def make_planets(central_particle,
masses,
radii,
density=3 | units.g / units.cm**3,
phi=None,
theta=None,
eccentricity=0.0,
kepler=None,
rng=None):
volumes = masses / density
planet_radii = (3.0 * volumes / (4.0 * numpy.pi))**(1.0 / 3.0)
n = len(masses)
planet_particles = Particles(n)
planet_particles.semimajor_axis = radii
if eccentricity is None:
eccentricity = numpy.abs(rng.normal(-0.00001, 0.00001, n))
planet_particles.eccentricity = eccentricity
planet_particles.mass = masses
planet_particles.radius = planet_radii
if phi is None:
phi = numpy.radians(rng.uniform(0.0, 90.0, 1)[0]) #rotate under x
if theta is None:
theta0 = numpy.radians((rng.normal(-90.0, 90.0,
1)[0])) #rotate under y
theta0 = 0
theta_inclination = numpy.radians(rng.normal(0, 1.0, n))
theta_inclination[0] = 0
theta = theta0 + theta_inclination
#psi = numpy.radians(rng.uniform(0, 180, 1))[0] #0 # numpy.radians(90) # numpy.radians(rng.uniform(0, 180, 1))[0]
psi = numpy.radians(rng.uniform(0.0, 180.0, 1))[
0] #0 # numpy.radians(90) # numpy.radians(rng.uniform(0, 180, 1))[0]
com_particle = central_particle.copy()
for x, t in zip(iter(planet_particles), theta):
pos, vel = posvel_from_orbital_elements(com_particle.mass + x.mass,
x.semimajor_axis,
x.eccentricity, kepler, rng)
pos, vel = rotate(pos, vel, 0, 0, psi) # theta and phi in radians
pos, vel = rotate(pos, vel, 0, t, 0) # theta and phi in radians
pos, vel = rotate(pos, vel, phi, 0, 0) # theta and phi in radians
x.position = pos + com_particle.position
x.velocity = vel + com_particle.velocity
if False:
two_body = Particles(particles=[com_particle, x])
print "dp:", (com_particle.position -
two_body.center_of_mass()).as_quantity_in(units.AU)
com_particle.mass = two_body.mass.sum()
com_particle.position = two_body.center_of_mass()
com_particle.velocity = two_body.center_of_mass_velocity()
#planet_particles.position += central_particle.position
#planet_particles.velocity += central_particle.velocity
return planet_particles
def test5(self):
print("Testing SinkParticles accrete, one particle within two sinks' radii")
particles = Particles(10)
particles.radius = 42.0 | units.RSun
particles.mass = list(range(1,11)) | units.MSun
particles.position = [[i, 2*i, 3*i] for i in range(10)] | units.parsec
particles.velocity = [[i, 0, -i] for i in range(10)] | units.km/units.s
particles.age = list(range(10)) | units.Myr
copy = particles.copy()
sinks = SinkParticles(particles[[3, 7]], sink_radius=[4,12]|units.parsec,looping_over=self.looping_over)
self.assertEqual(sinks.sink_radius, [4.0, 12.0] | units.parsec)
self.assertEqual(sinks.mass, [4.0, 8.0] | units.MSun)
self.assertEqual(sinks.position, [[3, 6, 9], [7, 14, 21]] | units.parsec)
sinks.accrete(particles)
self.assertEqual(len(particles), 4) # 6 particles were accreted
self.assertEqual(sinks.mass, [12.0, 40.0] | units.MSun) # mass of sinks increased
self.assertEqual(sinks.get_intersecting_subset_in(particles).mass,
[12.0, 40.0] | units.MSun) # original particles' masses match
self.assertEqual(particles.total_mass(), copy.total_mass()) # total mass is conserved
self.assertEqual(particles.center_of_mass(), copy.center_of_mass()) # center of mass is conserved
self.assertEqual(particles.center_of_mass_velocity(), copy.center_of_mass_velocity()) # center of mass velocity is conserved
self.assertEqual(particles.total_momentum(), copy.total_momentum()) # momentum is conserved
self.assertEqual(particles.total_angular_momentum()+sinks.angular_momentum.sum(axis=0), copy.total_angular_momentum()) # angular_momentum is conserved
class comsystem(baseclass):
def __init__(self,*args,**kwargs):
self.particles_accessed=True
self._particles=Particles(0)
baseclass.__init__(self,*args,**kwargs)
def evolve_model(self,*args,**kwargs):
