def timefractal(N=1000,
fd=1.6,
tend=0.25 | nbody_system.time,
inttype=Huayno.inttypes.HOLD_DKD,
seed=12345678):
stars = new_fractal_cluster_model(N=N,
fractal_dimension=fd,
random_seed=seed,
virial_ratio=0.5,
do_scale=True,
verbose=False)
code = Huayno()
code.parameters.inttype_parameter = inttype
code.parameters.timestep_parameter = 0.01
code.particles.add_particles(stars)
E0 = code.kinetic_energy + code.potential_energy
p0 = code.particles.total_momentum()
t1 = time()
code.evolve_model(tend)
t2 = time()
E = code.kinetic_energy + code.potential_energy
p = code.particles.total_momentum()
code.stop()
return t2 - t1, abs(E0 - E) / E0, p0 - p
def test15(self):
particles = plummer.new_plummer_model(512)
expected_positions = None
for mode in ["cpu", "openmp", "opencl"]:
try:
instance = Huayno(mode=mode,
number_of_workers=1) #, debugger="xterm")
except:
print("Running huayno with mode=", mode, " was unsuccessful.")
continue
else:
print("Running huayno with mode=", mode, "... ")
instance.initialize_code()
instance.parameters.epsilon_squared = 0.01 | nbody_system.length**2
instance.particles.add_particles(particles)
instance.evolve_model(0.2 | nbody_system.time)
instance.synchronize_model()
if expected_positions is None:
expected_positions = instance.particles.position
else:
self.assertAlmostRelativeEquals(expected_positions,
instance.particles.position, 8)
instance.stop()
def test3(self):
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun, 149.5e6 | units.km)
instance = Huayno(convert_nbody)
instance.initialize_code()
instance.parameters.epsilon_squared = 0.00001 | units.AU**2
stars = datamodel.Stars(2)
star1 = stars[0]
star2 = stars[1]
star1.mass = units.MSun(1.0)
star1.position = units.AU(numpy.array((-1.0,0.0,0.0)))
star1.velocity = units.AUd(numpy.array((0.0,0.0,0.0)))
star1.radius = units.RSun(1.0)
star2.mass = units.MSun(1.0)
star2.position = units.AU(numpy.array((1.0,0.0,0.0)))
star2.velocity = units.AUd(numpy.array((0.0,0.0,0.0)))
star2.radius = units.RSun(100.0)
instance.particles.add_particles(stars)
for x in range(1,2000,10):
instance.evolve_model(x | units.day)
instance.particles.copy_values_of_all_attributes_to(stars)
stars.savepoint()
def test3(self):
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun,
149.5e6 | units.km)
instance = Huayno(convert_nbody)
instance.initialize_code()
instance.parameters.epsilon_squared = 0.00001 | units.AU**2
stars = datamodel.Stars(2)
star1 = stars[0]
star2 = stars[1]
star1.mass = units.MSun(1.0)
star1.position = units.AU(numpy.array((-1.0, 0.0, 0.0)))
star1.velocity = units.AUd(numpy.array((0.0, 0.0, 0.0)))
star1.radius = units.RSun(1.0)
star2.mass = units.MSun(1.0)
star2.position = units.AU(numpy.array((1.0, 0.0, 0.0)))
star2.velocity = units.AUd(numpy.array((0.0, 0.0, 0.0)))
star2.radius = units.RSun(100.0)
instance.particles.add_particles(stars)
for x in range(1, 2000, 10):
instance.evolve_model(x | units.day)
instance.particles.copy_values_of_all_attributes_to(stars)
stars.savepoint()
def _run_collision_with_integrator(self, inttype_parameter):
particles = datamodel.Particles(7)
particles.mass = 0.001 | nbody_system.mass
particles.radius = 0.01 | nbody_system.length
particles.x = [-101.0, -100.0, -0.5, 0.5, 100.0, 101.0, 104.0
] | nbody_system.length
particles.y = 0 | nbody_system.length
particles.z = 0 | nbody_system.length
particles.velocity = [[2, 0, 0], [-2, 0, 0]
] * 3 + [[-4, 0, 0]] | nbody_system.speed
instance = Huayno()
instance.parameters.inttype_parameter = inttype_parameter
instance.particles.add_particles(particles)
collisions = instance.stopping_conditions.collision_detection
collisions.enable()
instance.evolve_model(1.0 | nbody_system.time)
self.assertTrue(collisions.is_set())
self.assertTrue(instance.model_time < 0.5 | nbody_system.time)
self.assertEqual(len(collisions.particles(0)), 3)
self.assertEqual(len(collisions.particles(1)), 3)
self.assertEqual(
len(particles - collisions.particles(0) - collisions.particles(1)),
1)
self.assertEqual(
abs(collisions.particles(0).x - collisions.particles(1).x) <=
(collisions.particles(0).radius + collisions.particles(1).radius),
[True, True, True])
sticky_merged = datamodel.Particles(len(collisions.particles(0)))
sticky_merged.mass = collisions.particles(
0).mass + collisions.particles(1).mass
sticky_merged.radius = collisions.particles(0).radius
for p1, p2, merged in zip(collisions.particles(0),
collisions.particles(1), sticky_merged):
merged.position = (p1 + p2).center_of_mass()
merged.velocity = (p1 + p2).center_of_mass_velocity()
instance.particles.remove_particles(
collisions.particles(0) + collisions.particles(1))
instance.particles.add_particles(sticky_merged)
instance.evolve_model(1.0 | nbody_system.time)
self.assertTrue(collisions.is_set())
self.assertTrue(instance.model_time < 1.0 | nbody_system.time)
self.assertEqual(len(collisions.particles(0)), 1)
self.assertEqual(len(collisions.particles(1)), 1)
self.assertEqual(
len(instance.particles - collisions.particles(0) -
collisions.particles(1)), 2)
self.assertEqual(
abs(collisions.particles(0).x - collisions.particles(1).x) <=
(collisions.particles(0).radius + collisions.particles(1).radius),
[True])
instance.stop()
def test13(self):
particles = plummer.new_plummer_model(31)
instance = Huayno(number_of_workers=1)#, debugger="xterm")
instance.initialize_code()
instance.parameters.epsilon_squared = 0.01 | nbody_system.length ** 2
instance.particles.add_particles(particles)
instance.evolve_model(0.1 | nbody_system.time)
instance.synchronize_model()
expected_positions = instance.particles.position
instance.stop()
def test14(self):
import hashlib
numpy.random.seed(123456)
particles = plummer.new_plummer_model(64)
sha = hashlib.sha1()
class inttypes(object):
SHARED2 = 1
EXTRAPOLATE = 5
PASS_KDK = 2
PASS_DKD = 7
HOLD_KDK = 3
HOLD_DKD = 8
PPASS_DKD = 9
BRIDGE_KDK = 4
BRIDGE_DKD = 10
CC = 11
CC_KEPLER = 12
OK = 13
KEPLER = 14
SHARED4 = 15
SHARED6 = 18
SHARED8 = 19
SHARED10 = 20
SHAREDBS = 21
@classmethod
def _list(cls):
return set(
[x for x in cls.__dict__.keys() if not x.startswith('_')])
for itype in sorted(inttypes._list()):
if itype in ("KEPLER"): continue
