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Commit 133f4d0f authored by Davison, Jacob's avatar Davison, Jacob
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benchmarking_wd/imsrg_pairing.py
View file @ 133f4d0f
......@@ -4,10 +4,10 @@
# imsrg_pairing.py
#
# author: H. Hergert
# version: 1.5.0
# date: Dec 6, 2016
# version: 1.6.0
# date: Oct 16, 2019
#
# tested with Python v2.7
# tested with Python v3.7
#
# Solves the pairing model for four particles in a basis of four doubly
# degenerate states by means of an In-Medium Similarity Renormalization
......@@ -19,39 +19,36 @@ import numpy as np
from numpy import array, dot, diag, reshape, transpose
from scipy.linalg import eigvalsh
from scipy.integrate import odeint, ode
from math import pi
from sys import argv
import time
import pickle
#-----------------------------------------------------------------------------------
# basis and index functions
#-----------------------------------------------------------------------------------
# standard two particle basis
#@profile
def construct_basis_2B(holes, particles):
basis = []
for i in holes:
for j in holes:
basis.append((i, j)) # hole, hole
basis.append((i, j))
for i in holes:
for a in particles:
basis.append((i, a)) # hole, particle
basis.append((i, a))
for a in particles:
for i in holes:
basis.append((a, i)) # particle, hole
basis.append((a, i))
for a in particles:
for b in particles:
basis.append((a, b)) # particle, particle
basis.append((a, b))
return basis
#@profile
def construct_basis_ph2B(holes, particles):
basis = []
for i in holes:
......@@ -76,7 +73,6 @@ def construct_basis_ph2B(holes, particles):
#
# We use dictionaries for the reverse lookup of state indices
#
#@profile
def construct_index_2B(bas2B):
index = { }
for i, state in enumerate(bas2B):
......@@ -89,7 +85,6 @@ def construct_index_2B(bas2B):
#-----------------------------------------------------------------------------------
# transform matrices to particle-hole representation
#-----------------------------------------------------------------------------------
#@profile
def ph_transform_2B(Gamma, bas2B, idx2B, basph2B, idxph2B):
dim = len(basph2B)
Gamma_ph = np.zeros((dim, dim))
......@@ -100,7 +95,6 @@ def ph_transform_2B(Gamma, bas2B, idx2B, basph2B, idxph2B):
return Gamma_ph
#@profile
def inverse_ph_transform_2B(Gamma_ph, bas2B, idx2B, basph2B, idxph2B):
dim = len(bas2B)
Gamma = np.zeros((dim, dim))
......@@ -114,7 +108,6 @@ def inverse_ph_transform_2B(Gamma_ph, bas2B, idx2B, basph2B, idxph2B):
#-----------------------------------------------------------------------------------
# commutator of matrices
#-----------------------------------------------------------------------------------
#@profile
def commutator(a,b):
return dot(a,b) - dot(b,a)
......@@ -149,7 +142,6 @@ def calc_Gammaod_norm(Gamma, user_data):
#-----------------------------------------------------------------------------------
# occupation number matrices
#-----------------------------------------------------------------------------------
#@profile
def construct_occupation_1B(bas1B, holes, particles):
dim = len(bas1B)
occ = np.zeros(dim)
......@@ -160,7 +152,6 @@ def construct_occupation_1B(bas1B, holes, particles):
return occ
# diagonal matrix: n_a - n_b
#@profile
def construct_occupationA_2B(bas2B, occ1B):
dim = len(bas2B)
occ = np.zeros((dim,dim))
......@@ -172,7 +163,6 @@ def construct_occupationA_2B(bas2B, occ1B):
# diagonal matrix: 1 - n_a - n_b
#@profile
