def SineMod4(self, p0, dt, freq, depth): """Sine wave modulation on channel""" if dt <= 0.0: return else: N=int(math.floor(dt/self.ss)) ramp=[] hashbase = '%.8f,%.8f,%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f ' % ( b,m1,m2,m3,kink1,kink2, self.name, self.ss, p0, dt, freq, depth) ramphash = seqconf.ramps_dir() +'SineMod3_' \ + hashlib.md5( hashbase).hexdigest() if not os.path.exists(ramphash): print '...Making new SineMod4 ramp: %.2f +/- %.2f' % (p0, 0.5*p0*depth/100.) print '... [[ hashbase = %s ]]' % hashbase for xi in range(N): t = (xi+1)*self.ss phys = p0 + (0.5*p0*depth/100.)* math.sin( t * 2 * math.pi * freq/1000. ) volt = OdtpowConvert(phys) ramp = numpy.append(ramp, [ volt]) ramp.tofile(ramphash,sep=',',format="%.4f") else: print '...Recycling previously calculated SineMod3 ramp %.2f +/- %.2f' % (p0, 0.5*p0*depth/100.) print '... [[ hashbase = %s ]]' % hashbase ramp = numpy.fromfile(ramphash,sep=',') self.y=numpy.append(self.y,ramp) return
def Evap2(self, p0, p1, t1, tau, beta, offset, t2, tau2, duration): """Evaporation ramp v2""" if duration <=0: return else: N=int(round(duration/self.ss)) print '...Evap nsteps = ' + str(N) ramp=[] ramphash = seqconf.ramps_dir() + 'Evap2_' \ + hashlib.md5(str(self.name)+str(self.ss)+str(duration)+str(p0)+str(p1)+str(t1)+str(tau)+str(beta)\ + str(offset)+str(t2)+str(tau2)).hexdigest() if not os.path.exists(ramphash): print '...Making new Evap2 ramp' for xi in range(N): t = (xi+1)*self.ss phys = evap.v2(t,p0,p1,t1,tau,beta, offset,t2,tau2) volt = cnv(self.name,phys) ramp = numpy.append( ramp, [ volt]) ramp.tofile(ramphash,sep=',',format="%.4f") else: print '...Recycling previously calculated Evap2 ramp' ramp = numpy.fromfile(ramphash,sep=',') self.y=numpy.append(self.y,ramp) return
def linear_phys(self,vf,dt):
"""Adds linear ramp to waveform, starts at current last
value and goes to 'vf' in 'dt'"""
if self.lastPhys == None:
msg = "The last physics value is not available\n for this waveform."
msg = msg + "\n\nProgram will be stopped."
errormsg.box('wfm.linear_phys :: ' + self.name, msg)
exit(1)
print "...linear_phys last physical value is = %f" % self.lastPhys
v0 = self.lastPhys
#One could also obtain v0 via conversion, but it is not recommended
#v0=physics.cnv(self.name+"Phys",self.last())
if dt == 0.0:
self.y[ self.y.size -1] = physics.cnv(self.name,vf)
return
N = int(math.floor(dt/self.ss))
hashbase = ''
hashbase = hashbase + self.name
hashbase = hashbase + '%.8f' % vf
hashbase = hashbase + '%.8f' % v0
hashbase = hashbase + '%.8f' % N
hashbase = hashbase + '%.8f' % dt
hashbase = hashbase + rawcalibdat( self.name )
ramphash = seqconf.ramps_dir() + 'linearPhys_' \
+ hashlib.md5( hashbase ).hexdigest()
if not os.path.exists(ramphash) or True:
print '...Making new linearPhys ramp for ' + self.name
x = numpy.linspace( v0 + (vf-v0)/N , vf , N )
ramp = physics.cnv( self.name, x )
#yramp= numpy.array([cnv(self.name,v0 + 1.0*(vf-v0)*(i+1)/N) for i in range(N)])
#if ( numpy.absolute( yramp - ramp ) > 0.0001 ).any():
# print "NOT EQUAL!"
#else:
# print "EQUAL!"
#ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '...Recycling previously calculated linearPhys ramp for ' + self.name
ramp = numpy.fromfile(ramphash,sep=',')
self.y=numpy.append(self.y, ramp)
self.lastPhys = vf
return
def analogwfm_add(self,step,wfms):
""" analogwfm_add adds a waveform output ot the sequence.
aouts is an array of waveforms (instances of the wfm class)
The device is determined from the names of the wfm's
and a pulse is added to the DIGITAL_OUT that triggers
the device. This function makes sure that the added
waveform does not conflict with any waveform outputs
already in the sequence.
