Page History
...
These small scripts should be run from a "psana" machine (use "ssh -X psana") and are described in the following sections.
For reference, here we include a 39-line example script that incorporates several of the building blocks (described with the comments after the "#" character). See the topics available by expanding the topics box on the left of this confluence page to learn more about the individual building blocks.
Code Block |
---|
from psana import *
ds = DataSource('exp=xpptut15:run=54:idx') # run online/offline
det = Detector('cspad', ds.env()) # simple detector interface
from mpi4py import MPI # large-scale parallelization
rank = MPI.COMM_WORLD.Get_rank()
size = MPI.COMM_WORLD.Get_size()
img = None
for run in ds.runs():
times = run.times()
mylength = len(times)//size
mytimes= times[rank*mylength:(rank+1)*mylength]
for n,t in enumerate(mytimes):
evt = run.event(t) # random access
if img is None:
img = det.image(evt) # many complex run-dependent calibrations
else:
img += det.image(evt)
if n>5: break
import numpy as np
img_all = np.empty_like(img)
MPI.COMM_WORLD.Reduce(img,img_all)
if rank==0:
from pypsalg.AngularIntegrationM import * # algorithms
ai = AngularIntegratorM()
ai.setParameters(img_all.shape[0],img_all.shape[1],
mask=np.ones_like(img_all))
bins,intensity = ai.getRadialHistogramArrays(img_all)
from psmon import publish # real time plotting
from psmon.plots import Image
publish.local = True
img = Image(0,"CsPad",img_all)
publish.send('image',img)
MPI.Finalize() |
Overview
Content Tools