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threeDspectrum_twopulses.py
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threeDspectrum_twopulses.py
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from numpy import *
from numpy.linalg import matrix_power,solve
import os
import sys
import subprocess
sys.path.append(os.path.expanduser("~/pythonscripts/"))
from twoDplot import *
from itertools import product, chain
from numpy.fft import fftn,ifftn,fftshift
from scipy.signal import deconvolve
#read in arrays
phasevec=load("phasevec.pkl")
print("shape phasevec\t"+str(shape(phasevec)))
deltatvec=load("deltatvec.pkl")
print("shape deltatvec\t"+str(shape(deltatvec)))
tmeasurevec=load("tmeasurevec.pkl")
print("shape tmeasurevec\t"+str(shape(tmeasurevec)))
woutvec=load("woutvec.pkl")
print("shape woutvec\t"+str(shape(woutvec)))
nprvec=load("nprvec.pkl")
print("shape nprvec\t"+str(shape(nprvec)))
nsvec=load("nsvec.pkl")
print("shape nsvec\t"+str(shape(nsvec)))
deltat_npr_ns_tmeasure_array=load("deltat_npr_ns_tmeasure_array.pkl")
print("shape deltat_npr_ns_tmeasure_array\t"+str(shape(deltat_npr_ns_tmeasure_array)))
deltat_npr_ns_wout_array=load("deltat_npr_ns_wout_array.pkl")
print("shape deltat_npr_ns_wout_array\t"+str(shape(deltat_npr_ns_wout_array)))
deltat_npr_phase_tmeasure_array=load("deltat_npr_phase_tmeasure_array.pkl")
print("shape deltat_npr_phase_tmeasure_array\t"+str(shape(deltat_npr_phase_tmeasure_array)))
deltat_npr_phase_wout_array=load("deltat_npr_phase_wout_array.pkl")
print("shape deltat_npr_phase_wout_array\t"+str(shape(deltat_npr_phase_wout_array)))
####################################################################
#array operations
def iftarray(inparray,axes,shift=True):
if(shift):
retarray=fftshift(inparray,axes=axes)
else:
retarray=copy(inparray)
retarray=ifftn(retarray,axes=axes)
return retarray
def ftarray(inparray,axes,shift=True):
retarray=fftn(inparray,axes=axes)
if(shift):
retarray=fftshift(retarray,axes=axes)
return retarray
################################################################################
#Movie tools
#figure tools
def fign(n,colorpower='log',logrange=6,inpstr="kIR"):
return imshowplotfile("phasematched_multidimensional/"+str(n)+
"/freq_vs_freq_"+inpstr+".dat",
arrayfunction=logz,xlo=0,ymultfactor=Hrt,
colorpower=colorpower,logrange=logrange,ylo=0.,yhi=25)
#array operations
def abssqarraymean(inparray):
(n0,n1,n2)=shape(inparray)
retarray=zeros((n0,n2))
for i,j in product(range(n0),range(n2)):
retarray[i,j]=mean(abs(inparray[i,:,j])**2)
return retarray
def normalizearray(inparray):
retarray=copy(inparray)
arraymean=abssqarraymean(inparray)
(n0,n1,n2)=shape(inparray)
for i,j in product(range(n0),range(n2)):
retarray[i,:,j]/=arraymean[i,j]
return retarray
def zerooriginalarrayphase(inparray):
retarray=copy(inparray)
(n0,n1,n2)=shape(inparray)
for i,j in product(range(n0),range(n2)):
tmpangle=angle(retarray[i,0,j])
retarray[i,:,j]*=exp(-1j*tmpangle)
return retarray
def subtractarraymeansq(inparray):
retarray=copy(inparray)
arraymean=abssqarraymean(inparray)
(n0,n1,n2)=shape(inparray)
for i,j in product(range(n0),range(n2)):
retarray[i,:,j]=(abs(retarray[i,:,j])**2-arraymean[i,j])
return retarray
def zeroarraycolumns(inparray,colnumlist):
retarray=copy(inparray)
for colnum in colnumlist:
retarray[:,colnum,:]=0.