"""
aouts = []
#print("...start adding waveforms.")
ss0=0
for n,elem in enumerate(wfms):
if n == 0: ss0= elem.ss
if elem.ss != ss0:
print "Step Size doesn't match in Waveform."
for el in wfms:
print "Channel=",el.name,"\tStep Size=",el.ss
exit(1)
ss0 = elem.ss
for elem in wfms:
dict = {}
dict["name"] = elem.name
filename = seqconf.ramps_dir()+elem.name+ '_'+ elem.wfm_id() +'.txt'
elem.fileoutput(filename)
#print ("filename = %s" % filename)
dict["path"] = filename
aouts.append(dict)
#print("...end adding waveforms.")
status = self.analogwfm(step,aouts)
return status
def Evap3(self, p0, p1, t1, tau, beta, offset, t2, tau2, duration):
"""Evaporation ramp v2"""
if duration <= 0:
return
else:
N = int(round(duration / self.ss))
print '...Evap nsteps = ' + str(N)
ramp = []
hashbase = '%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f ' \
% ( b,m1,m2,kink, self.name, self.ss, duration, p0, p1, t1, tau, beta, offset, t2, tau2)
ramphash = seqconf.ramps_dir() +'Evap3_' \
+ hashlib.md5( hashbase).hexdigest()
if not os.path.exists(ramphash):
print '...Making new Evap3 ramp'
for xi in range(N):
t = (xi + 1) * self.ss
phys = evap.v2(t, p0, p1, t1, tau, beta, offset, t2, tau2)
volt = OdtpowConvert(phys)
ramp = numpy.append(ramp, [volt])
ramp.tofile(ramphash, sep=',', format="%.4f")
else:
print '...Recycling previously calculated Evap3 ramp'
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
#This returns the last value of the ramp
return evap.v2(N * self.ss, p0, p1, t1, tau, beta, offset, t2, tau2)
def Evap3(self, p0, p1, t1, tau, beta, offset, t2, tau2, duration): """Evaporation ramp v2""" if duration <=0: return else: N=int(round(duration/self.ss)) print '...Evap nsteps = ' + str(N) ramp=[] hashbase = '%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f ' \ % ( b,m1,m2,kink, self.name, self.ss, duration, p0, p1, t1, tau, beta, offset, t2, tau2) ramphash = seqconf.ramps_dir() +'Evap3_' \ + hashlib.md5( hashbase).hexdigest() if not os.path.exists(ramphash): print '...Making new Evap3 ramp' for xi in range(N): t = (xi+1)*self.ss phys = evap.v2(t,p0,p1,t1,tau,beta, offset,t2,tau2) volt = OdtpowConvert(phys) ramp = numpy.append( ramp, [ volt]) ramp.tofile(ramphash,sep=',',format="%.4f") else: print '...Recycling previously calculated Evap3 ramp' ramp = numpy.fromfile(ramphash,sep=',') self.y=numpy.append(self.y,ramp) #This returns the last value of the ramp return evap.v2(N*self.ss,p0,p1,t1,tau,beta,offset,t2,tau2)
def analogwfm_add(self,step,wfms):
""" analogwfm_add adds a waveform output ot the sequence.
aouts is an array of waveforms (instances of the wfm class)
The device is determined from the names of the wfm's
and a pulse is added to the DIGITAL_OUT that triggers
the device. This function makes sure that the added
waveform does not conflict with any waveform outputs
already in the sequence.
"""
aouts = []
#print("...start adding waveforms.")
for elem in wfms:
dict = {}
dict["name"] = elem.name
filename = seqconf.ramps_dir()+elem.name+ '_'+ elem.wfm_id() +'.txt'
elem.fileoutput(filename)
#print ("filename = %s" % filename)
dict["path"] = filename
aouts.append(dict)
#print("...end adding waveforms.")
status = self.analogwfm(step,aouts)
return status
def Evap2(self, p0, p1, t1, tau, beta, offset, t2, tau2, duration):
"""Evaporation ramp v2"""
if duration <= 0:
return
else:
N = int(round(duration / self.ss))
print '...Evap nsteps = ' + str(N)
ramp = []
ramphash = seqconf.ramps_dir() + 'Evap2_' \
+ hashlib.md5(str(self.name)+str(self.ss)+str(duration)+str(p0)+str(p1)+str(t1)+str(tau)+str(beta)\
+ str(offset)+str(t2)+str(tau2)).hexdigest()
if not os.path.exists(ramphash):
print '...Making new Evap2 ramp'
for xi in range(N):
t = (xi + 1) * self.ss
phys = evap.v2(t, p0, p1, t1, tau, beta, offset, t2, tau2)
volt = cnv(self.name, phys)
ramp = numpy.append(ramp, [volt])
ramp.tofile(ramphash, sep=',', format="%.4f")
else:
print '...Recycling previously calculated Evap2 ramp'
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
return
def SineMod4(self, p0, dt, freq, depth):
"""Sine wave modulation on channel"""
if dt <= 0.0:
return
else:
N = int(math.floor(dt / self.ss))
ramp = []
hashbase = '%.8f,%.8f,%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f ' % (
b, m1, m2, m3, kink1, kink2, self.name, self.ss, p0, dt, freq,
depth)
ramphash = seqconf.ramps_dir() +'SineMod3_' \
+ hashlib.md5( hashbase).hexdigest()
if not os.path.exists(ramphash):
print '...Making new SineMod4 ramp: %.2f +/- %.2f' % (
p0, 0.5 * p0 * depth / 100.)
print '... [[ hashbase = %s ]]' % hashbase
for xi in range(N):
t = (xi + 1) * self.ss
phys = p0 + (0.5 * p0 * depth / 100.) * math.sin(
t * 2 * math.pi * freq / 1000.)
