def hamiltonian(self, problem, quantum_numbers):
"""
Given a spherically symmetric problem and quantum numbers,
generates a Hamiltonian matrix in the momentum (k) basis.
"""
points, weights = self.contour
def H_func(i, j):
return self.H_element(
points[i], points[j], weights[i], weights[j],
problem.mass, problem.potential, quantum_numbers
)
return matrix_from_function(H_func, order=len(points), symmetric=True)
def hamiltonian(self, problem, Q):
"""
Given a spherically symmetric problem and quantum numbers,
generates a Hamiltonian matrix in the Spherical Harmonic
Oscillator basis.
"""
nu = self.mass * self.omega / 2
R_nls = [self.gen_R_nl(n, Q.l, nu)
for n in xrange(self.basis_state_count)]
def H_func(i, j):
return self.H_element(i, j, problem.potential,
problem.HO_omega, Q, R_nls)
return matrix_from_function(H_func, self.basis_state_count,
hermitian=True)
def hamiltonian(self, problem, Q):
"""
Given a spherically symmetric problem and quantum numbers,
generates a Hamiltonian matrix in the Spherical Harmonic
Oscillator basis.
"""
nu = self.mass * self.omega / 2
R_nls = [
self.gen_R_nl(n, Q.l, nu) for n in xrange(self.basis_state_count)
]
def H_func(i, j):
return self.H_element(i, j, problem.potential, problem.HO_omega, Q,
R_nls)
return matrix_from_function(H_func,
self.basis_state_count,
hermitian=True)
