chandra_aca.star_probs#

Functions related to probabilities for star acquisition and guide tracking.

Current default acquisition probability model: grid-* (latest grid model) This can be changed by setting the module configuration value conf.default_model to an available model or model glob in the chandra_models repository.

The grid-local-quadratic-2023-05 model definition and fit values based on:

sot/aca_stats
sot/aca_stats
SS&AWG review 2023-02-01

The grid-floor-2020-02 model definition and fit values based on:

sot/aca_stats
SSAWG review: 2020-01-29

Attributes#

`SPLINE_FUNCS`
`WARM_THRESHOLD`
`MIN_ACQ_PROB`
`MAX_ACQ_PROB`
`MULT_STARS_ENABLED`
`conf`

Classes#

`ConfigItem`	A setting and associated value stored in a configuration file.
`Conf`	A namespace of configuration items. Each subpackage with

Functions#

`get_box_delta`(halfwidth)	Transform from halfwidth (arcsec) to the box_delta value.
`set_acq_model_ms_filter`([ms_enabled])	Set acq model multiple star filter.
`t_ccd_warm_limit`(mags[, date, colors, halfwidths, ...])	Find the warmest CCD temperature which meets the `min_n_acq` acquisition stars criterion.
`_prob_n_acq`(star_probs, n_stars, n_acq_probs)	Jit-able portion of prob_n_acq
`prob_n_acq`(star_probs)	Get probability of acquiring n_acq stars.
`acq_success_prob`([date, t_ccd, mag, color, spoiler, ...])	Get acquisition success probability.
`get_default_acq_prob_model_info`([verbose])	Get info about the default acquisition probability model.
`clip_and_warn`(name, val, val_lo, val_hi, model[, ...])	Clip `val` to be in the range `val_lo` to `val_hi`.
`get_grid_axis_values`(hdr, axis)	Get grid model axis values from FITS header.
`get_grid_func_model`([model, version, repo_path])	Get grid model from the `model` name.
`_get_grid_func_model`(model, version, repo_path)
`_read_grid_func_model`(models_dir[, model_name])	Read the model file and put into local vars
`_get_date_from_model_filename`(filepath)
`grid_model_acq_prob`([mag, t_ccd, color, halfwidth, ...])	Calculate grid model probability.
`spline_model_acq_prob`([mag, t_ccd, color, halfwidth, ...])	Calculate spline model acq probability.
`model_acq_success_prob`(mag, warm_frac[, color, halfwidth])	Call sota_model_acq_prob().
`sota_model_acq_prob`(mag, warm_frac[, color, halfwidth])	Calculate raw SOTA model probability of acquisition success.
`mag_for_p_acq`(p_acq[, date, t_ccd, halfwidth, model])	Calculate star magnitude for a given acquisition probability.
`guide_count`(mags, t_ccd[, count_9th])	Calculate guide star fractional count.
`t_ccd_warm_limit_for_guide`(mags[, min_guide_count, ...])	Solve for the warmest temperature that still gets the min_guide_count.
`binom_ppf`(k, n, conf[, n_sample])	Compute percent point function (inverse of CDF) for binomial.
`binomial_confidence_interval`(n_success, n_trials[, ...])	Binomial confidence interval calculation using the Jeffreys prior.

Module Contents#

chandra_aca.star_probs.SPLINE_FUNCS[source]#

chandra_aca.star_probs.WARM_THRESHOLD = 100[source]#

chandra_aca.star_probs.MIN_ACQ_PROB = 1e-06[source]#

chandra_aca.star_probs.MAX_ACQ_PROB = 0.985[source]#

chandra_aca.star_probs.MULT_STARS_ENABLED = False[source]#

chandra_aca.star_probs.conf[source]#