if self.particles_accessed:
self.com_position=self._particles.center_of_mass()
self.com_velocity=self._particles.center_of_mass_velocity()
com_time=self.model_time
self._particles.synchronize_to(self.overridden().particles)
self._particles.new_channel_to(self.overridden().particles).copy_attributes(["mass","radius"])
self.overridden().particles.position=self._particles.position-self.com_position
self.overridden().particles.velocity=self._particles.velocity-self.com_velocity
self.overridden().evolve_model(*args,**kwargs)
self.com_position+=self.com_velocity*(self.model_time-com_time)
self.particles_accessed=False
@property
def particles(self):
if not self.particles_accessed:
self._particles=self.overridden().particles.copy()
self._particles.position+=self.com_position
self._particles.velocity+=self.com_velocity
self.particles_accessed=True
return self._particles
class comsystem(baseclass):
def __init__(self, *args, **kwargs):
self.particles_accessed = True
self._particles = Particles(0)
baseclass.__init__(self, *args, **kwargs)
def evolve_model(self, *args, **kwargs):
if self.particles_accessed:
self.com_position = self._particles.center_of_mass()
self.com_velocity = self._particles.center_of_mass_velocity()
com_time = self.model_time
self._particles.synchronize_to(self.overridden().particles)
self._particles.new_channel_to(
self.overridden().particles).copy_attributes(
["mass", "radius"])
self.overridden(
).particles.position = self._particles.position - self.com_position
self.overridden(
).particles.velocity = self._particles.velocity - self.com_velocity
self.overridden().evolve_model(*args, **kwargs)
self.com_position += self.com_velocity * (self.model_time -
com_time)
self.particles_accessed = False
@property
def particles(self):
if not self.particles_accessed:
self._particles = self.overridden().particles.copy()
self._particles.position += self.com_position
self._particles.velocity += self.com_velocity
self.particles_accessed = True
return self._particles
def sink_particles(sinks,sources,Raccretion=0.1 | units.AU):
closest=numpy.array([-1]*len(sources))
mind2=(numpy.array([Raccretion.number]*len(sources)) | Raccretion.unit)**2
for i,s in enumerate(sinks):
xs,ys,zs=s.x,s.y,s.z
d2=(sources.x-xs)**2+(sources.y-ys)**2+(sources.z-zs)**2
select=numpy.where( d2<mind2 )[0]
mind2[select]=d2[select]
closest[select]=i
to_remove=Particles(0)
for i,s in enumerate(sinks):
insink=numpy.where(closest == i)[0]
if len(insink) > 0:
cm=s.position*s.mass
p=s.velocity*s.mass
insinkp=Particles(0)
for ip in insink:
insinkp.add_particle(sources[ip])
s.mass+=insinkp.total_mass()
s.position=(cm+insinkp.center_of_mass()*insinkp.total_mass())/s.mass
s.velocity=(p+insinkp.total_momentum())/s.mass
# we lose angular momentum !
to_remove.add_particles(insinkp)
print len(insinkp),"particles accrete on star", i
if len(to_remove)>0:
sources.remove_particles(to_remove)
def test5(self):
print "Testing SinkParticles accrete, one particle within two sinks' radii"
particles = Particles(10)
particles.radius = 42.0 | units.RSun
particles.mass = range(1,11) | units.MSun
particles.position = [[i, 2*i, 3*i] for i in range(10)] | units.parsec
particles.velocity = [[i, 0, -i] for i in range(10)] | units.km/units.s
particles.age = range(10) | units.Myr
copy = particles.copy()
sinks = SinkParticles(particles[[3, 7]], sink_radius=[4,12]|units.parsec,looping_over=self.looping_over)
self.assertEqual(sinks.sink_radius, [4.0, 12.0] | units.parsec)
self.assertEqual(sinks.mass, [4.0, 8.0] | units.MSun)
self.assertEqual(sinks.position, [[3, 6, 9], [7, 14, 21]] | units.parsec)
sinks.accrete(particles)
self.assertEqual(len(particles), 4) # 6 particles were accreted
self.assertEqual(sinks.mass, [12.0, 40.0] | units.MSun) # mass of sinks increased