return retarray
def zeroarraycolumn(inparray,colnum):
return zeroarraycolumns(inparray,[colnum])
# retarray=copy(inparray)
# retarray[:,colnum,:]=0.
# return retarray
def zeroftindices(inparray,colnumlist):
(n0,n1,n2)=shape(inparray)
indxlist=ftindexlist(n1,colnumlist)
return zeroarraycolumns(inparray,indxlist)
def ftindexlist(nft,colnumlist):
nftby2=int(floor(nft/2))
indxlist=list(range(-nftby2,-nftby2+nft))
retlist=[]
for i in range(len(colnumlist)):
retlist.append(indxlist.index(colnumlist[i]))
return retlist
def vecstoarrays(vec1,vec2):
n=len(vec1)
m=len(vec2)
retarray1=outer(vec1,ones(m))
retarray2=outer(ones(n),vec2)
return retarray1,retarray2
def iftindx1(inparray):
iftarray=ifftn(inparray,axes=[1])
iftarray=fftshift(iftarray,axes=[1])
return iftarray
#def arraymovie(inparray, movietitle="movie.mp4", colorpower='log', logrange=6,
# arrayfun=None, xvec=winpvec, yvec=woutvec,
# removefigs=True, theme='hls', ylo=None, yhi=None):
# (n0,n1,n2)=shape(wkIRwarray)
# print("shape wkIRwarray\t"+str(shape(wkIRwarray)))
# xarray,yarray=vecstoarrays(xvec,yvec)
#
# zmax=(abs(inparray)).max()
# fignamelist=[]
# for n in range(shape(inparray)[1]):
# if(arrayfun==None):
# fign=imshowplot_hsv(xarray, yarray, inparray[:, n, :],
# colorpower=colorpower, logrange=logrange,
# legend="$\phi=$"+"{0:.2f}".format(phasevec[n])+"$\pi$",
# ymultfactor=Hrt, xmultfactor=Hrt,
# absmax=zmax, xlabel="$\omega_{in}$ (eV)",
# ylabel="$\omega_{out}$ (eV)", theme=theme,
# ylo=ylo, yhi=yhi)
# else:
# fign=imshowplot_fun(xarray, yarray, inparray[:, n, :],
# colorpower=colorpower, logrange=logrange,
# legend="$\phi=$"+"{0:.2f}".format(phasevec[n])+"$\pi$",
# ymultfactor=Hrt, xmultfactor=Hrt,
# arrayfunction=arrayfun, absmax=zmax,
# xlabel="$\omega_{in}$ (eV)",
# ylabel="$\omega_{out}$ (eV)", theme=theme,
# ylo=ylo, yhi=yhi)
# figname="fig"+"%03d" % n+".png"
# fign.savefig(figname)
# plt.close(fign)
# fignamelist.append(figname)
## fign=interpplot(winparray.flatten(),woutarray.flatten(),
## real(iftnoconstarray[:,n,:].flatten()),
## legend="$\phi=$"+"{0:.2f}".format(phasevec[n])+"$\pi$",
## colorpower=1,
## inpcmapname='RdBu',ylo=0,ymultfactor=Hrt,
## xmultfactor=Hrt,zmax=zmax)
# print(" ".join(fignamelist))
# subprocess.call(["ffmpeg", "-r", "3",
# "-i","fig%03d.png","-pix_fmt", "yuv420p",movietitle])
# print("created "+movietitle)
# if(removefigs):
# figfiles=glob.glob("fig*.png")
# for figfile in figfiles:
# os.remove(figfile)
#
####################################################################
#Montage tools
def plotarrayslice(xvec, yvec, arrayslice, plotstyle='density', **kwargs):
#**kwargs is passed to imshowplot_hsv, so look to that definition for the list
#of adjustable options
xarray,yarray=vecstoarrays(xvec,yvec)
retfig=None
print("plotstyle\t"+plotstyle)
if(plotstyle=='density'):
retfig=imshowplot_hsv(xarray,yarray,arrayslice, **kwargs)
if(plotstyle=='contour'):
print("contour plot")
contourcmapname='spectral'
retfig=contourplot(xarray, yarray, arrayslice, contourcmapname=contourcmapname,
**kwargs)
return retfig
def arraymontage(xvec, yvec, tvec, inparray, indxorder=[0,1,2,3],
lastindxval=0, colorpower='log', logrange=6,
nrows=None, montagetitle=None, arraynormalize=True,
removefigs=True, plotstyle='contour', **kwargs):
#This routine reshapes inparray so that the indices appear in the order
#specified by indxorder. It then makes an array montage of x vs y plots by
#looping through t, where the (rearranged) zeroth index is the x axis, first
#index is the y axis, second is the t axis. The last index value is
#specified by lastindxval.
