def run_molecular_cloud(N=100, Mcloud=100. | units.MSun, Rcloud=1. | units.parsec):
conv = nbody_system.nbody_to_si(Mcloud,Rcloud)
rho_cloud = 3.*Mcloud/(4.*numpy.pi*Rcloud**3)
print rho_cloud
tff = 0.5427/numpy.sqrt(constants.G*rho_cloud)
print "t_ff=", tff.value_in(units.Myr), 'Myr'
dt = 5.e-2 | units.Myr
tend=1.0 | units.Myr
# tend=2.0 | units.Myr
parts=molecular_cloud(targetN=N,convert_nbody=conv,
base_grid=body_centered_grid_unit_cube, seed=100).result
sph=Fi(conv, number_of_workers=3)
sph.parameters.use_hydro_flag=True
sph.parameters.radiation_flag=False
sph.parameters.gamma=1
sph.parameters.isothermal_flag=True
sph.parameters.integrate_entropy_flag=False
sph.parameters.timestep=dt
sph.parameters.verbosity = 0
sph.parameters.eps_is_h_flag = False# h_smooth is constant
eps = 0.1 | units.parsec
sph.parameters.gas_epsilon = eps
sph.parameters.sph_h_const = eps
parts.h_smooth= eps
print 'eps-h flag', sph.get_eps_is_h(), sph.get_consthsm()
expected_dt = 0.2*numpy.pi*numpy.power(eps, 1.5)/numpy.sqrt(constants.G*Mcloud/N)
print "dt_exp=", expected_dt.value_in(units.Myr)
print "dt=", dt
print "eps=", sph.parameters.gas_epsilon.in_(units.parsec)
sph.gas_particles.add_particles(parts)
#grav=copycat(Fi, sph, conv)
#sys=bridge(verbose=False)
#sys.add_system(sph,(grav,),False)
channel_from_sph_to_parts= sph.gas_particles.new_channel_to(parts)
channel_from_parts_to_sph= parts.new_channel_to(sph.gas_particles)
i=0
L=6
E0 = 0.0
ttarget = 0.0 | units.Myr
plot_hydro(ttarget, sph, i, L)
while ttarget < tend:
ttarget=float(i)*dt
print ttarget
sph.evolve_model(ttarget, timestep=dt)
E = sph.gas_particles.kinetic_energy()+sph.gas_particles.potential_energy() + sph.gas_particles.thermal_energy()
E_th = sph.gas_particles.thermal_energy()
if i==0:
E0 = E
Eerr = (E-E0)/E0
print 'energy=', E, 'energy_error=', Eerr, 'e_th=', E_th
channel_from_sph_to_parts.copy()
"""
filename = 'm400k_r10pc_e01_'+ str(i).zfill(2) + '.dat'
print filename
parts_sorted = parts.sorted_by_attribute('rho')
write_output(filename, parts_sorted, conv)
"""
plot_hydro(ttarget, sph, i, L)
i=i+1
plot_hydro_and_stars(ttarget, sph, L)
sph.stop()
return parts
def run_molecular_cloud(N=100,
Mcloud=100. | units.MSun,
Rcloud=1. | units.parsec):
conv = nbody_system.nbody_to_si(Mcloud, Rcloud)
rho_cloud = 3. * Mcloud / (4. * numpy.pi * Rcloud**3)
print rho_cloud
tff = 0.5427 / numpy.sqrt(constants.G * rho_cloud)
print "t_ff=", tff.value_in(units.Myr), 'Myr'
dt = 5.e-2 | units.Myr
tend = 1.0 | units.Myr
# tend=2.0 | units.Myr
parts = molecular_cloud(targetN=N,
convert_nbody=conv,
base_grid=body_centered_grid_unit_cube,
seed=100).result
sph = Fi(conv, number_of_workers=3)
sph.parameters.use_hydro_flag = True
sph.parameters.radiation_flag = False
sph.parameters.gamma = 1
sph.parameters.isothermal_flag = True
sph.parameters.integrate_entropy_flag = False
sph.parameters.timestep = dt
sph.parameters.verbosity = 0
sph.parameters.eps_is_h_flag = False # h_smooth is constant
eps = 0.1 | units.parsec
sph.parameters.gas_epsilon = eps
sph.parameters.sph_h_const = eps
parts.h_smooth = eps
print 'eps-h flag', sph.get_eps_is_h(), sph.get_consthsm()
expected_dt = 0.2 * numpy.pi * numpy.power(eps, 1.5) / numpy.sqrt(
constants.G * Mcloud / N)
print "dt_exp=", expected_dt.value_in(units.Myr)
print "dt=", dt
print "eps=", sph.parameters.gas_epsilon.in_(units.parsec)
sph.gas_particles.add_particles(parts)
#grav=copycat(Fi, sph, conv)
#sys=bridge(verbose=False)
#sys.add_system(sph,(grav,),False)
channel_from_sph_to_parts = sph.gas_particles.new_channel_to(parts)
channel_from_parts_to_sph = parts.new_channel_to(sph.gas_particles)
i = 0
L = 6
E0 = 0.0
ttarget = 0.0 | units.Myr
plot_hydro(ttarget, sph, i, L)
while ttarget < tend:
ttarget = float(i) * dt
print ttarget
sph.evolve_model(ttarget, timestep=dt)
E = sph.gas_particles.kinetic_energy(
) + sph.gas_particles.potential_energy(
) + sph.gas_particles.thermal_energy()
E_th = sph.gas_particles.thermal_energy()
if i == 0:
E0 = E
Eerr = (E - E0) / E0
print 'energy=', E, 'energy_error=', Eerr, 'e_th=', E_th
channel_from_sph_to_parts.copy()
"""
filename = 'm400k_r10pc_e01_'+ str(i).zfill(2) + '.dat'
print filename
parts_sorted = parts.sorted_by_attribute('rho')
write_output(filename, parts_sorted, conv)
"""
plot_hydro(ttarget, sph, i, L)
i = i + 1
plot_hydro_and_stars(ttarget, sph, L)
sph.stop()
return parts