instance = Huayno()
instance.parameters.inttype_parameter = getattr(
Huayno.inttypes, itype)
instance.particles.add_particles(particles)
instance.evolve_model(0.125 | nbody_system.time)
part_out = instance.particles.copy()
position = part_out.position.number
if hasattr(position, 'tobytes'):
as_bytes = position.tobytes()
else:
as_bytes = numpy.array(position.data, copy=True, order='C')
sha.update(as_bytes)
instance.stop()
# this result is probably dependent on system architecture hence no good for assert
print
print sha.hexdigest()
print "8e71f9441578a43af4af927943577ad2c4130e4c"
def test13(self):
particles = plummer.new_plummer_model(31)
instance = Huayno(number_of_workers=1) #, debugger="xterm")
instance.initialize_code()
instance.parameters.epsilon_squared = 0.01 | nbody_system.length**2
instance.particles.add_particles(particles)
instance.evolve_model(0.1 | nbody_system.time)
instance.synchronize_model()
expected_positions = instance.particles.position
instance.stop()
def binary_with_planet_run(m1=1.|units.MSun, m2=1.| units.MSun, m_planet=1|units.MJupiter,
r1=None, r2=None, r_planet=None, ecc_binary=0, P_binary=20 | units.day,
ecc_planet=0., P_planet=1.| units.yr, pangle_planet=0., a_planet=None,
tend=100. | units.yr,hostname=''):
dEcrit=1.e-6
three=binary_with_planet(m1=m1,m2=m2,m_planet=m_planet,r1=r1,r2=r2,r_planet=r_planet,
ecc_binary=ecc_binary,P_binary=P_binary,
ecc_planet=ecc_planet,a_planet=a_planet,pangle_planet=pangle_planet)
convert=nbody_system.nbody_to_si(1|units.MSun,1|units.AU)
code=Huayno(convert,hostname=hostname)
code.parameters.inttype_parameter=code.inttypes.SHARED10
code.parameters.timestep_parameter=.2
code.parameters.timestep=100. | units.day
dt=10000. | units.day
code.particles.add_particles(three)
E0=code.potential_energy+code.kinetic_energy
a0,eps0,pangle0=elements( three.total_mass(),
code.particles.x[2],
code.particles.y[2],
code.particles.z[2],
code.particles.vx[2],
code.particles.vy[2],
code.particles.vz[2] )
t=0. | units.day
result="stable"
while(t < tend-dt/2):
t=t+dt
code.evolve_model(t)
E=code.potential_energy+code.kinetic_energy
dE=abs(((E-E0)/E0))
a,eps,pangle=elements( three.total_mass(),
code.particles.x[2],
code.particles.y[2],
code.particles.z[2],
code.particles.vx[2],
code.particles.vy[2],
code.particles.vz[2] )
if dE > dEcrit or a<0.5*a0 or a>2.*a0:
result="unstable"
if dE > dEcrit:
result="failed"
break
code.stop()
return result,t,dE,a.in_(units.AU),eps,pangle
def test14(self):
import hashlib
numpy.random.seed(123456)
particles = plummer.new_plummer_model(64)
sha=hashlib.sha1()
class inttypes(object):
SHARED2=1
EXTRAPOLATE=5
PASS_KDK=2
PASS_DKD=7
HOLD_KDK=3
HOLD_DKD=8
PPASS_DKD=9
BRIDGE_KDK=4
BRIDGE_DKD=10
CC=11
CC_KEPLER=12
OK=13
KEPLER=14
SHARED4=15
SHARED6=18
SHARED8=19
SHARED10=20
SHAREDBS=21
@classmethod
def _list(cls):
return set([x for x in cls.__dict__.keys() if not x.startswith('_')])
for itype in sorted(inttypes._list()):
if itype in ("KEPLER"): continue
instance = Huayno()
instance.parameters.inttype_parameter=getattr(Huayno.inttypes,itype)
instance.particles.add_particles(particles)
instance.evolve_model(0.125 | nbody_system.time)
part_out= instance.particles.copy()
position = part_out.position.number
if hasattr(position,'tobytes'):
as_bytes = position.tobytes()
else:
as_bytes = numpy.copy(position.data, order='C')
sha.update(as_bytes)
instance.stop()
# this result is probably dependent on system architecture hence no good for assert
print
print sha.hexdigest()
print "8e71f9441578a43af4af927943577ad2c4130e4c"
def _run_collision_with_integrator(self, inttype_parameter):
particles = datamodel.Particles(7)
particles.mass = 0.001 | nbody_system.mass
particles.radius = 0.01 | nbody_system.length
particles.x = [-101.0, -100.0, -0.5, 0.5, 100.0, 101.0, 104.0] | nbody_system.length
particles.y = 0 | nbody_system.length
particles.z = 0 | nbody_system.length
particles.velocity = [[2, 0, 0], [-2, 0, 0]]*3 + [[-4, 0, 0]] | nbody_system.speed
instance = Huayno()
instance.parameters.inttype_parameter = inttype_parameter
instance.particles.add_particles(particles)
collisions = instance.stopping_conditions.collision_detection
collisions.enable()
instance.evolve_model(1.0 | nbody_system.time)
self.assertTrue(collisions.is_set())
self.assertTrue(instance.model_time < 0.5 | nbody_system.time)
self.assertEquals(len(collisions.particles(0)), 3)
self.assertEquals(len(collisions.particles(1)), 3)
self.assertEquals(len(particles - collisions.particles(0) - collisions.particles(1)), 1)
self.assertEquals(abs(collisions.particles(0).x - collisions.particles(1).x) <=
(collisions.particles(0).radius + collisions.particles(1).radius),
[True, True, True])
sticky_merged = datamodel.Particles(len(collisions.particles(0)))
sticky_merged.mass = collisions.particles(0).mass + collisions.particles(1).mass
sticky_merged.radius = collisions.particles(0).radius
for p1, p2, merged in zip(collisions.particles(0), collisions.particles(1), sticky_merged):
merged.position = (p1 + p2).center_of_mass()
merged.velocity = (p1 + p2).center_of_mass_velocity()
print instance.model_time
print instance.particles
instance.particles.remove_particles(collisions.particles(0) + collisions.particles(1))
instance.particles.add_particles(sticky_merged)
instance.evolve_model(1.0 | nbody_system.time)
print
print instance.model_time
print instance.particles
self.assertTrue(collisions.is_set())
self.assertTrue(instance.model_time < 1.0 | nbody_system.time)
self.assertEquals(len(collisions.particles(0)), 1)
self.assertEquals(len(collisions.particles(1)), 1)
self.assertEquals(len(instance.particles - collisions.particles(0) - collisions.particles(1)), 2)
self.assertEquals(abs(collisions.particles(0).x - collisions.particles(1).x) <=
(collisions.particles(0).radius + collisions.particles(1).radius),
[True])
instance.stop()
def _compare_integrator_with_collision_integrator(self, inttype_parameter1, inttype_parameter2):
numpy.random.seed(12345)
particles = plummer.new_plummer_model(101)
instance = Huayno()
instance.parameters.inttype_parameter = inttype_parameter1
instance.particles.add_particles(particles)
