PPVStatistic¶

class astrodendro.analysis.PPVStatistic(stat, metadata=None)¶

Compute properties of structures in a position-position-velocity (PPV) cube.

Parameters:

Attributes Summary

`area_exact`	The exact area of the structure on the sky.
`flux`	The integrated flux of the structure, in Jy (note that this does not include any kind of background subtraction, and is just a plain sum of the values in the structure, converted to Jy).
`position_angle`	The position angle of sky_maj, sky_min in degrees counter-clockwise from the +x axis (note that this is the +x axis in pixel coordinates, which is the `-x` axis for conventional astronomy images).
`v_cen`	The mean velocity of the structure (where the velocity axis can be specified by the `vaxis` metadata parameter, which defaults to 0 following the Numpy convention - the third axis in the FITS convention).
`v_rms`	Intensity-weighted second moment of velocity (where the velocity axis can be specified by the `vaxis` metadata parameter, which defaults to 0 following the Numpy convention - the third axis in the FITS convention).
`vaxis`	A descriptor to wrap around metadata dictionaries.
`velocity_scale`
`x_cen`	The mean position of the structure in the x direction.
`y_cen`	The mean position of the structure in the y direction.

Attributes Documentation

flux¶: The integrated flux of the structure, in Jy (note that this does not include any kind of background subtraction, and is just a plain sum of the values in the structure, converted to Jy).

position_angle¶: The position angle of sky_maj, sky_min in degrees counter-clockwise from the +x axis (note that this is the +x axis in pixel coordinates, which is the -x axis for conventional astronomy images).

v_cen¶: The mean velocity of the structure (where the velocity axis can be specified by the vaxis metadata parameter, which defaults to 0 following the Numpy convention - the third axis in the FITS convention).

v_rms¶: Intensity-weighted second moment of velocity (where the velocity axis can be specified by the vaxis metadata parameter, which defaults to 0 following the Numpy convention - the third axis in the FITS convention).

vaxis¶

A descriptor to wrap around metadata dictionaries.

Lets classes reference self.x instead of self.metadata[‘x’],