PyTelPoint API Documentation¶

This is the detailed API documentation for pytelpoint as generated from docstrings within the code.

Reference/API¶

`azel_fit`(coo_ref, coo_meas[, nsamp, ntune, ...])	Fit full az/el pointing model using PyMC.
`best_fit_pars`(idata)	Pull out the best fit parameters from a pointing model fit and return them as a dict.

`read_azel_datfile`(filename[, data_start, ...])	This reads in a processed MMTO pointing run data file that has four columns:
`read_raw_datfile`(filename[, obstime])	This reads the raw pointing data files as produced by the MMTO mount code.

`skyrms`(coo_ref, coo_meas)	Calculate sky RMS of the offsets between reference and measured coordinates in the same way as TPOINT(tm).
`psd`(coo_ref, coo_meas[, nterms])	Calculate the population standard deviation, PSD, the way TPOINT(tm) does.

azel_model(coo[, ia, ie, an, aw, ca, npae, ...])

Apply 8-term alt-az pointing model to set of raw alt-az coordinates and return corrected coordinates.

`pointing_histogram`(coo_ref, coo_meas[, ...])	Plot histogram of separations between reference coordinates, coo_ref, and measured coordinates, coo_meas.
`pointing_residuals`(coo_ref, coo_meas[, ...])	Plot of pointing residuals in az/el space
`pointing_sky`(coo_ref, coo_meas[, style])	Plot of pointing errors as a function of sky position
`pointing_azel_resid`(coo_ref, coo_meas[, style])	Plot of az/el pointing residuals as a function of az/el
`plot_corner`(idata[, quantiles, truths, ...])	Make corner plot from outputs of a pymc az/el fit
`plot_posterior`(idata)	Make posterior probability distributions plot from a pymc fit