Version 1 (modified by rick, 19 years ago) (diff) |
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Data Organization
The data organization describes the physical meaning of the independent variable(s) with respect to which the observables are measured. This is useful for knowing whether and how different data sets can be directly compared, overlaid, mapped, or otherwise transformed.
Data_Layout
type: menu
FITS keyword: DATA_ORG
The following values are recognized:
image
data organized by two dimensions corresponding to angular displacement along the axes; examples include photograms (digital or digitized photographs), spectroheliograms, magnetograms, and Dopplergrams
map
data organized by two dimensions corresponding to spatial displacement along the axes; examples include synoptic charts
time_series
data organized by one dimension corresponding to temporal displacement along the axis; note that this is not the same as a time-tagged set of data records, since it implies sampling uniformity and provision for data gaps
movie
data organized by three dimensions corresponding to spatial or angular displacement along two axes and temporal displacement along the principal (most slowly varying) axis
spectrum
data organized by one dimension corresponding to displacement in electromagnetic wavelength or frequency along the axis
mode_spectrum
data organized by one or more dimensions corresponding to the quantum numbers of oscillations
spectral_temporal
data organized by two dimension corresponding to displacement in wavelength or frequency along one axis and temporal diplacement along the other
spatial_spectral
data organized by two dimensions corresponding to spatial or angular image axes and one corresponding to electromagnetic spectral displacement