volt = OdtpowConvert(phys)
ramp = numpy.append(ramp, [volt])
ramp.tofile(ramphash, sep=',', format="%.4f")
else:
print '...Recycling previously calculated SineMod3 ramp %.2f +/- %.2f' % (
p0, 0.5 * p0 * depth / 100.)
print '... [[ hashbase = %s ]]' % hashbase
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
return
def linear_phys(self, vf, dt):
"""Adds linear ramp to waveform, starts at current last
value and goes to 'vf' in 'dt'"""
if self.lastPhys == None:
msg = "The last physics value is not available\n for this waveform."
msg = msg + "\n\nProgram will be stopped."
errormsg.box('wfm.linear_phys :: ' + self.name, msg)
exit(1)
print "...linear_phys last physical value is = %f" % self.lastPhys
v0 = self.lastPhys
#One could also obtain v0 via conversion, but it is not recommended
#v0=physics.cnv(self.name+"Phys",self.last())
if dt == 0.0:
self.y[self.y.size - 1] = physics.cnv(self.name, vf)
return
N = int(math.floor(dt / self.ss))
hashbase = ''
hashbase = hashbase + self.name
hashbase = hashbase + '%.8f' % vf
hashbase = hashbase + '%.8f' % v0
hashbase = hashbase + '%.8f' % N
hashbase = hashbase + '%.8f' % dt
hashbase = hashbase + rawcalibdat(self.name)
ramphash = seqconf.ramps_dir() + 'linearPhys_' \
+ hashlib.md5( hashbase ).hexdigest()
if not os.path.exists(ramphash) or True:
print '...Making new linearPhys ramp for ' + self.name
x = numpy.linspace(v0 + (vf - v0) / N, vf, N)
ramp = physics.cnv(self.name, x)
#yramp= numpy.array([cnv(self.name,v0 + 1.0*(vf-v0)*(i+1)/N) for i in range(N)])
#if ( numpy.absolute( yramp - ramp ) > 0.0001 ).any():
# print "NOT EQUAL!"
#else:
# print "EQUAL!"
#ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '...Recycling previously calculated linearPhys ramp for ' + self.name
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
self.lastPhys = vf
return
def sinhRise(self, vf, dt, tau):
"""Inserts a hyperbolic-sine-like ramp to the waveform.
tau is the ramp scale, it is understood in units of dt
if tau is equal or greater to dt the ramp approaches a
linear ramp
as tau gets smaller than dt the ramp starts to deviate from
linear
a real difference starts to be seen wheh tau = dt/3
from tau=dt/20 it doesn't make a difference to keep making
tau smaller
good values to vary it are tau=dt/20, dt/5, dt/3, dt/2, dt"""
### WARNING: in general the conversion should be done for every point
### i.e. inside of the for loop below.
### This one just does it on the endpoints. It is ok because it is used
### for the magnetic field which has a mostly linear relationship between
### set voltage and current in the coils. But don't use this as an example
### for other things.
self.lastPhys = vf
vf = physics.cnv(self.name, vf)
v0 = self.last()
if dt == 0.0:
self.y[self.y.size - 1] = vf
return
else:
N = int(math.floor(dt / self.ss))
hashbase = ''
hashbase = hashbase + self.name
hashbase = hashbase + '%.8f' % vf
hashbase = hashbase + '%.8f' % v0
hashbase = hashbase + '%.8f' % N
hashbase = hashbase + '%.8f' % dt
hashbase = hashbase + '%.8f' % tau
ramphash = seqconf.ramps_dir() + 'sinhRise_' + hashlib.md5(
hashbase).hexdigest()
if not os.path.exists(ramphash) or True:
print '...Making new sinhRise ramp'
x = numpy.linspace(dt / N, dt, N)
ramp = v0 + (vf - v0) * (x / tau + (x / tau)**3.0 / 6.0) / (
dt / tau + (dt / tau)**3.0 / 6.0)
#ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '...Recycling previously calculated sinhRise ramp'
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
return
def Evap8(self, p0, p1, t1, tau, beta, offset, t2, tau2, smoothdt, duration,scale = 1.0):
"""Evaporation ramp v8 same as v7 with scale"""
if True:
print ""
print "----- EVAPORATION RAMP Version 8-----"
if duration <=0:
return
else:
N=int(round(duration*scale/self.ss))
print '\t...Evap nsteps = ' + str(N)
ramp_phys=numpy.array([])
ramp=numpy.array([])
hashbase = ''
hashbase = hashbase + '%.s' % self.name
hashbase = hashbase + '%.8f' % self.ss
hashbase = hashbase + '%.8f' % duration
hashbase = hashbase + '%.8f' % p0
hashbase = hashbase + '%.8f' % p1
hashbase = hashbase + '%.8f' % t1
hashbase = hashbase + '%.8f' % tau
hashbase = hashbase + '%.8f' % beta
hashbase = hashbase + '%.8f' % offset
