Struct CountsFit 

pub struct CountsFit {

    pub densities: Vec<f64>,
    pub temperature_k: f64,
    pub normalization: f64,
    pub background: [f64; 3],
    pub covariance: Option<FlatMatrix>,
    pub on_bound: Vec<bool>,
    pub beam: BeamSpline,
    pub beam_at_limit: bool,
    pub deviance: f64,
    pub converged: bool,
    pub overdispersion: Option<f64>,
    pub step_us: f64,
    pub points: usize,
    pub halvings: usize,
}

The fitted densities, temperature, normalization and background.

Fields

densities: Vec<f64>

Areal density of each isotope in atoms/barn, in the order given: the known one, or the fitted one.

temperature_k: f64

The sample’s temperature in K: the known one, or the fitted one.

normalization: f64

The normalization a: the known one, or the fitted one.

background: [f64; 3]

b0 (dimensionless), b1 in √eV and b2 in 1/√eV, each the known or the fitted one.

covariance: Option<FlatMatrix>

Covariance of the fitted quantities among the densities, in the order given, the temperature, the normalization, b0, b1 and b2, in that order: the inverse of the expected information at the fit, scaled by overdispersion, or at the Poisson scale when that is None. The row and column of a quantity on one of its bounds, or that the counts do not determine, are NaN, and the other entries are conditional on every quantity that ended on a bound being held there; every entry is NaN when a fitted temperature ends at 1 K or 5000 K. None when the fit did not converge.

The error bars take the Calibration passed to fit_counts as exact. They are not reliable where the counts barely determine a fitted temperature or barely separate it from a density, as at few counts or for a thin sample at modest counts.

on_bound: Vec<bool>

Whether each fitted quantity, in the covariance’s order, ended on one of its bounds.

beam: BeamSpline

The beam per µs of flight time, fitted to both runs, with the intervals the open-beam fit chose.

beam_at_limit: bool

Whether the open-beam fit chose its richest beam; see OpenBeamFit::at_limit.

deviance: f64

Half the Poisson deviance of both runs at the fit.

converged: bool

Whether the fitter converged.

overdispersion: Option<f64>

Variance of the counts of both runs over their Poisson variance, at least 1, measured on the bins predicted at least one count. None when the fit did not converge or those bins do not outnumber the fitted parameters.

step_us: f64

Step, in µs, of the fit’s grid.

points: usize

Number of points of that grid.

halvings: usize

How many times the grid of FlightTimeGrid::new was halved to reach it.

Trait Implementations

impl Clone for CountsFit

fn clone(&self) -> CountsFit

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CountsFit

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.