tkmatrix.rv.RvFitter

class tkmatrix.rv.RvFitter

Bases: object

Main class used for RV injection and recovery

__init__() → None

Methods

__init__()
compute_mmin_from_semiamplitude(period_grid, ...)	Calculates the minimum mass from a grid of periods and semiamplitudes
compute_semiamplitude_from_mmin(mmin, ...)	Calculates the semi-amplitude from the minimum mass, period and star mass
inject_rv(times, star_mass, rstar, ...)	Creates a synthetic signal of a planet with a given mass, period and t0
mask_signals(rv_df, rv_masks, star_mass)
recover_period(input)
recover_periods(rv_df[, period_grid_geom, ...])
recover_signal(rv_df, period, msin, omega, ...)
recover_strongest_signal(rv_df[, ...])
running_median(data, kernel)	Returns sliding median of width 'kernel' and same length as data
sinfunc(t, k, omega, period)	Computes the RV measurement for the given times, semi-amplitude omega and period.
spectra(chi2[, oversampling_factor, kernel_size])	Computes the SDE for a residuals series.

static compute_mmin_from_semiamplitude(period_grid, k_grid, star_mass)

Calculates the minimum mass from a grid of periods and semiamplitudes

Parameters:

• period_grid – the period grid

• k_grid – the semi-amplitude grid

• star_mass – the star mass

Returns:

the minimum masses grid

static compute_semiamplitude_from_mmin(mmin, period, star_mass)

Calculates the semi-amplitude from the minimum mass, period and star mass

Parameters:

• mmin – the mass min value

• period – the period

• star_mass – the star mass

Returns:

the semi-amplitude value

static inject_rv(times, star_mass, rstar, planet_mass, period, t0)

Creates a synthetic signal of a planet with a given mass, period and t0

Parameters:

• times – the time series

• star_mass – the star mass

• rstar – the star radius

• planet_mass – the synthetic planet mass

• period – the synthetic planet period

• t0 – the synthetic planet epoch

Returns:

the injected RV data

static running_median(data, kernel)

Returns sliding median of width ‘kernel’ and same length as data

Parameters:

• data – the data for the running_median to be applied to

• kernel – the kernel size for the running_median

Returns:

the data after the running median

static sinfunc(t, k, omega, period)

Computes the RV measurement for the given times, semi-amplitude omega and period.

Parameters:

• t – the time series

• k – the semi-amplitude

• omega – the omega value

• period – the period of the planet

Returns:

the RV expected measurements

static spectra(chi2, oversampling_factor=1, kernel_size=30)

Computes the SDE for a residuals series.

Parameters:

• chi2 – the residuals list

• oversampling_factor – the oversampling factor

• kernel_size – the kernel size for the SDE computation

Returns:

all the computed data