Description Usage Arguments Details Value Note Author(s) References See Also
These functions determine the strength of the [OII] doublet across a VIMOS/IFU data cube by fitting a double Gaussian model to the lines. Depending on the signal-to-noise ratio of the individual spectra the template fit to the entire spectrum is subtracted before fitting [OII].
1 2 3 4 5 |
config.file |
name of list or file containing configuration data pertinent to the galaxy to be analysed |
cube.fit |
a |
spec.fit |
a |
galspec |
(optional) a list of galaxy spectra, all on the same
wavelength vector. This would be read in from a VIMOS cube with
|
galaxy |
a single galaxy spectrum on which the [OII] line strength is to be determined |
template |
(optional) an object of class |
plot |
(logical) If |
m1, m2, s1, s2, a.rel |
central wavelengths, dispersions and relative strength of the Gaussians describing the two components of the [OII] doublet model. |
model |
(optional) a model for the [OII] doublet as returned by
|
normalize |
normalization constant used to bring the spectral values to order unity |
lambda |
wavelength vector on which the [OII] model is built |
p |
starting value for the scaling of the model |
y, y.mod |
the data and model vectors used to compute the goodness of fit |
... |
parameters that are passed to |
The function OII.model.map
is the one typically used
directly. The other functions (with the possible exception of
OII.fit
) are used internally to compute the [OII] model, the
goodness-of-fit for a given model, and to optimize the fit.
OII.model.map
returns a data.frame
containing positions
L
and M
the signal-to-noise ratio of the spectrum,
SN
, and the strength of the [OII] lines, Flux
. This can
be visualized with plot.kinmap
OII.fit
returns the same values in the shape of a list and for
a single spectrum.
OII.model
returns a spectrum
, i.e. a list with
lambda
and value
.
OII.gof
returns a number, the sum of squared differences
between data and model.
THIS IS NOT QUITE FINISHED YET!
Oliver Czoske
The procedure follows an idea described by Bolton \& Burles (2008).
fit.cube
, build.model
,
plot.kinmap
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