Source code for master_thesis_code.datamodels.parameter_space

from collections.abc import Callable
from dataclasses import dataclass, field

import numpy as np

from master_thesis_code.galaxy_catalogue.handler import HostGalaxy
from master_thesis_code.physical_relations import dist


[docs] def uniform(lower_limit: float, upper_limit: float, rng: np.random.Generator) -> float: return float(rng.uniform(lower_limit, upper_limit))
[docs] def log_uniform(lower_limit: float, upper_limit: float, rng: np.random.Generator) -> float: lower_limit = np.log10(lower_limit) upper_limit = np.log10(upper_limit) uniform_log = uniform(lower_limit, upper_limit, rng) return float(10**uniform_log)
[docs] def polar_angle_distribution( lower_limit: float, upper_limit: float, rng: np.random.Generator ) -> float: return float(np.arccos(rng.uniform(-1.0, 1.0)))
[docs] @dataclass class Parameter: """Main class for parameters.""" symbol: str unit: str lower_limit: float upper_limit: float value: float = 0.0 derivative_epsilon: float = 1e-6 is_fixed: bool = False randomize_by_distribution: Callable[[float, float, np.random.Generator], float] = uniform
[docs] @dataclass class ParameterSpace: """ Dataclass to manage the parameter space of a simulation. """ M: Parameter = field( default_factory=lambda: Parameter( symbol="M", unit="solar masses", lower_limit=1e4, upper_limit=1e7, randomize_by_distribution=log_uniform, ) ) # mass of the MBH (massive black hole) in solar masses mu: Parameter = field( default_factory=lambda: Parameter( symbol="mu", unit="solar masses", lower_limit=1, upper_limit=1e2 ) ) # mass of the CO (compact object) in solar masses a: Parameter = field( default_factory=lambda: Parameter( symbol="a", unit="dimensionless", lower_limit=0.0, upper_limit=1 ) ) # dimensionless spin of the MBH p0: Parameter = field( default_factory=lambda: Parameter( symbol="p0", unit="meters", lower_limit=10.0, upper_limit=16.0 ) ) # Kepler-orbit parameter: separation e0: Parameter = field( default_factory=lambda: Parameter( symbol="e0", unit="dimensionless", lower_limit=0.05, upper_limit=0.7 ) ) # Kepler-orbit parameter: eccentricity x0: Parameter = field( default_factory=lambda: Parameter( symbol="x0", unit="dimensionless", lower_limit=-1.0, upper_limit=1.0 ) ) # Kepler-orbit parameter: x_I0=cosI (I is the inclination) luminosity_distance: Parameter = field( default_factory=lambda: Parameter( symbol="luminosity_distance", unit="Gpc", lower_limit=0.0, upper_limit=7 ) ) # luminosity distance qS: Parameter = field( default_factory=lambda: Parameter( symbol="qS", unit="radian", lower_limit=0.0, upper_limit=np.pi, randomize_by_distribution=polar_angle_distribution, ) ) # Sky location polar angle in ecliptic coordinates. phiS: Parameter = field( default_factory=lambda: Parameter( symbol="phiS", unit="radian", lower_limit=0.0, upper_limit=2 * np.pi ) ) # Sky location azimuthal angle in ecliptic coordinates. qK: Parameter = field( default_factory=lambda: Parameter( symbol="qK", unit="radian", lower_limit=0.0, upper_limit=np.pi, randomize_by_distribution=polar_angle_distribution, ) ) # Initial BH spin polar angle in ecliptic coordinates. phiK: Parameter = field( default_factory=lambda: Parameter( symbol="phiK", unit="radian", lower_limit=0.0, upper_limit=2 * np.pi ) ) # Initial BH spin azimuthal angle in ecliptic coordinates. Phi_phi0: Parameter = field( default_factory=lambda: Parameter( symbol="Phi_phi0", unit="radian", lower_limit=0.0, upper_limit=2 * np.pi ) ) # initial azimuthal phase Phi_theta0: Parameter = field( default_factory=lambda: Parameter( symbol="Phi_theta0", unit="radian", lower_limit=0.0, upper_limit=2 * np.pi ) ) # initial polar phase Phi_r0: Parameter = field( default_factory=lambda: Parameter( symbol="Phi_r0", unit="radian", lower_limit=0.0, upper_limit=2 * np.pi ) ) # initial radial phase
[docs] def randomize_parameter(self, parameter: Parameter, rng: np.random.Generator) -> None: parameter.value = parameter.randomize_by_distribution( parameter.lower_limit, parameter.upper_limit, rng ) setattr(self, parameter.symbol, parameter)
[docs] def randomize_parameters(self, rng: np.random.Generator | None = None) -> None: if rng is None: rng = np.random.default_rng() for parameter in vars(self).values(): if isinstance(parameter, Parameter) and not parameter.is_fixed: self.randomize_parameter(parameter=parameter, rng=rng)
[docs] def set_host_galaxy_parameters(self, host_galaxy: HostGalaxy) -> None: self.M.value = host_galaxy.M self.phiS.value = host_galaxy.phiS self.qS.value = host_galaxy.qS self.luminosity_distance.value = dist(host_galaxy.z)
def _parameters_to_dict(self) -> dict: return { "M": self.M.value, "mu": self.mu.value, "a": self.a.value, "p0": self.p0.value, "e0": self.e0.value, "x0": self.x0.value, "luminosity_distance": self.luminosity_distance.value, "qS": self.qS.value, "phiS": self.phiS.value, "qK": self.qK.value, "phiK": self.phiK.value, "Phi_phi0": self.Phi_phi0.value, "Phi_theta0": self.Phi_theta0.value, "Phi_r0": self.Phi_r0.value, }