def split_polynom_coeffs(ln):
res_arr = ln.split()
coeff_arr = []
count = 0
for i in range(4, len(res_arr), 3):
val = float(res_arr[i])
coeff_arr.append(val)
#print "debug i=",count," val=",val
count += 1
poly = Polynomial(len(coeff_arr) - 1)
for i in range(len(coeff_arr)):
poly.coefficient(i, coeff_arr[i])
return poly
def split_polynom_coeffs(ln): res_arr = ln.split() coeff_arr = [] count = 0 for i in range(4,len(res_arr),3): val = float(res_arr[i]) coeff_arr.append(val) #print "debug i=",count," val=",val count += 1 poly = Polynomial(len(coeff_arr)-1) for i in range(len(coeff_arr)): poly.coefficient(i,coeff_arr[i]) return poly
class PolynomialFit:
def __init__(self, order):
""" The calss to fit Function or SplineCH with a polynomial. """
self.order = order
self.polynomial = Polynomial()
#self.coef_err_arr is a final array with coef_arr and err_arr for polinomial coefficients
self.coef_err_arr = []
#self.x_y_err_arr is initial data with (x,y,y_err) points
self.x_y_err_arr = []
def getPolynomial(self):
""" It returns an unbounded polynomial. """
polynomial = Polynomial()
self.polynomial.copyTo(polynomial)
return polynomial
def getCoefficientsAndErr(self):
""" It returns the list of coefficients and their errors """
return self.coef_err_arr
def getCoefficients(self):
""" Returns the list of coefficients of the polynomial """
coef_arr = []
for i in range(len(self.coef_err_arr)):
[coef, err] = self.coef_err_arr[i]
coef_arr.append(coef)
return coef_arr
def fitFunction(self, function):
""" Fit the Function instance """
self.x_y_err_arr = []
for i in range(function.getSize()):
x = function.x(i)
y = function.y(i)
err = function.err(i)
self.x_y_err_arr.append([x, y, err])
self._makePolynomial()
def fitSpline(self, spline):
""" Fit the SplineCH instance """
self.x_y_err_arr = []
for i in range(spline.getSize()):
x = spline.x(i)
y = spline.y(i)
err = 0.
self.x_y_err_arr.append([x, y, err])
self._makePolynomial()
def _makePolynomial(self):
nPoints = len(self.x_y_err_arr)
if (nPoints < (self.order + 1)):
self.order = nPoints - 1
#check if just one of errors is zero
infoZeroErr = 1.0
for [x, y, err] in self.x_y_err_arr:
infoZeroErr *= err
for i in range(nPoints):
[x, y, err] = self.x_y_err_arr[i]
sigma = 1.0
if (infoZeroErr != 0.):
sigma = 1.0 / (err * err)
self.x_y_err_arr[i][2] = sigma
#now make A matrix
aMatr = Matrix(nPoints, self.order + 1)
for i in range(nPoints):
for j in range(self.order + 1):
x = self.x_y_err_arr[i][0]
aMatr.set(i, j, math.pow(x, j))
aTCa = Matrix(self.order + 1, self.order + 1)
for i in range(self.order + 1):
for j in range(self.order + 1):
a = 0.
for k in range(nPoints):
sigma = self.x_y_err_arr[k][2]
a += aMatr.get(k, i) * sigma * aMatr.get(k, j)
aTCa.set(i, j, a)
#now the resuting coefficients and errors
aTCaI = aTCa.invert()
e = aTCaI.mult(aTCa)
if (aTCa == None):
print "python PolynomialFit: Problem with data."
for i in range(nPoints):
x = self.x_y_err_arr[i][0]
y = self.x_y_err_arr[i][1]
err = self.x_y_err_arr[i][2]
print " x,y,err = %12.5g %12.5g %12.5g " % (x, y, err)
print "Stop."
sys.exit(1)
coef_arr = [0.] * (self.order + 1)
err_arr = [0.] * (self.order + 1)
for i in range(self.order + 1):
err_arr[i] = math.sqrt(math.fabs(aTCaI.get(i, i)))
for i in range(self.order + 1):
coef_arr[i] = 0.
