ROA 1.6

A simple function to compute the running optimal average and effective no. of parameters.

Running-Optimal-Average

Usage:

t, model, errs, P = RunningOptimalAverage(t_data, Flux, Flux_err, delta)

Calculate running optimal average on a fine grid. Also returns errors and effective number of parameters.

Import using:

from ROA import RunningOptimalAverage

Parameters

t_data : float array : Time values of data points

Flux : float array : Flux data values

Flux_err : float array : Errors for flux data points

delta : float : Window width of Gaussian memory function - controls how flexible model is

Returns

t : float array : Time values of grid used to calculate ROA

model : float array : Running optimal average's calculated for each time t

errs : float array : Errors of running optimal average

P : float : Effective number of parameters for model