gwinferno.distributions.powerlaw_logit_pdf

powerlaw_logit_pdf(xx, alpha, low=None, high=None, low_fall_off=4.0, high_fall_off=4.0)

powerlaw_logit_pdf pdf of high mass soft truncation powerlaw:

$$ p(x) propto x^{lpha}Theta(x-x_mathrm{min})Theta(x_mathrm{max}-x) $$

WARNING: this is not a normalized pdf!

Args:

xx (array_like): points to evaluate pdf at alpha (float): power law index low (float): low end truncation bound high (float): high end truncation bound fall_off (float): scale of logistic unit to truncate distribution

Returns:

array_like: pdf evaluated at xx