for j in range(self.order + 1):
for k in range(nPoints):
sigma = self.x_y_err_arr[k][2]
y = self.x_y_err_arr[k][1]
coef_arr[i] += aTCaI.get(i, j) * aMatr.get(k,
j) * sigma * y
# polinimial coefficients are found
self.polynomial.order(self.order)
for i in range(len(coef_arr)):
self.polynomial.coefficient(i, coef_arr[i])
# now let's calculate errors
if (infoZeroErr == 0.):
total_sigma = 0.
for k in range(nPoints):
x = self.x_y_err_arr[k][0]
y = self.x_y_err_arr[k][1]
total_sigma += (self.polynomial.value(x) - y)**2
total_sigma = math.sqrt(total_sigma / (nPoints - 2))
for i in range(len(err_arr)):
err_arr[i] *= total_sigma
# set the resulting coefficients and errors array
self.coef_err_arr = [coef_arr, err_arr]
class BaseRF_Gap(AbstractRF_Gap):
"""
The simplest RF gap representation. The only E0*T*L or E0*L and TTFs define
all effects of the node. By default the Matrix RF Gap model is used.
This model can be replaced later with a more complex RF gap model by using
the setCppGapModel(...) method. User should provide the necessary parameters
for each type of RF gap model.
MatrixRfGap - E0TL, mode
BaseRfGap - E0TL, mode
RfGapTTF - E0L, T,S,Tp,Sp, beta_min, beta_max
The phase of the first gap in the cavity is defined by the parent cavity instance.
The relative amplitude is also defined by the parent cavity instance.
The 'mode' parameter is a shift of the phase between two gaps in PI units.
"""
def __init__(self, name = "baserfgap"):
"""
Constructor for the simplest RF gap.
E0L and E0TL parameters are in GeV. Phases are in radians.
"""
AbstractRF_Gap.__init__(self,name)
self.addParam("E0TL",0.)
self.addParam("mode",0.)
self.addParam("gap_phase",0.)
self.addParam("rfCavity", None)
#----- TTF model params ------
self.addParam("E0L",0.)
self.polyT = Polynomial(0)
self.polyT.coefficient(0,1.0)
self.polyS = Polynomial(0)
self.polyS.coefficient(0,0.0)
self.polyTp = Polynomial(0)
self.polyTp.coefficient(0,0.0)
self.polySp = Polynomial(0)
self.polySp.coefficient(0,0.0)
self.addParam("beta_min",0.)
self.addParam("beta_max",1.)
#-----------------------------
self.addParam("rfCavity",None)
self.addParam("EzFile","no_file")
self.setType("baserfgap")
self.__isFirstGap = False
#---- by default we use the TTF model
#---- which is a Transit-Time-Factor model from Parmila
#self.cppGapModel = MatrixRfGap()
#self.cppGapModel = BaseRfGap()
self.cppGapModel = RfGapTTF()
def setLinacTracker(self, switch = True):
"""
This method will switch RF gap model to slower one where transformations
coefficients are calculated for each particle in the bunch.
"""
AbstractRF_Gap.setLinacTracker(self,switch)
if(switch):
if(isinstance(self.cppGapModel,BaseRfGap) or isinstance(self.cppGapModel,BaseRfGap_slow)):
self.cppGapModel = BaseRfGap_slow()
if(isinstance(self.cppGapModel,RfGapTTF) or isinstance(self.cppGapModel,RfGapTTF_slow)):
self.cppGapModel = RfGapTTF_slow()
else:
if(isinstance(self.cppGapModel,BaseRfGap) or isinstance(self.cppGapModel,BaseRfGap_slow)):
self.cppGapModel = BaseRfGap()
if(isinstance(self.cppGapModel,RfGapTTF) or isinstance(self.cppGapModel,RfGapTTF_slow)):
self.cppGapModel = RfGapTTF()
def setnParts(self, n = 1):
"""
Method. Sets the number of body parts of the node.
For the RF gap with zero length it will be only 1.
"""
BaseLinacNode.setnParts(self,1)
def setCppGapModel(self, cppGapModel = MatrixRfGap()):
"""
This method will set the fast c++ simple model for the RF Gap.
By default it is Matrix RF Gap model which is a linear transport matrix.
"""
self.cppGapModel = cppGapModel
def initialize(self):
"""
The BaseRF_Gap class implementation
of the AccNode class initialize() method.