def construct_occupationB_2B(bas2B, occ1B):
dim = len(bas2B)
occ = np.zeros((dim,dim))
......@@ -183,7 +173,6 @@ def construct_occupationB_2B(bas2B, occ1B):
return occ
# diagonal matrix: n_a * n_b
#@profile
def construct_occupationC_2B(bas2B, occ1B):
dim = len(bas2B)
occ = np.zeros((dim,dim))
......@@ -265,6 +254,50 @@ def eta_imtime(f, Gamma, user_data):
return eta1B, eta2B
def eta_uniform_tangent(f, Gamma, user_data):
dim1B = user_data["dim1B"]
particles = user_data["particles"]
holes = user_data["holes"]
idx2B = user_data["idx2B"]
# one-body part of the generator
eta1B = np.zeros_like(f)
for a in particles:
for i in holes:
d = f[a,a] - f[i,i] + Gamma[idx2B[(a,i)], idx2B[(a,i)]]
x = d/2
val = d*f[a,i]/(x*x + f[a,i]*f[a,i])
eta1B[a, i] = val
eta1B[i, a] = -val
# two-body part of the generator
eta2B = np.zeros_like(Gamma)
for a in particles:
for b in particles:
for i in holes:
for j in holes:
d = (
f[a,a] + f[b,b] - f[i,i] - f[j,j]
+ Gamma[idx2B[(a,b)],idx2B[(a,b)]]
+ Gamma[idx2B[(i,j)],idx2B[(i,j)]]
- Gamma[idx2B[(a,i)],idx2B[(a,i)]]
- Gamma[idx2B[(a,j)],idx2B[(a,j)]]
- Gamma[idx2B[(b,i)],idx2B[(b,i)]]
- Gamma[idx2B[(b,j)],idx2B[(b,j)]]
)
x = d/2
g = Gamma[idx2B[(a,b)], idx2B[(i,j)]]
val = d*g/(x*x + g*g)
eta2B[idx2B[(a,b)],idx2B[(i,j)]] = val
eta2B[idx2B[(i,j)],idx2B[(a,b)]] = -val
return eta1B, eta2B
def eta_white(f, Gamma, user_data):
dim1B = user_data["dim1B"]
......@@ -278,12 +311,16 @@ def eta_white(f, Gamma, user_data):
for a in particles:
for i in holes:
denom = f[a,a] - f[i,i] + Gamma[idx2B[(a,i)], idx2B[(a,i)]]
val = f[a,i]/denom
# catch small or zero denominator - matrix element inspired by arctan version
if abs(denom)<1.0e-10:
val = 0.25 * pi * np.sign(f[a,i]) * np.sign(denom)
else:
val = f[a,i]/denom
# val = f[a,i]/denom
eta1B[a, i] = val
eta1B[i, a] = -val
# if denom < 1:
# print("one body {}{}, ".format(a,i), denom)
#print(denom)
eta1B[i, a] = -val
# two-body part of the generator
eta2B = np.zeros_like(Gamma)
......@@ -301,15 +338,16 @@ def eta_white(f, Gamma, user_data):
- Gamma[idx2B[(b,i)],idx2B[(b,i)]]
- Gamma[idx2B[(b,j)],idx2B[(b,j)]]
)
# catch small or zero denominator - matrix element inspired by arctan version
if abs(denom)<1.0e-10:
val = 0.25 * pi * np.sign(Gamma[idx2B[(a,b)], idx2B[(i,j)]]) * np.sign(denom)
else:
val = Gamma[idx2B[(a,b)], idx2B[(i,j)]] / denom
val = Gamma[idx2B[(a,b)], idx2B[(i,j)]] / denom
# val = Gamma[idx2B[(a,b)], idx2B[(i,j)]] / denom
eta2B[idx2B[(a,b)],idx2B[(i,j)]] = val
eta2B[idx2B[(i,j)],idx2B[(a,b)]] = -val
#print(denom)
if denom < 1:
print("two body {}{}{}{}, ".format(a,b,i,j), denom)
#print(Gamma[idx2B[(a,b)], idx2B[(i,j)]], a,b,i,j)
return eta1B, eta2B
......@@ -329,8 +367,6 @@ def eta_white_mp(f, Gamma, user_data):
val = f[a,i]/denom
eta1B[a, i] = val
eta1B[i, a] = -val
if denom < 1:
print("one body {}{}, ".format(a,i), denom)
# two-body part of the generator
eta2B = np.zeros_like(Gamma)
......@@ -348,10 +384,6 @@ def eta_white_mp(f, Gamma, user_data):
eta2B[idx2B[(a,b)],idx2B[(i,j)]] = val
eta2B[idx2B[(i,j)],idx2B[(a,b)]] = -val
if denom < 1:
print("two body {}{}{}{}, ".format(a,b,i,j), denom)
return eta1B, eta2B
def eta_white_atan(f, Gamma, user_data):
......@@ -366,7 +398,12 @@ def eta_white_atan(f, Gamma, user_data):
for a in particles:
for i in holes:
denom = f[a,a] - f[i,i] + Gamma[idx2B[(a,i)], idx2B[(a,i)]]
val = 0.5 * np.arctan(2 * f[a,i]/denom)
# catch zero or small denominator
if abs(denom)<1.0e-10:
val = 0.25 * pi * np.sign(f[a,i]) * np.sign(denom)
else:
