plot.profound: ProFound Diagnostic Grid
In ProFound: Photometry Tools

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

A useful visual grid of ProFound diagnostics. This is useful for checking if something very odd has occurred when running the code.

1 2	## S3 method for class 'profound' plot(x, logR50 = TRUE, dmag=0.5, hist='sky', ...)

`x`	Argument for the class dependent `plot.profound` function. An object of class profound as output by the `profoundProFound` function. This is the only structure that needs to be provided when executing plot(profound) class dependent plotting, which will use the plot.profound function.
`logR50`	Logical; specifies whether the bottom-centre panel uses a logarithmic y-axis for R50 (default is TRUE).
`dmag`	Numeric scaler; the magnitude binning scale to use (default 0.5 to reflect the axis binning). The magnitude histograms always use 0.5 magnitude bins, but this controls the y-axis scaling to give the correct normalisation as if the specified binning was used. I.e. the raw counts are scaled by an additional factor of 2 if dmag=1 is specified.
`hist`	Character scalar; specifies the plot type for the bottom-left plot. Options are 'sky' (which is a sky pixel (image-sky)/skyRMS PDF using the objects_redo mask) or 'iters' (histogram of required iterations). Old default was 'iters', but now 'sky', since this is more useful in general.
`...`	Nothing to see here.

Run for the side effect of generating a grid of useful diagnostic plots.

Run for the side effect of generating a grid of useful diagnostic plots:

`Top-left`	Sky subracted image x$image-x$sky, where blue is negative, yellow is 0, and red is positive
`Top-centre`	Output segmentation map x$segim
`Top-right`	Sky subracted and normalised image (x$image-x$sky)/x$skyRMS, with segment dilation extent shown in colour
`Middle-left`	Magnitude (x$segstats$mag) counts histogram (max in red), scaled to counts per square degree if x$header is present
`Middle-centre`	Output x$sky, where blue is negative, yellow is 0, and red is positive
`Middle-right`	Output x$skyRMS, where dark is lower values and white larger values
`Bottom-left`	Sky pixel (x$image-x$sky)/x$skyRMS PDF, or dilation iteration (x$segstats$iter) histogram (depends on hist)
`Bottom-centre`	Output mag (x$segstats$mag) versus R50 (x$segstats$R50)
`Bottom-right`	Output mag (x$segstats$mag) versus axrat (x$segstats$axrat)

Aaron Robotham

profoundProFound

## Not run: 
image=readFITS(system.file("extdata", 'VIKING/mystery_VIKING_Z.fits', package="ProFound"))

profound=profoundProFound(image, skycut=1.5, magzero=30, verbose=TRUE, plot=TRUE)

plot(profound)

## End(Not run)