def inner(acc, **kwargs):
"""Get counts on a set of channels"""
local_kwargs = {}
if "frames" in kwargs:
local_kwargs["frames"] = kwargs["frames"] + g.get_frames()
if "uamps" in kwargs:
local_kwargs["uamps"] = kwargs["uamps"] + g.get_frames()
g.resume()
g.waitfor(**local_kwargs)
g.pause()
# Ensure that get_spectrum actually returns a value
spec = None
while spec is None:
spec = g.get_spectrum(1, g.get_period())
base = sum(g.get_spectrum(1, period=g.get_period())["signal"]) * 100.0
pols = [Average(0, base) for _ in spectra_list]
for idx, spectra in enumerate(spectra_list):
for channel in spectra:
# Ensure that get_spectrum actually returns a value
spec = None
while spec is None:
spec = g.get_spectrum(channel, g.get_period())
temp = sum(spec["signal"])
pols[idx] += Average(temp * 100.0, 0.0)
if len(pols) == 1:
return acc, pols[0]
return acc, MonoidList(pols)
def inner_pol(**kwargs):
"""
Get a single polarisation measurement
"""
slices = [
slice(222, 666),
slice(222, 370),
slice(370, 518),
slice(518, 666)
]
i = g.get_period()
g.change(period=i + 1)
flipper1(1)
g.waitfor_move()
gfrm = g.get_frames()
g.resume()
g.waitfor(frames=gfrm + kwargs["frames"])
g.pause()
flipper1(0)
g.change(period=i + 2)
gfrm = g.get_frames()
g.resume()
g.waitfor(frames=gfrm + kwargs["frames"])
g.pause()
pols = [Polarisation.zero() for _ in slices]
for channel in spectra:
mon1 = g.get_spectrum(1, i + 1)
spec1 = g.get_spectrum(channel, i + 1)
mon2 = g.get_spectrum(1, i + 2)
spec2 = g.get_spectrum(channel, i + 2)
for idx, slc in enumerate(slices):
ups = Average(
np.sum(spec1["signal"][slc]) * 100.0,
np.sum(mon1["signal"]) * 100.0)
down = Average(
np.sum(spec2["signal"][slc]) * 100.0,
np.sum(mon2["signal"]) * 100.0)
pols[idx] += Polarisation(ups, down)
return MonoidList(pols)
def scan_axis(axis,startval,endval,npoints,frms,rtitle,usem4=0):
lm.setuplarmor_nrscanning()
gen.change(title=rtitle)
gen.change(nperiods=npoints)
gen.begin(paused=1)
# setup the scan arrays and figure
xval=np.zeros(npoints)
yval=np.zeros(npoints)
eval=np.zeros(npoints)
stepsize=(endval-startval)/float(npoints-1)
for i in range(npoints):
xval[i]=(startval+i*stepsize)
mpl.ion()
fig1=mpl.figure(1)
mpl.clf()
ax = mpl.subplot(111)
#ax.set_xlim((0,4))
ax.set_xlabel(axis)
ax.set_ylabel('Normalised Neutron counts')
# reasonable x-Axis, necessary to get the full window from the first datapoint
scanrange = np.absolute(endval - startval)
mpl.xlim((startval-scanrange*0.05, endval+scanrange*0.05))
mpl.draw()
mpl.pause(0.001)
for i in range(npoints):
gen.change(period=i+1)
cset_str(axis,xval[i])
gen.waitfor(seconds=1)
gen.waitfor_move()
gfrm=gen.get_frames()
gen.resume()
gen.waitfor(frames=gfrm+frms)
gen.pause()
a1=gen.get_spectrum(1,i+1)
msig=sum(a1['signal'])*100.0
mesig=(math.sqrt(msig))
print "msig="+str(msig)+" mesig="+str(mesig)
# get the interesting monitor
if usem4 < 1:
a1=gen.get_spectrum(11,i+1)
sig=sum(a1['signal'])*100.0
a1=gen.get_spectrum(12,i+1)
sig+=sum(a1['signal'])*100.0
esig=math.sqrt(sig)
else:
a1=gen.get_spectrum(4,i+1)
sig=sum(a1['signal'])*100.0
esig=math.sqrt(sig)
print "sig="+str(sig)+" esig="+str(esig)
yval[i]=(sig/msig)
eval[i]=(math.sqrt((sig/(msig*msig))+(sig*sig/(msig*msig*msig))))
