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 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_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 __exit__(self, typ, value, traceback):
if self._save:
g.end()
else:
g.abort()