self.assertEqual(sinks.get_intersecting_subset_in(particles).mass,
[12.0, 40.0] | units.MSun) # original particles' masses match
self.assertEqual(particles.total_mass(), copy.total_mass()) # total mass is conserved
self.assertEqual(particles.center_of_mass(), copy.center_of_mass()) # center of mass is conserved
self.assertEqual(particles.center_of_mass_velocity(), copy.center_of_mass_velocity()) # center of mass velocity is conserved
self.assertEqual(particles.total_momentum(), copy.total_momentum()) # momentum is conserved
self.assertEqual(particles.total_angular_momentum()+sinks.angular_momentum.sum(axis=0), copy.total_angular_momentum()) # angular_momentum is conserved
def test2(self):
particles = Particles(4)
particles.mass = [1, 2, 3, 6] | kg
particles.position = [[0, 0, 0], [3, 0, 0], [0, 4, 0], [3, 4, 0]] | m
self.assertEqual(particles.center_of_mass(), [2, 3, 0] | m)
pickled_particles = pickle.dumps(particles)
unpickled_particles = pickle.loads(pickled_particles)
self.assertAlmostRelativeEquals(unpickled_particles.mass, [1, 2, 3, 6] | kg)
self.assertEqual(unpickled_particles.center_of_mass(), [2, 3, 0] | m)
def test2(self):
particles = Particles(4)
particles.mass = [1, 2, 3, 6] | kg
particles.position = [[0, 0, 0], [3, 0, 0], [0, 4, 0], [3, 4, 0]] | m
self.assertEqual(particles.center_of_mass(), [2, 3, 0] | m)
pickled_particles = pickle.dumps(particles)
unpickled_particles = pickle.loads(pickled_particles)
self.assertAlmostRelativeEquals(unpickled_particles.mass, [1, 2, 3, 6] | kg)
self.assertEqual(unpickled_particles.center_of_mass(), [2, 3, 0] | m)
def make_planets(central_particle, masses, radii, density = 3 | units.g/units.cm**3, phi=None, theta=None, eccentricity = 0.0, kepler = None, rng = None):
volumes = masses / density
planet_radii = (3.0 * volumes / (4.0 * numpy.pi))**(1.0/3.0)
n = len(masses)
planet_particles = Particles(n)
planet_particles.semimajor_axis = radii
if eccentricity is None:
eccentricity = numpy.abs(rng.normal(-0.00001,0.00001,n))
planet_particles.eccentricity = eccentricity
planet_particles.mass = masses
planet_particles.radius = planet_radii
if phi is None:
phi = numpy.radians(rng.uniform(0.0, 90.0, 1)[0])#rotate under x
if theta is None:
theta0 = numpy.radians((rng.normal(-90.0,90.0,1)[0]))#rotate under y
theta0 = 0
theta_inclination = numpy.radians(rng.normal(0, 1.0, n ))
theta_inclination[0] = 0
theta = theta0 + theta_inclination
#psi = numpy.radians(rng.uniform(0, 180, 1))[0] #0 # numpy.radians(90) # numpy.radians(rng.uniform(0, 180, 1))[0]
psi = numpy.radians(rng.uniform(0.0, 180.0, 1))[0] #0 # numpy.radians(90) # numpy.radians(rng.uniform(0, 180, 1))[0]
com_particle = central_particle.copy()
for x, t in zip(iter(planet_particles), theta):
pos,vel = posvel_from_orbital_elements(com_particle.mass + x.mass, x.semimajor_axis, x.eccentricity, kepler, rng)
pos,vel = rotate(pos, vel, 0, 0, psi) # theta and phi in radians
pos,vel = rotate(pos, vel, 0, t, 0) # theta and phi in radians
pos,vel = rotate(pos, vel, phi, 0, 0) # theta and phi in radians
x.position = pos + com_particle.position
x.velocity = vel + com_particle.velocity
if False:
two_body = Particles(particles=[com_particle, x])
print "dp:", (com_particle.position - two_body.center_of_mass()).as_quantity_in(units.AU)
com_particle.mass = two_body.mass.sum()
com_particle.position = two_body.center_of_mass()
com_particle.velocity = two_body.center_of_mass_velocity()
#planet_particles.position += central_particle.position
#planet_particles.velocity += central_particle.velocity
return planet_particles
def merge_two_stars(primary, secondary):
"Merge two colliding stars into one new one"
colliders = Particles()
colliders.add_particle(primary)
colliders.add_particle(secondary)
new_particle = Particle()
