44 lines
976 B
Python
44 lines
976 B
Python
|
import matplotlib.pyplot as plt
|
||
|
|
import numpy as np
|
||
|
|
import xppl37_spectra
|
||
|
|
import xanes_analyzeRun
|
||
|
|
from datastorage import DataStorage as ds
|
||
|
|
r=xppl37_spectra.xanes_analyzeRun.AnalyzeRun(81)
|
||
|
|
r.load()
|
||
|
|
if len(r.results.keys()) > 1:
|
||
|
|
p1 = np.vstack( ( r.results[c].p1 for c in range(0,10,2) ) )
|
||
|
|
p2 = np.vstack( ( r.results[c].p2 for c in range(0,10,2) ) )
|
||
|
|
else:
|
||
|
|
p1 = r.results[0].p1
|
||
|
|
p2 = r.results[0].p2
|
||
|
|
N = int(len(p1)/2)
|
||
|
|
|
||
|
|
ref = slice(0,1000)
|
||
|
|
sam = slice(1000,1200)
|
||
|
|
|
||
|
|
#ref = slice(200)
|
||
|
|
#sam = slice(200)
|
||
|
|
|
||
|
|
ref = ds(p1=p1[ref],p2=p2[ref])
|
||
|
|
sam = ds(p1=p1[sam],p2=p2[sam])
|
||
|
|
|
||
|
|
# "ratioOfAverage medianOfRatios"
|
||
|
|
data=xppl37_spectra.calcAbs(ref,sam,refKind="medianOfRatios")
|
||
|
|
|
||
|
|
abs = data[-1]
|
||
|
|
idx = slice(200,800)
|
||
|
|
abs = abs[:,idx]
|
||
|
|
|
||
|
|
fom = []
|
||
|
|
fom1 = []
|
||
|
|
x = np.arange(abs.shape[1])
|
||
|
|
N = range(1,len(abs))
|
||
|
|
#N = 2**np.arange(15)
|
||
|
|
for i in N:
|
||
|
|
av = np.nanmean(abs[:i],axis=0)
|
||
|
|
p = np.polyfit(x,av,5)
|
||
|
|
diff = av-np.polyval(p,x)
|
||
|
|
fom.append( np.nanstd(av) )
|
||
|
|
fom1.append( np.nanstd(diff) )
|
||
|
|
|