"""
nParts = self.getnParts()
if(nParts != 1):
msg = "The BaseRF_Gap RF gap should have 1 parts!"
msg = msg + os.linesep
msg = msg + "Method initialize():"
msg = msg + os.linesep
msg = msg + "Name of element=" + self.getName()
msg = msg + os.linesep
msg = msg + "Type of element=" + self.getType()
msg = msg + os.linesep
msg = msg + "nParts =" + str(nParts)
msg = msg + os.linesep
msg = msg + "lenght =" + str(self.getLength())
orbitFinalize(msg)
self.setLength(0.,0)
def isFirstRFGap(self):
"""
Returns True if it is the first gap in RF cavity.
"""
return self.__isFirstGap
def setAsFirstRFGap(self, isFirst):
"""
Sets if it is the first gap in RF cavity.
"""
self.__isFirstGap = isFirst
def setRF_Cavity(self, rf_cav):
"""
Sets the parent RF Cavity.
"""
self.addParam("rfCavity",rf_cav)
def getRF_Cavity(self):
"""
Returns the parent RF Cavity.
"""
return self.getParam("rfCavity")
def setGapPhase(self, gap_phase):
"""
Sets the rf gap phase.
"""
self.setParam("gap_phase",gap_phase)
def getGapPhase(self):
"""
Returns the rf gap phase.
"""
return self.getParam("gap_phase")
def getTTF_Polynimials(self):
"""
Returns the T,S,Tp,Sp, polynomials in the TTF model.
"""
return (self.polyT,self.polyS,self.polyTp,self.polySp)
def getBetaMinMax(self):
"""
Returns beta min and max for TTF model polynomials.
"""
return (self.getParam("beta_min"),self.getParam("beta_max") )
def setBetaMinMax(self,beta_min,beta_max):
"""
Sets beta min and max for TTF model polynomials.
"""
self.setParam("beta_min", beta_min)
self.setParam("beta_max", beta_max)
def track(self, paramsDict):
"""
The simplest RF gap class implementation of
the AccNode class track(probe) method.
"""
bunch = paramsDict["bunch"]
syncPart = bunch.getSyncParticle()
E0TL = self.getParam("E0TL")
E0L = self.getParam("E0L")
modePhase = self.getParam("mode")*math.pi
rfCavity = self.getRF_Cavity()
frequency = rfCavity.getFrequency()
phase = rfCavity.getPhase() + modePhase
rf_ampl = rfCavity.getAmp()
arrival_time = syncPart.time()
designArrivalTime = rfCavity.getDesignArrivalTime()
if(self.__isFirstGap):
if(rfCavity.isDesignSetUp()):
#print "debug RF =",self.getName()," phase=",(phase*180./math.pi - 180.)
phase = math.fmod(frequency*(arrival_time - designArrivalTime)*2.0*math.pi + phase,2.0*math.pi)
#print "debug RF =",self.getName()," phase=",(phase*180./math.pi - 180.)
else:
sequence = self.getSequence()
accLattice = sequence.getLinacAccLattice()
msg = "The BaseRF_Gap class. You have to run trackDesign on the LinacAccLattice first to initialize all RF Cavities' phases!"
msg = msg + os.linesep
if(accLattice != None):
msg = msg + "Lattice =" + accLattice.getName()
msg = msg + os.linesep
if(sequence != None):
msg = msg + "Sequence =" + sequence.getName()
msg = msg + os.linesep
msg = msg + "RF Cavity =" + rfCavity.getName()
msg = msg + os.linesep
msg = msg + "Name of element=" + self.getName()
msg = msg + os.linesep
msg = msg + "Type of element=" + self.getType()
msg = msg + os.linesep
orbitFinalize(msg)
else:
phase = math.fmod(frequency*(arrival_time - designArrivalTime)*2.0*math.pi+phase,2.0*math.pi)
#---- rf gap input phase -----
self.setGapPhase(phase)
#call rf gap model to track the bunch
if(isinstance(self.cppGapModel,MatrixRfGap) or isinstance(self.cppGapModel,BaseRfGap) or isinstance(self.cppGapModel,BaseRfGap_slow)):
self.cppGapModel.trackBunch(bunch,frequency,E0TL*rf_ampl,phase)
else:
self.ttf_track_bunch__(bunch,frequency,E0L*rf_ampl,phase)
#print "debug delta_time in deg=",frequency*(arrival_time - designArrivalTime)*380.
