def generate_ne_profile(simul,**kwargs):
global neHatPre
global dneHatPredpsi
# for use in d-He scan where the electron profile is fixed
if "nScale_"+species[e_index] in kwargs.keys():
neScale=kwargs["nScale_"+species[e_index]]
else:
neScale=1.0
nePed=neScale*kwargs["nped_"+species[e_index]]
neCoreGrad=neScale*kwargs["dnCoredx_"+species[e_index]]*dxdpsiN_at_a
nepedGrad=neScale*kwargs["dnpeddx_"+species[e_index]]*dxdpsiN_at_a
neSOLGrad=neScale*kwargs["dnSOLdx_"+species[e_index]]*dxdpsiN_at_a
if mtanh:
(neHat,dneHatds) = generate_m2tanh_profile(nePed,neCoreGrad,nepedGrad,neSOLGrad,psiMaxPed-psiMinPed,psiMinPed)
(core,ped,sol,ddx_core,ddx_ped,ddx_sol) = extrapolate_m2tanh_sections(neHat,dneHatds,psiMin,psiMinPed,psiMaxPed,psiMax)
neHatPre = core
dneHatPredpsi = ddx_core
else:
neHatPre =(lambda psiN: (nePed-neCoreGrad*(psiMinPed-psiMin) + neCoreGrad* (psiN-psiMin)))
neHatPed =(lambda psiN: (nePed + nepedGrad* (psiN-psiMinPed)))
neHatAft =(lambda psiN: (nePed+nepedGrad*(psiMaxPed-psiMinPed) + neSOLGrad* (psiN-psiMaxPed)))
dneHatPredpsi = (lambda psiN: neCoreGrad + psiN*0)
dneHatPeddpsi = (lambda psiN: nepedGrad + psiN*0)
dneHatAftdpsi = (lambda psiN: neSOLGrad + psiN*0)
nelist=[neHatPre,neHatPed,neHatAft]
dnedpsiList = [dneHatPredpsi,dneHatPeddpsi,dneHatAftdpsi]
(neHat,dneHatdpsi)=derivative_bezier_transition(nelist,dnedpsiList,psiList,pairList)
dneHatds = lambda x : dneHatdpsi(x)
return (neHat,dneHatds)
def generate_ni_profile(**kwargs):
# for use in d-He scan where the electron profile varies
global niPed
global niCoreGrad
global niHatPed
global niHatAft
global dniHatAftdpsi
if "nScale_"+species[main_index] in kwargs.keys():
niScale=kwargs["nScale_"+species[main_index]]
else:
niScale=1.0
niPed=niScale*kwargs["nped_"+species[main_index]]
niCoreGrad=niScale*kwargs["dnCoredx_"+species[main_index]]*dxdpsiN_at_a
nipedGrad=niScale*kwargs["dnpeddx_"+species[main_index]]*dxdpsiN_at_a
niSOLGrad=niScale*kwargs["dnSOLdx_"+species[main_index]]*dxdpsiN_at_a
# generate n_i
if mtanh:
(niHat,dniHatds) = generate_m2tanh_profile(niPed,niCoreGrad,nipedGrad,niSOLGrad,psiMaxPed-psiMinPed,psiMinPed)
(core,ped,sol,ddx_core,ddx_ped,ddx_sol) = extrapolate_m2tanh_sections(niHat,dniHatds,psiMin,psiMinPed,psiMaxPed,psiMax)
niHatPed = ped
niHatAft = sol
dniHatAftdpsi = ddx_sol
else:
niHatPre =(lambda psiN: (niPed + niCoreGrad*(psiN-psiMinPed)))
niHatPed =(lambda psiN: (niPed + nipedGrad* (psiN-psiMinPed)))
niHatAft =(lambda psiN: (niPed+nipedGrad*(psiMaxPed-psiMinPed) + niSOLGrad* (psiN-psiMaxPed)))
dniHatPredpsi = (lambda psiN: niCoreGrad + 0*psiN)
dniHatPeddpsi = (lambda psiN: nipedGrad + 0*psiN)
dniHatAftdpsi = (lambda psiN: niSOLGrad + 0*psiN)
nilist=[niHatPre,niHatPed,niHatAft]
dnidpsiList = [dniHatPredpsi,dniHatPeddpsi,dniHatAftdpsi]
(niHat,dniHatds)=derivative_bezier_transition(nilist,dnidpsiList,psiList,pairList)
return (niHat,dniHatds)
def generate_T_profiles(**kwargs):
global TiHatPed
global TiHatAft
global dTiHatAftdpsi
#THats = numpy.zeros((Nspecies,Npsi))
#dTHatdpsis = numpy.zeros((Nspecies,Npsi))
THats = [None]*Nspecies
dTHatdpsis = [None]*Nspecies
dTHatdss = [None]*Nspecies
TScale=[0]*Nspecies
Tpeds=[0]*Nspecies
TCoreGrads=[0]*Nspecies
TpedGrads=[0]*Nspecies
TSOLGrads=[0]*Nspecies
#Pre,Ped,Aft will contain functions describe T in core, ped and outwards.
