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MSc1-Internship-Stellar-Clu…/COSMIC/COSMIC_v3_init.py
2024-06-21 16:19:00 +02:00

199 lines
7.8 KiB
Python

"""
* COSMIC - INIT
* Version 3
@ Yaël Moussouni
@ Unistra, P&E, MSc1-MoFP
@ Observatory of Strasbourg (Intern)
"""
import numpy as np
import amuse.units.units as u
import COSMIC_v3_galaxy as galaxy
import COSMIC_v3_coordinates as coords
from amuse.units import nbody_system
from amuse.ic.kingmodel import new_king_model
from amuse.ic.salpeter import new_salpeter_mass_distribution
# from amuse.community.huayno.interface import Huayno # FIXME DOES NOT WORK
from amuse.community.ph4.interface import Ph4
from amuse.community.seba.interface import SeBa
from amuse.couple.bridge import Bridge
from amuse.datamodel.particles import Channels
from amuse.datamodel import Particles
# def IMF_Besancon(M, alpha_1=1.6, alpha_2=3.0):
# return (M.value_in(u.MSun))**(alpha_1-1) * ((M.value_in(u.MSun))<1) + (((M.value_in(u.MSun))-1)**(alpha_2-1) + 1) * ((M.value_in(u.MSun))>=1)
# def Besancon_disk(params):
# """
# Generate two IMF of stars and binaries
# """
# M_1 = []
# M_2 = []
# N_min = 0
# N_max = IMF_Besancon(params["M_max_besancon"], params["a_besancon_1"], params["a_besancon_2"])
# while len(M_1) < params["N_stars"]:
# X = np.random.uniform(params["M_min_besancon"].value_in(u.MSun), params["M_max_besancon"].value_in(u.MSun))|u.MSun
# Y = np.random.uniform(N_min, N_max)
# if Y > IMF_Besancon(X, params["a_besancon_1"], params["a_besancon_2"]):
# M_1.append(X)
# while len(M_2) < params["N_stars"] * params["binary_fraction"]:
# X = np.random.uniform(params["M_min_besancon"].value_in(u.MSun), params["M_max_besancon"].value_in(u.MSun))|u.MSun
# Y = np.random.uniform(N_min, N_max)
# if Y > IMF_Besancon(X, params["a_besancon_1"], params["a_besancon_2"]):
# M_2.append(X)
# return M_1, M_2
def orbital_parameters(params, m_tot):
x_0 = params["mean_period"] * np.log(2)
sigma_0 = params["std_period"] * np.log(2)
T = np.random.lognormal(mean = x_0, sigma = sigma_0)
a = (T**2 * u.constants.G.value_in(u.au**3*u.day**(-2)*u.MSun**(-1)) * m_tot.value_in(u.MSun) / (4*np.pi**2) )**(1/3) | u.au
e = 1
return a, e
def king_salpeter(params):
"""
Create a cluster of N stars, with a King's law of parameter W0, with a (virial) radius R, stellar masses following a Salpeter law ranging between M_min and M_max with exponent a_salpeter.
"""
M_stars = new_salpeter_mass_distribution(params["N_stars"], mass_min=params["M_min_salpeter"], mass_max=params["M_max_salpeter"], alpha=params["a_salpeter"])
converter = nbody_system.nbody_to_si(M_stars.sum(), params["R0_king"])
stars = new_king_model(params["N_stars"], params["W0_king"], converter)
stars.mass = M_stars
stars.zams_mass = M_stars
return stars, converter
def king_salpeter_binaries(params):
"""
"""
M_primary = new_salpeter_mass_distribution(params["N_stars"], mass_min=params["M_min_salpeter"], mass_max=params["M_max_salpeter"], alpha=params["a_salpeter"])
M_secondary = new_salpeter_mass_distribution(np.int32(np.round(params["N_stars"]*params["binary_fraction"])), mass_min=params["M_min_salpeter"], mass_max=params["M_max_salpeter"], alpha=params["a_salpeter"])
M_stars = np.concatenate([M_primary, M_secondary])
N_binaries = len(M_secondary)
converter = nbody_system.nbody_to_si(M_stars.sum(), params["R0_king"])
stars_primary = new_king_model(params["N_stars"], params["W0_king"], converter)
stars_primary.mass = M_primary
stars_primary.zams_mass = M_primary
stars_secondary = Particles(N_binaries)
for i in range(N_binaries):
stars_secondary[i].mass = M_secondary[i]
stars_secondary[i].radius = 0|u.m
stars_secondary[i].vx = stars_primary[i].vx
stars_secondary[i].vy = stars_primary[i].vy