hashbase = hashbase + '%.8f' % t2
hashbase = hashbase + '%.8f' % tau2
hashbase = hashbase + '%.8f' % smoothdt
hashbase = hashbase + '%.8f' % scale
ramphash = seqconf.ramps_dir() +'Evap8_' \
+ hashlib.md5( hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP','ramp', ramphash+'_phys')
if not os.path.exists(ramphash) or True:
print '\t...Making new Evap8 ramp'
for xi in range(N):
t = (xi+1)*self.ss/scale
phys = evap.v6(t,p0,p1,t1,tau,beta, offset,t2,tau2,smoothdt)
volt = physics.cnv( 'odtpow', phys)
ramp_phys = numpy.append( ramp_phys, [ phys])
ramp = numpy.append( ramp, numpy.around([ volt],decimals=4))
ramp_phys.tofile(ramphash+'_phys',sep='\n',format="%.4f")
#ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '\t...Recycling previously calculated Evap8 ramp'
ramp = numpy.fromfile(ramphash,sep=',')
self.y=numpy.append(self.y,ramp)
#This returns the last value of the ramp
print ""
return evap.v6(N*self.ss/scale,p0,p1,t1,tau,beta,offset,t2,tau2,smoothdt)
def sinhRise(self,vf,dt,tau): """Inserts a hyperbolic-sine-like ramp to the waveform. tau is the ramp scale, it is understood in units of dt if tau is equal or greater to dt the ramp approaches a linear ramp as tau gets smaller than dt the ramp starts to deviate from linear a real difference starts to be seen wheh tau = dt/3 from tau=dt/20 it doesn't make a difference to keep making tau smaller good values to vary it are tau=dt/20, dt/5, dt/3, dt/2, dt""" ### WARNING: in general the conversion should be done for every point ### i.e. inside of the for loop below. ### This one just does it on the endpoints. It is ok because it is used ### for the magnetic field which has a mostly linear relationship between ### set voltage and current in the coils. But don't use this as an example ### for other things. self.lastPhys = vf vf=physics.cnv(self.name,vf) v0=self.last() if dt == 0.0: self.y[ self.y.size -1] = vf return else: N = int(math.floor(dt/self.ss)) hashbase = '' hashbase = hashbase + self.name hashbase = hashbase + '%.8f' % vf hashbase = hashbase + '%.8f' % v0 hashbase = hashbase + '%.8f' % N hashbase = hashbase + '%.8f' % dt hashbase = hashbase + '%.8f' % tau ramphash = seqconf.ramps_dir() + 'sinhRise_' + hashlib.md5(hashbase).hexdigest() if not os.path.exists(ramphash) or True: print '...Making new sinhRise ramp' x = numpy.linspace( dt/N, dt, N) ramp = v0 + (vf-v0)*(x/tau+(x/tau)**3.0/6.0)/(dt/tau+(dt/tau)**3.0/6.0) #ramp.tofile(ramphash,sep=',',format="%.4f") else: print '...Recycling previously calculated sinhRise ramp' ramp = numpy.fromfile(ramphash,sep=',') self.y=numpy.append(self.y, ramp) return
def TwoChsAdiabaticOn(self):
""" An example that shows how to use the analogwfm method.
"""
#A waveform to turn on adiabatically nc-00 and nc-01 is added.
#The step size is 0.001ms and the values are in the indicated path.
path00 = seqconf.ramps_dir() + 'adiabatic_tanh_On.txt'
self.analogwfm(0.001,[{'name':'nc-00',\
'path':path00},\
{'name':'nc-01',\
'path':path00}])
def TwoChsAdiabaticOn(self):
""" An example that shows how to use the analogwfm method.
"""
#A waveform to turn on adiabatically nc-00 and nc-01 is added.
#The step size is 0.001ms and the values are in the indicated path.
path00 = seqconf.ramps_dir()+'adiabatic_tanh_On.txt'
self.analogwfm(0.001,[{'name':'nc-00',\
'path':path00},\
{'name':'nc-01',\
'path':path00}])
def TwoChsAdiabaticOff(self):
""" An example that shows how to use the analogwfm method.
The paths don't have to be hardcoded, they can be arguments
defined somewehere else for ease of use.
"""
#A waveform to turn off adiabatically nc-00 and nc-01 is added.
#The step size is 0.001ms and the values are in the indicated path.
path00 = seqconf.ramps_dir() + 'adiabatic_tanh_Off.txt'
self.analogwfm(0.001,[{'name':'nc-00',\
'path':path00},\
{'name':'nc-01',\
'path':path00}])
def TwoChsAdiabaticOff(self):
""" An example that shows how to use the analogwfm method.
The paths don't have to be hardcoded, they can be arguments
defined somewehere else for ease of use.
"""
#A waveform to turn off adiabatically nc-00 and nc-01 is added.
#The step size is 0.001ms and the values are in the indicated path.