#print "debug RF =",self.getName()," E0TL=",E0TL," phase=",(phase*180./math.pi - 180.)," eKin[MeV]=",bunch.getSyncParticle().kinEnergy()*1.0e+3
def trackDesign(self, paramsDict):
"""
The RF First Gap node setups the design time of passage
of the bunch through this node.
"""
bunch = paramsDict["bunch"]
eKin_in = bunch.getSyncParticle().kinEnergy()
E0TL = self.getParam("E0TL")
E0L = self.getParam("E0L")
rfCavity = self.getRF_Cavity()
modePhase = self.getParam("mode")*math.pi
arrival_time = bunch.getSyncParticle().time()
frequency = rfCavity.getFrequency()
phase = rfCavity.getPhase() + modePhase
if(self.__isFirstGap):
rfCavity.setDesignArrivalTime(arrival_time)
rfCavity.setDesignSetUp(True)
rfCavity._setDesignPhase(rfCavity.getPhase())
rfCavity._setDesignAmp(rfCavity.getAmp())
else:
first_gap_arr_time = rfCavity.getDesignArrivalTime()
#print "debug name=",self.getName()," delta_phase=",frequency*(arrival_time - first_gap_arr_time)*360.0," phase=",phase*180/math.pi
phase = math.fmod(frequency*(arrival_time - first_gap_arr_time)*2.0*math.pi+phase,2.0*math.pi)
#print "debug design name=",self.getName()," arr_time=",arrival_time," phase=",phase*180./math.pi," E0TL=",E0TL*1.0e+3," freq=",frequency
#---- rf gap input phase -----
self.setGapPhase(phase)
#call rf gap model to track the bunch
rf_ampl = rfCavity.getDesignAmp()
if(isinstance(self.cppGapModel,MatrixRfGap) or isinstance(self.cppGapModel,BaseRfGap) or isinstance(self.cppGapModel,BaseRfGap_slow)):
self.cppGapModel.trackBunch(bunch,frequency,E0TL*rf_ampl,phase)
else:
self.ttf_track_bunch__(bunch,frequency,E0L*rf_ampl,phase)
eKin_out = bunch.getSyncParticle().kinEnergy()
#print "debug name=",self.getName()," phase=",(phase*180./math.pi-180.)," Ein=",eKin_in*1000.," Eout=",eKin_out*1000.," dE=",(eKin_out-eKin_in)*1000.
def ttf_track_bunch__(self,bunch,frequency,E0L,phase):
"""
Tracks the bunch through the TTF thin gap model. This private method was
introduced to to check the beta TTF limits in the polynomial representation
of T,T',S,and S' functions of the relativistic beta.
"""
beta = bunch.getSyncParticle().beta()
beta_min = self.getParam("beta_min")
beta_max = self.getParam("beta_max")
if(beta < beta_min or beta > beta_max):
sequence = self.getSequence()
accLattice = sequence.getLinacAccLattice()
rfCavity = self.getRF_Cavity()
msg = "The Python BaseRF_Gap class. The beta for SyncPart is not in the range [min:max]!"
