pyseobnr.eob.dynamics.initial_conditions_aligned_ecc_opt.find_root_cons
- pyseobnr.eob.dynamics.initial_conditions_aligned_ecc_opt.find_root_cons(z: tuple[float, float] | list[float] | np.array, pr_star: float, dot_prstar: float, m_1: float, m_2: float, chi_1: float, chi_2: float, omega_inst: float, H: Hamiltonian, count: int = 0) tuple[float, float, bool, int] [source]
Finds the roots for the conservative equations. First, the function tries with the root-finding method ‘hybr’ with a ‘factor’ of 0.01 to avoid giving large steps in the root-finding procedure. If this is not successful, then tries the other available methods. This function is useful when the root-solver struggles to find a solution.
- Parameters:
z (tuple) – 2-uple containing the unknowns r and pphi
pr_star (float) – Radial momentum in tortoise coordinates
dot_prstar (float) – Time derivative of the radial momentum in tortoise coordinates
m_1 (float) – Mass of the primary
m_2 (float) – Mass of the secondary
chi_1 (float) – z-component of the dimensionless spin vector of the primary
chi_2 (float) – z-component of the dimensionless spin vector of the secondary
omega_inst (float) – Desired starting instantaneous orbital frequency, in geometric units
H (Hamiltonian) – The Hamiltonian to use (an instance of Hamiltonian class)
count (int) – Counter of attempts to find solutions for the initial conditions
- Returns:
- (r, pphi, successful_root, count). The initial conditions: (r, pphi),
whether there was a successful root (successful_root) and the number of attempts to find the solution (count)
- Return type:
tuple