def sputter(self, adatomList):
#number of particles per ms to reach sputter rate
initServ = InitValService()
noa = initServ.getParticleRate(self.initVal)
pServ = ParticleService()
for i in range(noa):
adatom = pServ.createAdatom(self.initVal)
adatomList.addParticle(adatom)
def atomFlow(self, initval, cluster):
initServ = InitValService()
for adCluster in cluster.getContacts():
if adCluster.getN()>cluster.getN():
continue
else:
flow = initServ.getAtomFlow(initval, adCluster.getR())
if adCluster.atomFlow(-1*flow) == True:
cluster.atomFlow(flow)
else:
cluster.atomFlow(adCluster.getN())
adCluster.atomFlow(-1* adCluster.getN())
def setClusterRev(self, initval, cluster, coalescenceList):
"""
Gets the interface Atoms of the clusters
associated with a coalescence group and
calculates the event radius
"""
initServ = InitValService()
R = cluster.getR()
liste = coalescenceList.findCluster(cluster)
N = liste.getInterN()
rev = initServ.getREv(initval, N)
cluster.setREv( rev / numpy.power(3, N-1) + R )
def createAdatom(self, initval):
"""
Erzeugt ein Adatom und
fuegt es zur Liste hinzu
"""
assert(initval.getValue('area') > 0), 'erzeugeAdatome: Area zu klein'
assert(initval.getValue('radius') > 0), 'erzeugeAdatome: Radius zu klein'
initServ = InitValService()
x = (random.random() - 0.5) * initval.getValue('area')
y = (random.random() - 0.5) * initval.getValue('area')
r = initval.getValue('radius')
rev = initServ.getAdatomEventRadius(initval) + r
adatom = Particle(x,y,r,rev)
return adatom
def getFusedREv(self, initval, pl):
initServ = InitValService()
N = pl.getInterN()
return initServ.getREv(initval, N)