msg = msg + os.linesep
if(accLattice != None):
msg = msg + "Lattice =" + accLattice.getName()
msg = msg + os.linesep
if(sequence != None):
msg = msg + "Sequence =" + sequence.getName()
msg = msg + os.linesep
msg = msg + "RF Cavity =" + rfCavity.getName()
msg = msg + os.linesep
msg = msg + "Name of element=" + self.getName()
msg = msg + os.linesep
msg = msg + "Type of element=" + self.getType()
msg = msg + os.linesep
msg = msg + "beta=" + str(beta)
msg = msg + os.linesep
msg = msg + "beta min=" + str(beta_min)
msg = msg + os.linesep
msg = msg + "beta max=" + str(beta_max)
msg = msg + os.linesep
orbitFinalize(msg)
self.cppGapModel.trackBunch(bunch,frequency,E0L,phase,self.polyT,self.polyS,self.polyTp,self.polySp)
class PolynomialFit: def __init__(self,order): """ The calss to fit Function or SplineCH with a polynomial. """ self.order = order self.polynomial = Polynomial() #self.coef_err_arr is a final array with coef_arr and err_arr for polinomial coefficients self.coef_err_arr = [] #self.x_y_err_arr is initial data with (x,y,y_err) points self.x_y_err_arr = [] def getPolynomial(self): """ It returns an unbounded polynomial. """ polynomial = Polynomial() self.polynomial.copyTo(polynomial) return polynomial def getCoefficientsAndErr(self): """ It returns the list of coefficients and their errors """ return self.coef_err_arr def getCoefficients(self): """ Returns the list of coefficients of the polynomial """ coef_arr = [] for i in range(len(self.coef_err_arr)): [coef,err] = self.coef_err_arr[i] coef_arr.append(coef) return coef_arr def fitFunction(self, function): """ Fit the Function instance """ self.x_y_err_arr = [] for i in range(function.getSize()): x = function.x(i) y = function.y(i) err = function.err(i) self.x_y_err_arr.append([x,y,err]) self._makePolynomial() def fitSpline(self, spline): """ Fit the SplineCH instance """ self.x_y_err_arr = [] for i in range(spline.getSize()): x = spline.x(i) y = spline.y(i) err = 0. self.x_y_err_arr.append([x,y,err]) self._makePolynomial() def _makePolynomial(self): nPoints = len(self.x_y_err_arr) if(nPoints < (self.order+1)): self.order = nPoints - 1 #check if just one of errors is zero infoZeroErr = 1.0 for [x,y,err] in self.x_y_err_arr: infoZeroErr *= err for i in range(nPoints): [x,y,err] = self.x_y_err_arr[i] sigma = 1.0 if(infoZeroErr != 0.): sigma = 1.0/(err*err) self.x_y_err_arr[i][2] = sigma #now make A matrix aMatr = Matrix(nPoints,self.order+1) for i in range(nPoints): for j in range(self.order+1): x = self.x_y_err_arr[i][0] aMatr.set(i,j,math.pow(x,j)) aTCa = Matrix(self.order+1,self.order+1) for i in range(self.order+1): for j in range(self.order+1): a = 0. for k in range(nPoints): sigma = self.x_y_err_arr[k][2] a += aMatr.get(k,i)*sigma*aMatr.get(k,j) aTCa.set(i,j,a) #now the resuting coefficients and errors aTCaI = aTCa.invert() e = aTCaI.mult(aTCa) if(aTCa == None): print "python PolynomialFit: Problem with data." for i in range(nPoints): x = self.x_y_err_arr[i][0] y = self.x_y_err_arr[i][1] err = self.x_y_err_arr[i][2] print " x,y,err = %12.5g %12.5g %12.5g "%(x,y,err) print "Stop." sys.exit(1) coef_arr = [0.]*(self.order+1) err_arr = [0.]*(self.order+1) for i in range(self.order+1): err_arr[i] = math.sqrt(math.fabs(aTCaI.get(i,i))) for i in range(self.order+1): coef_arr[i] = 0. for j in range(self.order+1): for k in range(nPoints): sigma = self.x_y_err_arr[k][2] y = self.x_y_err_arr[k][1] coef_arr[i] += aTCaI.get(i,j)*aMatr.get(k,j)*sigma*y # polinimial coefficients are found self.polynomial.order(self.order) for i in range(len(coef_arr)): self.polynomial.coefficient(i,coef_arr[i]) # now let's calculate errors if(infoZeroErr == 0.): total_sigma = 0. for k in range(nPoints): x = self.x_y_err_arr[k][0] y = self.x_y_err_arr[k][1] total_sigma += (self.polynomial.value(x)-y)**2 total_sigma = math.sqrt(total_sigma/(nPoints-2)) for i in range(len(err_arr)): err_arr[i] *= total_sigma # set the resulting coefficients and errors array self.coef_err_arr = [coef_arr,err_arr]
#-------------------------------------------------------------
# This is an example of Polynomial class
# The methods "derivativeTo","derivative", "copyTo" and "value" are included.
#-------------------------------------------------------------
import sys
import math
from orbit_utils import Polynomial
poly = Polynomial(4)
print "initial order = ", poly.order()
poly.coefficient(2, 2.0)
print "========Polynomial======="
order = poly.order()
for i in range(order + 1):
print "i=", i, " coef=", poly.coefficient(i)
x = 10.