instance.evolve_model(0.2 | nbody_system.time)
expected_position = instance.particles.position
expected_velocity = instance.particles.velocity
instance.reset()
instance.parameters.inttype_parameter = inttype_parameter2
instance.particles.add_particles(particles)
instance.evolve_model(0.2 | nbody_system.time)
self.assertAlmostRelativeEquals(expected_position, instance.particles.position, 8)
self.assertAlmostRelativeEquals(expected_velocity, instance.particles.velocity, 8)
instance.stop()
def _compare_integrator_with_collision_integrator(self, inttype_parameter1, inttype_parameter2):
numpy.random.seed(12345)
particles = plummer.new_plummer_model(101)
instance = Huayno()
instance.parameters.inttype_parameter = inttype_parameter1
instance.particles.add_particles(particles)
instance.evolve_model(0.2 | nbody_system.time)
expected_position = instance.particles.position
expected_velocity = instance.particles.velocity
instance.reset()
instance.parameters.inttype_parameter = inttype_parameter2
instance.particles.add_particles(particles)
instance.evolve_model(0.2 | nbody_system.time)
self.assertAlmostRelativeEquals(expected_position, instance.particles.position, 8)
self.assertAlmostRelativeEquals(expected_velocity, instance.particles.velocity, 8)
instance.stop()
def orbit_evolve(bodies, time_peri, eta, n_steps=100):
converter = nbody_system.nbody_to_si(1 | units.MSun, 1 | units.AU)
gravity = Huayno(converter, channel_type="sockets")
gravity.particles.add_particles(bodies)
gravity.commit_particles()
gravity.parameters.timestep_parameter = eta
channel_from_gravity_to_framework = gravity.particles.new_channel_to(
bodies)
Etot_init = gravity.kinetic_energy + gravity.potential_energy
Etot = Etot_init
file_snap = "orbit_ini.hdf5"
t_end = 2.0 * abs(time_peri.value_in(units.yr)) | units.yr
dt = t_end / float(n_steps)
time = 0.0 | units.yr
while time <= t_end:
gravity.evolve_model(time)
channel_from_gravity_to_framework.copy()
bodies.age = time
# checking energy conservation
Ekin = gravity.kinetic_energy
Epot = gravity.potential_energy
Etot = Ekin + Epot
dE = Etot_init - Etot
# output centerd on the bodies[0] star
bodies.position -= bodies[0].position
bodies.velocity -= bodies[0].velocity
write_set_to_file(bodies, file_snap, "hdf5")
rel_r = (bodies[1].position - bodies[0].position).lengths()
print " \t\t", time, "\t", dE / Etot_init, rel_r.in_(units.AU)
time += dt
gravity.stop()
bodies.position -= bodies[0].position
bodies.velocity -= bodies[0].velocity
print bodies
return
def test14c(self):
import hashlib
numpy.random.seed(123456)
particles = plummer.new_plummer_model(16)
particles.mass *= 0.25
p2 = plummer.new_plummer_model(16)
p2.mass *= 0.75
sha = hashlib.sha1()
test_set = [
"CONSTANT", "SHARED2", "EXTRAPOLATE", "PASS_KDK", "PASS_DKD",
"HOLD_KDK", "HOLD_DKD", "PPASS_DKD", "BRIDGE_KDK", "BRIDGE_DKD",
"CC", "CC_KEPLER", "CC_BS", "CC_BSA", "OK", "SHAREDBS", "SHARED4",
"SHARED6", "SHARED8", "SHARED10"
]
#~ test_set=["CC_BS"]
for itype in test_set:
#~ print()
#~ print(itype)
instance = Huayno(redirection="none")
instance.parameters.inttype_parameter = Huayno.all_inttypes[itype]
instance.parameters.accelerate_zero_mass = True
instance.particles.add_particles(particles)
instance.particles.add_particles(p2)
E1 = instance.kinetic_energy + instance.potential_energy
instance.evolve_model(0.125 | nbody_system.time)
E2 = instance.kinetic_energy + instance.potential_energy
#~ if itype!="CONSTANT":
#~ self.assertLess(abs(E2-E1).number, 1.e-5)
#~ print((E2-E1).number)
part_out = instance.particles.copy()
position = part_out.position.number
if hasattr(position, 'tobytes'):
as_bytes = position.tobytes()
else:
as_bytes = numpy.array(position.data, copy=True, order='C')
sha.update(as_bytes)
instance.stop()
# this result is probably dependent on system architecture hence no good for assert
print()
print(sha.hexdigest())
print("0af7eaea472989ea4be1bb0e2b8633d6b9af41e4")
def test24(self):
print("test massless particles/ kepler integrator")
N = 20
tend = 2. | units.yr
numpy.random.seed(12345)
conv = nbody_system.nbody_to_si(4. | units.MSun, 5. | units.AU)
orbiters = plummer.new_plummer_model(N, conv)
sun = datamodel.Particle(mass=1. | units.MSun)
sun.position = [12.3, 1., -.2] | units.AU
sun.velocity = [10, 50., -20.] | units.kms
orbiters.mass *= 0.
a0, eps0 = elements(sun.mass, orbiters.x, orbiters.y, orbiters.z,
orbiters.vx, orbiters.vy, orbiters.vz)
orbiters.position += sun.position
orbiters.velocity += sun.velocity
pos = dict()
for inttype in [20, 14]:
code = Huayno(conv)
code.parameters.inttype_parameter = inttype
code.parameters.timestep_parameter = 0.1
code.particles.add_particle(sun)
orbiters2 = code.particles.add_particles(orbiters).copy()
orbiters2.position -= sun.position
orbiters2.velocity -= sun.velocity
code.evolve_model(tend)
a, eps = elements(sun.mass, orbiters2.x, orbiters2.y, orbiters2.z,
orbiters2.vx, orbiters2.vy, orbiters2.vz)
da = abs((a - a0) / a0)
deps = abs(eps - eps0) / eps0
dev = numpy.where(da > 1.e-12)[0]
self.assertEqual(len(dev), 0)
dev = numpy.where(deps > 1.e-12)[0]
self.assertEqual(len(dev), 0)
pos[inttype] = [
orbiters2.x.value_in(units.AU),
orbiters2.y.value_in(units.AU),
orbiters2.z.value_in(units.AU)
]
self.assertAlmostEqual(pos[20][0], pos[14][0], 12)
self.assertAlmostEqual(pos[20][1], pos[14][1], 12)
self.assertAlmostEqual(pos[20][2], pos[14][2], 12)
def timerun(N=1000,f_bin=1.,tend=0.25| nbody_system.time,inttype=Huayno.inttypes.HOLD_DKD,seed=12345678,logamin=-4): stars = plummer_w_binaries(N=N,f_bin=f_bin,seed=seed,logamin=logamin) code=Huayno() code.parameters.inttype_parameter=inttype code.parameters.timestep_parameter=0.01 code.particles.add_particles(stars) E0=code.kinetic_energy+code.potential_energy p0=code.particles.total_momentum() t1=time() code.evolve_model(tend) t2=time() E=code.kinetic_energy+code.potential_energy p=code.particles.total_momentum() code.stop() return t2-t1,abs((E0-E)/E0),p0-p
def orbit_evolve(bodies, time_peri, eta, n_steps=100):
converter=nbody_system.nbody_to_si(1|units.MSun,1|units.AU)
gravity = Huayno(converter,channel_type="sockets")
gravity.particles.add_particles(bodies)
gravity.commit_particles()
