def test1(self):
'NDMonitor'
from mcni.components.NDMonitor import NDMonitor, Axis
xaxis = Axis(
name='x',
expression='x',
bins=100,
range=(0, 1000.),
unit='meter',
)
m = NDMonitor('abc', [xaxis])
N = 100
from mcni import neutron_buffer, neutron
b = neutron_buffer(N)
for i in range(N):
b[i] = neutron()
continue
m.process(b)
self.assertEqual(m.histogram.I[0], N)
self.assertEqual(m.histogram.E2[0], N)
self.assertEqual(m.histogram.I[1], 0.)
self.assertEqual(m.histogram.E2[1], 0.)
if interactive:
from histogram.plotter import defaultPlotter as plotter
plotter.plot(m.histogram)
return
def test1(self):
from mccomponents.detector.reduction_utils import events2IQE
eventsfile = 'events.dat'
outfile = 'intensities.dat'
nevents = 337
arcs_res = os.path.join(
mcvine_resources, 'instruments/ARCS/resources',)
pixelpositionsfile = os.path.join(
arcs_res, 'pixelID2position.bin')
solidanglesfile = os.path.join(
arcs_res, 'solidangles.bin')
npixels = 117760
import pyre.units.length
import pyre.units.energy
import pyre.units.time
iqe = events2IQE(
eventsfile, nevents,
outfile,
pixelpositionsfile,
solidanglesfile,
npixels,
mod2sample=13.6*pyre.units.length.meter,
Ei=700*pyre.units.energy.meV,
Qaxis=(9.5,10.5,0.02), Eaxis=(30,120,1.),
tofUnit=1*pyre.units.time.microsecond,
toffset=0*pyre.units.time.s,
tofmax=0.015*pyre.units.time.s,
)
global interactive
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(iqe)
return
def test1(self):
'NDMonitor'
from mcni.components.NDMonitor import NDMonitor, Axis
xaxis = Axis(
name = 'x', expression='x',
bins = 100, range=(0, 1000.),
unit = 'meter',
)
m = NDMonitor('abc', [xaxis])
N = 100
from mcni import neutron_buffer, neutron
b = neutron_buffer(N)
for i in range(N):
b[i] = neutron()
continue
m.process(b)
self.assertEqual(m.histogram.I[0], N)
self.assertEqual(m.histogram.E2[0], N)
self.assertEqual(m.histogram.I[1], 0.)
self.assertEqual(m.histogram.E2[1], 0.)
if interactive:
from histogram.plotter import defaultPlotter as plotter
plotter.plot(m.histogram)
return
def test1(self):
from mccomponents.detector.reduction_utils import events2IQE
eventsfile = 'events.dat'
outfile = 'intensities.dat'
nevents = 337
arcs_res = os.path.join(
mcvine_resources,
'instruments/ARCS/resources',
)
pixelpositionsfile = os.path.join(arcs_res, 'pixelID2position.bin')
solidanglesfile = os.path.join(arcs_res, 'solidangles.bin')
npixels = 117760
import pyre.units.length
import pyre.units.energy
import pyre.units.time
iqe = events2IQE(
eventsfile,
nevents,
outfile,
pixelpositionsfile,
solidanglesfile,
npixels,
mod2sample=13.6 * pyre.units.length.meter,
Ei=700 * pyre.units.energy.meV,
Qaxis=(9.5, 10.5, 0.02),
Eaxis=(30, 120, 1.),
tofUnit=1 * pyre.units.time.microsecond,
toffset=0 * pyre.units.time.s,
tofmax=0.015 * pyre.units.time.s,
)
global interactive
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(iqe)
return
def run(
ncount=1e7,
nodes=5,
Ei=700.,
E_Q="Q*Q/3",
S_Q="1",
sigma_Q='Q/2.',
Qmin=0,
Qmax=10.,
Qstep=0.1,
Emin=0,
Emax=50.,
Estep=1.,
mod2sample='../mod2sample',