print("arraymontage plotstyle\t"+plotstyle)
tmparray=inparray.transpose(indxorder)
if(arraynormalize):
absmax=abs(tmparray[:,:,:,lastindxval]).max()
else:
absmax=None
print("shape inparray\t"+str(shape(inparray)))
print("shape tmparray\t"+str(shape(tmparray)))
fignamelist=[]
for i in range(len(tvec)):
tval=tvec[i]
fign=plotarrayslice(xvec,yvec,tmparray[:,:,i,lastindxval],
absmax=absmax, colorpower=colorpower,
logrange=logrange, plotstyle=plotstyle, **kwargs)
figname="fig"+"%03d" % i+".png"
fign.savefig(figname)
plt.close(fign)
fignamelist.append(figname)
makemontage(fignamelist,nrows,montagetitle)
if(removefigs):
deletefiglist(fignamelist)
#def arraymontage(inparray, indxlist=kIRvec, montagetitle="montage.png",
# colorpower='log', logrange=6, arrayfun=None,
# xvec=winpvec, yvec=woutvec, removefigs=True,
# nrows=None, nmin=None, nmax=None, nstride=1, ylo=None, yhi=None,
# xlabel="$\omega_{in}$ (eV)", ylabel="$\omega_{out}$ (eV)",
# arraynormalize=True):
# (n0,n1,n2)=shape(inparray)
# if(arraynormalize):
# zmax=abs(inparray).max()
# else:
# zmax=None
# fignamelist=[]
#
# xarray,yarray=vecstoarrays(xvec,yvec)
#
# loopnmin,loopnmax=indxrange(indxlist,nmin,nmax)
# for n in range(loopnmin,loopnmax,nstride):
# if(arrayfun==None):
# fign=imshowplot_hsv(xarray,yarray,inparray[:,n,:],
# colorpower=colorpower,logrange=logrange,
# legend="$n_{streak}=$"+indxstr(n,indxlist),
# ymultfactor=Hrt, xmultfactor=Hrt, absmax=zmax,
# xlabel=xlabel, ylabel=ylabel,ylo=ylo,yhi=yhi)
# else:
# fign=imshowplot_fun(xarray,yarray,inparray[:,n,:],
# colorpower=colorpower,logrange=logrange,
# legend="$n_{streak}=$"+indxstr(n,indxlist),
# ymultfactor=Hrt, xmultfactor=Hrt,
# arrayfunction=arrayfun, absmax=zmax,
# xlabel=xlabel, ylabel=ylabel,ylo=ylo,yhi=yhi)
# figname="fig"+"%03d" % n+".png"
# fign.savefig(figname)
# plt.close(fign)
# fignamelist.append(figname)
# makemontage(fignamelist,nrows,montagetitle)
# if(removefigs):
# deletefiglist(fignamelist)
def indxstr(n,indxlist):
if(indxlist==None):
return str(n)
else:
return str(int(indxlist[n]))
def indxrange(indxlist,nmin=None,nmax=None):
retnmin=0
retnmax=len(indxlist)
if(indxlist!=None):
if(nmin!=None):
retnmin=list(indxlist).index(nmin)
if(nmax!=None):
retnmax=list(indxlist).index(nmax)+1
print("retnmin,retnmax\t"+str(retnmin)+", "+str(retnmax))
return retnmin,retnmax
def makemontage(fignamelist,nmin=None,nmax=None,nrows=None,outfigname="montage.png"):
nfigs=len(fignamelist)
fignamestr=" ".join(fignamelist)
if(nrows==None):
nrows=int(floor(sqrt(nfigs)))
ncols=int(ceil(nfigs/nrows))
montagecommand="montage -tile "+str(nrows)+"x"+str(ncols)+ " -mode Concatenate "+fignamestr+" "+outfigname
subprocess.call(montagecommand.split())
def deletefiglist(fignamelist):
#print("fignamelist\t"+str(fignamelist))
for figname in fignamelist:
os.remove(figname)
def vecstoarrays(vec1,vec2):
n=len(vec1)
m=len(vec2)
retarray1=outer(vec1,ones(m))
retarray2=outer(ones(n),vec2)
return retarray1,retarray2
################################################################################
#Deconvolution
