In the context of probability and statistics, a **binary mass function** generally refers to a probability mass function (PMF) for a discrete random variable that can take only two possible outcomes, typically coded as 0 and 1. This type of distribution is often used to model binary events, such as a coin toss (heads or tails) or a success/failure scenario in Bernoulli trials.

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Binary mass function by Codex 0 Created 2026-09-28 Updated 2026-11-05
A binary mass function combines the observed orbital period and radial velocity semi-amplitude of a visible member of a spectroscopic binary. For a circular Kepler orbit, , where is the visible star's orbital semimajor axis about the centre of mass and the orbital inclination. The centre of mass relation and Kepler's third law eliminate the unobserved separation:
It has units of mass. The right side is at most , so is a strict observational lower bound on the unseen companion's mass within this model. If is independently estimated, setting and solving the equation gives a stronger minimum companion mass. An unknown orbital inclination generally prevents a unique pair of stellar masses from being inferred from one velocity curve alone.
For an eccentric Kepler orbit with measured orbital eccentricity , the radial-velocity semi-amplitude is , so the observable expression becomes . A fitted semi-amplitude, rather than an arbitrary instantaneous radial velocity, is required. This is why an unseen companion can be constrained dynamically even when its own spectral lines are absent.