pint.utils.dmxparse
- pint.utils.dmxparse(fitter, save=False)[source]
Run dmxparse in python using PINT objects and results.
Based off dmxparse by P. Demorest (https://github.com/nanograv/tempo/tree/master/util/dmxparse)
- Parameters:
- Returns:
dmxs
: mean-subtraced dmx valuesdmx_verrs
: dmx variance errorsdmxeps
: center mjds of the dmx binsr1s
: lower mjd bounds on the dmx binsr2s
: upper mjd bounds on the dmx binsbins
: dmx binsmean_dmx
: mean dmx valueavg_dm_err
: uncertainty in average dmx- Return type:
- Raises:
RuntimeError – If the model has no DMX parameters, or if there is a parsing problem