BLS results and analyzers

class gerbls.pyBLSAnalyzer

BLS results analyzer.

Parameters:

model (gerbls.pyBLSModel) – BLS model generator.

P

Array of tested orbital periods.

Type:

np.ndarray

dchi2

Array of best-fit \(\Delta\chi^2\) values for each tested period.

Type:

np.ndarray

dmag

Array of best-fit transit depths for each tested period.

Type:

np.ndarray

dur

Array of best-fit transit durations for each tested period.

Type:

np.ndarray

f

Array of tested orbital frequencies (= 1/period).

Type:

np.ndarray

generate_models(N_models, unmaskf=0.005)

Identify the top BLS models (periods) in terms of highest \(\Delta\chi^2\) values.

Parameters:

• N_models (int) – Number of models to generate.

• unmaskf (float, optional) – The frequencies of any generated models must differ by at least this amount, by default 0.005.

Return type:

List of gerbls.pyBLSResult

mag0

Array of best-fit out-of-transit flux baselines for each tested period.

Type:

np.ndarray

t0

Array of best-fit transit midpoint times for each tested period.

Type:

np.ndarray

class gerbls.pyBLSResult

Fitted BLS model at a specific orbital period.

Parameters:

• blsa (gerbls.pyBLSAnalyzer) – BLS analyzer object.

• index (int) – Index of the orbital period stored in the BLS analyzer.

Variables:

• dchi2 (float) – \(\Delta\chi^2\) of the fitted model.

• dmag (float) – Transit depth.

• dur (float) – Transit duration.

• mag0 (float) – Out-of-transit flux baseline.

• P (float) – Orbital period.

• t0 (float) – Transit midpoint time.

get_SNR(phot)

Calculate the transit SNR from uncertainty in dmag.

Parameters:

phot (gerbls.pyDataContainer) – Fitted data.

Return type:

float

get_dmag_err(phot)

Calculate the uncertainty in dmag (transit depth).

Parameters:

phot (gerbls.pyDataContainer) – Fitted data.

Return type:

float

get_transit_mask(t)

Determine which of the given input times are in-transit.

Parameters:

t (ArrayLike) – Array of observation times.

Returns:

Boolean array with True values corresponding to in-transit data points.

Return type:

np.ndarray

r

Calculate the planet-to-star radius ratio.

Type:

float

snr_from_dchi2

An initial estimate of the SNR from \(\textrm{SNR} \approx \sqrt{\Delta\chi^2}\).

Type:

float