path00 = seqconf.ramps_dir()+'adiabatic_tanh_Off.txt'
self.analogwfm(0.001,[{'name':'nc-00',\
'path':path00},\
{'name':'nc-01',\
'path':path00}])
def Evap7(self, p0, p1, t1, tau, beta, offset, t2, tau2, smoothdt,
duration):
"""Evaporation ramp v7 same as v4 except with smooth kink"""
if True:
print ""
print "----- EVAPORATION RAMP Version 7-----"
print "\tp0 = %.4f" % p0
print "\tp1 = %.4f" % p1
print "\tt1 = %.4f" % t1
print "\ttau = %.4f" % tau
print "\tbeta = %.4f" % beta
print "\toffset = %.4f" % offset
print "\tt2 = %.4f" % t2
print "\ttau2 = %.4f" % tau2
print "\tduration = %.4f" % duration
if duration <= 0:
return
else:
N = int(round(duration / self.ss))
print '\t...Evap nsteps = ' + str(N)
ramp_phys = []
ramp = []
hashbase = '%.8f,%.8f,%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f ' \
% ( b,m1,m2,m3,kink1,kink2, self.name, self.ss, duration, p0, p1, t1, tau, beta, offset, t2, tau2,smoothdt)
ramphash = seqconf.ramps_dir() +'Evap7_' \
+ hashlib.md5( hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP', 'ramp', ramphash + '_phys')
if not os.path.exists(ramphash):
print '\t...Making new Evap7 ramp'
for xi in range(N):
t = (xi + 1) * self.ss
phys = evap.v6(t, p0, p1, t1, tau, beta, offset, t2, tau2,
smoothdt)
volt = OdtpowConvert(phys)
ramp_phys = numpy.append(ramp_phys, [phys])
ramp = numpy.append(ramp, [volt])
ramp_phys.tofile(ramphash + '_phys', sep='\n', format="%.4f")
ramp.tofile(ramphash, sep=',', format="%.4f")
else:
print '\t...Recycling previously calculated Evap7 ramp'
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
#This returns the last value of the ramp
print ""
return evap.v6(N * self.ss, p0, p1, t1, tau, beta, offset, t2, tau2,
smoothdt)
def Evap7(self, p0, p1, t1, tau, beta, offset, t2, tau2, smoothdt, duration):
"""Evaporation ramp v7 same as v4 except with smooth kink"""
if True:
print ""
print "----- EVAPORATION RAMP Version 7-----"
print "\tp0 = %.4f" % p0
print "\tp1 = %.4f" % p1
print "\tt1 = %.4f" % t1
print "\ttau = %.4f" % tau
print "\tbeta = %.4f" % beta
print "\toffset = %.4f" % offset
print "\tt2 = %.4f" % t2
print "\ttau2 = %.4f" % tau2
print "\tduration = %.4f" % duration
if duration <=0:
return
else:
N=int(round(duration/self.ss))
print '\t...Evap nsteps = ' + str(N)
ramp_phys=[]
ramp=[]
hashbase = '%.8f,%.8f,%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f ' \
% ( b,m1,m2,m3,kink1,kink2, self.name, self.ss, duration, p0, p1, t1, tau, beta, offset, t2, tau2,smoothdt)
ramphash = seqconf.ramps_dir() +'Evap7_' \
+ hashlib.md5( hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP','ramp', ramphash+'_phys')
if not os.path.exists(ramphash):
print '\t...Making new Evap7 ramp'
for xi in range(N):
t = (xi+1)*self.ss
phys = evap.v6(t,p0,p1,t1,tau,beta, offset,t2,tau2,smoothdt)
volt = OdtpowConvert(phys)
ramp_phys = numpy.append( ramp_phys, [ phys])
ramp = numpy.append( ramp, [ volt])
ramp_phys.tofile(ramphash+'_phys',sep='\n',format="%.4f")
ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '\t...Recycling previously calculated Evap7 ramp'
ramp = numpy.fromfile(ramphash,sep=',')
self.y=numpy.append(self.y,ramp)
#This returns the last value of the ramp
print ""
return evap.v6(N*self.ss,p0,p1,t1,tau,beta,offset,t2,tau2,smoothdt)
def Evap6(self, cut_time, m, y, t0, kink1, kink2, m_t0_1, m_t0_2,
duration):
"""Evaporation ramp v6"""
if True:
print ""
print "----- EVAPORATION RAMP Version 6-----"
print "\tm = %.4f" % m
print "\ty = %.4f" % y
print "\tt0 = %.4f" % t0
if duration <= 0:
return
else:
N = int(round(duration / self.ss))
print '\t...Evap nsteps = ' + str(N)
ramp_phys = []
ramp = []
hashbase = '%.8f,%.8f,%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f ' \
% ( b,m1,m2,m3,kink1,kink2, self.name, self.ss, duration, m,y,t0)
ramphash = seqconf.ramps_dir() +'Evap6_1560' \
+ hashlib.md5( hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP', 'ramp', ramphash + '_phys')
#if not os.path.exists(ramphash):
if True:
print '\t...Making new Evap6 ramp'
for xi in range(N):