y = poly.value(x)
print "x=", x, " y=", y
poly1 = Polynomial()
poly.derivativeTo(poly1)
print "========Derivative polynomial======="
order = poly1.order()
for i in range(order + 1):
print "i=", i, " coef=", poly1.coefficient(i)
# from linac import the RF gap classes from linac import BaseRfGap, MatrixRfGap, RfGapTTF rf_gap_ttf = RfGapTTF() T_ttf = rf_gap_ttf.getT_TTF() S_ttf = rf_gap_ttf.getS_TTF() #--------------------------------------- # We set T, T', S, and S'. The T'=dT/d(cappa) and S'=dS/d(cappa). # where cappa = 2*PI*frequency/(c*beta) # The T' and S' are set up as separate polynomials, because # the accuracy of calculating a derivative from the polynomial # fitting is very low. #--------------------------------------- polyT = Polynomial(4) polyT.coefficient(2,2.0) rf_gap_ttf.setT_TTF(polyT) polyS = Polynomial(5) polyS.coefficient(3,3.0) rf_gap_ttf.setS_TTF(polyS) polyTp = Polynomial(4) polyTp.coefficient(3,2.0) rf_gap_ttf.setT_TTF(polyTp) polySp = Polynomial(5) polySp.coefficient(1,3.0) rf_gap_ttf.setS_TTF(polySp) beta_min = 0.5
class BaseRF_Gap(AbstractRF_Gap):
"""
The simplest RF gap representation. The only E0*T*L or E0*L and TTFs define
all effects of the node. By default the Matrix RF Gap model is used.
This model can be replaced later with a more complex RF gap model by using
the setCppGapModel(...) method. User should provide the necessary parameters
for each type of RF gap model.
MatrixRfGap - E0TL, mode
BaseRfGap - E0TL, mode
RfGapTTF - E0L, T,S,Tp,Sp, beta_min, beta_max
The phase of the first gap in the cavity is defined by the parent cavity instance.
The relative amplitude is also defined by the parent cavity instance.
The 'mode' parameter is a shift of the phase between two gaps in PI units.
"""
def __init__(self, name = "baserfgap"):
"""
Constructor for the simplest RF gap.
E0L and E0TL parameters are in GeV. Phases are in radians.
"""
AbstractRF_Gap.__init__(self,name)
self.addParam("E0TL",0.)
self.addParam("mode",0.)
self.addParam("gap_phase",0.)
self.addParam("rfCavity", None)
#----- TTF model params ------
self.addParam("E0L",0.)
self.polyT = Polynomial(0)
self.polyT.coefficient(0,1.0)
self.polyS = Polynomial(0)
self.polyS.coefficient(0,0.0)
self.polyTp = Polynomial(0)
self.polyTp.coefficient(0,0.0)
self.polySp = Polynomial(0)
self.polySp.coefficient(0,0.0)
self.addParam("beta_min",0.)
self.addParam("beta_max",1.)
#-----------------------------
self.addParam("rfCavity",None)
self.addParam("EzFile","no_file")
self.setType("baserfgap")
self.__isFirstGap = False
self.cppGapModel = MatrixRfGap()
self.cppGapModel = BaseRfGap()
self.cppGapModel = RfGapTTF()
def setnParts(self, n = 1):
"""
Method. Sets the number of body parts of the node. For the RF gap it will be only 1.
"""
BaseLinacNode.setnParts(self,1)
def setCppGapModel(self, cppGapModel = MatrixRfGap()):
"""
This method will set the fast c++ simple model for the RF Gap.
By default it is Matrix RF Gap model which is a linear transport matrix.
"""
self.cppGapModel = cppGapModel
def initialize(self):
"""
The Ring RF TEAPOT class implementation
of the AccNode class initialize() method.
"""
nParts = self.getnParts()
if(nParts != 1):
msg = "The simple Rf gap should have 1 parts!"
msg = msg + os.linesep
msg = msg + "Method initialize():"
msg = msg + os.linesep
msg = msg + "Name of element=" + self.getName()
msg = msg + os.linesep
msg = msg + "Type of element=" + self.getType()
msg = msg + os.linesep
msg = msg + "nParts =" + str(nParts)
msg = msg + os.linesep
msg = msg + "lenght =" + str(self.getLength())
orbitFinalize(msg)
self.setLength(0.,0)
def isRFGap(self):
"""
Returns True.
"""
return True
def isFirstRFGap(self):
"""
Returns True if it is the first gap in RF cavity.
