Astrophysics (index)

Position-Position-Velocity Space

(PPV, P-P-V Space)
(3d space using velocity as one of the three dimensions)

Position-Position-Velocity Space (P-P-V Space or just PPV) is a conceptual space where two dimensions are the normal "space" dimensions and the third dimension is velocity. The concept applies to 3d sets of data (3d matrices, or Data Cubes) where across two dimensions, the data applies to the two physical dimensions across the sky, and the third dimension applies to the Radial Velocity component of the movement of material seen along that line-of-site. E.g., if along a line-of-site, there is some material moving at 1km/sec away from the viewer and apparently even more material moving 2km/sec toward the viewer, then in that column within the cube, there would be non-zero scalars in the cube's data two points for the amount moving at each of these radial velocities in that direction. There is a growing trend to store astronomical data, e.g., observations of clouds, in this format.

This is opposed to Position-Position-Position Space (P-P-P Space or PPP) which is valuable when it can be determined.

The motivation for PPV space is: it represents the data that can be observed, the two spatial dimensions (e.g., based on Astrometry) and the third, radial velocity dimension from Spectrography (or the equivalent Radio Astronomy observations). Naturally it would be nice to have six dimensions, but the other positional and velocity dimensions can only be determined through less-reliable analysis, and PPV represents a less-interpreted, more reliable format. The more straight-forward analysis required to produce it is identifying Doppler Shifted Spectral Lines, so as to detect the presence of gas moving at a given radial velocity.

PPV data is the natural result of an Imaging Spectrometer, or the equivalent radio-page observations. Position-Velocity Space (P-V Space) similarly describes data resulting from similar analysis of a slit Spectrograph, and Position-Position Space (P-P Space) represents just a normal image of the sky.


(data)
http://astrostatistics.psu.edu/su11scma5/lectures/Rosolowsky_scmav.pdf
https://arxiv.org/abs/1310.1929

Referenced by:
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