print "yval="+str(yval[i])+" esig="+str(eval[i])
ax.errorbar(xval[i], yval[i], eval[i], fmt = 'ko')
fig1.canvas.draw()
mpl.pause(0.001)
f.open('u:/users/Larmor/lastscan.csv','w')
s=str(xval[i])+','+str(yval[i])+','+str(eval[i])+'\n'
f.write(s)
f.close()
gen.abort()
#f.open('u:/users/Larmor/lastscan.csv','w')
#for i in range(npoints):
# s=str(xval[i])+','+str(yval[i])+','+str(eval[i])+'\n'
# f.write(s)
#f.close()
'''
def polscan_axis(axis,startval,endval,npoints,frms,rtitle):
lm.setuplarmor_nrscanning()
gen.change(title=rtitle)
gen.change(nperiods=npoints*2)
gen.begin(paused=1)
# setup the scan arrays and figure
xval=np.zeros(npoints)
yval=np.zeros(npoints)
eval=np.zeros(npoints)
stepsize=(endval-startval)/float(npoints-1)
for i in range(npoints):
xval[i]=(startval+i*stepsize)
mpl.ion()
fig1=mpl.figure(1)
mpl.clf()
ax = mpl.subplot(111)
#ax.set_xlim((0,4))
ax.set_xlabel(axis)
ax.set_ylabel('Normalised Neutron counts')
# reasonable x-Axis, necessary to get the full window from the first datapoint
scanrange = np.absolute(endval - startval)
mpl.xlim((startval-scanrange*0.05, endval+scanrange*0.05))
mpl.draw()
mpl.pause(0.001)
flipper1(1)
for i in range(npoints):
gen.change(period=(i*2)+1)
cset_str(axis,xval[i])
flipper2(0)
gen.waitfor_move()
gfrm=gen.get_frames()
resume()
gen.waitfor(frames=gfrm+frms)
pause()
flipper2(1)
gen.change(period=(i*2)+2)
gfrm=gen.get_frames()
resume()
gen.waitfor(frames=gfrm+frms)
pause()
a1=gen.get_spectrum(1,(i*2)+1)
msigup=sum(a1['signal'])*100.0
mesigup=(sqrt(msigup))
# get the interesting monitor
a1=gen.get_spectrum(11,(i*2)+1)
sigup=sum(a1['signal'])*100.0
a1=gen.get_spectrum(12,(i*2)+1)
sigup+=sum(a1['signal'])*100.0
esigup=sqrt(sigup)
a1=gen.get_spectrum(1,(i*2)+2)
msigdo=sum(a1['signal'])*100.0
mesigdo=(sqrt(msigdo))
# get the interesting monitor
a1=gen.get_spectrum(11,(i*2)+2)
sigdo=sum(a1['signal'])*100.0
a1=gen.get_spectrum(12,(i*2)+2)
sigdo+=sum(a1['signal'])*100.0
esigdo=sqrt(sigdo)
yval[i]=(sigup-sigdo)/(sigup+sigdo)
eval[i]=yval[i]*1e-3
#eval[i]=(sqrt((sig/(msig*msig))+(sig*sig/(msig*msig*msig))))
ax.errorbar(xval[i], yval[i], eval[i], fmt = 'ko')
fig1.canvas.draw()
mpl.pause(0.001)
abort()
def scan_axis_mantid(axis,startval,endval,npoints,frms,rtitle,usem4=0):
lm.setuplarmor_nrscanning()
gen.change(title=rtitle)
gen.change(nperiods=npoints)
gen.begin(paused=1)
# setup the scan arrays and figure
xval=np.zeros(npoints)
yval=np.zeros(npoints)
eval=np.zeros(npoints)
stepsize=(endval-startval)/float(npoints-1)
for i in range(npoints):
xval[i]=(startval+i*stepsize)
gui_cmd(mpl.ion)
fig1=gui_cmd(mpl.figure,1)
gui_cmd(mpl.clf)
ax=gui_cmd(mpl.subplot,111)
#ax.set_xlim((0,4))
gui_cmd(ax.set_xlabel,axis)
gui_cmd(ax.set_ylabel,'Normalised Neutron counts')
# reasonable x-Axis, necessary to get the full window from the first datapoint
scanrange = np.absolute(endval - startval)
gui_cmd(mpl.xlim,(startval-scanrange*0.05, endval+scanrange*0.05))
gui_cmd(mpl.draw)
gui_cmd(mpl.pause,0.001)
for i in range(npoints):
gen.change(period=i+1)
cset_str(axis,xval[i])
sleep(15)
#gen.waitfor_move()
gfrm=gen.get_frames()
gen.resume()
gen.waitfor(frames=gfrm+frms)
gen.pause()