THatPre=[0]*Nspecies
THatPed=[0]*Nspecies
THatAft=[0]*Nspecies
dTHatPredpsi=[0]*Nspecies
dTHatPeddpsi=[0]*Nspecies
dTHatAftdpsi=[0]*Nspecies
#reading T related parameters
for i in range(Nspecies):
if "TScale_"+species[i] in kwargs.keys():
TScale[i]=kwargs["TScale_"+species[i]]
else:
TScale[i]=1.0
Tpeds[i]=TScale[i]*kwargs["Tped_"+species[i]]
TCoreGrads[i]=TScale[i]*kwargs["dTCoredx_"+species[i]]*dxdpsiN_at_a
TpedGrads[i]=TScale[i]*kwargs["dTpeddx_"+species[i]]*dxdpsiN_at_a
TSOLGrads[i]=TScale[i]*kwargs["dTSOLdx_"+species[i]]*dxdpsiN_at_a
TSOLGrads[i]=TScale[i]*kwargs["dTSOLdx_"+species[i]]*dxdpsiN_at_a
TScale=numpy.array(TScale)
Tpeds=numpy.array(Tpeds)
TCoreGrads=numpy.array(TCoreGrads)
TSOLGrads=numpy.array(TSOLGrads)
TpedGrads=numpy.array(TpedGrads)
if mtanh:
for i in range(Nspecies):
(THats[i],dTHatdss[i]) = generate_m2tanh_profile(Tpeds[i],TCoreGrads[i],TpedGrads[i],TSOLGrads[i],psiMaxPed-psiMinPed,psiMinPed)
(core,ped,sol,ddx_core,ddx_ped,ddx_sol) = extrapolate_m2tanh_sections(THats[main_index],dTHatdss[main_index],psiMin,psiMinPed,psiMaxPed,psiMax)
TiHatPed = ped
TiHatAft = sol
dTiHatAftdpsi = ddx_sol
else:
#Generating functions from the parameters
for i in range(Nspecies):
THatPre[i] =(lambda psiN,i=i: (Tpeds[i] + TCoreGrads[i]*(psiN-psiMinPed)))
THatPed[i] =(lambda psiN,i=i: (Tpeds[i] + TpedGrads[i]*(psiN-psiMinPed)))
THatAft[i] =(lambda psiN,i=i: (Tpeds[i] + TpedGrads[i]*(psiMaxPed-psiMinPed) + TSOLGrads[i]*(psiN-psiMaxPed)))
dTHatPredpsi[i] = (lambda psiN,i=i: TCoreGrads[i])
dTHatPeddpsi[i] = (lambda psiN,i=i: TpedGrads[i])
dTHatAftdpsi[i] = (lambda psiN,i=i: TSOLGrads[i])
Tlist=[THatPre[i],THatPed[i],THatAft[i]]
dTdpsiList = [dTHatPredpsi[i],dTHatPeddpsi[i],dTHatAftdpsi[i]]
(THats[i],dTHatdpsis[i])=derivative_bezier_transition(Tlist,dTdpsiList,psiList,pairList)
dTHatdss[i]=lambda x,i=i: dTHatdpsis[i](x)
TiHatPed = THatPed[main_index]
TiHatAft = THatAft[main_index]
dTiHatAftdpsi = dTHatAftdpsi[main_index]
return (THats,dTHatdss)
def generate_T_profiles_sameflux(nt,nb,breakpoint_shift,**kwargs):
global TiHatPed
global TiHatAft
global dTiHatAftdpsi
#THats = numpy.zeros((Nspecies,Npsi))
#dTHatdpsis = numpy.zeros((Nspecies,Npsi))
THats = [None]*Nspecies
dTHatdpsis = [None]*Nspecies
dTHatdss = [None]*Nspecies
TScale=[0]*Nspecies
Tpeds=[0]*Nspecies
TCoreGrads=[0]*Nspecies
TpedGrads=[0]*Nspecies
TSOLGrads=[0]*Nspecies
#Pre,Ped,Aft will contain functions describe T in core, ped and outwards.