t = (xi + 1) * self.ss
phys = evap.v5(cut_time, m, y, t0, kink1, kink2, m_t0_1,
m_t0_2, t)
volt = OdtpowConvert(phys)
ramp_phys = numpy.append(ramp_phys, [phys])
ramp = numpy.append(ramp, [volt])
ramp_phys.tofile(ramphash + '_phys', sep='\n', format="%.4f")
ramp.tofile(ramphash, sep=',', format="%.4f")
else:
print '\t...Recycling previously calculated Evap6 ramp'
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
#This returns the last value of the ramp
print ""
return evap.v5(cut_time, m, y, t0, kink1, kink2, m_t0_1, m_t0_2,
N * self.ss)
def Evap6(self,cut_time,m,y,t0,kink1,kink2,m_t0_1,m_t0_2,duration):
"""Evaporation ramp v6"""
if True:
print ""
print "----- EVAPORATION RAMP Version 6-----"
print "\tm = %.4f" % m
print "\ty = %.4f" % y
print "\tt0 = %.4f" % t0
if duration <=0:
return
else:
N=int(round(duration/self.ss))
print '\t...Evap nsteps = ' + str(N)
ramp_phys=[]
ramp=[]
hashbase = '%.8f,%.8f,%.8f,%.8f,%.8f,%.8f,%s,%.3f,%.3f,%.3f,%.3f,%.3f ' \
% ( b,m1,m2,m3,kink1,kink2, self.name, self.ss, duration, m,y,t0)
ramphash = seqconf.ramps_dir() +'Evap6_1560' \
+ hashlib.md5( hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP','ramp', ramphash+'_phys')
#if not os.path.exists(ramphash):
if True:
print '\t...Making new Evap6 ramp'
for xi in range(N):
t = (xi+1)*self.ss
phys = evap.v5(cut_time,m,y,t0,kink1,kink2,m_t0_1,m_t0_2,t)
volt = OdtpowConvert(phys)
ramp_phys = numpy.append( ramp_phys, [ phys])
ramp = numpy.append( ramp, [ volt])
ramp_phys.tofile(ramphash+'_phys',sep='\n',format="%.4f")
ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '\t...Recycling previously calculated Evap6 ramp'
ramp = numpy.fromfile(ramphash,sep=',')
self.y=numpy.append(self.y,ramp)
#This returns the last value of the ramp
print ""
return evap.v5(cut_time,m,y,t0,kink1,kink2,m_t0_1,m_t0_2,N*self.ss)
def analogwfm_add(self, step, wfms):
""" analogwfm_add adds a waveform output ot the sequence.
aouts is an array of waveforms (instances of the wfm class)
The device is determined from the names of the wfm's
and a pulse is added to the DIGITAL_OUT that triggers
the device. This function makes sure that the added
waveform does not conflict with any waveform outputs
already in the sequence.
"""
aouts = []
#print("...start adding waveforms.")
ss0 = 0
for n, elem in enumerate(wfms):
if n == 0: ss0 = elem.ss
if elem.ss != ss0:
print "Step Size doesn't match in Waveform."
for el in wfms:
print "Channel=", el.name, "\tStep Size=", el.ss
exit(1)
ss0 = elem.ss
for elem in wfms:
dict = {}
dict["name"] = elem.name
filename = seqconf.ramps_dir() + elem.name + '_' + elem.wfm_id(
) + '.txt'
elem.fileoutput(filename)
#print ("filename = %s" % filename)
dict["path"] = filename
aouts.append(dict)
#print("...end adding waveforms.")
status = self.analogwfm(step, aouts)
return status
def Evap8(self,
p0,
p1,
t1,
tau,
beta,
offset,
t2,
tau2,
smoothdt,
duration,
scale=1.0):
"""Evaporation ramp v8 same as v7 with scale"""
if True:
print ""
print "----- EVAPORATION RAMP Version 7-----"
print "\tp0 = %.4f" % p0
print "\tp1 = %.4f" % p1
print "\tt1 = %.4f" % t1
print "\ttau = %.4f" % tau
print "\tbeta = %.4f" % beta
print "\toffset = %.4f" % offset
print "\tt2 = %.4f" % t2
print "\ttau2 = %.4f" % tau2
print "\tduration = %.4f" % duration
if duration <= 0:
return
else:
N = int(round(duration * scale / self.ss))
print '\t...Evap nsteps = ' + str(N)
ramp_phys = numpy.array([])
ramp = numpy.array([])
hashbase = ''
hashbase = hashbase + '%.8f' % b
hashbase = hashbase + '%.8f' % m1
hashbase = hashbase + '%.8f' % m2
hashbase = hashbase + '%.8f' % m3
hashbase = hashbase + '%.8f' % kink1
hashbase = hashbase + '%.8f' % kink2
hashbase = hashbase + '%.s' % self.name
hashbase = hashbase + '%.8f' % self.ss
hashbase = hashbase + '%.8f' % duration
hashbase = hashbase + '%.8f' % p0
hashbase = hashbase + '%.8f' % p1
hashbase = hashbase + '%.8f' % t1
hashbase = hashbase + '%.8f' % tau
hashbase = hashbase + '%.8f' % beta
hashbase = hashbase + '%.8f' % offset
hashbase = hashbase + '%.8f' % t2