"""
return self.__isFirstGap
def setAsFirstRFGap(self, isFirst):
"""
Sets if it is the first gap in RF cavity.
"""
self.__isFirstGap = isFirst
def setRF_Cavity(self, rf_cav):
"""
Sets the parent RF Cavity.
"""
self.addParam("rfCavity",rf_cav)
def getRF_Cavity(self):
"""
Returns the parent RF Cavity.
"""
return self.getParam("rfCavity")
def setGapPhase(self, gap_phase):
"""
Sets the rf gap phase.
"""
self.setParam("gap_phase",gap_phase)
def getGapPhase(self):
"""
Returns the rf gap phase.
"""
return self.getParam("gap_phase")
def getTTF_Polynimials(self):
"""
Returns the T,S,Tp,Sp, polynomials in the TTF model.
"""
return (self.polyT,self.polyS,self.polyTp,self.polySp)
def getBetaMinMax(self):
"""
Returns beta min and max for TTF model polynomials.
"""
return (self.getParam("beta_min"),self.getParam("beta_max") )
def setBetaMinMax(self,beta_min,beta_max):
"""
Sets beta min and max for TTF model polynomials.
"""
self.setParam("beta_min", beta_min)
self.setParam("beta_max", beta_max)
def track(self, paramsDict):
"""
The simplest RF gap class implementation of
the AccNode class track(probe) method.
"""
bunch = paramsDict["bunch"]
syncPart = bunch.getSyncParticle()
E0TL = self.getParam("E0TL")
E0L = self.getParam("E0L")
modePhase = self.getParam("mode")*math.pi
rfCavity = self.getRF_Cavity()
frequency = rfCavity.getFrequency()
phase = rfCavity.getPhase() + modePhase
rf_ampl = rfCavity.getAmp()
arrival_time = syncPart.time()
designArrivalTime = rfCavity.getDesignArrivalTime()
if(self.__isFirstGap):
if(rfCavity.isDesignSetUp()):
#print "debug RF =",self.getName()," phase=",(phase*180./math.pi - 180.)
phase = math.fmod(frequency*(arrival_time - designArrivalTime)*2.0*math.pi + phase,2.0*math.pi)
#print "debug RF =",self.getName()," phase=",(phase*180./math.pi - 180.)
else:
sequence = self.getSequence()
accLattice = sequence.getLinacAccLattice()
msg = "The BaseRF_Gap class. You have to run trackDesign on the LinacAccLattice first to initialize all RF Cavities' phases!"
msg = msg + os.linesep
if(accLattice != None):
msg = msg + "Lattice =" + accLattice.getName()
msg = msg + os.linesep
if(sequence != None):
msg = msg + "Sequence =" + sequence.getName()
msg = msg + os.linesep
msg = msg + "RF Cavity =" + rfCavity.getName()
msg = msg + os.linesep
msg = msg + "Name of element=" + self.getName()
msg = msg + os.linesep
msg = msg + "Type of element=" + self.getType()
msg = msg + os.linesep
orbitFinalize(msg)
else:
phase = math.fmod(frequency*(arrival_time - designArrivalTime)*2.0*math.pi+phase,2.0*math.pi)
#---- rf gap input phase -----
self.setGapPhase(phase)
#call rf gap model to track the bunch
if(isinstance(self.cppGapModel,MatrixRfGap) or isinstance(self.cppGapModel,BaseRfGap)):
self.cppGapModel.trackBunch(bunch,frequency,E0TL*rf_ampl,phase)
else:
self.ttf_track_bunch__(bunch,frequency,E0L*rf_ampl,phase)
#print "debug delta_time in deg=",frequency*(arrival_time - designArrivalTime)*380.
#print "debug RF =",self.getName()," E0TL=",E0TL," phase=",(phase*180./math.pi - 180.)," eKin[MeV]=",bunch.getSyncParticle().kinEnergy()*1.0e+3
def trackDesign(self, paramsDict):
"""
The RF First Gap node setups the design time of passage
of the bunch through this node.