val = 0.5 * np.arctan(2 * f[a,i]/denom)
eta1B[a, i] = val
eta1B[i, a] = -val
......@@ -387,14 +424,18 @@ def eta_white_atan(f, Gamma, user_data):
- Gamma[idx2B[(b,j)],idx2B[(b,j)]]
)
val = 0.5 * np.arctan(2 * Gamma[idx2B[(a,b)], idx2B[(i,j)]] / denom)
# catch zero or small denominator
if abs(denom)<1.0e-10:
val = 0.25 * pi * np.sign(Gamma[idx2B[(a,b)], idx2B[(i,j)]]) * np.sign(denom)
else:
val = 0.5 * np.arctan(2 * Gamma[idx2B[(a,b)], idx2B[(i,j)]] / denom)
eta2B[idx2B[(a,b)],idx2B[(i,j)]] = val
eta2B[idx2B[(i,j)],idx2B[(a,b)]] = -val
return eta1B, eta2B
#@profile
def eta_wegner(f, Gamma, user_data):
dim1B = user_data["dim1B"]
......@@ -431,7 +472,7 @@ def eta_wegner(f, Gamma, user_data):
#############################
# one-body flow equation
# one-body part of the generator
eta1B = np.zeros_like(f)
# 1B - 1B
......@@ -455,8 +496,8 @@ def eta_wegner(f, Gamma, user_data):
for p in range(dim1B):
for q in range(dim1B):
for i in holes:
eta1B[p,q] += (
0.5*GammaGamma[idx2B[(i,p)], idx2B[(i,q)]]
eta1B[p,q] += 0.5*(
GammaGamma[idx2B[(i,p)], idx2B[(i,q)]]
- transpose(GammaGamma)[idx2B[(i,p)], idx2B[(i,q)]]
)
......@@ -464,9 +505,9 @@ def eta_wegner(f, Gamma, user_data):
for p in range(dim1B):
for q in range(dim1B):
for r in range(dim1B):
eta1B[p,q] += (
0.5*GammaGamma[idx2B[(r,p)], idx2B[(r,q)]]
+ transpose(GammaGamma)[idx2B[(r,p)], idx2B[(r,q)]]
eta1B[p,q] += 0.5*(
GammaGamma[idx2B[(r,p)], idx2B[(r,q)]]
- transpose(GammaGamma)[idx2B[(r,p)], idx2B[(r,q)]]
)
......@@ -531,7 +572,6 @@ def eta_wegner(f, Gamma, user_data):
#-----------------------------------------------------------------------------------
# derivatives
#-----------------------------------------------------------------------------------
#@profile
def flow_imsrg2(eta1B, eta2B, f, Gamma, user_data):
dim1B = user_data["dim1B"]
......@@ -661,7 +701,6 @@ def flow_imsrg2(eta1B, eta2B, f, Gamma, user_data):
#-----------------------------------------------------------------------------------
# derivative wrapper
#-----------------------------------------------------------------------------------
#@profile
def get_operator_from_y(y, dim1B, dim2B):
# reshape the solution vector into 0B, 1B, 2B pieces
......@@ -719,7 +758,6 @@ def derivative_wrapper(t, y, user_data):
#-----------------------------------------------------------------------------------
# pairing Hamiltonian
#-----------------------------------------------------------------------------------
#@profile
def pairing_hamiltonian(delta, g, user_data):
bas1B = user_data["bas1B"]
bas2B = user_data["bas2B"]
......@@ -746,10 +784,84 @@ def pairing_hamiltonian(delta, g, user_data):
return H1B, H2B
def generalized_pairing_hamiltonian(eps, g, user_data):
bas1B = user_data["bas1B"]
bas2B = user_data["bas2B"]
idx2B = user_data["idx2B"]
dim = len(bas1B)
H1B = np.zeros((dim,dim))
for i in bas1B:
H1B[i,i] = eps[i]
dim = len(bas2B)
H2B = np.zeros((dim, dim))
# spin up states have even indices, spin down the next odd index
for (i, j) in bas2B:
if (i % 2 == 0 and j == i+1):
for (k, l) in bas2B:
if (k % 2 == 0 and l == k+1):
H2B[idx2B[(i,j)],idx2B[(k,l)]] = -0.5*g
H2B[idx2B[(j,i)],idx2B[(k,l)]] = 0.5*g
H2B[idx2B[(i,j)],idx2B[(l,k)]] = 0.5*g
H2B[idx2B[(j,i)],idx2B[(l,k)]] = -0.5*g
return H1B, H2B
#-----------------------------------------------------------------------------------
# pairing plus particle-hole Hamiltonian
#-----------------------------------------------------------------------------------
def pairing_plus_particlehole_hamiltonian(delta, g, fph, user_data):