a1=gen.get_spectrum(1,i+1)
msig=sum(a1['signal'])*100.0
mesig=(math.sqrt(msig))
print "msig="+str(msig)+" mesig="+str(mesig)
# get the interesting monitor
if usem4 < 1:
a1=gen.get_spectrum(11,i+1)
sig=sum(a1['signal'])*100.0
a1=gen.get_spectrum(12,i+1)
sig+=sum(a1['signal'])*100.0
esig=math.sqrt(sig)
else:
a1=gen.get_spectrum(4,i+1)
sig=sum(a1['signal'])*100.0
esig=math.sqrt(sig)
print "sig="+str(sig)+" esig="+str(esig)
yval[i]=(sig/msig)
eval[i]=(math.sqrt((sig/(msig*msig))+(sig*sig/(msig*msig*msig))))
print "yval="+str(yval[i])+" esig="+str(eval[i])
gui_cmd(ax.errorbar,xval[i], yval[i], eval[i], fmt = 'ko')
gui_cmd(fig1.canvas.draw)
gui_cmd(mpl.pause,0.001)
gen.abort()
def scan_axis(axis, startval, endval, npoints, frms, rtitle, usem4=0):
lm.setuplarmor_nrscanning()
gen.change(title=rtitle)
gen.change(nperiods=npoints)
gen.begin(paused=1)
# setup the scan arrays and figure
xval = np.zeros(npoints)
yval = np.zeros(npoints)
eval = np.zeros(npoints)
stepsize = (endval - startval) / float(npoints - 1)
for i in range(npoints):
xval[i] = (startval + i * stepsize)
mpl.ion()
fig1 = mpl.figure(1)
mpl.clf()
ax = mpl.subplot(111)
#ax.set_xlim((0,4))
ax.set_xlabel(axis)
ax.set_ylabel('Normalised Neutron counts')
# reasonable x-Axis, necessary to get the full window from the first datapoint
scanrange = np.absolute(endval - startval)
mpl.xlim((startval - scanrange * 0.05, endval + scanrange * 0.05))
mpl.draw()
mpl.pause(0.001)
for i in range(npoints):
gen.change(period=i + 1)
cset_str(axis, xval[i])
gen.waitfor(seconds=1)
gen.waitfor_move()
gfrm = gen.get_frames()
gen.resume()
gen.waitfor(frames=gfrm + frms)
gen.pause()
a1 = gen.get_spectrum(1, i + 1)
msig = sum(a1['signal']) * 100.0
mesig = (math.sqrt(msig))
print "msig=" + str(msig) + " mesig=" + str(mesig)
# get the interesting monitor
if usem4 < 1:
a1 = gen.get_spectrum(11, i + 1)
sig = sum(a1['signal']) * 100.0
a1 = gen.get_spectrum(12, i + 1)
sig += sum(a1['signal']) * 100.0
esig = math.sqrt(sig)
else:
a1 = gen.get_spectrum(4, i + 1)
sig = sum(a1['signal']) * 100.0
esig = math.sqrt(sig)
print "sig=" + str(sig) + " esig=" + str(esig)
yval[i] = (sig / msig)
eval[i] = (math.sqrt((sig / (msig * msig)) + (sig * sig /
(msig * msig * msig))))
print "yval=" + str(yval[i]) + " esig=" + str(eval[i])
ax.errorbar(xval[i], yval[i], eval[i], fmt='ko')
fig1.canvas.draw()
mpl.pause(0.001)
f.open('u:/users/Larmor/lastscan.csv', 'w')
s = str(xval[i]) + ',' + str(yval[i]) + ',' + str(eval[i]) + '\n'
f.write(s)
f.close()
gen.abort()
#f.open('u:/users/Larmor/lastscan.csv','w')
#for i in range(npoints):
# s=str(xval[i])+','+str(yval[i])+','+str(eval[i])+'\n'
# f.write(s)
#f.close()
'''
def polscan_axis(axis, startval, endval, npoints, frms, rtitle):
lm.setuplarmor_nrscanning()
gen.change(title=rtitle)
gen.change(nperiods=npoints * 2)
gen.begin(paused=1)
# setup the scan arrays and figure
xval = np.zeros(npoints)
yval = np.zeros(npoints)
eval = np.zeros(npoints)
stepsize = (endval - startval) / float(npoints - 1)
for i in range(npoints):
xval[i] = (startval + i * stepsize)
mpl.ion()
fig1 = mpl.figure(1)
mpl.clf()
ax = mpl.subplot(111)
#ax.set_xlim((0,4))
ax.set_xlabel(axis)