gravity.parameters.timestep_parameter = eta
channel_from_gravity_to_framework = gravity.particles.new_channel_to(bodies)
Etot_init = gravity.kinetic_energy + gravity.potential_energy
Etot = Etot_init
file_snap = "orbit_ini.hdf5"
t_end = 2.0*abs(time_peri.value_in(units.yr)) | units.yr
dt = t_end / float(n_steps)
time = 0.0 | units.yr
while time <= t_end:
gravity.evolve_model(time)
channel_from_gravity_to_framework.copy()
bodies.age = time
# checking energy conservation
Ekin = gravity.kinetic_energy
Epot = gravity.potential_energy
Etot = Ekin + Epot
dE = Etot_init-Etot
# output centerd on the bodies[0] star
bodies.position -= bodies[0].position
bodies.velocity -= bodies[0].velocity
write_set_to_file(bodies, file_snap, "hdf5")
rel_r = (bodies[1].position - bodies[0].position).lengths()
print " \t\t", time, "\t", dE/Etot_init, rel_r.in_(units.AU)
time += dt
gravity.stop()
bodies.position -= bodies[0].position
bodies.velocity -= bodies[0].velocity
print bodies
return
def test14(self):
import hashlib
numpy.random.seed(123456)
particles = plummer.new_plummer_model(32)
sha = hashlib.sha1()
test_set = [
"CONSTANT", "SHARED2", "EXTRAPOLATE", "PASS_KDK", "PASS_DKD",
"HOLD_KDK", "HOLD_DKD", "PPASS_DKD", "BRIDGE_KDK", "BRIDGE_DKD",
"CC", "CC_KEPLER", "CC_BS", "CC_BSA", "OK", "SHAREDBS", "SHARED4",
"SHARED6", "SHARED8", "SHARED10"
]
#~ test_set=["CONSTANT"]
for itype in test_set:
#~ print()
#~ print(itype)
instance = Huayno()
instance.parameters.inttype_parameter = Huayno.all_inttypes[itype]
#~ instance.parameters.accelerate_zero_mass=False
instance.particles.add_particles(particles)
E1 = instance.kinetic_energy + instance.potential_energy
instance.evolve_model(0.125 | nbody_system.time)
E2 = instance.kinetic_energy + instance.potential_energy
if itype != "CONSTANT":
self.assertLess(abs(E2 - E1).number, 1.e-5)
#~ print((E2-E1).number)
part_out = instance.particles.copy()
position = part_out.position.number
if hasattr(position, 'tobytes'):
as_bytes = position.tobytes()
else:
as_bytes = numpy.array(position.data, copy=True, order='C')
sha.update(as_bytes)
instance.stop()
# this result is probably dependent on system architecture hence no good for assert
print()
print(sha.hexdigest())
print("4f2aac4d8761f3b07545dcea53f1a65f84a5275b")
def test29(self):
instance = Huayno()
instance.parameters.epsilon_squared = 0.0 | nbody_system.length**2
particles = datamodel.Particles(2)
particles.position = ([0,0,0], [1,0,0] )| nbody_system.length
particles.velocity = ([-1,0,0], [2,0,0] )| nbody_system.speed
particles.radius = 0| nbody_system.length
particles.mass = 0.1| nbody_system.mass
instance.particles.add_particles(particles)
instance.stopping_conditions.out_of_box_detection.enable()
instance.parameters.stopping_conditions_out_of_box_size = 2 | nbody_system.length
instance.parameters.stopping_conditions_out_of_box_use_center_of_mass = False
instance.evolve_model(1 | nbody_system.time)
self.assertTrue(instance.stopping_conditions.out_of_box_detection.is_set())
self.assertEqual(len(instance.stopping_conditions.out_of_box_detection.particles(0)), 1)
self.assertEqual(instance.stopping_conditions.out_of_box_detection.particles(0)[0].key, particles[1].key)
instance.stop()
def test29(self):
instance = Huayno()
instance.parameters.epsilon_squared = 0.0 | nbody_system.length**2
particles = datamodel.Particles(2)
particles.position = ([0,0,0], [1,0,0] )| nbody_system.length
particles.velocity = ([-1,0,0], [2,0,0] )| nbody_system.speed
particles.radius = 0| nbody_system.length
particles.mass = 0.1| nbody_system.mass
instance.particles.add_particles(particles)
instance.stopping_conditions.out_of_box_detection.enable()
instance.parameters.stopping_conditions_out_of_box_size = 2 | nbody_system.length
instance.parameters.stopping_conditions_out_of_box_use_center_of_mass = False
instance.evolve_model(1 | nbody_system.time)
self.assertTrue(instance.stopping_conditions.out_of_box_detection.is_set())
self.assertEquals(len(instance.stopping_conditions.out_of_box_detection.particles(0)), 1)
self.assertEquals(instance.stopping_conditions.out_of_box_detection.particles(0)[0].key, particles[1].key)
instance.stop()
def test7(self):
print("Test7: Testing effect of Huayno parameter epsilon_squared")
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun,
1.0 | units.AU)
particles = datamodel.Particles(2)
sun = particles[0]
sun.mass = 1.0 | units.MSun
sun.position = [0.0, 0.0, 0.0] | units.AU
sun.velocity = [0.0, 0.0, 0.0] | units.AU / units.yr
sun.radius = 1.0 | units.RSun
earth = particles[1]
earth.mass = 5.9736e24 | units.kg
earth.radius = 6371.0 | units.km
earth.position = [0.0, 1.0, 0.0] | units.AU
earth.velocity = [2.0 * numpy.pi, -0.0001, 0.0] | units.AU / units.yr
initial_direction = math.atan((earth.velocity[0] / earth.velocity[1]))
final_direction = []
for log_eps2 in range(-9, 10, 2):
instance = Huayno(convert_nbody)
instance.initialize_code()
instance.parameters.epsilon_squared = 10.0**log_eps2 | units.AU**2
instance.particles.add_particles(particles)
instance.commit_particles()
instance.evolve_model(0.25 | units.yr)
final_direction.append(
math.atan((instance.particles[1].velocity[0] /
instance.particles[1].velocity[1])))
instance.stop()
# Small values of epsilon_squared should result in normal earth-sun dynamics: rotation of 90 degrees
self.assertAlmostEqual(abs(final_direction[0]),
abs(initial_direction + math.pi / 2.0), 2)
# Large values of epsilon_squared should result in ~ no interaction
self.assertAlmostEqual(final_direction[-1], initial_direction, 2)
# Outcome is most sensitive to epsilon_squared when epsilon_squared = d(earth, sun)^2
delta = [
abs(final_direction[i + 1] - final_direction[i])
for i in range(len(final_direction) - 1)
]
self.assertEqual(delta[len(final_direction) // 2 - 1], max(delta))
def test24(self):
print "test massless particles/ kepler integrator"
N=20
tend=2.| units.yr
numpy.random.seed(12345)
conv=nbody_system.nbody_to_si(4.| units.MSun, 5.|units.AU)
orbiters=plummer.new_plummer_model(N,conv)
sun=datamodel.Particle(mass=1.|units.MSun)
sun.position=[12.3,1.,-.2]|units.AU
sun.velocity=[10,50.,-20.]|units.kms
orbiters.mass*=0.