new_particle.mass = colliders.mass.sum()
new_particle.position = colliders.center_of_mass()
new_particle.velocity = colliders.center_of_mass_velocity()
return new_particle
def result(self):
masses, positions, velocities, internal_energies = self.new_model()
result = Particles(self.actual_number_of_particles)
result.mass = nbody_system.mass.new_quantity(masses)
result.position = nbody_system.length.new_quantity(positions)
result.velocity = nbody_system.speed.new_quantity(velocities)
result.u = nbody_system.specific_energy.new_quantity(internal_energies)
result.position -= result.center_of_mass()
if self.do_scale:
scale_factor = (result.potential_energy(G=nbody_system.G)) / (-0.5 | nbody_system.energy)
result.position *= scale_factor
if not self.convert_nbody is None:
result = ParticlesWithUnitsConverted(result, self.convert_nbody.as_converter_from_si_to_generic())
result = result.copy()
return result
def result(self):
masses, positions, velocities, internal_energies = self.new_model()
result = Particles(self.actual_number_of_particles)
result.mass = nbody_system.mass.new_quantity(masses)
result.position = nbody_system.length.new_quantity(positions)
result.velocity = nbody_system.speed.new_quantity(velocities)
result.u = nbody_system.specific_energy.new_quantity(internal_energies)
result.position -= result.center_of_mass()
if self.do_scale:
scale_factor = (result.potential_energy(G=nbody_system.G)) / (-0.5 | nbody_system.energy)
result.position *= scale_factor
if not self.convert_nbody is None:
result = ParticlesWithUnitsConverted(result, self.convert_nbody.as_converter_from_si_to_generic())
result = result.copy()
return result
def main():
numpy.random.seed(42)
evo_headstart = 0.0 | units.Myr
dt_base = 0.001 | units.Myr
dt = dt_base
time = 0 | units.Myr
time_end = 8 | units.Myr
Tmin = 22 | units.K
gas_density = 5e3 | units.amu * units.cm**-3
increase_vol = 2
Ngas = increase_vol**3 * 10000
Mgas = increase_vol**3 * 1000 | units.MSun # Mgas = Ngas | units.MSun
volume = Mgas / gas_density # 4/3 * pi * r**3
radius = (volume / (pi * 4/3))**(1/3)
radius = increase_vol * radius # 15 | units.parsec
gasconverter = nbody_system.nbody_to_si(Mgas, radius)
# gasconverter = nbody_system.nbody_to_si(1 | units.pc, 1 | units.MSun)
# gasconverter = nbody_system.nbody_to_si(1e10 | units.cm, 1e10 | units.g)
# NOTE: make stars first - so that it remains the same random
# initialisation even when we change the number of gas particles
if len(sys.argv) > 1:
gas = read_set_from_file(sys.argv[1], "amuse")
stars = read_set_from_file(sys.argv[2], "amuse")
stars.position = stars.position * 3
else:
# stars = new_star_cluster(
# stellar_mass=1000 | units.MSun, effective_radius=3 | units.parsec
# )
# stars.velocity = stars.velocity * 2.0
from amuse.datamodel import Particles
Nstars = 100
stars = Particles(Nstars)
stars.position = [0, 0, 0] | units.pc
stars.velocity = [0, 0, 0] | units.kms
stars.mass = new_kroupa_mass_distribution(Nstars, mass_min=1 | units.MSun).reshape(Nstars)
# 25 | units.MSun
gas = molecular_cloud(targetN=Ngas, convert_nbody=gasconverter).result
# gas.velocity = gas.velocity * 0.5
gas.u = temperature_to_u(100 | units.K)
# gas.x = gas.x
# gas.y = gas.y
# gas.z = gas.z
# gas.h_smooth = (gas.mass / gas_density / (4/3) / pi)**(1/3)
# print(gas.h_smooth.mean())
# gas = read_set_from_file("gas_initial.hdf5", "amuse")
# gas.density = gas_density
# print(gas.h_smooth.mean())
# exit()
u_now = gas.u
#print(gasconverter.to_nbody(gas[0].u))
#print(constants.kB.value_in(units.erg * units.K**-1))
#print((constants.kB * 6.02215076e23).value_in(units.erg * units.K**-1))
#print(gasconverter.to_nbody(temperature_to_u(10 | units.K)))
#tempiso = 2.d0/3.d0*ui/(Rg/gmwvar/uergg)
