make_lc

tessilator.lc_analysis.make_lc(phot_table)

Construct the normalised TESS lightcurve.

The function runs the following tasks:

(1) Read the table produced from the aperture photometry

(2) Normalise the lightcurve using the median flux value.

(3) Clean the lightcurve from spurious data using “clean_lc”

(4) Detrend the lightcurve using “detrend_lc”

(5) Return the original normalised lightcurve and the cleaned lightcurve

Parameters:

phot_tableastropy.table.Table or dict

The data table containing aperture photometry returned by aper_run.py. Columns must include:

“time” -> The time coordinate for each image

“mag” -> The target magnitude

“flux_corr” -> The total flux subtracted by the background flux

“flux_err” -> The error on flux_corr

Returns:

clndict

The cleaned, detrended, normalised lightcurve, with the keys:

“time” -> The time coordinate

“time0” -> The time coordinate relative to the first data point

“oflux” -> The original, normalised flux values

“nflux” -> The detrended, cleaned, normalised flux values

“enflux” -> The error on “nflux”

“lc_part” -> The running index for each contiguous data section in the lightcurve

origdict

The original, normalised lightcurve, with the keys:

“time” -> The time coordinate

“nflux” -> The original, normalised flux values

“mag” -> The TESS magnitude values