bas1B = user_data["bas1B"]
bas2B = user_data["bas2B"]
idx2B = user_data["idx2B"]
dim = len(bas1B)
H1B = np.zeros((dim,dim))
for i in bas1B:
H1B[i,i] = delta*np.floor_divide(i, 2)
dim = len(bas2B)
H2B = np.zeros((dim, dim))
# pairing interaction
# spin up states have even indices, spin down the next odd index
for (i, j) in bas2B:
if (i % 2 == 0 and j == i+1):
for (k, l) in bas2B:
if (k % 2 == 0 and l == k+1):
H2B[idx2B[(i,j)],idx2B[(k,l)]] += -0.5*g
H2B[idx2B[(j,i)],idx2B[(k,l)]] += 0.5*g
H2B[idx2B[(i,j)],idx2B[(l,k)]] += 0.5*g
H2B[idx2B[(j,i)],idx2B[(l,k)]] += -0.5*g
# particle-hole interaction - defined with +fph here
# spin up states have even indices, spin down the next odd index
for (i, j) in bas2B:
if (i % 2 == 0 and j % 2 == 1 and j != i+1):
for (k, l) in bas2B:
if (k % 2 == 0 and l == k+1):
H2B[idx2B[(i,j)],idx2B[(k,l)]] += 0.5*fph
H2B[idx2B[(j,i)],idx2B[(k,l)]] += -0.5*fph
H2B[idx2B[(i,j)],idx2B[(l,k)]] += -0.5*fph
H2B[idx2B[(j,i)],idx2B[(l,k)]] += 0.5*fph
# Hermitian conjugate term
H2B[idx2B[(k,l)],idx2B[(i,j)]] += 0.5*fph
H2B[idx2B[(k,l)],idx2B[(j,i)]] += -0.5*fph
H2B[idx2B[(l,k)],idx2B[(i,j)]] += -0.5*fph
H2B[idx2B[(l,k)],idx2B[(j,i)]] += 0.5*fph
return H1B, H2B
#-----------------------------------------------------------------------------------
# normal-ordered pairing Hamiltonian
#-----------------------------------------------------------------------------------
#@profile
def normal_order(H1B, H2B, user_data):
bas1B = user_data["bas1B"]
bas2B = user_data["bas2B"]
......@@ -871,32 +983,31 @@ def dump_flow_data(count, s_val, E, f, Gamma, user_data):
for j in holes:
Gamma_trace += Gamma_rank4[i,j,i,j]
f_trace = 0
z_trace = 0
for i in holes:
f_trace += f[i,i]
z_trace += H1B[i,i]
H0B = E - f_trace + 0.5*Gamma_trace
print(s_val)
pickle.dump((s_val, H0B, H1B, H2B), open('vac_coeffs_reference_c{}.p'.format(count), 'wb'))
#@profile
def main(n_holes, g=2):
# grab delta and g from the command line
# delta = float(argv[1])
# g = float(argv[2])
delta = 1
#g = g
particles = n_holes
H0B = E - z_trace - 0.5*Gamma_trace
#print(s_val)
pickle.dump((H0B, H1B, H2B), open('vac_coeffs_reference_c{}.p'.format(count), 'wb'))
def main():
# grab delta, g, fph from the command line
delta = float(argv[1])
g = float(argv[2])
fph = float(argv[3])
particles = 4
# setup shared data
dim1B = n_holes*2
dim1B = 8
# this defines the reference state
# 1st state
holes = np.arange(particles)
particles = np.arange(particles,dim1B)
print(holes, particles)
holes = [0,1,2,3]
particles = [4,5,6,7]
# 2nd state
# holes = [0,1,4,5]
# particles = [2,3,6,7]
......@@ -905,8 +1016,13 @@ def main(n_holes, g=2):
# holes = [0,1,6,7]
# particles = [2,3,4,5]
# sensible choice for runs with pair-breaking interaction
# holes = [0,1,2,4]
# particles = [3,5,6,7]
# basis definitions
bas1B = list(range(dim1B))
bas1B = range(dim1B)
bas2B = construct_basis_2B(holes, particles)
basph2B = construct_basis_ph2B(holes, particles)
......@@ -942,24 +1058,23 @@ def main(n_holes, g=2):
"dE": 0.0, # and main routine
"calc_eta": eta_white, # specify the generator (function object)
"calc_eta": eta_white, # specify the generator (function object)
"calc_rhs": flow_imsrg2 # specify the right-hand side and truncation
}
# set up initial Hamiltonian
H1B, H2B = pairing_hamiltonian(delta, g, user_data)
pickle.dump((H1B, H2B), open('comparison.p','wb'))
# H1B, H2B = pairing_hamiltonian(delta, g, user_data)
H1B, H2B = pairing_plus_particlehole_hamiltonian(delta, g, fph, user_data)