# print(nbody_system.length**2 / nbody_system.time**2)
# print(gasconverter.to_si(1 | nbody_system.length**2 / nbody_system.time**2).value_in(units.kms**2))
# print(gasconverter.to_nbody(temperature_to_u(Tmin)))
# Rg = (constants.kB * 6.02214076e23).value_in(units.erg * units.K**-1)
# gmwvar = 1.2727272727
# uergg = nbody_system.length**2 * nbody_system.time**-2
# uergg = 6.6720409999999996E-8
# print(Rg)
# print(
# 2.0/3.0*gasconverter.to_nbody(temperature_to_u(Tmin))/(Rg/gmwvar/uergg)
# )
# #tempiso, ui, Rg, gmwvar, uergg, udist, utime 1.7552962911187030E-018 2.5778500859241771E-003 83140000.000000000 1.2727272727272725 6.6720409999999996E-008 1.0000000000000000 3871.4231866737564
# u = 3./2. * Tmin.value_in(units.K) * (Rg/gmwvar/uergg)
# print(u)
# print(
# 2.0/3.0*u/(Rg/gmwvar/uergg)
# )
# print(u, Rg, gmwvar, uergg)
# print(temperature_to_u(10 | units.K).value_in(units.kms**2))
u = temperature_to_u(20 | units.K)
#print(gasconverter.to_nbody(u))
#print(u_to_temperature(u).value_in(units.K))
# exit()
# gas.u = u | units.kms**2
# exit()
# print(gasconverter.to_nbody(gas.u.mean()))
# print(gasconverter.to_si(gas.u.mean()).value_in(units.kms**2))
# exit()
gas.du_dt = (u_now - u_now) / dt # zero, but in the correct units
# stars = read_set_from_file("stars.amuse", "amuse")
# write_set_to_file(stars, 'stars.amuse', 'amuse', append_to_file=False)
# stars.velocity *= 3
# stars.vx += 0 | units.kms
# stars.vy += 0 | units.kms
M = stars.total_mass() + Mgas
R = stars.position.lengths().mean()
converter = nbody_system.nbody_to_si(M, R)
# exit()
# gas = new_plummer_gas_model(Ngas, gasconverter)
# gas = molecular_cloud(targetN=Ngas, convert_nbody=gasconverter).result
# gas.u = temperature_to_u(Tmin)
# gas = read_set_from_file("gas.amuse", "amuse")
# print(stars.mass == stars.mass.max())
print(len(stars.mass))
print(len(stars.mass == stars.mass.max()))
print(stars[0])
print(stars[stars.mass == stars.mass.max()])
mms = stars[stars.mass == stars.mass.max()]
print("Most massive star: %s" % mms.mass)
print("Gas particle mass: %s" % gas[0].mass)
evo = SeBa()
# sph = Fi(converter, mode="openmp")
phantomconverter = nbody_system.nbody_to_si(
default_settings.gas_rscale,
default_settings.gas_mscale,
)
sph = Phantom(phantomconverter, redirection="none")
sph.parameters.ieos = 2
sph.parameters.icooling = 1
sph.parameters.alpha = 0.1
sph.parameters.gamma = 5/3
sph.parameters.rho_crit = 1e17 | units.amu * units.cm**-3
sph.parameters.h_soft_sinkgas = 0.1 | units.parsec
sph.parameters.h_soft_sinksink = 0.1 | units.parsec
sph.parameters.h_acc = 0.1 | units.parsec
# print(sph.parameters)
stars_in_evo = evo.particles.add_particles(stars)
channel_stars_evo_from_code = stars_in_evo.new_channel_to(
stars,
attributes=[
"age", "radius", "mass", "luminosity", "temperature",
"stellar_type",
],
)
channel_stars_evo_from_code.copy()
# try:
# sph.parameters.timestep = dt
# except:
# print("SPH code doesn't support setting the timestep")
sph.parameters.stopping_condition_maximum_density = \
5e-16 | units.g * units.cm**-3
# sph.parameters.beta = 1.
# sph.parameters.C_cour = sph.parameters.C_cour / 4
# sph.parameters.C_force = sph.parameters.C_force / 4
print(sph.parameters)
stars_in_sph = stars.copy() # sph.sink_particles.add_particles(stars)
# stars_in_sph = sph.sink_particles.add_particles(stars)
channel_stars_grav_to_code = stars.new_channel_to(
# sph.sink_particles,
# sph.dm_particles,
stars_in_sph,
attributes=["mass"]
)
channel_stars_grav_from_code = stars_in_sph.new_channel_to(
stars,
attributes=["x", "y", "z", "vx", "vy", "vz"],
)
# We don't want to accrete gas onto the stars/sinks
stars_in_sph.radius = 0 | units.RSun