"""
bunch = paramsDict["bunch"]
eKin_in = bunch.getSyncParticle().kinEnergy()
E0TL = self.getParam("E0TL")
E0L = self.getParam("E0L")
rfCavity = self.getRF_Cavity()
modePhase = self.getParam("mode")*math.pi
arrival_time = bunch.getSyncParticle().time()
frequency = rfCavity.getFrequency()
phase = rfCavity.getPhase() + modePhase
rf_ampl = rfCavity.getDesignAmp()
if(self.__isFirstGap):
rfCavity.setDesignArrivalTime(arrival_time)
rfCavity.setDesignSetUp(True)
rfCavity._setDesignPhase(rfCavity.getPhase())
rfCavity._setDesignAmp(rfCavity.getAmp())
else:
first_gap_arr_time = rfCavity.getDesignArrivalTime()
#print "debug name=",self.getName()," delta_phase=",frequency*(arrival_time - first_gap_arr_time)*360.0," phase=",phase*180/math.pi
phase = math.fmod(frequency*(arrival_time - first_gap_arr_time)*2.0*math.pi+phase,2.0*math.pi)
#print "debug name=",self.getName()," arr_time=",arrival_time," phase=",phase*180./math.pi," E0TL=",E0TL*1.0e+3," freq=",frequency
#---- rf gap input phase -----
self.setGapPhase(phase)
#call rf gap model to track the bunch
if(isinstance(self.cppGapModel,MatrixRfGap) or isinstance(self.cppGapModel,BaseRfGap)):
self.cppGapModel.trackBunch(bunch,frequency,E0TL*rf_ampl,phase)
else:
self.ttf_track_bunch__(bunch,frequency,E0L*rf_ampl,phase)
eKin_out = bunch.getSyncParticle().kinEnergy()
#print "debug name=",self.getName()," phase=",(phase*180./math.pi-180.)," Ein=",eKin_in*1000.," Eout=",eKin_out*1000.," dE=",(eKin_out-eKin_in)*1000.
def ttf_track_bunch__(self,bunch,frequency,E0L,phase):
"""
Tracks the bunch through the TTF thin gap model.
"""
beta = bunch.getSyncParticle().beta()
beta_min = self.getParam("beta_min")
beta_max = self.getParam("beta_max")
if(beta < beta_min or beta > beta_max):
sequence = self.getSequence()
accLattice = sequence.getLinacAccLattice()
rfCavity = self.getRF_Cavity()
msg = "The Python BaseRF_Gap class. The beta for SyncPart is not in the range [min:max]!"
msg = msg + os.linesep
if(accLattice != None):
msg = msg + "Lattice =" + accLattice.getName()
msg = msg + os.linesep
if(sequence != None):
msg = msg + "Sequence =" + sequence.getName()
msg = msg + os.linesep
msg = msg + "RF Cavity =" + rfCavity.getName()
msg = msg + os.linesep
msg = msg + "Name of element=" + self.getName()
msg = msg + os.linesep
msg = msg + "Type of element=" + self.getType()
msg = msg + os.linesep
msg = msg + "beta=" + str(beta)
msg = msg + os.linesep
msg = msg + "beta min=" + str(beta_min)
msg = msg + os.linesep
msg = msg + "beta max=" + str(beta_max)
msg = msg + os.linesep
orbitFinalize(msg)
self.cppGapModel.trackBunch(bunch,frequency,E0L,phase,self.polyT,self.polyS,self.polyTp,self.polySp)
# from linac import the RF gap classes from linac import BaseRfGap, MatrixRfGap, RfGapTTF rf_gap_ttf = RfGapTTF() T_ttf = rf_gap_ttf.getT_TTF() S_ttf = rf_gap_ttf.getS_TTF() #--------------------------------------- # We set T, T', S, and S'. The T'=dT/d(cappa) and S'=dS/d(cappa). # where cappa = 2*PI*frequency/(c*beta) # The T' and S' are set up as separate polynomials, because # the accuracy of calculating a derivative from the polynomial # fitting is very low. #--------------------------------------- polyT = Polynomial(4) polyT.coefficient(2, 2.0) rf_gap_ttf.setT_TTF(polyT) polyS = Polynomial(5) polyS.coefficient(3, 3.0) rf_gap_ttf.setS_TTF(polyS) polyTp = Polynomial(4) polyTp.coefficient(3, 2.0) rf_gap_ttf.setT_TTF(polyTp) polySp = Polynomial(5) polySp.coefficient(1, 3.0) rf_gap_ttf.setS_TTF(polySp) beta_min = 0.5