# eps = [0.,0.,1.9,1.9,2.,2.,3.,3.]
# H1B, H2B = generalized_pairing_hamiltonian(eps, g, user_data)
E, f, Gamma = normal_order(H1B, H2B, user_data)
#print(E)
# reshape Hamiltonian into a linear array (initial ODE vector)
y0 = np.append([E], np.append(reshape(f, -1), reshape(Gamma, -1)))
t = 1
dy = derivative_wrapper(t, y0, user_data)
dE, df, dG = get_operator_from_y(dy, dim1B, dim1B*dim1B)
#print(dE)
# integrate flow equations
solver = ode(derivative_wrapper,jac=None)
solver.set_integrator('vode', method='bdf', order=5, nsteps=1000)
......@@ -974,10 +1089,19 @@ def main(n_holes, g=2):
"||eta||", "||fod||", "||Gammaod||"))
# print "-----------------------------------------------------------------------------------------------------------------"
print("-" * 148)
count = 0
eta_norm0 = 1.0e10
failed = False
dump_flow_data(0, 0.0, E, f, Gamma, user_data)
while solver.successful() and solver.t < sfinal:
ys = solver.integrate(sfinal, step=True)
if user_data["eta_norm"] > 1.25*eta_norm0:
failed=True
break
dim2B = dim1B*dim1B
E, f, Gamma = get_operator_from_y(ys, dim1B, dim2B)
......@@ -986,40 +1110,23 @@ def main(n_holes, g=2):
norm_fod = calc_fod_norm(f, user_data)
norm_Gammaod = calc_Gammaod_norm(Gamma, user_data)
s_val = solver.t
if count % 10 == 0:
print("%8.5f %14.8f %14.8f %14.8f %14.8f %14.8f %14.8f %14.8f %14.8f"%(
solver.t, E , DE2, DE3, E+DE2+DE3, user_data["dE"], user_data["eta_norm"], norm_fod, norm_Gammaod))
print(s_val)
dump_flow_data(count, s_val, E, f, Gamma, user_data)
count += 1
print("%8.5f %14.8f %14.8f %14.8f %14.8f %14.8f %14.8f %14.8f %14.8f"%(
solver.t, E , DE2, DE3, E+DE2+DE3, user_data["dE"], user_data["eta_norm"], norm_fod, norm_Gammaod))
if abs(DE2/E) < 10e-8: break
return E
eta_norm0 = user_data["eta_norm"]
# solver.integrate(solver.t + ds)
# write final result to compiled datafile
# datafile = open("./imsrg_state1_wa.final.dat", 'a')
# if failed == False:
# print >> datafile, "%+2.1f %+2.1f %f"%(delta,g,E)
# else:
# print >> datafile, "%+2.1f %+2.1f inf"%(delta,g)
# datafile.close()
#------------------------------------------------------------------------------
# make executable
#------------------------------------------------------------------------------
if __name__ == "__main__":
# for n in range(2,14,2):
# ti = time.time()
# main(n)
# tf = time.time()
# print('Total time: {:2.5f}'.format(tf-ti))
main(4)
import pytest
def test02ph_run(benchmark):
benchmark(lambda: main(2))
def test04ph_run(benchmark):
benchmark(lambda: main(4))
def test06ph_run(benchmark):
benchmark(lambda: main(6))
def test08ph_run(benchmark):
benchmark(lambda: main(8))
def test10ph_run(benchmark):
benchmark(lambda: main(10))
main()
benchmarking_wd/imsrg_pairing.py~ deleted 100644 → 0
View file @ b387ab5e
This diff is collapsed.
oop_imsrg/hamiltonian.py
View file @ 133f4d0f
......@@ -29,7 +29,6 @@ class PairingHamiltonian2B(Hamiltonian):
Keyword arguments:
ref -- the reference state. must match dimensions imposed by arugments (default: [1,1,1,1,0,0,0,0])
p -
d -- the energy level spacing (default: 1.0)
g -- the pairing strength (default: 0.5)
pb -- strength of the pair-breaking term (operates in double particle basis) (default: 0.0)"""
......@@ -196,9 +195,9 @@ class PairingHamiltonian2B(Hamiltonian):
if ps == qs or rs == ss:
return 0
if ps == rs and qs == ss:
return 1
if ps == ss and qs == rs:
return -1
if ps == ss and qs == rs:
return 1
return 0
......
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