# stars_in_sph = sph.dm_particles.add_particles(stars)
# try:
# sph.parameters.isothermal_flag = True
# sph.parameters.integrate_entropy_flag = False
# sph.parameters.gamma = 1
# except:
# print("SPH code doesn't support setting isothermal flag")
gas_in_code = sph.gas_particles.add_particles(gas)
# print(gasconverter.to_nbody(gas_in_code[0].u).value_in(nbody_system.specific_energy))
# ui = temperature_to_u(10 | units.K)
# Rg = constants.kB * 6.02214179e+23
# gmwvar = (1.4/1.1) | units.g
# uergg = 1.# | nbody_system.specific_energy
# print("gmwvar = %s"%gasconverter.to_si(gmwvar))
# print("Rg = %s"% gasconverter.to_si(Rg))
# print("ui = %s"% gasconverter.to_si(ui))
# #print("uergg = %s"% gasconverter.to_nbody(uergg))
# print("uergg = %s" % gasconverter.to_si(1 | nbody_system.specific_energy).in_(units.cm**2 * units.s**-2))
# print("****** %s" % ((2.0/3.0)*ui/(Rg/gmwvar/uergg)) + "*****")
# print(gasconverter.to_nbody(Rg))
# print((ui).in_(units.cm**2*units.s**-2))
# #exit()
# sph.evolve_model(1 | units.day)
# write_set_to_file(sph.gas_particles, "gas_initial.hdf5", "amuse")
# exit()
channel_gas_to_code = gas.new_channel_to(
gas_in_code,
attributes=[
"x", "y", "z", "vx", "vy", "vz", "u",
]
)
# mass is never updated, and if sph is in isothermal mode u is not reliable
channel_gas_from_code = gas_in_code.new_channel_to(
gas,
attributes=[
"x", "y", "z", "vx", "vy", "vz", "density", "pressure", "rho",
"u", "h_smooth",
],
)
channel_gas_from_code.copy() # Initialise values for density etc
sph_particle_mass = gas[0].mass # 0.1 | units.MSun
r_max = 0.1 | units.parsec
wind = stellar_wind.new_stellar_wind(
sph_particle_mass,
mode="heating",
r_max=r_max,
derive_from_evolution=True,
tag_gas_source=True,
# target_gas=gas,
# timestep=dt,
)
stars_in_wind = wind.particles.add_particles(stars)
channel_stars_wind_to_code = stars.new_channel_to(
stars_in_wind,
attributes=[
"x", "y", "z", "vx", "vy", "vz", "age", "radius", "mass",
"luminosity", "temperature", "stellar_type",
],
)
channel_stars_wind_to_code.copy()
# reference_mu = 2.2 | units.amu
gasvolume = (4./3.) * numpy.pi * (
gas.position - gas.center_of_mass()
).lengths().mean()**3
rho0 = gas.total_mass() / gasvolume
print(rho0.value_in(units.g * units.cm**-3))
# exit()
# cooling_flag = "thermal_model"
# cooling = Cooling(
cooling = SimplifiedThermalModelEvolver(
# gas_in_code,
gas,
Tmin=Tmin,
# T0=30 | units.K,
# n0=rho0/reference_mu
)
cooling.model_time = sph.model_time
# cooling_to_code = cooling.particles.new_channel_to(gas
start_mass = (
stars.mass.sum()
+ (gas.mass.sum() if not gas.is_empty() else 0 | units.MSun)
)
step = 0
plotnr = 0
com = stars_in_sph.center_of_mass()
plot_hydro_and_stars(
time,
sph,
stars=stars,
sinks=None,
L=20,
# N=100,
filename="phantom-coolthermalwindtestplot-%04i.png" % step,
title="time = %06.2f %s" % (time.value_in(units.Myr), units.Myr),
gasproperties=["density", "temperature"],
# colorbar=True,
starscale=1,
offset_x=com[0].value_in(units.parsec),
offset_y=com[1].value_in(units.parsec),
thickness=5 | units.parsec,
)
dt = dt_base
sph.parameters.time_step = dt
delta_t = phantomconverter.to_si(2**(-16) | nbody_system.time)
print("delta_t: %s" % delta_t.in_(units.day))
# small_step = True
small_step = False
plot_every = 100
subplot_factor = 10
subplot_enabled = False
subplot = 0
while time < time_end:
time += dt
print("Gas mean u: %s" % (gas.u.mean().in_(units.erg/units.MSun)))
print("Evolving to t=%s (%s)" % (time, gasconverter.to_nbody(time)))
step += 1
evo.evolve_model(evo_headstart+time)
print(evo.particles.stellar_type.max())
channel_stars_evo_from_code.copy()
channel_stars_grav_to_code.copy()
if COOLING:
channel_gas_from_code.copy()
cooling.evolve_for(dt/2)
channel_gas_to_code.copy()
print(
"min/max temp in gas: %s %s" % (
u_to_temperature(gas_in_code.u.min()).in_(units.K),
u_to_temperature(gas_in_code.u.max()).in_(units.K),
)
)
if small_step:
