Source code for fastar.imf.named_imf.kroupa

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# pylint: disable=duplicate-code
# *** Duplicate code will be addressed in future IMF refactoring ***

"""
Kroupa 2001 (https://arxiv.org/abs/astro-ph/0009005)
"""

import jax.numpy as jnp
import jax.scipy.integrate as jsp_integrate


[docs] def kroupa_imf_raw(mass, m_min=0.1, m_max=100.0): """ Returns the normalized Kroupa IMF evaluated at `mass`, using three power-law segments with continuity, fully JAX-compatible. Parameters ---------- mass : array-like Stellar mass or array of masses. m_min : float, optional Lower mass limit. Default is 0.1. m_max : float, optional Upper mass limit. Default is 100.0. Returns ------- jnp.ndarray or float Normalized IMF values. """ mass = jnp.atleast_1d(mass) m_1 = 0.08 m_2 = 0.5 a_1 = 0.3 a_2 = 1.3 a_3 = 2.3 upper_a_1 = 1.0 upper_a_2 = upper_a_1 * m_1 ** (a_2 - a_1) upper_a_3 = upper_a_2 * m_2 ** (a_3 - a_2) def imf_unnormalized(mass_value): return jnp.where( mass_value < m_1, upper_a_1 * mass_value ** (-a_1), jnp.where( mass_value < m_2, upper_a_2 * mass_value ** (-a_2), upper_a_3 * mass_value ** (-a_3), ), ) m_vals = jnp.linspace(m_min, m_max, 5000) norm = jsp_integrate.trapezoid(imf_unnormalized(m_vals) * m_vals, x=m_vals) imf_vals = imf_unnormalized(mass) / norm imf_vals = jnp.where((mass >= m_min) & (mass <= m_max), imf_vals, 0.0) return imf_vals if imf_vals.shape[0] > 1 else imf_vals[0]
[docs] def kroupa(mass, params): """ Wrapper for the Kroupa IMF using a parameter dictionary. Parameters ---------- mass : array-like Stellar mass or array of masses. params : dict Dictionary of parameters to pass to `kroupa_imf_raw`. Returns ------- jnp.ndarray or float Normalized IMF values. """ return kroupa_imf_raw(mass, **params)