def sinsqpulse(w0,wenv,tarray):
tmax=pi/wenv
retarray=zeros(len(tarray))*0j
for i in range(len(tarray)):
if(tarray[i]<=tmax):
retarray[i]=exp(1j*w0*tarray[i])*pow(sin(wenv*tarray[i]),2)
return retarray
def pulseenvelopepower(wenv,tarray,power):
tmax=pi/wenv
retarray=zeros(len(tarray))*0j
for i in range(len(tarray)):
if(tarray[i]<=tmax):
retarray[i]=pow(sin(wenv*tarray[i]),2*abs(power))
return retarray
def deconvolve_padded(inpvec,convvec):
ninp=len(inpvec)
nconv=len(convvec)
padinpvec=zeros(len(inpvec)+len(convvec))*0j
padinpvec[nconv/2:nconv/2+ninp]=inpvec[:]
deconvvec=deconvolve(padinpvec,convvec)
return deconvvec
def fouriermat(inpvec):
nvec=len(inpvec)
retmat=zeros((nvec,nvec))*0j
for j in range(nvec):
retmat[:,j]=roll(inpvec,-int(floor(nvec/2))+j)
# for i,j in product(range(nvec),range(nvec)):
## k=i-j
## if((k>=-nvec/2) and (k<nvec/2)):
## retmat[i,j]=inpvec[nvec/2+k]
# retmat[mod(i-nvec/2+j,nvec),j]=inpvec[i]
return retmat
def pulseftmat(wnlist,wenv,tarray):
nt=len(tarray)
retarray=identity(nt)*(1.+0j)
for i in range(len(wnlist)):
[w0,n]=wnlist[i]
if(n>=0):
pulsevec=sinsqpulse(w0,wenv,tarray)
else:
pulsevec=sinsqpulse(-w0,wenv,tarray)
ftpulsevec=normvec(fftshift(fft(pulsevec)))
ftpulsemat=fouriermat(ftpulsevec)
retarray=dot(matrix_power(ftpulsemat,abs(n)),retarray)
return retarray
def normvec(inpvec):
norm=0.
for i in range(len(inpvec)):
norm+=abs(inpvec[i])
return inpvec/sqrt(norm)
def hcpulseftmat(wnlist,wenv,tarray):
return conjugate(transpose(pulseftmat(wnlist,wenv,tarray)))
def removepulsespectrum(i0,i1,ncycles,sourcearray,ws=.0565):
wpr=winpvec[i0]
nk=list(kIRvec).index(i1)#int(kIRvec[i1])
print("nk\t"+str(nk))
wnlist=[[wpr,1],[ws,i1]]
pftmat=pulseftmat(wnlist,ws/(2*ncycles),tvec)
retvec=solve(pftmat,sourcearray[i0,i1,:])
return retvec
def removepulsespectrum_array(inparray,ncycles=8,ws=.0565):
(n0,n1,n2)=shape(inparray)
retarray=zeros(shape(inparray))*0j
for i,j in product(range(n0),range(n1)):
retarray[i,j,:]=removepulsespectrum(i,int(kIRvec[j]),ncycles,inparray,ws)
return retarray
def removepulsespectrum_array2(ncycles=8,ws=.0565):
wenv=ws/(2*ncycles)
wktnofreqarray=wkt_subtracttwofreqs()
wkwretarray=zeros(shape(wktnofreqarray))*0j
(n0,n1,n2)=shape(wktnofreqarray)
for i,j in product(range(n0),range(n1)):
print("i,j\t"+str(i)+"\t"+str(j))
power=1+abs(j-int(floor(n1/2)))
wkwretarray[i,j,:]=deconvolvepulse(wktnofreqarray[i,j,:],power,wenv)
return wkwretarray
def deconvolvepulse(inpvec,power,wenv):
ftinpvec=ftarray(inpvec,axes=[0])
envvec=pulseenvelopepower(wenv,tvec,power)
ftenvvec=ftarray(envvec,axes=[0])
ftenvmat=fouriermat(ftenvvec)
retvec=solve(ftenvmat,ftinpvec)
return retvec
def dt_evolution_array(inparray):
retarray=copy(inparray)
(n0,n1,n2,n3)=shape(retarray)
for i in range(n0):
retarray[i,:,:,:]-=inparray[0,:,:,:]
return retarray
def dt_contourplot(xvec, yvec, dt_npr_ns_yarray, nprval=1, nsval=0,
**kwargs):
xarray,yarray=vecstoarrays(xvec,yvec)
tmpzarray=dt_npr_ns_yarray[:, list(nprvec).index(nprval),
list(nsvec).index(nsval), :]
return contourplot(xarray,yarray,tmpzarray, **kwargs)