hashbase = hashbase + '%.8f' % tau2
hashbase = hashbase + '%.8f' % smoothdt
hashbase = hashbase + '%.8f' % scale
ramphash = seqconf.ramps_dir() +'Evap8_' \
+ hashlib.md5( hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP', 'ramp', ramphash + '_phys')
if not os.path.exists(ramphash) or True:
print '\t...Making new Evap7 ramp'
for xi in range(N):
t = (xi + 1) * self.ss / scale
phys = evap.v6(t, p0, p1, t1, tau, beta, offset, t2, tau2,
smoothdt)
volt = OdtpowConvert(phys)
ramp_phys = numpy.append(ramp_phys, [phys])
ramp = numpy.append(ramp, numpy.around([volt], decimals=4))
ramp_phys.tofile(ramphash + '_phys', sep='\n', format="%.4f")
ramp.tofile(ramphash, sep=',', format="%.4f")
else:
print '\t...Recycling previously calculated Evap7 ramp'
ramp = numpy.fromfile(ramphash, sep=',')
self.y = numpy.append(self.y, ramp)
#This returns the last value of the ramp
print ""
return evap.v6(N * self.ss / scale, p0, p1, t1, tau, beta, offset, t2,
tau2, smoothdt)
def odt_evap_field(image, scale=1.0):
evap_ss = f('EVAP', 'evapss')
p0 = f('ODT', 'odtpow')
p1 = f('EVAP', 'p1')
t1 = f('EVAP', 't1')
tau = f('EVAP', 'tau')
beta = f('EVAP', 'beta')
offset = f('EVAP', 'offset')
t2 = f('EVAP', 't2')
tau2 = f('EVAP', 'tau2')
smoothdt = f('EVAP', 'smoothdt')
field_ramp_time = f('EVAP', 'fieldrampt0') * scale
field_ramp_dt = f('EVAP', 'fieldrampdt') * scale
field_ramp_start = f('FESHBACH', 'bias')
field_ramp_final = f('EVAP', 'fieldrampfinal')
ramp = []
hashbase = ''
hashbase = hashbase + '%.8f' % image
hashbase = hashbase + '%.8f' % evap_ss
hashbase = hashbase + '%.8f' % field_ramp_time
hashbase = hashbase + '%.8f' % field_ramp_dt
hashbase = hashbase + '%.8f' % field_ramp_start
hashbase = hashbase + '%.8f' % field_ramp_final
hashbase = hashbase + '%.8f' % scale
ramphash = seqconf.ramps_dir() + 'Evap_field_withscale' + hashlib.md5(
hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP', 'ramp_field', ramphash)
bfield = wfm.wave('bfield', field_ramp_start, evap_ss)
if not os.path.exists(ramphash) or True:
bfield.extend(field_ramp_time)
bfield.linear(field_ramp_final, field_ramp_dt)
if ((field_ramp_time + field_ramp_dt) < image * scale):
bfield.extend(image * scale)
else:
bfield.chop(image * scale)
ramp = bfield.y
ramp.tofile(ramphash, sep=',', format="%.4f")
else:
print '\t...Recycling previously calculated Evap_field'
ramp = numpy.fromfile(ramphash, sep=',')
bfield.y = numpy.append(bfield.y, ramp)
odtpow = odt_wave('odtpow', p0, evap_ss)
#~ odtpow_test = odt_wave('NC0', p0, evap_ss)
#~ odtpow_test2 = odt_wave('NC1', p0, evap_ss)
#odtpow.Evap(p0, p1, t1, tau, beta, image)
#odtpow.Evap2(p0, p1, t1, tau, beta, offset, t2, tau2, image)
#odtpow.Evap3(p0, p1, t1, tau, beta, offset, t2, tau2, image)
### SELECT EVAP TRAJECTORY HERE###
finalcpow = odtpow.Evap8(p0, p1, t1, tau, beta, offset, t2, tau2, smoothdt,
image, scale)
#~ finalcpow2 = odtpow_test.Evap7(p0, p1, t1, tau, beta, offset, t2, tau2,smoothdt,image)
#~ finalcpow3 = odtpow_test2.Evap7(p0, p1, t1, tau, beta, offset, t2, tau2,smoothdt,image)
#Here, go ahead and save the finalcpow to the report
gen.save_to_report('EVAP', 'finalcpow', finalcpow)
#ipganalog starts out at full power
ipganalog = ipg_wave('ipganalog', 10., evap_ss)
if f('ODT', 'use_servo') == 0:
ipganalog.extend(odtpow.dt())
elif f('ODT', 'use_servo') == 1:
ipganalog.follow(odtpow)
#~ ipganalog.follow( odtpow )
#~ odtpow.Exponential(pow0,powf,evap_dt,tau)
#~ odtpow.linear( powf, evap_ss)
#~ odtpow.appendhold( evap_dt)
maxDT = odtpow.dt()
return bfield, odtpow, maxDT, finalcpow, ipganalog #,odtpow_test,odtpow_test2
def odt_evap_field(image,scale =1.0):
evap_ss = f('EVAP','evapss')
p0 = f('ODT','odtpow')
p1 = f('EVAP','p1')
t1 = f('EVAP','t1')
tau = f('EVAP','tau')
beta = f('EVAP','beta')
offset = f('EVAP','offset')
t2 = f('EVAP','t2')
tau2 = f('EVAP','tau2')
smoothdt = f('EVAP','smoothdt')
field_ramp_time = f('EVAP','fieldrampt0')*scale
field_ramp_dt = f('EVAP','fieldrampdt')*scale
field_ramp_start = f('FESHBACH','bias')
field_ramp_final = f('EVAP','fieldrampfinal')
