Fluxes

class prose.Fluxes

Photometric fluxes, from single to multiple stars and apertures.

Can hold other measurements time-series, errors and apertures properties.

Methods

__init__(fluxes[, time, errors, data, ...])
autodiff()	Automatic differential photometry with Broeg et al. 2005.
best_aperture_index([method, sigma])	Find index of best aperture
bin(size[, estimate_error])	Returns a Fluxes instance with binned time series
copy()	Deep copy of the object
diff([comps])	Differential photometry.
errorbar([color, fmt])	Error bar plot of the light curve
estimate_best_aperture([target, method, sigma])	Inplace setting of best aperture.
load()	Load fluxes from file
mask(array)	Mask time-dependant fluxes attributes (time, fluxes, errors, data)
mask_stars(mask[, keep_indexing])	Mask stars fluxes.
plot([marker, color, ls, ax])	Plot light curve
save(path)	Save fluxes to file
sigma_clip_flux([iterations, sigma])	Return a Fluxes instance masked using iteratively sigma clipping.
sigma_clipping_data([iterations])	Return a Fluxes instance masked using iteratively sigma clipped data.
vander(**kwargs)

Attributes

aperture	Index of selected aperture
apertures	Apertures radii
comparisons	Comparison stars indices ordered from most to less weighted
data	A dict of data time-series, each with the same shape as time
dataframe	Pandas dataframe of the fluxes and associated measurements
df	Pandas dataframe of the fluxes and associated measurements
error	Error of the target flux
errors	Errors with same shape as fluxes
flux	Main flux
metadata	Metadata
ndim	Number of dimensions of fluxes
shape	shape of fluxes
target	Index of selected target
time	Array of observed time
weights	Fluxes weights (from differential photometry)
fluxes	Fluxes either as 1, 2, or 3 dimensional arrays, with following dimensions - 1: (time) - 2: (star, time) - 3: (aperture, star, time)