THatPre=[0]*Nspecies
THatPed=[0]*Nspecies
THatAft=[0]*Nspecies
dTHatPredpsi=[0]*Nspecies
dTHatPeddpsi=[0]*Nspecies
dTHatAftdpsi=[0]*Nspecies
#reading T related parameters
for i in range(Nspecies):
if "TScale_"+species[i] in kwargs.keys():
TScale[i]=kwargs["TScale_"+species[i]]
else:
TScale[i]=1.0
Tpeds[i]=TScale[i]*kwargs["Tped_"+species[i]]
TCoreGrads[i]=TScale[i]*kwargs["dTCoredx_"+species[i]]*dxdpsiN_at_a
TpedGrads[i]=TScale[i]*kwargs["dTpeddx_"+species[i]]*dxdpsiN_at_a
TSOLGrads[i]=TScale[i]*kwargs["dTSOLdx_"+species[i]]*dxdpsiN_at_a
TScale=numpy.array(TScale)
Tpeds=numpy.array(Tpeds)
TCoreGrads=numpy.array(TCoreGrads)
TSOLGrads=numpy.array(TSOLGrads)
TpedGrads=numpy.array(TpedGrads)
if mtanh:
transition_length = 1*(psiMaxPed-psiMinPed)
(THats[main_index],dTHatdss[main_index]) = match_heat_flux_proxy(Tpeds[main_index],TCoreGrads[main_index],TpedGrads[main_index],TSOLGrads[main_index],transition_length,psiMinPed,nt,nb,psiMin,psiMax)
(core,ped,sol,ddx_core,ddx_ped,ddx_sol) = extrapolate_m2tanh_sections(THats[main_index],dTHatdss[main_index],psiMin,psiMinPed,psiMaxPed,psiMax)
TiHatPed = ped
TiHatAft = sol
dTiHatAftdpsi = ddx_sol
if Nspecies >= 2:
(THats[e_index],dTHatdss[e_index]) = generate_m2tanh_profile(Tpeds[e_index],TCoreGrads[e_index],TpedGrads[e_index],TSOLGrads[e_index],psiMaxPed-psiMinPed,psiMinPed)
else:
breakpoint=psiMinPed + breakpoint_shift
Tp=Tpeds[main_index] + TCoreGrads[main_index] *(breakpoint-psiMinPed)
if (TCoreGrads[main_index] != TSOLGrads[main_index]) and (TPedGrads[main_index] != TSOLGrads[main_index]):
print "generate_compatible_profiles: Warning: sameflux option uses the Core T gradients of the main species everywhere"
dTdpsi=TCoreGrads[main_index]
d1=breakpoint - psiMin
d2=psiMax - breakpoint
f=lambda x : x*(Tp-d1*x)**(3.0/2.0) - (nb*1.0/nt)*(Tp + dTdpsi*d2)**(3.0/2.0)*dTdpsi
dTdpsiTop=scipy.optimize.fsolve(f,0)[0] #[0] since returns an numpy.ndarray
dTdpsiBot=dTdpsi
THatPre[main_index] =(lambda psiN: (Tpeds[main_index] + dTdpsiTop*(psiN-breakpoint)))
THatPed[main_index] =(lambda psiN: (Tpeds[main_index] + dTdpsiBot*(psiN-breakpoint)))
THatAft[main_index] =(lambda psiN: (Tpeds[main_index] + dTdpsiBot*(psiN-breakpoint)))
dTHatPredpsi[main_index] =(lambda psiN: dTdpsiTop + 0*psiN)
dTHatPeddpsi[main_index] =(lambda psiN: dTdpsiBot + 0*psiN)
dTHatAftdpsi[main_index] =(lambda psiN: dTdpsiBot + 0*psiN)
Tlist=[THatPre[main_index],THatPed[main_index]]
dTdpsilist=[dTHatPredpsi[main_index],dTHatPeddpsi[main_index]]
(THats[main_index],dTHatdpsis[main_index])=derivative_bezier_transition(Tlist,dTdpsilist,[breakpoint],pairList[:-1])
dTHatdss[main_index]= lambda x : dTHatdpsis[main_index](x)
#T2=simul.TBar*bezier_transition(Tlist,[breakpoint],pairList[:-1],numpy.array([psiMidPed]))[0]
TiHatPed = THatPed[main_index]
TiHatAft = THatAft[main_index]
dTiHatAftdpsi = dTHatAftdpsi[main_index]
if Nspecies >= 2:
#T_e:
THatPre[e_index] =(lambda psiN: (Tpeds[e_index] + TCoreGrads[e_index]*(psiN-psiMinPed)))
THatPed[e_index] =(lambda psiN: (Tpeds[e_index] + TpedGrads[e_index]*(psiN-psiMinPed)))
THatAft[e_index] =(lambda psiN: (Tpeds[e_index] + TpedGrads[e_index]*(psiMaxPed-psiMinPed) + TSOLGrads[e_index]*(psiN-psiMaxPed)))
dTHatPredpsi[e_index] = (lambda psiN: TCoreGrads[e_index] + 0*psiN)
dTHatPeddpsi[e_index] = (lambda psiN: TpedGrads[e_index] + 0*psiN)
dTHatAftdpsi[e_index] = (lambda psiN: TSOLGrads[e_index] + 0*psiN)
Tlist=[THatPre[e_index],THatPed[e_index],THatAft[e_index]]
dTdpsiList = [dTHatPredpsi[e_index],dTHatPeddpsi[e_index],dTHatAftdpsi[e_index]]
(THats[e_index],dTHatdpsis[e_index])=derivative_bezier_transition(Tlist,dTdpsiList,psiList,pairList)
dTHatdss[e_index]=lambda x : dTHatdpsis[e_index](x)
if Nspecies == 3:
THats[imp_index]=THats[main_index]
#dTHatdpsis[imp_index]=dTHatdpsis[main_index]
dTHatdss[imp_index]=dTHatdss[main_index]
return (THats,dTHatdss)