# Take small steps until a full timestep is done.
# Each substep is 2* as long as the last until dt is reached
print("Doing small steps")
# print(u_to_temperature(sph.gas_particles[0].u))
# print(sph.gas_particles[0].u)
old_dt = dt_base
substeps = 2**8
dt = old_dt / substeps
dt_done = 0 * old_dt
sph.parameters.time_step = dt
print("adjusted dt to %s, base dt is %s" % (
dt.in_(units.Myr),
dt_base.in_(units.Myr),
)
)
sph.evolve_model(sph.model_time + dt)
dt_done += dt
while dt_done < old_dt:
sph.parameters.time_step = dt
print("adjusted dt to %s, base dt is %s" % (
dt.in_(units.Myr),
dt_base.in_(units.Myr),
)
)
sph.evolve_model(sph.model_time + dt)
dt_done += dt
dt = min(2*dt, old_dt-dt_done)
dt = max(dt, old_dt/substeps)
dt = dt_base
sph.parameters.time_step = dt
print(
"adjusted dt to %s" % sph.parameters.time_step.in_(units.Myr)
)
small_step = False
print("Finished small steps")
# print(u_to_temperature(sph.gas_particles[0].u))
# print(sph.gas_particles[0].u)
# exit()
else:
sph.evolve_model(time)
channel_gas_from_code.copy()
channel_stars_grav_from_code.copy()
u_previous = u_now
u_now = gas.u
gas.du_dt = (u_now - u_previous) / dt
channel_stars_wind_to_code.copy()
wind.evolve_model(time)
# channel_stars_wind_from_code.copy()
if COOLING:
channel_gas_from_code.copy()
cooling.evolve_for(dt/2)
channel_gas_to_code.copy()
if wind.has_new_wind_particles():
subplot_enabled = True
wind_p = wind.create_wind_particles()
# nearest = gas.find_closest_particle_to(wind_p.x, wind_p.y, wind_p.z)
# wind_p.h_smooth = nearest.h_smooth
wind_p.h_smooth = 100 | units.au
print("u: %s / T: %s" % (wind_p.u.mean(), u_to_temperature(wind_p.u.mean())))
# max_e = (1e44 | units.erg) / wind_p[0].mass
# max_e = 10 * gas.u.mean()
# max_e = (1.e48 | units.erg) / wind_p[0].mass
# wind_p[wind_p.u > max_e].u = max_e
# wind_p[wind_p.u > max_e].h_smooth = 0.1 | units.parsec
# print(wind_p.position)
print(
"time: %s, wind energy: %s"
% (time, (wind_p.u * wind_p.mass).sum())
)
print(
"wind temperature: %s"
% (u_to_temperature(wind_p.u))
)
print(
"gas particles: %i (total mass %s)"
% (len(wind_p), wind_p.total_mass())
)
# for windje in wind_p:
# # print(windje)
# source = stars[stars.key == windje.source][0]
# windje.position += source.position
# windje.velocity += source.velocity
# # print(source)
# # print(windje)
# # exit()
gas.add_particles(wind_p)
gas_in_code.add_particles(wind_p)
# for wp in wind_p:
# print(wp)
print("Wind particles added")
if True: # wind_p.u.max() > gas_in_code.u.max():
print("Setting dt to very short")
small_step = True # dt = 0.1 | units.yr
h_min = gas.h_smooth.min()
# delta_t = determine_short_timestep(sph, wind_p, h_min=h_min)
# print("delta_t is set to %s" % delta_t.in_(units.yr))
# else:
# small_step = True
print(
"time: %s sph: %s dM: %s" % (
time.in_(units.Myr),
sph.model_time.in_(units.Myr),
(
stars.total_mass()
+ (
gas.total_mass()
if not gas.is_empty()
else (0 | units.MSun)
)
- start_mass
)
)
)
# com = sph.sink_particles.center_of_mass()
# com = sph.dm_particles.center_of_mass()
com = stars.center_of_mass()
print("STEP: %i step%%plot_every: %i" % (step, step % plot_every))
if step % plot_every == 0:
plotnr = plotnr + 1
plot_hydro_and_stars(
time,
sph,
# stars=sph.sink_particles,
# stars=sph.dm_particles,
stars=stars,
sinks=None,
L=20,
# N=100,
# image_size_scale=10,
filename="phantom-coolthermalwindtestplot-%04i.png" % plotnr, # int(step/plot_every),
title="time = %06.2f %s" % (time.value_in(units.Myr), units.Myr),
gasproperties=["density", "temperature"],
# colorbar=True,
starscale=1,
offset_x=com[0].value_in(units.parsec),
offset_y=com[1].value_in(units.parsec),
thickness=5 | units.parsec,
)
# write_set_to_file(gas, "gas.amuse", "amuse", append_to_file=False)
# write_set_to_file(stars, "stars.amuse", "amuse", append_to_file=False)
elif (
subplot_enabled
and ((step % (plot_every/subplot_factor)) == 0)
):
plotnr = plotnr + 1