):
Ei_user = Ei
Ei = computeAverageEnergy()
if abs(Ei - Ei_user) / Ei > 0.1:
raise ValueError, "nominal energy %s is too different from average energy at sample position %s" % (
Ei_user, Ei)
import os
incident_neutrons = 'incident-neutrons'
if not os.path.exists(incident_neutrons):
os.link('../mod2sample/out/neutrons', 'incident-neutrons')
# create scattering kernel file
createScatteringKernel(
E_Q=E_Q,
S_Q=S_Q,
sigma_Q=sigma_Q,
Qmin=Qmin,
Qmax=Qmax,
)
# run main sim
cmd = './sssd --ncount=%s --mpirun.nodes=%s' % (ncount, nodes)
execute(cmd)
# reduce events to S(Q,E)
eventsdat = 'out/events.dat'
Qaxis = Qmin, Qmax, Qstep
Eaxis = Emin, Emax, Estep
Ei, toffset = getEiToffset(mod2sample)
iqe = reduceToIQE(eventsdat, Ei, toffset, Qaxis, Eaxis)
from histogram.hdf import dump
dump(iqe, 'iqe.h5', '/', 'c')
global interactive
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(iqe)
# quick analysis of S(Q,E) (without detector and sample size effects)
cmd = ['./analyze-sqe ']
cmd.append('--mpirun.nodes=%s' % nodes)
cmd.append('--ncount=%s --monitor.Ei=%s' % (ncount, Ei))
cmd.append(' --monitor.Qmin=%s --monitor.Qmax=%s' % (Qmin, Qmax))
cmd.append(' --monitor.Emin=%s --monitor.Emax=%s' % (Emin, Emax))
cmd = ' '.join(cmd)
# execute(cmd)
return
def hist2png( h, filename = None ):
p.plot( h )
if filename is None: filename = h.name()
ps = '%s.ps' % filename
png = '%s.png' % filename
pylab.savefig( ps )
os.system( 'convert %s %s' % (ps, png) )
return png
def run(scattering_rundir, nodes, ncount=None):
# sendneutronstodetsys(scattering_rundir, nodes, ncount=ncount)
eventsdat = 'out/events.dat'
iqe = reduceToIQE(eventsdat)
from histogram.hdf import dump
dump(iqe, 'iqe.h5', '/', 'c')
from histogram.plotter import defaultPlotter
defaultPlotter.plot(iqe)
return
def test(self):
"wrap IQE_monitor"
from mcstas2 import componentfactory
category = 'monitors'
componentname = 'IQE_monitor'
factory = componentfactory(category, componentname)
Qmin = 0
Qmax = 13.
nQ = 130
Emin = -50
Emax = 50.
nE = 100
component = factory(
'component',
Ei=Ei,
Qmin=Qmin,
Qmax=Qmax,
nQ=nQ,
Emin=Emin,
Emax=Emax,
nE=nE,
max_angle_out_of_plane=30,
min_angle_out_of_plane=-30,
max_angle_in_plane=120,
min_angle_in_plane=-30,
)
scatterer = makeScatterer()
import mcni
N = 10000
neutrons = mcni.neutron_buffer(N)
for i in range(N):
neutron = mcni.neutron(r=(0, 0, 0), v=(0, 0, vi), time=0, prob=1)
scatterer.scatter(neutron)
neutrons[i] = neutron
#print neutrons[i]
continue
component.process(neutrons)
hist = get_histogram(component)
import os
f = os.path.basename(__file__)
filename = 'IQE-%s.h5' % f
if os.path.exists(filename): os.remove(filename)
import histogram.hdf as hh
hh.dump(hist, filename, '/', 'c')
if self.interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(hist)
return
def test2(self):
'create a SQE histogram from data and plot it'
from histogram import histogram, arange
sqe = histogram(
name = 'S(Q,E)',
axes = [('Q', arange(0,12,0.1), 'angstrom**-1'),
('E', arange(-50,50, 1.), 'meV')],
