (len(divvypk) == 0):
return pk,pk/var
else:
return
def gaussy(d):
colors = ['b','g','r','c','m','y','b--','g--','r--','c--','m--','y--']
multi = 2.**N.arange(0,4.1,1)
M.clf()
for i in range(len(multi)):
dinflate = (d-1.)*multi[i]
k,p = power.pk(dinflate)
w0 = N.where(dinflate <=-0.9999)
dinflate[w0] = dinflate[w0]*0. -0.9999
k,plog = power.pk(N.log(dinflate+1.))
print p[0]/plog[0], p[-1]/plog[-1]
M.loglog(k,p/plog,colors[i])
M.show()
cdNu2 = CIC.getDemNu(mapNu2)
cdNu2 = N.double(cdNu2)
den2 = N.sum(cdNu2)/2000.**3
npix = N.size(cdNu2.flat)
cdNu2 = cdNu2/((N.sum(cdNu2))/npix) #turn into a density field
print N.var(cdNu1)
print N.var(cdNu2)
print N.var(N.log(cdNu1))
print N.var(N.log(cdNu2))
"""
Calculate Power spectrum
"""
print 'Power spectrum min mass'
Pow.pk(cdNu1, boxsize=2000., filename='PkNu17z0.txt')
out = N.loadtxt(open('./Output/PkNu17z0.txt'))
kmin = out[:,0]
Pkmin = out[:,1]
print 'Log power spectrum min mass'
Pow.pk(N.log(cdNu1), boxsize=2000., filename='PklogNu17z0.txt')
out = N.loadtxt(open('./Output/PklogNu17z0.txt'))
klogmin = out[:,0]
Pklogmin = out[:,1]
print 'Power spectrum max mass'
Pow.pk(cdNu2, boxsize=2000., filename='PkNu30z0.txt')
out = N.loadtxt(open('./Output/PkNu30z0.txt'))
kmax = out[:,0]
Pkmax = out[:,1]
print 'Log power spectrum max mass'