a0,eps0=elements(sun.mass,orbiters.x,orbiters.y,orbiters.z,
orbiters.vx,orbiters.vy,orbiters.vz)
orbiters.position+=sun.position
orbiters.velocity+=sun.velocity
pos=dict()
for inttype in [20,14]:
code=Huayno(conv)
code.parameters.inttype_parameter=inttype
code.parameters.timestep_parameter=0.1
code.particles.add_particle(sun)
orbiters2=code.particles.add_particles(orbiters).copy()
orbiters2.position-=sun.position
orbiters2.velocity-=sun.velocity
code.evolve_model(tend)
a,eps=elements(sun.mass,orbiters2.x,orbiters2.y,orbiters2.z,
orbiters2.vx,orbiters2.vy,orbiters2.vz)
da=abs((a-a0)/a0)
deps=abs(eps-eps0)/eps0
dev=numpy.where(da > 1.e-12)[0]
self.assertEqual( len(dev),0)
dev=numpy.where(deps > 1.e-12)[0]
self.assertEqual( len(dev),0)
pos[inttype]=[orbiters2.x.value_in(units.AU),orbiters2.y.value_in(units.AU),orbiters2.z.value_in(units.AU)]
self.assertAlmostEqual(pos[20][0],pos[14][0],12)
self.assertAlmostEqual(pos[20][1],pos[14][1],12)
self.assertAlmostEqual(pos[20][2],pos[14][2],12)
def test25(self):
print("test massless particles/ kepler integrator, smoothed")
N = 10
tend = 20. | units.yr
numpy.random.seed(12345)
conv = nbody_system.nbody_to_si(4. | units.MSun, 5. | units.AU)
orbiters = plummer.new_plummer_model(N, conv)
sun = datamodel.Particle(mass=1. | units.MSun)
sun.position = [0, 0, 0] | units.AU
sun.velocity = [0, 0, 0] | units.kms
orbiters.mass *= 0.
eps = (5. | units.AU)
e0 = energy(sun.mass, eps, orbiters)
l0 = angular_momentum(orbiters)
pos = dict()
for inttype in [20, 14]:
code = Huayno(conv)
code.parameters.inttype_parameter = inttype
code.parameters.timestep_parameter = 0.1
code.parameters.epsilon_squared = eps**2
code.particles.add_particle(sun)
orbiters2 = code.particles.add_particles(orbiters)
code.evolve_model(tend)
e1 = energy(sun.mass, eps, orbiters2)
l1 = angular_momentum(orbiters2)
de, dl = abs((e1 - e0) / e0).max(), abs((l1 - l0) / l1).max()
self.assertTrue(numpy.all(de < 1.e-8))
self.assertTrue(numpy.all(dl < 1.e-8))
pos[inttype] = [
orbiters2.x.value_in(units.AU),
orbiters2.y.value_in(units.AU),
orbiters2.z.value_in(units.AU)
]
self.assertAlmostRelativeEqual(pos[20][0], pos[14][0],
4) # still not clear why 4
self.assertAlmostRelativeEqual(pos[20][1], pos[14][1], 4)
self.assertAlmostRelativeEqual(pos[20][2], pos[14][2], 4)
def test1(self):
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun, 149.5e6 | units.km)
huayno = Huayno(convert_nbody)
huayno.initialize_code()
huayno.parameters.epsilon_squared = 0.0 | units.AU**2
stars = self.new_system_of_sun_and_earth()
earth = stars[1]
huayno.particles.add_particles(stars)
huayno.evolve_model(365.0 | units.day)
huayno.particles.copy_values_of_all_attributes_to(stars)
position_at_start = earth.position.value_in(units.AU)[0]
position_after_full_rotation = earth.position.value_in(units.AU)[0]
self.assertAlmostEqual(position_at_start, position_after_full_rotation, 6)
huayno.evolve_model(365.0 + (365.0 / 2) | units.day)
huayno.particles.copy_values_of_all_attributes_to(stars)
position_after_half_a_rotation = earth.position.value_in(units.AU)[0]
self.assertAlmostEqual(-position_at_start, position_after_half_a_rotation, 2)
huayno.evolve_model(365.0 + (365.0 / 2) + (365.0 / 4) | units.day)
huayno.particles.copy_values_of_all_attributes_to(stars)
position_after_half_a_rotation = earth.position.value_in(units.AU)[1]
self.assertAlmostEqual(-position_at_start, position_after_half_a_rotation, 3)
huayno.cleanup_code()
huayno.stop()
def test22(self):
print(
"Testing zero-mass test particles in Huayno, can be used for removing particles when inside recursive evolve loop"
)
sun_and_earth = self.new_system_of_sun_and_earth()
period = (4.0 * math.pi**2 * (1.0 | units.AU)**3 /
(constants.G * sun_and_earth.total_mass())).sqrt()
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun,
1.0 | units.AU)
huayno = Huayno(convert_nbody)
huayno.parameters.epsilon_squared = 0.0 | units.AU**2
huayno.parameters.inttype_parameter = huayno.inttypes.SHARED8
test_particle = datamodel.Particle(mass=0 | units.MSun,
position=[4, 0, 0] | units.AU,
velocity=[0, 0, 0] | units.kms)
test_particle.vy = (constants.G * sun_and_earth.total_mass() /
(4.0 | units.AU)).sqrt()
sun_and_earth.add_particle(test_particle)
huayno.particles.add_particles(sun_and_earth)
huayno.evolve_model(period)
self.assertAlmostRelativeEqual(huayno.particles[:2].x,
sun_and_earth[:2].x, 13)
huayno.evolve_model(1.25 * period)
self.assertAlmostRelativeEqual(huayno.particles[1].y,
sun_and_earth[1].x, 13)
huayno.evolve_model(8.0 * period)
self.assertAlmostRelativeEqual(huayno.particles.x, sun_and_earth.x, 8)
huayno.stop()
def test1(self):
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun, 149.5e6 | units.km)
huayno = Huayno(convert_nbody)
huayno.initialize_code()
huayno.parameters.epsilon_squared = 0.0 | units.AU**2
stars = self.new_system_of_sun_and_earth()
earth = stars[1]
huayno.particles.add_particles(stars)
huayno.evolve_model(365.0 | units.day)
huayno.particles.copy_values_of_all_attributes_to(stars)
position_at_start = earth.position.value_in(units.AU)[0]
position_after_full_rotation = earth.position.value_in(units.AU)[0]
self.assertAlmostEqual(position_at_start, position_after_full_rotation, 6)
huayno.evolve_model(365.0 + (365.0 / 2) | units.day)
huayno.particles.copy_values_of_all_attributes_to(stars)
position_after_half_a_rotation = earth.position.value_in(units.AU)[0]
self.assertAlmostEqual(-position_at_start, position_after_half_a_rotation, 2)
huayno.evolve_model(365.0 + (365.0 / 2) + (365.0 / 4) | units.day)
huayno.particles.copy_values_of_all_attributes_to(stars)
position_after_half_a_rotation = earth.position.value_in(units.AU)[1]
self.assertAlmostEqual(-position_at_start, position_after_half_a_rotation, 3)
huayno.cleanup_code()
huayno.stop()
def test2(self):
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun,
149.5e6 | units.km)
instance = Huayno(convert_nbody)
instance.initialize_code()
instance.parameters.epsilon_squared = 0.0 | units.AU**2
stars = self.new_system_of_sun_and_earth()
earth = stars[1]
instance.particles.add_particles(stars)
for x in range(1, 2000, 10):
instance.evolve_model(x | units.day)
instance.particles.copy_values_of_all_attributes_to(stars)
stars.savepoint()
if HAS_MATPLOTLIB:
figure = pyplot.figure()
plot = figure.add_subplot(1, 1, 1)
x_points = earth.get_timeline_of_attribute("x")
y_points = earth.get_timeline_of_attribute("y")
x_points_in_AU = [t_x[1].value_in(units.AU) for t_x in x_points]
y_points_in_AU = [t_x1[1].value_in(units.AU) for t_x1 in y_points]
plot.scatter(x_points_in_AU, y_points_in_AU, color="b", marker='o')
plot.set_xlim(-1.5, 1.5)
plot.set_ylim(-1.5, 1.5)
test_results_path = self.get_path_to_results()
output_file = os.path.join(test_results_path,
"huayno-earth-sun2.svg")
figure.savefig(output_file)
instance.cleanup_code()
del instance
def test2(self):
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun, 149.5e6 | units.km)
instance = Huayno(convert_nbody)
instance.initialize_code()
instance.parameters.epsilon_squared = 0.0 | units.AU**2