)
sqe.I[:] = 1
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(sqe)
return
def test1(self):
'create a SQE histogram from function and plot it'
from histogram import histogram, arange
sqe = histogram(
name = 'S(Q,E)',
axes = [('Q', arange(0,12,0.1), 'angstrom**-1'),
('E', arange(-50,50, 1.), 'meV')],
fromfunction = lambda q,e: q**2+e**2,
)
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(sqe)
return
def run(
ncount=1e7,
nodes=5,
Ei=700.,
E_Q="Q*Q/3",
S_Q="1",
sigma_Q='Q/2.',
Qmin=0,
Qmax=10.,
Qstep=0.1,
Emin=0,
Emax=50.,
Estep=1.,
):
# create scattering kernel file
createScatteringKernel(
E_Q=E_Q,
S_Q=S_Q,
sigma_Q=sigma_Q,
Qmin=Qmin,
Qmax=Qmax,
)
# run main sim
cmd = './sssd --source.energy=%s --ncount=%s --mpirun.nodes=%s' % (
Ei, ncount, nodes)
execute(cmd)
# reduce events to S(Q,E)
eventsdat = 'out/events.dat'
Qaxis = Qmin, Qmax, Qstep
Eaxis = Emin, Emax, Estep
toffset = 0
iqe = reduceToIQE(eventsdat, Ei, toffset, Qaxis, Eaxis)
from histogram.hdf import dump
dump(iqe, 'iqe.h5', '/', 'c')
global interactive
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(iqe)
# quick analysis of S(Q,E) (without detector and sample size effects)
cmd = ['./analyze-sqe ']
cmd.append('--mpirun.nodes=%s' % nodes)
cmd.append('--ncount=%s --monitor.Ei=%s' % (ncount, Ei))
cmd.append(' --monitor.Qmin=%s --monitor.Qmax=%s' % (Qmin, Qmax))
cmd.append(' --monitor.Emin=%s --monitor.Emax=%s' % (Emin, Emax))
cmd = ' '.join(cmd)
# execute(cmd)
return
def run(
ncount=1e7, nodes=5,
Ei=700.,
E_Q="Q*Q/3", S_Q="1",
Qmin=0, Qmax=10., Qstep=0.1,
Emin=0, Emax=50., Estep=1.,
mod2sample='../mod2sample',
):
Ei_user = Ei
Ei = computeAverageEnergy()
if abs(Ei-Ei_user)/Ei > 0.1:
raise ValueError, "nominal energy %s is too different from average energy at sample position %s" % (Ei_user, Ei)
import os
incident_neutrons = 'incident-neutrons'
if not os.path.exists(incident_neutrons):
os.link('../mod2sample/out/neutrons', 'incident-neutrons')
# create scattering kernel file
createScatteringKernel(
E_Q=E_Q, S_Q=S_Q,
Qmin=Qmin, Qmax=Qmax,
)
# run main sim
cmd = './sssd --ncount=%s --mpirun.nodes=%s' % (ncount, nodes)
execute(cmd)
# reduce events to S(Q,E)
eventsdat = 'out/events.dat'
Qaxis = Qmin, Qmax, Qstep
Eaxis = Emin, Emax, Estep
Ei, toffset = getEiToffset(mod2sample)
iqe = reduceToIQE(eventsdat, Ei, toffset, Qaxis, Eaxis)
from histogram.hdf import dump
dump(iqe, 'iqe.h5', '/', 'c')
global interactive
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(iqe)
# quick analysis of S(Q,E) (without detector and sample size effects)
cmd = ['./analyze-sqe ']
cmd.append('--mpirun.nodes=%s' % nodes)
cmd.append('--ncount=%s --monitor.Ei=%s' % (ncount, Ei))
cmd.append(' --monitor.Qmin=%s --monitor.Qmax=%s' % (Qmin, Qmax))
cmd.append(' --monitor.Emin=%s --monitor.Emax=%s' % (Emin, Emax))
cmd = ' '.join(cmd)
execute(cmd)
return
def test(self):
"wrap IQE_monitor"
from mcstas2 import componentfactory
factory = componentfactory(category, componentname)
Qmin = 0
Qmax = 13.
nQ = 130
Emin = -50
Emax = 50.
