Planet-to-star radius ratios measured with TESS-Gaia Light Curves.

TGLC Transit Fit Summary This directory contains the script and results from fitting TGLC light curves using the exoplanet package. • The .dat files contain results from transit fits for stars observed in different TESS sectors. These targets are known planets discovered by TESS or Kepler. Each row corresponds to one TESS sector and includes key parameters from the transit model. • xo_TransitFitMultiInstrument_New.py — Python script used to fit the TGLC light curves. • PS*.csv files are taken from the NASA Exoplanet Archive. For TESS, we removed planets/publications not selected in our sample and renamed the Planet System table to the PS_reduced.csv • table*.csv files are machine-readable tables for tables in the appendix. Columns of deviation*.dat files: Star_sector Tmag rhat p pl_ratror pl_ratrorerr1 pl_ratrorerr2 value err1 err2 TIC_16005254_43 13.2239 1.0 3.792622 0.159 0.005 -0.006 0.170849 0.0048251 -0.0051914 Star_sector: Identifier combining the TIC ID and TESS observing sector (e.g., TIC_16005254_43 refers to TIC 16005254 observed in Sector 43). Tmag: TESS-band magnitude of the host star. rhat: Gelman–Rubin statistic (R̂) indicating MCMC convergence; values close to 1.0 suggest good convergence. p: Orbital period of the planet, in days. pl_ratror: Planet-to-star radius ratio (Rp/R★) from the literature. pl_ratrorerr1: Positive uncertainty on pl_ratror. pl_ratrorerr2: Negative uncertainty on pl_ratror. value: Planet-to-star radius ratio (Rp/R★) derived from the TGLC fit. err1: Positive uncertainty on value. err2: Negative uncertainty on value. Plotting scripts: The plotting scripts (figure_1_and_2.py and figure_3.py) can be used to reproduce the published figures with the provided data files. It is required to run the first script to produce another pickle file used by the second script to make figure 3.