stars_secondary[i].vz = stars_primary[i].vz
stars_secondary[i].x = stars_primary[i].x
stars_secondary[i].y = stars_primary[i].y
stars_secondary[i].z = stars_primary[i].z
stars_secondary[i].zams_mass = M_secondary[i]
stars = Particles()
binaries = Particles(N_binaries)
stars.add_particles(stars_primary)
stars.add_particles(stars_secondary)
stars.ra = 0 | u.deg
stars.dec = 0 | u.deg
stars.dist = 0 | u.pc
stars.X_v = 0 | u.km * u.s**(-1)
stars.X_vsini = 0 | u.km * u.s**(-1)
stars.X_temperature_0 = 0 | u.kilo(u.eV)
stars.X_temperature_1 = 0 | u.kilo(u.eV)
stars.X_luminosity = 0 | u.erg * u.s**(-1)
if N_binaries == 0:
binaries.child1 = [0]
binaries.child2 = [0]
binaries.mass1 = 0
binaries.mass2 = 0
binaries.mass_tot = 0
else:
binaries.child1 = list(stars_primary[:N_binaries])
binaries.child2 = list(stars_secondary)
binaries.mass1 = list(stars_primary[:N_binaries].mass)
binaries.mass2 = list(stars_secondary.mass.in_(u.kg))
binaries.mass_tot = binaries.mass1 + binaries.mass2
for i in range(N_binaries):
semi_major_axis, eccentricity = orbital_parameters(params, binaries[i].mass_tot)
binaries[i].semi_major_axis = semi_major_axis
binaries[i].eccentricity = eccentricity
stars.move_to_center()
return stars, binaries, converter
def gravity_stellar_bridge(converter, params):
gravity = Ph4(converter, number_of_workers=params["workers_gravity"]) # TODO A CHANGER SI BESOIN
stellar = SeBa(number_of_worker=params["workers_stellar"])
bridge = Bridge()
codes = {"g":gravity, "s":stellar, "b":bridge}
return codes
def create_channels():
channels = Channels()
return channels
def generate_galaxy(stars, params):
galaxy_model = galaxy.MilkyWay_AMUSE()
stars.x += params["cluster_position_x"]
stars.y += params["cluster_position_y"]
stars.z += params["cluster_position_z"]
vc = galaxy_model.vel_circ(stars.center_of_mass().length()).in_(u.km * u.s**(-1))
phi = np.arctan2(stars.center_of_mass().y.value_in(u.pc), stars.center_of_mass().x.value_in(u.pc))
stars.vx += - vc * np.sin(phi)
stars.vy += vc * np.cos(phi)
stars = coords.xyz2radecdist(stars)
return stars, galaxy_model
def add_stars(codes, stars):
codes["g"].particles.add_particles(stars)
codes["s"].particles.add_particles(stars)
return codes
def add_binaries(codes, stars, binaries, channels):
codes["s"].binaries.add_particles(binaries)
channels.add_channel(codes["s"].binaries.new_channel_to(stars))
return codes, channels
def commit(codes, stars, channels, params):
codes["s"].set_metallicity(params["metallicity_stellar"])
codes["s"].commit_particles()
codes["g"].commit_particles()
# codes["g"].initialize_code() # NOT REQUIRED WITH Ph4
codes["b"].add_system(codes["g"])
codes["b"].add_system(codes["s"])
codes["b"].synchronize_model()
codes["b"].timestep = params["timestep"]
codes["b"].channels.add_channel(codes["s"].particles.new_channel_to(codes["g"].particles, attributes=["mass", "radius"]))
channels.add_channel(codes["s"].particles.new_channel_to(stars))
channels.add_channel(codes["g"].particles.new_channel_to(stars))
return codes, channels
def commit_with_potential(codes, stars, channels, galaxy_model, params):
codes["s"].set_metallicity(params["metallicity_stellar"])
codes["s"].commit_particles()
codes["g"].commit_particles()
# codes["g"].initialize_code() # NOT REQUIRED WITH Ph4
codes["b"].add_system(codes["g"], (galaxy_model,))
codes["b"].add_system(codes["s"])
codes["b"].synchronize_model()
codes["b"].timestep = params["timestep"]
codes["b"].channels.add_channel(codes["s"].particles.new_channel_to(codes["g"].particles, attributes=["mass", "radius"]))
channels.add_channel(codes["s"].particles.new_channel_to(stars))
channels.add_channel(codes["g"].particles.new_channel_to(stars))
return codes, channels