nE = 100
component = factory(
'component',
Ei=Ei,
Qmin=Qmin,
Qmax=Qmax,
nQ=nQ,
Emin=Emin,
Emax=Emax,
nE=nE,
max_angle_out_of_plane=30,
min_angle_out_of_plane=-30,
max_angle_in_plane=120,
min_angle_in_plane=-30,
)
kernel = makeKernel()
import mcni
N = 10000
neutrons = mcni.neutron_buffer(N)
for i in range(N):
neutron = mcni.neutron(r=(0, 0, 0), v=(0, 0, vi), time=0, prob=1)
kernel.scatter(neutron)
neutrons[i] = neutron
#print neutrons[i]
continue
component.process(neutrons)
from mcstas2.pyre_support._component_interfaces.monitors.IQE_monitor import get_histogram
hist = get_histogram(component)
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(hist)
return
def test(self):
"wrap IQE_monitor"
from mcstas2 import componentfactory
category = 'monitors'
componentname = 'IQE_monitor'
factory = componentfactory( category, componentname )
Qmin=0; Qmax=13.; nQ=130
Emin=-50; Emax=50.; nE=100
component = factory(
'component',
Ei=Ei,
Qmin=Qmin, Qmax=Qmax, nQ=nQ,
Emin=Emin, Emax=Emax, nE=nE,
max_angle_out_of_plane=30, min_angle_out_of_plane=-30,
max_angle_in_plane=120, min_angle_in_plane=-30,
)
scatterer = makeScatterer()
import mcni
N = 10000
neutrons = mcni.neutron_buffer( N )
for i in range(N):
neutron = mcni.neutron(r=(0,0,0), v=(0,0,vi), time=0, prob=1)
scatterer.scatter(neutron)
neutrons[i] = neutron
#print neutrons[i]
continue
component.process( neutrons )
hist = get_histogram(component)
import os
f = os.path.basename(__file__)
filename = 'IQE-%s.h5' % f
if os.path.exists(filename): os.remove(filename)
import histogram.hdf as hh
hh.dump(hist, filename, '/', 'c')
if self.interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(hist)
return
def test(self):
"wrap IQE_monitor"
from mcstas2 import componentfactory
factory = componentfactory( category, componentname )
Ei = 70
Qmin=0; Qmax=13.; nQ=130
Emin=-50; Emax=50.; nE=100
component = factory(
'component',
Ei=Ei,
Qmin=Qmin, Qmax=Qmax, nQ=nQ,
Emin=Emin, Emax=Emax, nE=nE,
max_angle_out_of_plane=30, min_angle_out_of_plane=-30,
max_angle_in_plane=120, min_angle_in_plane=-30,
)
import mcni
from mcni.utils import conversion as C
neutrons = mcni.neutron_buffer( nQ*nE )
import numpy as N
count = 0
for Q in N.arange(Qmin, Qmax, (Qmax-Qmin)/nQ):
for E in N.arange(Emin,Emax,(Emax-Emin)/nE):
Ef = Ei-E
cosphi = (Ei+Ef-C.k2e(Q))/(2*N.sqrt(Ei)*N.sqrt(Ef))
vf = C.e2v(Ef)
vfz = vf*cosphi
sinphi = N.sqrt(1-cosphi*cosphi)
vfx = vf*sinphi
neutrons[count] = mcni.neutron(r=(0,0,0), v=(vfx,0,vfz), time = 0, prob = 1)
count += 1
continue
component.process( neutrons )
from mcstas2.pyre_support._component_interfaces.monitors.IQE_monitor import get_histogram
hist = get_histogram(component)
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(hist)
return
def test(self):
"fccNi kernel constructed by hand"
from mcstas2 import componentfactory
category = 'monitors'
componentname = 'IQE_monitor'
factory = componentfactory( category, componentname )
Qmin=0; Qmax=13.; nQ=130
Emin=-50; Emax=50.; nE=100
component = factory(
'component',
Ei=Ei,
Qmin=Qmin, Qmax=Qmax, nQ=nQ,
Emin=Emin, Emax=Emax, nE=nE,
max_angle_out_of_plane=30, min_angle_out_of_plane=-30,
max_angle_in_plane=120, min_angle_in_plane=-30,
)
kernel = makeKernel()
import mcni
# N = 500000 # needs about 20 minutes on a Intel Core2 Duo 2.53GHz virtual machine, ubuntu 10.04LTS on a 2.53GHz Intel Core 2 Duo Macbook
N = 10000
