merit.contours: Create contour plot of goodness of kinematic fit
In oczoske/slacR: R-package to measure v and sigma from VIMOS IFU cubes

Description Usage Arguments Details Value Author(s) See Also Examples

This function visualizes the merit.function as a function of v and sigma around specified values p (in general the best-fit values).

1 2	merit.contours(galaxy, template, fit=TRUE, p, v.range, s.range, plot=TRUE, mask=TRUE,...)

`galaxy`	data.frame containing the galaxy spectrum
`template`	data.frame containing the template spectrum
`fit`	logical. If `TRUE` determine best-fit values automatically via `fit.spectrum`.
`p`	two-component vector containing the central `v` and `sigma` values. Only required if `v.range` and `s.range` are not given and `fit=FALSE`.
`v.range`	two-component vector giving range of velocity `v`. Defaults to 100 km/s around `p[1]`.
`s.range`	two-component vector givingrange of velocity dispersion `sigma`. Defaults to 100 km/s around `p[2]`
`plot`	logical specifying whether to plot contours or not
`mask`	mask that is to be applied to the spectrum. Can be in any format accepted by `convert.mask`. If `fit` is `TRUE`, then the updated mask from the fitting is used.
`...`	Further arguments to be passed to `fit.spectrum`

The function computes merit.function on a grid of 20x20 of velocity and velocity dispersion. The resulting matrix is either plotted as a contour plot or returned along with the velocity and velocity dispersion vectors.

`v`	Vector of velocity values
`sigma`	Vector of velocity dispersion values
`gof`	Matrix of values of `merit.function`

Oliver Czoske

merit.function, fit.spectrum

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## None for now.

oczoske/slacR documentation built on May 20, 2019, 8:23 p.m.