specific README for xray folder and added example of user script

xray/README.md

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+# xray
+
+Different utilities to work with time resolved solution/powder scattering data
+They should be extended to absorption soon
+
+The idea is the following

xray/example_main_tiox.py

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+from __future__ import print_function,division
+import numpy as np
+import pylab as plt
+import mcutils as mc
+import mcutils.xray as xray
+from mcutils.xray import id9
+id9 = xray.id9
+
+# use npz files (they can handle more stuff (list of arrays,unicode) than h5py)
+id9.storage_extension = '.npz'
+#id9.storage_extension = '.h5'
+
+def azav(folder,nQ=1500,force=False,saveChi=True,
+  poni='auto',storageFile='auto',mask=470):
+  if isinstance(mask,int):
+    files = xray.utils.getFiles(folder,"*.edf*")
+    img   = xray.azav.pyFAIread(files[0])
+    temp = np.ones_like(img,dtype=bool)
+    temp[:mask] = False
+    mask = temp
+  return id9.doFolder_azav(folder,nQ=nQ,force=force,mask=mask,saveChi=saveChi,
+            poni=poni,storageFile=storageFile)
+
+def datared(folder,monitor=(1,5),showPlot=True,**kw):
+  data,diffs = id9.doFolder_dataRed(folder,monitor=monitor,**kw)
+  if showPlot: xray.utils.plotdiffs(diffs.q,diffs.data,t=diffs.scan)
+  return data,diffs
+
+def doall(folder,force=False):
+  azav(folder,force=force)
+  return datared(folder)
+  
+
+def plotCalc(scale=1):
+  fold = "../tiox/calculated_patterns/"
+  q,i=readtxt(fold + "alpha500K.xye.q")
+  plt.plot(q,i*scale,label="alpha")
+  q,i=readtxt(fold + "beta290K.xye.q")
+  plt.plot(q,i*scale,label="beta")
+  q,i=readtxt(fold + "lambda.xye.q")
+  plt.plot(q,i*scale,label="lambda")