stars = self.new_system_of_sun_and_earth()
earth = stars[1]
instance.particles.add_particles(stars)
for x in range(1,2000,10):
instance.evolve_model(x | units.day)
instance.particles.copy_values_of_all_attributes_to(stars)
stars.savepoint()
if HAS_MATPLOTLIB:
figure = pyplot.figure()
plot = figure.add_subplot(1,1,1)
x_points = earth.get_timeline_of_attribute("x")
y_points = earth.get_timeline_of_attribute("y")
x_points_in_AU = map(lambda (t,x) : x.value_in(units.AU), x_points)
y_points_in_AU = map(lambda (t,x) : x.value_in(units.AU), y_points)
plot.scatter(x_points_in_AU,y_points_in_AU, color = "b", marker = 'o')
plot.set_xlim(-1.5, 1.5)
plot.set_ylim(-1.5, 1.5)
test_results_path = self.get_path_to_results()
output_file = os.path.join(test_results_path, "huayno-earth-sun2.svg")
figure.savefig(output_file)
instance.cleanup_code()
del instance
def test15(self):
particles = plummer.new_plummer_model(512)
expected_positions = None
for mode in ["cpu", "openmp", "opencl"]:
try:
instance = Huayno(mode=mode, number_of_workers=1)#, debugger="xterm")
except:
print "Running huayno with mode=", mode, " was unsuccessful."
continue
else:
print "Running huayno with mode=", mode, "... "
instance.initialize_code()
instance.parameters.epsilon_squared = 0.01 | nbody_system.length ** 2
instance.particles.add_particles(particles)
instance.evolve_model(0.2 | nbody_system.time)
instance.synchronize_model()
if expected_positions is None:
expected_positions = instance.particles.position
else:
self.assertAlmostRelativeEquals(expected_positions, instance.particles.position, 8)
instance.stop()
def test27(self):
particles = plummer.new_plummer_model(31)
tend = 0.25 | nbody_system.time
instance = Huayno()
instance.particles.add_particles(particles)
instance.evolve_model(tend)
expected_positions = instance.particles.position
self.assertEqual(instance.model_time, tend)
instance.stop()
particles2 = particles.copy()
particles2.velocity *= -1
instance = Huayno()
instance.particles.add_particles(particles2)
instance.evolve_model(-tend)
positions = instance.particles.position
self.assertEqual(instance.model_time, -tend)
instance.stop()
self.assertAlmostEqual(positions, expected_positions)
def test27(self):
particles = plummer.new_plummer_model(31)
tend=0.25| nbody_system.time
instance = Huayno()
instance.particles.add_particles(particles)
instance.evolve_model(tend)
expected_positions = instance.particles.position
self.assertEqual(instance.model_time, tend)
instance.stop()
particles2=particles.copy()
particles2.velocity*=-1
instance = Huayno()
instance.particles.add_particles(particles2)
instance.evolve_model(-tend)
positions = instance.particles.position
self.assertEqual(instance.model_time, -tend)
instance.stop()
self.assertAlmostEqual(positions,expected_positions)
def test25(self):
print "test massless particles/ kepler integrator, smoothed"
N=10
tend=20.| units.yr
numpy.random.seed(12345)
conv=nbody_system.nbody_to_si(4.| units.MSun, 5.|units.AU)
orbiters=plummer.new_plummer_model(N,conv)
sun=datamodel.Particle(mass=1.|units.MSun)
sun.position=[0,0,0]|units.AU
sun.velocity=[0,0,0]|units.kms
orbiters.mass*=0.
eps=(5. | units.AU)
e0=energy(sun.mass,eps,orbiters)
l0=angular_momentum(orbiters)
pos=dict()
for inttype in [20,14]:
code=Huayno(conv)
code.parameters.inttype_parameter=inttype
code.parameters.timestep_parameter=0.1
code.parameters.epsilon_squared=eps**2
code.particles.add_particle(sun)
orbiters2=code.particles.add_particles(orbiters)
code.evolve_model(tend)
e1=energy(sun.mass,eps,orbiters2)
l1=angular_momentum(orbiters2)
de,dl=abs((e1-e0)/e0).max(),abs((l1-l0)/l1).max()
self.assertTrue( numpy.all(de< 1.e-8))
self.assertTrue( numpy.all(dl< 1.e-8))
pos[inttype]=[orbiters2.x.value_in(units.AU),orbiters2.y.value_in(units.AU),orbiters2.z.value_in(units.AU)]
self.assertAlmostRelativeEqual(pos[20][0],pos[14][0],4) # still not clear why 4
self.assertAlmostRelativeEqual(pos[20][1],pos[14][1],4)
self.assertAlmostRelativeEqual(pos[20][2],pos[14][2],4)
def test7(self):
print "Test7: Testing effect of Huayno parameter epsilon_squared"
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun, 1.0 | units.AU)
particles = datamodel.Particles(2)
sun = particles[0]
sun.mass = 1.0 | units.MSun
sun.position = [0.0, 0.0, 0.0] | units.AU
sun.velocity = [0.0, 0.0, 0.0] | units.AU / units.yr
sun.radius = 1.0 | units.RSun
earth = particles[1]
earth.mass = 5.9736e24 | units.kg
earth.radius = 6371.0 | units.km
earth.position = [0.0, 1.0, 0.0] | units.AU
earth.velocity = [2.0*numpy.pi, -0.0001, 0.0] | units.AU / units.yr
initial_direction = math.atan((earth.velocity[0]/earth.velocity[1]))
final_direction = []
for log_eps2 in range(-9,10,2):
instance = Huayno(convert_nbody)
instance.initialize_code()
instance.parameters.epsilon_squared = 10.0**log_eps2 | units.AU ** 2
instance.particles.add_particles(particles)
instance.commit_particles()
instance.evolve_model(0.25 | units.yr)
final_direction.append(math.atan((instance.particles[1].velocity[0]/
instance.particles[1].velocity[1])))
instance.stop()
# Small values of epsilon_squared should result in normal earth-sun dynamics: rotation of 90 degrees
self.assertAlmostEquals(abs(final_direction[0]), abs(initial_direction+math.pi/2.0), 2)
# Large values of epsilon_squared should result in ~ no interaction
self.assertAlmostEquals(final_direction[-1], initial_direction, 2)
# Outcome is most sensitive to epsilon_squared when epsilon_squared = d(earth, sun)^2
delta = [abs(final_direction[i+1]-final_direction[i]) for i in range(len(final_direction)-1)]
self.assertEquals(delta[len(final_direction)/2 -1], max(delta))
def test22(self):
print "Testing zero-mass test particles in Huayno, can be used for removing particles when inside recursive evolve loop"
sun_and_earth = self.new_system_of_sun_and_earth()
period = (4.0 * math.pi**2 * (1.0 | units.AU)**3 / (constants.G * sun_and_earth.total_mass())).sqrt()
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun, 1.0 | units.AU)
huayno = Huayno(convert_nbody)
huayno.parameters.epsilon_squared = 0.0 | units.AU**2
huayno.parameters.inttype_parameter = huayno.inttypes.SHARED8
test_particle = datamodel.Particle(mass=0|units.MSun, position=[4,0,0]|units.AU, velocity=[0,0,0]|units.kms)
test_particle.vy = (constants.G * sun_and_earth.total_mass() / (4.0 | units.AU)).sqrt()
sun_and_earth.add_particle(test_particle)
huayno.particles.add_particles(sun_and_earth)
huayno.evolve_model(period)
self.assertAlmostRelativeEqual(huayno.particles[:2].x, sun_and_earth[:2].x, 13)
huayno.evolve_model(1.25 * period)
self.assertAlmostRelativeEqual(huayno.particles[1].y, sun_and_earth[1].x, 13)
huayno.evolve_model(8.0 * period)
self.assertAlmostRelativeEqual(huayno.particles.x, sun_and_earth.x, 8)
huayno.stop()
def main_function(number_of_stars=1000,
end_time=4.0e4 | units.yr,
steps=100,
number_of_workers=6,
animate=True,
save_animation=False,
escape=False,
Q=0.5,
D=2.6,
filename="default.mp4",
use_huayno=False,
use_tree=False):
"""
Simulates a cluster of stars with varying masses.
