J/A+A/704/A317 TEQUILA catalog of TESS images variables (Ogunwale+, 2025)
The TEQUILA catalog of variables in TESS full-frame images.
Differential photometry light curves from the first two years of observations.
Ogunwale B.B., Zaguri Y., Perdelwitz V., Voelschow M., Azulay S.Y.,
Guetta D., Tal-Or L.
<Astron. Astrophys. 704, A317 (2025)>
=2025A&A...704A.317O 2025A&A...704A.317O (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Stars, variable ; Exoplanets ; Photometry ; Optical
Keywords: techniques: photometric - catalogs -
minor planets, asteroids: general - stars: variables: general
Abstract:
Stellar variability and transient events provide critical insights
into many areas of astrophysics. Progress in these fields has been
accelerated by high-precision space-based photometry missions such as
CoRoT, Kepler, and K2. NASA's ongoing Transiting Exoplanet Survey
Satellite (TESS) represents another significant milestone, offering a
unique combination of long observational baseline, high cadence, and
nearly all-sky coverage. However, extracting high-quality light curves
from TESS full-frame images (FFIs) remains challenging due to
contamination from scattered light and blending in crowded fields.
In this study, we processed TESS FFIs to produce a comprehensive
catalog of light curves for variable point sources observed during the
satellite's prime mission. The resulting database, TESS Quick-look
and Light curve Analysis (TEQUILA), provides over six million light
curves. These include stellar variables, transient events,
instrumental systematics, and moving objects. The data were obtained
using a pipeline based on difference image analysis, construction of
high S/N reference frames, and fixed-radius aperture photometry. A
convolutional neural network was used to flag systematic noise, and
cross-matching with known Solar System objects was performed to
identify contamination.
All extracted light curves are publicly accessible as a high-level
science product through the MAST archive.
Description:
This catalog contains parameters for variable sources detected by
difference image analysis of TESS FFIs during the first two years
(Sectors 1-26).
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
tequila.dat 304 6181188 TEQUILA master frame catalog
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See also:
IV/39 : TESS Input Catalog version 8.2 (TIC v8.2) (Paegert+, 2021)
Byte-by-byte Description of file: tequila.dat
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Bytes Format Units Label Explanations
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1- 66 A66 --- FileName Name of the HLSP FITS file from which
photometry was extracted
68- 72 I5 --- ID Unique internal source identifier
74- 82 F9.4 pix Xcenter X centroid on TESS FFI (pixels)
84- 92 F9.4 pix Ycenter Y centroid on TESS FFI (pixels)
96-110 F15.6 e-/s Aperturesum Raw aperture-summed flux
(before background subtraction)
118-129 F12.8 deg RAdeg [0/360] Right Ascension (ICRS, J2000)
136-148 F13.8 deg DEdeg Declination (ICRS, J2000)
153-167 F15.6 e-/s Flux Background-subtracted reference flux
174-184 F11.6 e-/s e_Flux ?=- Uncertainty in reference flux
186-193 F8.5 mag mag Estimated TESS instrumental magnitude
194-202 F9.5 mag e_mag ?=- Uncertainty in magnitude estimate
210-219 F10.6 e-/s BkgMean Mean background level per pixel
227-236 F10.6 e-/s e_BkgMean RMS of background background variations
247-255 F9.6 e-/s NoiseLevel Noise metric (PTP-MDV; Sect. 3.3)
256-260 I5 --- Group Blending-group identifier
271-279 F9.6 e-/s RMS Robust RMS (1.483xMAD) of flux
281-290 F10.4 --- SNR Signal-to-Noise ratio (RMS / Noise_Level)
293 I1 --- SSOContam [0/1] SSO contamination flag (0=no, 1=yes)
296 I1 --- IsSystematic [0/1] Systematic-noise flag (0=no, 1=yes)
298-304 F7.5 --- Confidence [0/1]?=- Classifier confidence score (0-1)
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Acknowledgements:
Bisi Bernard Ogunwale, bisi.ogunwale(at)msmail.ariel.ac.il
(End) Patricia Vannier [CDS] 03-Dec-2025