ramp=[]
hashbase = ''
hashbase = hashbase + '%.8f' % image
hashbase = hashbase + '%.8f' % evap_ss
hashbase = hashbase + '%.8f' % field_ramp_time
hashbase = hashbase + '%.8f' % field_ramp_dt
hashbase = hashbase + '%.8f' % field_ramp_start
hashbase = hashbase + '%.8f' % field_ramp_final
hashbase = hashbase + '%.8f' % scale
ramphash = seqconf.ramps_dir() +'Evap_field_withscale'+ hashlib.md5( hashbase).hexdigest()
#Here, go ahead and save the trajectory path to the report
gen.save_to_report('EVAP','ramp_field', ramphash)
bfield = wfm.wave('bfield',field_ramp_start,evap_ss)
if not os.path.exists(ramphash) or True:
bfield.extend(field_ramp_time)
bfield.linear(field_ramp_final,field_ramp_dt)
if((field_ramp_time+field_ramp_dt)<image*scale):
bfield.extend(image*scale)
else:
bfield.chop(image*scale)
ramp = bfield.y
ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '\t...Recycling previously calculated Evap_field'
ramp = numpy.fromfile(ramphash,sep=',')
bfield.y=numpy.append(bfield.y,ramp)
odtpow = odt_wave('odtpow', p0, evap_ss)
#~ odtpow_test = odt_wave('NC0', p0, evap_ss)
#~ odtpow_test2 = odt_wave('NC1', p0, evap_ss)
#odtpow.Evap(p0, p1, t1, tau, beta, image)
#odtpow.Evap2(p0, p1, t1, tau, beta, offset, t2, tau2, image)
#odtpow.Evap3(p0, p1, t1, tau, beta, offset, t2, tau2, image)
### SELECT EVAP TRAJECTORY HERE###
finalcpow = odtpow.Evap8(p0, p1, t1, tau, beta, offset, t2, tau2,smoothdt,image,scale)
#~ finalcpow2 = odtpow_test.Evap7(p0, p1, t1, tau, beta, offset, t2, tau2,smoothdt,image)
#~ finalcpow3 = odtpow_test2.Evap7(p0, p1, t1, tau, beta, offset, t2, tau2,smoothdt,image)
#Here, go ahead and save the finalcpow to the report
gen.save_to_report('EVAP','finalcpow', finalcpow)
#ipganalog starts out at full power
ipganalog = ipg_wave('ipganalog', 10., evap_ss)
if f('ODT','use_servo') == 0:
ipganalog.extend( odtpow.dt() )
elif f('ODT','use_servo') == 1:
ipganalog.follow( odtpow )
#~ ipganalog.follow( odtpow )
#~ odtpow.Exponential(pow0,powf,evap_dt,tau)
#~ odtpow.linear( powf, evap_ss)
#~ odtpow.appendhold( evap_dt)
maxDT = odtpow.dt()
return bfield, odtpow, maxDT, finalcpow, ipganalog#,odtpow_test,odtpow_test2
def odt_evap_field(scale =1.0):
field_ramp_time = EVAP.fieldrampt0*scale
field_ramp_dt = EVAP.fieldrampdt*scale
ramp=[]
hashbase = ''
hashbase = hashbase + '%.8f' % EVAP.image
hashbase = hashbase + '%.8f' % EVAP.evapss
hashbase = hashbase + '%.8f' % field_ramp_time
hashbase = hashbase + '%.8f' % field_ramp_dt
hashbase = hashbase + '%.8f' % FB.bias
hashbase = hashbase + '%.8f' % EVAP.fieldrampfinal
hashbase = hashbase + '%.8f' % scale
hashbase = hashbase + wfm.rawcalibdat( 'bfield' )
#---Here, go ahead and save the trajectory path to the report
ramphash = seqconf.ramps_dir() +'Evap_field_withscale'+ hashlib.md5( hashbase).hexdigest()
gen.save_to_report('EVAP','ramp_field', ramphash)
#---Setup field ramp
bfield = wfm.wave('bfield', FB.bias, EVAP.evapss)
if not os.path.exists(ramphash) or True:
print '\t...Making new Evap_field'
bfield.extend(field_ramp_time)
bfield.linear(EVAP.fieldrampfinal,field_ramp_dt)
if((field_ramp_time+field_ramp_dt)<EVAP.image*scale):
bfield.extend(EVAP.image*scale)
else:
bfield.chop(EVAP.image*scale)
ramp = bfield.y
#ramp.tofile(ramphash,sep=',',format="%.4f")
else:
print '\t...Recycling previously calculated Evap_field'
ramp = numpy.fromfile(ramphash,sep=',')
bfield.y=ramp
#---Setup ODT ramp
odtpow = odt_wave('odtpow', ODT.odtpow, EVAP.evapss)
### SELECT EVAP TRAJECTORY HERE###
finalcpow = odtpow.Evap8(\
ODT.odtpow, \
EVAP.p1, \
EVAP.t1,
EVAP.tau, \
EVAP.beta, \
EVAP.offset, \
EVAP.t2, \
EVAP.tau2, \
EVAP.smoothdt, \
EVAP.image, \
EVAP.scale \
)
#Here, go ahead and save the finalcpow to the report
gen.save_to_report('EVAP','finalcpow', finalcpow)
#---Setup ipganalog ramp
ipganalog = ipg_wave('ipganalog', 10., EVAP.evapss)
if ODT.use_servo == 0:
ipganalog.extend( odtpow.dt() )
elif ODT.use_servo == 1:
ipganalog.follow( odtpow )
maxDT = odtpow.dt()
return bfield, odtpow, maxDT, finalcpow, ipganalog