Input:
:param number_of_stars: Number of stars to simulate, default: 1000
:param end_time: Total time at which to stop in nbody_system.time units (I think),
default 10 | nbody_system.time
:param steps: Total number of steps to save, default: 1000
:param number_of_workers: Number of cores/threads to use, does nothing when using Huayno, default: 5
:param animate: Makes an animation of the stars at each step (size depends on star mass), default: True
:param save_animation: Saves the animation as mp4 file, default: True
:param Q: Kinectic to potential energy fraction (I think) default: 0.5
:param D: Measure of fragmentedness, must be between 1.5 and 3, default 2.6
:param filename: Determines the name of the mp4 file, default: "default.mp4"
:param use_huayno: Use alternative Huayno gravity evolver, default: False
:return: (array of position arrays at each time step, array of time at each time step)
"""
start_time = clock_time()
particles = new_cluster(number_of_stars=number_of_stars, Q=Q, D=D)
total_mass = particles.mass.sum()
convert_nbody = nbody_system.nbody_to_si(total_mass, 1.0 | units.parsec)
# Initialize gravity can use others for tests, but hermite is used
if use_huayno:
gravity = Huayno(convert_nbody,
number_of_workers=number_of_workers / 2)
elif use_tree:
gravity = BHTree(convert_nbody,
number_of_workers=1,
epsilon_squared=0.05 | nbody_system.length**2)
else:
gravity = Hermite(convert_nbody,
number_of_workers=number_of_workers / 2)
gravity.parameters.epsilon_squared = 0.05 | nbody_system.length**2
# gravity.parameters.epsilon_squared = 0.15 | nbody_system.length ** 2 # Used to be this
gravity.particles.add_particles(particles)
from_gravity_to_model = gravity.particles.new_channel_to(particles)
# particles.scale_to_standard() Cannot scale to standard if not using nbody_system units
# Initialize the Evolution
if not use_tree:
stellar_evolution = SSE(number_of_workers=number_of_workers / 2)
else:
stellar_evolution = SSE(number_of_workers=number_of_workers - 1)
stellar_evolution.particles.add_particles(particles)
from_stellar_evolution_to_model = stellar_evolution.particles.new_channel_to(
particles)
from_stellar_evolution_to_model.copy_attributes(
["mass", "luminosity", "temperature"])
# Initial time (note * end_time for correct units)
time = 0.0 * end_time
# Save initial conditions and make arrays (lists) for each step
total_energy_at_t0 = gravity.kinetic_energy + gravity.potential_energy
save_positions = [particles.position]
save_velocities = [particles.velocity]
save_masses = [particles.mass]
save_luminosities = [particles.luminosity]
save_temperatures = [particles.temperature]
times = [time]
while time < end_time:
time += end_time / steps
# Evolve gravity
gravity.evolve_model(time)
from_gravity_to_model.copy()
# Evolve stars
stellar_evolution.evolve_model(time)
from_gravity_to_model.copy()
from_stellar_evolution_to_model.copy_attributes(
["mass", "luminosity", "temperature"])
# Save data
save_positions.append(particles.position)
save_velocities.append(particles.velocity)
save_masses.append(particles.mass)
save_luminosities.append(particles.luminosity)
save_temperatures.append(particles.temperature)
times.append(time)
total_energy = gravity.kinetic_energy + gravity.potential_energy
if np.abs(
(total_energy - total_energy_at_t0) / total_energy_at_t0) > 0.001:
print(
"Warning! Total energy of the system is changing too significantly!"
)
print "Time: %.4g" % time.number
total_mass = particles.mass.sum()
print total_mass
if escape:
escaped_stars_3d, escaped_stars_2d = find_escapees(particles)
gravity.stop()
stellar_evolution.stop()
print "It took %.3g seconds clock time" % (clock_time() - start_time)
if animate:
make_animation(save_positions,
save_luminosities,
save_temperatures,
times,
save_animation=save_animation,
filename=filename)
if escape:
return save_positions[-1], save_velocities[-1], save_masses[
-1], escaped_stars_3d, escaped_stars_2d
else:
return save_positions, save_velocities
def test_run():
three=binary_with_planet(
m1=0.6897 | units.MSun,m2=0.20255 | units.MSun,m_planet=0.333 | units.MJupiter,
r1=0.6489 | units.RSun,r2=0.22623 | units.RSun,r_planet=0.754 | units.RJupiter,
ecc_binary=0.15944,P_binary=41.08| units.day,ecc_planet=0.00685,a_planet=.7048 | units.AU,
pangle_planet=0.)
convert=nbody_system.nbody_to_si(1|units.MSun,1|units.AU)
code=Huayno(convert)
code.parameters.inttype_parameter=code.inttypes.SHARED4
code.parameters.timestep_parameter=0.1
# tend=100. | units.yr
tend=100. | units.day
snapfreq=1
dt=10. | units.day
# dt=convert.to_si( 1. | nbody_system.time).in_(units.day)
code.particles.add_particles(three)
x = AdaptingVectorQuantity()
y = AdaptingVectorQuantity()
z = AdaptingVectorQuantity()
vx = AdaptingVectorQuantity()
vy = AdaptingVectorQuantity()
vz = AdaptingVectorQuantity()
x.append(code.particles.x)
y.append(code.particles.y)
z.append(code.particles.z)
vx.append(code.particles.vx)
vy.append(code.particles.vy)
vz.append(code.particles.vz)
ts=[0.]