ax.set_ylabel('Normalised Neutron counts')
# reasonable x-Axis, necessary to get the full window from the first datapoint
scanrange = np.absolute(endval - startval)
mpl.xlim((startval - scanrange * 0.05, endval + scanrange * 0.05))
mpl.draw()
mpl.pause(0.001)
flipper1(1)
for i in range(npoints):
gen.change(period=(i * 2) + 1)
cset_str(axis, xval[i])
flipper2(0)
gen.waitfor_move()
gfrm = gen.get_frames()
resume()
gen.waitfor(frames=gfrm + frms)
pause()
flipper2(1)
gen.change(period=(i * 2) + 2)
gfrm = gen.get_frames()
resume()
gen.waitfor(frames=gfrm + frms)
pause()
a1 = gen.get_spectrum(1, (i * 2) + 1)
msigup = sum(a1['signal']) * 100.0
mesigup = (sqrt(msigup))
# get the interesting monitor
a1 = gen.get_spectrum(11, (i * 2) + 1)
sigup = sum(a1['signal']) * 100.0
a1 = gen.get_spectrum(12, (i * 2) + 1)
sigup += sum(a1['signal']) * 100.0
esigup = sqrt(sigup)
a1 = gen.get_spectrum(1, (i * 2) + 2)
msigdo = sum(a1['signal']) * 100.0
mesigdo = (sqrt(msigdo))
# get the interesting monitor
a1 = gen.get_spectrum(11, (i * 2) + 2)
sigdo = sum(a1['signal']) * 100.0
a1 = gen.get_spectrum(12, (i * 2) + 2)
sigdo += sum(a1['signal']) * 100.0
esigdo = sqrt(sigdo)
yval[i] = (sigup - sigdo) / (sigup + sigdo)
eval[i] = yval[i] * 1e-3
#eval[i]=(sqrt((sig/(msig*msig))+(sig*sig/(msig*msig*msig))))
ax.errorbar(xval[i], yval[i], eval[i], fmt='ko')
fig1.canvas.draw()
mpl.pause(0.001)
abort()
def scan_axis_mantid(axis, startval, endval, npoints, frms, rtitle, usem4=0):
lm.setuplarmor_nrscanning()
gen.change(title=rtitle)
gen.change(nperiods=npoints)
gen.begin(paused=1)
# setup the scan arrays and figure
xval = np.zeros(npoints)
yval = np.zeros(npoints)
eval = np.zeros(npoints)
stepsize = (endval - startval) / float(npoints - 1)
for i in range(npoints):
xval[i] = (startval + i * stepsize)
gui_cmd(mpl.ion)
fig1 = gui_cmd(mpl.figure, 1)
gui_cmd(mpl.clf)
ax = gui_cmd(mpl.subplot, 111)
#ax.set_xlim((0,4))
gui_cmd(ax.set_xlabel, axis)
gui_cmd(ax.set_ylabel, 'Normalised Neutron counts')
# reasonable x-Axis, necessary to get the full window from the first datapoint
scanrange = np.absolute(endval - startval)
gui_cmd(mpl.xlim, (startval - scanrange * 0.05, endval + scanrange * 0.05))
gui_cmd(mpl.draw)
gui_cmd(mpl.pause, 0.001)
for i in range(npoints):
gen.change(period=i + 1)
cset_str(axis, xval[i])
sleep(15)
#gen.waitfor_move()
gfrm = gen.get_frames()
gen.resume()
gen.waitfor(frames=gfrm + frms)
gen.pause()
a1 = gen.get_spectrum(1, i + 1)
msig = sum(a1['signal']) * 100.0
mesig = (math.sqrt(msig))
print "msig=" + str(msig) + " mesig=" + str(mesig)
# get the interesting monitor
if usem4 < 1:
a1 = gen.get_spectrum(11, i + 1)
sig = sum(a1['signal']) * 100.0
a1 = gen.get_spectrum(12, i + 1)
sig += sum(a1['signal']) * 100.0
esig = math.sqrt(sig)
else:
a1 = gen.get_spectrum(4, i + 1)
sig = sum(a1['signal']) * 100.0
esig = math.sqrt(sig)
print "sig=" + str(sig) + " esig=" + str(esig)
yval[i] = (sig / msig)
eval[i] = (math.sqrt((sig / (msig * msig)) + (sig * sig /
(msig * msig * msig))))
print "yval=" + str(yval[i]) + " esig=" + str(eval[i])
gui_cmd(ax.errorbar, xval[i], yval[i], eval[i], fmt='ko')
gui_cmd(fig1.canvas.draw)
gui_cmd(mpl.pause, 0.001)
gen.abort()
