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futher fixes for handling sub-volumes in analysis

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This commit is contained in:
P.M. Sutter 2012-11-06 14:41:09 -06:00
parent e2ee7b22dd
commit 61acd59383
8 changed files with 182 additions and 26 deletions
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3
python_tools/void_python_tools/backend/launchers.py
View file

@ -76,7 +76,6 @@ def launchGenerate(sample, binPath, workDir=None, inputDataDir=None,
if os.access("contour_map.fits", os.F_OK):
os.system("mv %s %s" % ("contour_map.fits", zobovDir))
os.system("mv %s %s" % ("mask_map.fits", zobovDir))
if os.access("comoving_distance.txt", os.F_OK):
os.system("mv %s %s" % ("comoving_distance.txt", zobovDir))
@ -815,7 +814,7 @@ def launchFit(sample, stack, logFile=None, voidDir=None, figDir=None,
maxtries = 5
while badChain:
Rexpect = (stack.rMin+stack.rMax)/2
Rtruncate = stack.rMax*3. + 1 # TEST
Rtruncate = stack.rMin*3. + 1 # TEST
ret,fits,args = vp.fit_ellipticity(voidDir,Rbase=Rexpect,
Niter=300000,
Nburn=100000,

154
python_tools/void_python_tools/plotting/plotTools.py
View file

@ -1,4 +1,5 @@
__all__=['plotNumberCounts']
__all__=['plotRedshiftDistribution', 'plotSizeDistribution', 'plot1dProfiles',
'plotMarg1d']
from void_python_tools.backend.classes import *
from plotDefs import *
@ -7,11 +8,12 @@ import os
import pylab as plt
# -----------------------------------------------------------------------------
def plotNumberCounts(workDir=None, sampleList=None, figDir=None, plotNameBase="numbercount",
def plotRedshiftDistribution(workDir=None, sampleList=None, figDir=None,
plotNameBase="zdist",
showPlot=False, dataPortion=None, setName=None):
plt.clf()
plt.xlabel("Comoving Distance (Mpc/h)")
plt.xlabel("Redshift")
plt.ylabel("Number of Voids")
plotTitle = setName
@ -67,3 +69,149 @@ def plotNumberCounts(workDir=None, sampleList=None, figDir=None, plotNameBase="n
os.system("display %s" % figDir+"/fig_"+plotName+".png")
# -----------------------------------------------------------------------------
def plotSizeDistribution(workDir=None, sampleList=None, figDir=None,
plotNameBase="sizedist",
showPlot=False, dataPortion=None, setName=None):
plt.clf()
plt.xlabel("Void Radius (Mpc/h)")
plt.ylabel("Number of Voids")
plotTitle = setName
plotName = plotNameBase
xMin = 1.e00
xMax = 0
for (iSample,sample) in enumerate(sampleList):
sampleName = sample.fullName
lineTitle = sampleName
filename = workDir+"/sample_"+sampleName+"/centers_"+dataPortion+"_"+\
sampleName+".out"
if not os.access(filename, os.F_OK):
print "File not found: ", filename
continue
data = np.loadtxt(filename, comments="#")
if data.ndim == 1:
print " Too few!"
continue
xMin = 5
xMax = 140
range = (xMin, xMax)
nbins = np.ceil((xMax-xMin)/5)
#thisMax = np.max(data[:,5])
#thisMin = np.min(data[:,5])
#if thisMax > xMax: xMax = thisMax
#if thisMin < xMin: xMin = thisMin
plt.hist(data[:,4], bins=nbins,
label=lineTitle, color=colorList[iSample],
histtype = "step", range=range,
linewidth=linewidth)
plt.legend(title = "Samples", loc = "upper right")
plt.title(plotTitle)
plt.xlim(xMin, xMax)
#plt.xlim(xMin, xMax*1.4) # make room for legend
plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
if showPlot:
os.system("display %s" % figDir+"/fig_"+plotName+".png")
# -----------------------------------------------------------------------------
def plot1dProfiles(workDir=None, sampleList=None, figDir=None,
plotNameBase="1dprofile",
showPlot=False, dataPortion=None, setName=None):
plt.clf()
plt.xlabel(r"$R/R_{v,\mathrm{max}}$")
plt.ylabel(r"$n / \bar n$")
for (iSample,sample) in enumerate(sampleList):
sampleName = sample.fullName
for (iStack,stack) in enumerate(sample.stacks):
plotTitle = setName
plotName = plotNameBase
runSuffix = getStackSuffix(stack.zMin, stack.zMax, stack.rMin,
stack.rMax, dataPortion)
plotTitle = sampleName + ", z = "+str(stack.zMin)+"-"+str(stack.zMax)+", R = "+str(stack.rMin)+"-"+str(stack.rMax)+ r" $h^{-1}$ Mpc"
filename = workDir+"/sample_"+sampleName+"/stacks_"+runSuffix+\
"profile_1d.txt"
if not os.access(filename, os.F_OK):
print "File not found: ", filename
continue
data = np.loadtxt(filename, comments="#")
if data.ndim == 1:
print " Too few!"
continue
data[:,1] /= stack.rMax
plt.ylim(ymin=0.0, ymax=np.amax(data[:,2])+0.1)
plt.xlim(xmin=0.0, xmax=2.1)
plt.plot(data[:,1], data[:,2], label=lineTitle, color=colorList[0],
linewidth=linewidth)
plt.title(plotTitle)
plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
if showPlot:
os.system("display %s" % figDir+"/fig_"+plotName+".png")
# -----------------------------------------------------------------------------
def plotMarg1d(workDir=None, sampleList=None, figDir=None,
plotNameBase="marg1d",
showPlot=False, dataPortion=None, setName=None):
plotNames = ("Om", "w0", "wa")
plotTitles = ("$\Omega_M$", "$w_0$", "$w_a$")
files = ("Om", "w0", "wa")
for iPlot in range(len(plotNames)):
plt.clf()
plotName = plotNameBase+"_"+plotNames[iPlot]+"_"+dataPortion
plotTitle = plotTitles[iPlot]
dataFile = workDir + "/likelihoods_"+dataPortion+"_"+files[iPlot]+".dat"
plt.xlabel(plotTitle, fontsize="20")
plt.ylabel("Likelihood", fontsize="20")
plt.ylim(0.0, 1.0)
data = np.loadtxt(dataFile, comments="#")
plt.plot(data[:,0], data[:,1], color='k', linewidth=linewidth)
plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
if showPlot:
os.system("display %s" % figDir+"/fig_"+plotName+".png")