E0=code.potential_energy+code.kinetic_energy
dE=[1.e-14]
t=0. | units.day
i=0
while(t < tend-dt/2):
i+=1
t=t+dt
if i%snapfreq==0:
print t
ts.append(t.value_in(units.day))
code.evolve_model(t)
x.append(code.particles.x)
y.append(code.particles.y)
z.append(code.particles.z)
vx.append(code.particles.vx)
vy.append(code.particles.vy)
vz.append(code.particles.vz)
E=code.potential_energy+code.kinetic_energy
dE.append(abs(((E-E0)/E0)))
code.stop()
a,eps,pangle=elements(three.total_mass(),
x[:,2],
y[:,2],
z[:,2],
vx[:,2],
vy[:,2],
vz[:,2])
x=x.value_in(units.AU)
y=y.value_in(units.AU)
a=a.value_in(units.AU)
eps=eps
print a[-1],eps[-1],pangle[-1]
f=pyplot.figure(figsize=(8,8))
pyplot.plot(x[:,0],y[:,0],'r.')
pyplot.plot(x[:,1],y[:,1],'g.')
pyplot.plot(x[:,2],y[:,2],'b.')
pyplot.xlim(-3,3)
pyplot.ylim(-3,3)
pyplot.xlabel('AU')
pyplot.savefig('three_16b.eps')
f=pyplot.figure(figsize=(8,8))
pyplot.semilogy(ts,dE,'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('dE/E0')
pyplot.savefig('three_16b_eerr.eps')
f=pyplot.figure(figsize=(8,8))
pyplot.plot(ts,a,'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('a (AU)')
pyplot.savefig('three_16b_a.eps')
f=pyplot.figure(figsize=(8,8))
pyplot.plot(ts,eps,'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('eccentricity')
pyplot.savefig('three_16b_ecc.eps')
f=pyplot.figure(figsize=(8,8))
pyplot.plot(ts,pangle,'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('long. of periapsis')
pyplot.savefig('three_16b_pangle.eps')
def binary_with_planet_run(m1=1. | units.MSun,
m2=1. | units.MSun,
m_planet=1 | units.MJupiter,
r1=None,
r2=None,
r_planet=None,
ecc_binary=0,
P_binary=20 | units.day,
ecc_planet=0.,
P_planet=1. | units.yr,
pangle_planet=0.,
a_planet=None,
tend=100. | units.yr,
hostname=''):
dEcrit = 1.e-6
three = binary_with_planet(m1=m1,
m2=m2,
m_planet=m_planet,
r1=r1,
r2=r2,
r_planet=r_planet,
ecc_binary=ecc_binary,
P_binary=P_binary,
ecc_planet=ecc_planet,
a_planet=a_planet,
pangle_planet=pangle_planet)
convert = nbody_system.nbody_to_si(1 | units.MSun, 1 | units.AU)
code = Huayno(convert, hostname=hostname)
code.parameters.inttype_parameter = code.inttypes.SHARED10
code.parameters.timestep_parameter = .2
code.parameters.timestep = 100. | units.day
dt = 10000. | units.day
code.particles.add_particles(three)
E0 = code.potential_energy + code.kinetic_energy
a0, eps0, pangle0 = elements(three.total_mass(), code.particles.x[2],
code.particles.y[2], code.particles.z[2],
code.particles.vx[2], code.particles.vy[2],
code.particles.vz[2])
t = 0. | units.day
result = "stable"
while (t < tend - dt / 2):
t = t + dt
code.evolve_model(t)
E = code.potential_energy + code.kinetic_energy
dE = abs(((E - E0) / E0))
a, eps, pangle = elements(three.total_mass(), code.particles.x[2],
code.particles.y[2], code.particles.z[2],
code.particles.vx[2], code.particles.vy[2],
code.particles.vz[2])
if dE > dEcrit or a < 0.5 * a0 or a > 2. * a0:
result = "unstable"
if dE > dEcrit:
result = "failed"
break
code.stop()
return result, t, dE, a.in_(units.AU), eps, pangle
def test_run():
three = binary_with_planet(m1=0.6897 | units.MSun,
m2=0.20255 | units.MSun,
m_planet=0.333 | units.MJupiter,
r1=0.6489 | units.RSun,
r2=0.22623 | units.RSun,
r_planet=0.754 | units.RJupiter,
ecc_binary=0.15944,
P_binary=41.08 | units.day,
ecc_planet=0.00685,
a_planet=.7048 | units.AU,
pangle_planet=0.)
convert = nbody_system.nbody_to_si(1 | units.MSun, 1 | units.AU)
code = Huayno(convert)
code.parameters.inttype_parameter = code.inttypes.SHARED4
code.parameters.timestep_parameter = 0.1
# tend=100. | units.yr
tend = 100. | units.day
snapfreq = 1
dt = 10. | units.day
# dt=convert.to_si( 1. | nbody_system.time).in_(units.day)
code.particles.add_particles(three)
x = AdaptingVectorQuantity()
y = AdaptingVectorQuantity()
z = AdaptingVectorQuantity()
vx = AdaptingVectorQuantity()
vy = AdaptingVectorQuantity()
vz = AdaptingVectorQuantity()
x.append(code.particles.x)
y.append(code.particles.y)
z.append(code.particles.z)
vx.append(code.particles.vx)
vy.append(code.particles.vy)
vz.append(code.particles.vz)
ts = [0.]
E0 = code.potential_energy + code.kinetic_energy
dE = [1.e-14]
t = 0. | units.day
i = 0
while (t < tend - dt / 2):
i += 1
t = t + dt
if i % snapfreq == 0:
print t
ts.append(t.value_in(units.day))
code.evolve_model(t)
x.append(code.particles.x)
y.append(code.particles.y)
z.append(code.particles.z)
vx.append(code.particles.vx)
vy.append(code.particles.vy)
vz.append(code.particles.vz)
E = code.potential_energy + code.kinetic_energy
dE.append(abs(((E - E0) / E0)))
code.stop()
a, eps, pangle = elements(three.total_mass(), x[:, 2], y[:, 2], z[:, 2],
vx[:, 2], vy[:, 2], vz[:, 2])
x = x.value_in(units.AU)
y = y.value_in(units.AU)
a = a.value_in(units.AU)
eps = eps
print a[-1], eps[-1], pangle[-1]
f = pyplot.figure(figsize=(8, 8))
pyplot.plot(x[:, 0], y[:, 0], 'r.')
pyplot.plot(x[:, 1], y[:, 1], 'g.')
pyplot.plot(x[:, 2], y[:, 2], 'b.')
pyplot.xlim(-3, 3)
pyplot.ylim(-3, 3)
pyplot.xlabel('AU')
pyplot.savefig('three_16b.eps')
f = pyplot.figure(figsize=(8, 8))
pyplot.semilogy(ts, dE, 'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('dE/E0')
pyplot.savefig('three_16b_eerr.eps')
f = pyplot.figure(figsize=(8, 8))
pyplot.plot(ts, a, 'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('a (AU)')
pyplot.savefig('three_16b_a.eps')
f = pyplot.figure(figsize=(8, 8))
pyplot.plot(ts, eps, 'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('eccentricity')
pyplot.savefig('three_16b_ecc.eps')
f = pyplot.figure(figsize=(8, 8))
pyplot.plot(ts, pangle, 'g.')
pyplot.xlabel('time (day)')
pyplot.ylabel('long. of periapsis')
pyplot.savefig('three_16b_pangle.eps')