neutrons = mcni.neutron_buffer( N )
for i in range(N):
neutron = mcni.neutron(r=(0,0,0), v=(0,0,vi), time=0, prob=1)
kernel.scatter(neutron)
neutrons[i] = neutron
#print neutrons[i]
continue
component.process( neutrons )
hist = get_histogram(component)
if self.interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(hist)
return
def run(
ncount=1e7, nodes=5,
Ei=700.,
E_Q="Q*Q/3", S_Q="1", sigma_Q='Q/2.',
Qmin=0, Qmax=10., Qstep=0.1,
Emin=0, Emax=50., Estep=1.,
):
# create scattering kernel file
createScatteringKernel(
E_Q=E_Q, S_Q=S_Q, sigma_Q=sigma_Q,
Qmin=Qmin, Qmax=Qmax,
)
# run main sim
cmd = './sssd --source.energy=%s --ncount=%s --mpirun.nodes=%s' % (
Ei, ncount, nodes)
execute(cmd)
# reduce events to S(Q,E)
eventsdat = 'out/events.dat'
Qaxis = Qmin, Qmax, Qstep
Eaxis = Emin, Emax, Estep
toffset = 0
iqe = reduceToIQE(eventsdat, Ei, toffset, Qaxis, Eaxis)
from histogram.hdf import dump
dump(iqe, 'iqe.h5', '/', 'c')
global interactive
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(iqe)
# quick analysis of S(Q,E) (without detector and sample size effects)
cmd = ['./analyze-sqe ']
cmd.append('--mpirun.nodes=%s' % nodes)
cmd.append('--ncount=%s --monitor.Ei=%s' % (ncount, Ei))
cmd.append(' --monitor.Qmin=%s --monitor.Qmax=%s' % (Qmin, Qmax))
cmd.append(' --monitor.Emin=%s --monitor.Emax=%s' % (Emin, Emax))
cmd = ' '.join(cmd)
# execute(cmd)
return
def test(self):
"wrap IQE_monitor"
from mcstas2 import componentfactory
factory = componentfactory( category, componentname )
Qmin=0; Qmax=13.; nQ=130
Emin=-50; Emax=50.; nE=100
component = factory(
'component',
Ei=Ei,
Qmin=Qmin, Qmax=Qmax, nQ=nQ,
Emin=Emin, Emax=Emax, nE=nE,
max_angle_out_of_plane=30, min_angle_out_of_plane=-30,
max_angle_in_plane=120, min_angle_in_plane=-30,
)
kernel = makeKernel()
import mcni
N = 10000
neutrons = mcni.neutron_buffer( N )
for i in range(N):
neutron = mcni.neutron(r=(0,0,0), v=(0,0,vi), time=0, prob=1)
kernel.scatter(neutron)
neutrons[i] = neutron
#print neutrons[i]
continue
component.process( neutrons )
from mcstas2.pyre_support._component_interfaces.monitors.IQE_monitor import get_histogram
hist = get_histogram(component)
if interactive:
from histogram.plotter import defaultPlotter
defaultPlotter.plot(hist)
return
#!/usr/bin/env python
# Note: Before using this script make sure that "out/ixyt.h5" is generated!
from histogram.hdf import load
from histogram.plotter import defaultPlotter as dp
import sys
f = sys.argv[1]
# h = load('out/monitor_0.h5', 'ix_y_t')
# h = load('out/monitor_1.h5', 'ix_y_t')
# h = load('out/detector.h5', 'ix_y_t')
# h = load('out/rank0-step0/detector.h5', 'ix_y_t')
h = load(f, 'ix_y_t')
ixy = h.sum('t')
iyt = h.sum('x')
it = iyt.sum('y')
dp.plot(ixy)
#!/usr/bin/env python
# Note: Before using this script make sure that "out/ixyt.h5" is generated!
from histogram.hdf import load
from histogram.plotter import defaultPlotter as dp
import sys
f = sys.argv[1]
# h = load('out/monitor_0.h5', 'ix_y_t')
# h = load('out/monitor_1.h5', 'ix_y_t')
# h = load('out/detector.h5', 'ix_y_t')
# h = load('out/rank0-step0/detector.h5', 'ix_y_t')
h = load(f, "ix_y_t")
ixy = h.sum("t")
iyt = h.sum("x")
it = iyt.sum("y")
dp.plot(ixy)
#!/usr/bin/env python import sys path = sys.argv[1] from mccomponents.sample.idf import readSQE sqe = readSQE( path ) from histogram.plotter import defaultPlotter defaultPlotter.plot( sqe )