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import numpy as np
from . import WarpX
from . import warpxC
class PGroup(object):
"""Implements a class that has the same API as a warp ParticleGroup instance.
"""
def __init__(self):
self.ns = 1 # Number of species
self.npmax = 0 # Size of data arrays
self.npid = 0 # number of columns for pid.
self.gallot()
def name(self):
return 'WarpXParticleGroup'
def gallot(self):
self.lebcancel_pusher = 0 # turns on/off cancellation of E+VxB within V push (logical type)
self.lebcancel = 0 # turns on/off cancellation of E+VxB before V push (logical type)
self.sm = np.zeros(self.ns) # Species mass [kg]
self.sq = np.zeros(self.ns) # Species charge [C]
self.sw = np.zeros(self.ns) # Species weight, (real particles per simulation particles)
self.ins = np.ones(self.ns, dtype=int) # Index of first particle in species
self.nps = np.zeros(self.ns, dtype=int) # Number of particles in species
self.ipmax = np.zeros(self.ns+1, dtype=int) # Max extent within the arrays of each species
self.sid = np.arange(self.ns, dtype=int) # Global species index for each species
self.ndts = np.ones(self.ns, dtype=int) # Stride for time step advance for each species
self.ldts = np.ones(self.ns, dtype=int) # (logical type)
self.lvdts = np.ones(self.ns, dtype=int) # (logical type)
self.iselfb = np.zeros(self.ns, dtype=int) # Group number for particles that are affected by
# their own magnetic field, using the 1/gamma**2
# approximation. The correction is not applied to
# group number -1.
self.fselfb = np.zeros(self.ns) # The scaling factor, vz.
self.l_maps = np.zeros(self.ns)
self.dtscale = np.ones(self.ns) # Scale factor applied to time step size for each
# species. Only makes sense in steaday and and
# transverse slice modes.
self.limplicit = np.zeros(self.ns, dtype=int) # Flags implicit particle species (logical type)
self.iimplicit = np.full(self.ns, -1, dtype=int) # Group number for implicit particles
self.ldoadvance = np.ones(self.ns, dtype=int) # Flags whether particles are time advanced (logical type)
self.lboundaries = np.ones(self.ns, dtype=int) # Flags whether boundary conditions need to be applied (logical type)
self.lparaxial = np.zeros(self.ns, dtype=int) # Flags to turn on/off paraxial approximation (logical type)
self.zshift = np.zeros(self.ns)
self.gamma_ebcancel_max = np.ones(self.ns) # maximum value allowed for ExB cancellation
self.gaminv = np.ones(self.npmax) # inverse relativistic gamma factor
self._xp = np.zeros(self.npmax) # X-positions of particles [m]
self._yp = np.zeros(self.npmax) # Y-positions of particles [m]
self._zp = np.zeros(self.npmax) # Z-positions of particles [m]
self._uxp = np.zeros(self.npmax) # gamma * X-velocities of particles [m/s]
self._uyp = np.zeros(self.npmax) # gamma * Y-velocities of particles [m/s]
self._uzp = np.zeros(self.npmax) # gamma * Z-velocities of particles [m/s]
self._ex = np.zeros(self.npmax) # Ex of particles [V/m]
self._ey = np.zeros(self.npmax) # Ey of particles [V/m]
self._ez = np.zeros(self.npmax) # Ez of particles [V/m]
self._bx = np.zeros(self.npmax) # Bx of particles [T]
self._by = np.zeros(self.npmax) # By of particles [T]
self._bz = np.zeros(self.npmax) # Bz of particles [T]
self._pid = np.zeros((self.npmax, self.npid)) # Particle ID - used for various purposes
# --- Temporary fix
gchange = gallot
def allocated(self, name):
return (getattr(self, name, None) is not None)
def addspecies(self):
pass
def _updatelocations(self):
warpx = WarpX.warpx.warpx
mypc = warpx.GetPartContainer()
xplist = []
yplist = []
zplist = []
for ispecie in range(mypc.nSpecies()):
pc = mypc.GetParticleContainer(ispecie)
xx = pc.getLocations()
xplist.append(xx[0,:])
yplist.append(xx[1,:])
zplist.append(xx[2,:])
self.nps[ispecie] = len(xplist[-1])
if ispecie > 0:
self.ins[ispecie] = self.ins[ispecie-1] + self.nps[ispecie-1]
self.ipmax[ispecie+1] = self.ins[ispecie] + self.nps[ispecie] - 1
self._xp = np.concatenate(xplist)
self._yp = np.concatenate(yplist)
self._zp = np.concatenate(zplist)
self.npmax = len(self._xp)
def _updatevelocities(self):
warpx = WarpX.warpx.warpx
mypc = warpx.GetPartContainer()
uxplist = []
uyplist = []
uzplist = []
for ispecie in range(mypc.nSpecies()):
pc = mypc.GetParticleContainer(ispecie)
vv = pc.getData(0, 3)
uxplist.append(vv[0,:])
uyplist.append(vv[1,:])
uzplist.append(vv[2,:])
self.nps[ispecie] = len(uxplist[-1])
if ispecie > 0:
self.ins[ispecie] = self.ins[ispecie-1] + self.nps[ispecie-1]
self.ipmax[ispecie+1] = self.ins[ispecie] + self.nps[ispecie] - 1
self._uxp = np.concatenate(uxplist)
self._uyp = np.concatenate(uyplist)
self._uzp = np.concatenate(uzplist)
self.npmax = len(self._xp)
def _updatepids(self):
warpx = WarpX.warpx.warpx
mypc = warpx.GetPartContainer()
pidlist = []
for ispecie in range(mypc.nSpecies()):
pc = mypc.GetParticleContainer(ispecie)
self.npid = pc.nAttribs - 3
vv = pc.getData(3, self.npid)
pidlist.append(vv)
self.nps[ispecie] = len(uxplist[-1])
if ispecie > 0:
self.ins[ispecie] = self.ins[ispecie-1] + self.nps[ispecie-1]
self.ipmax[ispecie+1] = self.ins[ispecie] + self.nps[ispecie] - 1
self._pid = np.concatenate(pidlist.T, axis=0)
self.npmax = self._pid.shape[0]
def getxp(self):
self._updatelocations()
return self._xp
xp = property(getxp)
def getyp(self):
self._updatelocations()
return self._yp
yp = property(getyp)
def getzp(self):
self._updatelocations()
return self._zp
zp = property(getzp)
def getuxp(self):
self._updatevelocities()
return self._uxp
uxp = property(getuxp)
def getuyp(self):
self._updatevelocities()
return self._uyp
uyp = property(getuyp)
def getuzp(self):
self._updatevelocities()
return self._uzp
uzp = property(getuzp)
def getpid(self):
self._updatepids()
return self._pid
pid = property(getpid)
def getgaminv(self):
uxp = self.uxp
uyp = self.uyp
uzp = self.uzp
return sqrt(1. - (uxp**2 + uyp**2 + uzp**2)/warpxC.c**2)
gaminv = property(getgaminv)
def getex(self):
return np.zeros(self.npmax)
ex = property(getex)
def getey(self):
return np.zeros(self.npmax)
ey = property(getey)
def getez(self):
return np.zeros(self.npmax)
ez = property(getez)
def getbx(self):
return np.zeros(self.npmax)
bx = property(getbx)
def getby(self):
return np.zeros(self.npmax)
by = property(getby)
def getbz(self):
return np.zeros(self.npmax)
bz = property(getbz)
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