subplot += 1
plot_hydro_and_stars(
time,
sph,
# stars=sph.sink_particles,
# stars=sph.dm_particles,
stars=stars,
sinks=None,
L=20,
# N=100,
# image_size_scale=10,
filename="phantom-coolthermalwindtestplot-%04i.png" % plotnr, # int(step/plot_every),
title="time = %06.2f %s" % (time.value_in(units.Myr), units.Myr),
gasproperties=["density", "temperature"],
# colorbar=True,
starscale=1,
offset_x=com[0].value_in(units.parsec),
offset_y=com[1].value_in(units.parsec),
thickness=5 | units.parsec,
)
if subplot % subplot_factor == 0:
subplot_enabled = False
print(
"Average temperature of gas: %s" % (
u_to_temperature(gas.u).mean().in_(units.K)
)
)
return
def main():
settings = ekster_settings.Settings()
o = new_argument_parser(settings)
gasfilename = o.gasfilename
starsfilename = o.starsfilename
sinksfilename = o.sinksfilename
imagefilename = o.imagefilename
bins = o.bins
offset_x = o.x | units.pc
offset_y = o.y | units.pc
offset_z = o.z | units.pc
w = o.w
x_axis = o.x_axis
y_axis = o.y_axis
settings.plot_starscale = o.starscale
settings.plot_width = w | units.pc
settings.plot_image_size_scale = (
settings.plot_image_size_scale *
(settings.plot_bins / bins)) or settings.plot_image_size_scale
stars = read_set_from_file(
starsfilename,
"amuse",
) if starsfilename != "" else Particles()
sinks = read_set_from_file(
sinksfilename,
"amuse",
) if sinksfilename != "" else Particles()
if gasfilename:
gas = read_set_from_file(
gasfilename,
"amuse",
)
if hasattr(gas, "itype"):
gas = gas[gas.itype == 1]
# gas.h_smooth = gas.h
default_temperature = 30 | units.K
if not hasattr(gas, "u"):
print("Setting temperature to %s" % default_temperature)
gas.u = temperature_to_u(default_temperature)
elif gas.u.unit is units.K:
temp = gas.u
del gas.u
gas.u = temperature_to_u(temp)
else:
gas = Particles()
mtot = gas.total_mass()
com = mtot * gas.center_of_mass()
if not sinks.is_empty():
mtot += sinks.total_mass()
com += sinks.total_mass() * sinks.center_of_mass()
if not stars.is_empty():
mtot += stars.total_mass()
com += stars.total_mass() * stars.center_of_mass()
com = com / mtot
if o.use_com:
offset_x = com[0]
offset_y = com[1]
offset_z = com[2]
print(com.value_in(units.parsec))
time = o.time | units.Myr
if not o.timestamp_off:
try:
time = gas.get_timestamp()
except AttributeError:
print('Unable to get timestamp, set time to 0 Myr.')
time = 0.0 | units.Myr
if time is None:
print('Time is None, set time to 0 Myr')
time = 0.0 | units.Myr
print(time.in_(units.Myr))
converter = nbody_system.nbody_to_si(
# 1 | units.pc, 1 | units.MSun,
settings.gas_rscale,
settings.gas_mscale,
)
gasproperties = ["density", "temperature"]
# gasproperties = ["density"]
for gasproperty in gasproperties:
settings.plot_width = o.w | units.pc
settings.plot_bins = o.bins
figure, ax = plot_hydro_and_stars(
time,
stars=stars,
sinks=sinks,
gas=gas,
filename=imagefilename + ".pdf",
offset_x=offset_x,
offset_y=offset_y,
offset_z=offset_z,
x_axis=x_axis,
y_axis=y_axis,
title="time = %06.2f %s" % (
time.value_in(units.Myr),
units.Myr,
),
gasproperties=[gasproperty],
# colorbar=True, # causes weird interpolation
# alpha_sfe=0.02,
# stars_are_sinks=False,
thickness=None,
length_unit=units.parsec,
return_figure=True,
settings=settings,
)
plot_cluster_locations = False
if plot_cluster_locations:
from find_clusters import find_clusters
clusters = find_clusters(
stars,
convert_nbody=converter,
)
for cluster in clusters:
cluster_com = cluster.center_of_mass()
cluster_x = cluster_com[0].value_in(units.parsec)
cluster_y = cluster_com[1].value_in(units.parsec)
lagrangian = cluster.LagrangianRadii(converter)
lr90 = lagrangian[0][-2]
s = lr90.value_in(units.parsec)
# print("Circle with x, y, z: ", x, y, s)
circle = pyplot.Circle(
(cluster_x, cluster_y),
s,
color='r',
fill=False,
)
ax.add_artist(circle)
pyplot.savefig(
gasproperty + "-" + imagefilename + ".png",
dpi=settings.plot_dpi,
)