TESS sectors 55 and 82 give consistent half-depth transit widths for MASCARA-1 b
We tested whether the transit profile of MASCARA-1 b changed between two TESS visits in 2022 and 2024. We fitted separate spline profiles to 8 and 9 transits in sectors 55 and 82. The profiles include the effect of the exposure time. The intrinsic half-depth widths are 225.72 and 225.83 minutes. The measured change, sector 82 minus sector 55, is +0.11 minute. The middle 95% of 400 whole-transit refits spans -0.52 to +0.77 minute. The 20-second data give a change of +0.19 minute. Other flux and fit controls also give small changes. Synthetic three-minute changes are recovered on the observed timestamps. We find no resolved width change under these tests. The error ranges hold errors shared by a sector fixed. The result measures a brightness profile. It does not measure an orbit change. The package includes the four source FITS files, code, hashes, per-draw widths, and figures.
MASCARA-1 b · TESS · transit width · gravity darkening · public data · signal recovery
References
10- doi:10.1051/0004-6361/202141645
This study gives the physical context and earlier tests of orbital precession in MASCARA-1 b.
- doi:10.48550/arXiv.2510.14229
This study measured transit times and depths from the same TESS sectors. We test the half-depth width.
- Uniform TESS 120-s photometry (Sectors 1–107) detects eclipses of 35 of 420 hot Jupiters at z ≥ 3 (2.2 false expected), 9 with no published TESS depth; blackbody emission explains the stacked depths sci:sha256:59aa18ecf235f3a1537ef68883cfb4cb1737ce4c9e945510c455729d2eea26a5
This study measured the TESS secondary eclipse for the same target.
- usesdoi:10.1117/1.JATIS.1.1.014003
The TESS mission supplied the observations.
- usesdoi:10.1117/12.2233418
The SPOC pipeline supplied the public light curves.
- usesdoi:10.1086/672273
The NASA Exoplanet Archive supplied the central ephemeris used to locate event windows.
- usesdoi:10.1038/s41592-019-0686-2
SciPy supplies spline evaluation, optimization, and root finding.
- usesdoi:10.3847/1538-4357/ac7c74
Astropy supplies FITS input.
- usesdoi:10.1038/s41586-020-2649-2
NumPy supplies numerical arrays and seeded random draws.
- usesdoi:10.1109/MCSE.2007.55
Matplotlib supplies the figures.
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