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Bisi Bernard Ogunwale

Publications and source records attributed to Bisi Bernard Ogunwale.

2 recordsLinked to original sources

A Deep Precursor-Dip-Main Superoutburst Sequence in VW Hydri Observed with TESS: High-Cadence Constraints on the Thermal-Tidal Instability Model

We present 120s cadence TESS observations of three superoutbursts of the SU UMa-type dwarf nova VW Hydri. Two events (SO2 in Sectors 87+88 and SO3 in Sector 93) exhibit a pronounced, temporally pronounced precursor-dip followed by a rapid rise into the main superoutburst plateau. This morphology, previously seen in Kepler light curves of V1504 Cyg and V344 Lyr, is a key prediction of the thermal-tidal instability (TTI) model when a normal (precursor) outburst expands the disk only marginally beyond the 3:1 resonance radius, allowing the tidal instability to grow slowly and produce a deep dip approaching quiescence before rapid amplification drives the main superoutburst. A sliding-window time-frequency analysis reveals superhump power already during the decline and near minimum light, with a smooth period evolution across the dip and stabilization after the system returns to the hot state, consistent with the growth and saturation of disk eccentricity at the 3:1 resonance. From the stabilized Stage A superhump periods, we infer a representative mass ratio $q = 0.131 \pm 0.002$. Combined with either a typical SU UMa white-dwarf mass prior or the semi-empirical donor sequence at an orbital period of 107~min, the implied component masses are $M_1 \simeq 0.6$--$1.0\,M_\odot$ and $M_2 \simeq 0.08$--$0.14\,M_\odot$, ruling out a brown-dwarf donor and establishing VW~Hyi as a benchmark system for testing tidal-instability models in low-$q$ dwarf novae.

astro-ph.SR↗

The TEQUILA catalog of variables in TESS full-frame images: Differential photometry light curves from the first two years of observations

Stellar variability and transient events provide critical insights into astrophysics, accelerated by missions like CoRoT, Kepler, and K2. NASA's Transiting Exoplanet Survey Satellite (TESS) adds a unique combination of long baseline and all-sky coverage, though extracting light curves from full-frame images (FFIs) is challenging due to scattered light and blending. We processed TESS FFIs to produce TEQUILA (TESS quick-look and light curve analysis), a comprehensive catalog of variable point sources from the prime mission, enabling diverse studies without requiring raw data processing. We used difference image analysis, constructing reference images from quality-filtered FFIs for each CCD across sectors 1-26. Iterative subtraction mitigated systematics, and light curves were created using aperture photometry for sources varying in residual images. The pipeline yields over six million light curves, including stellar variables, transients, systematics, and moving objects. Approximately $6 \times 10^5$ span multiple sectors, with roughly $10^3$ from continuous viewing zones. We achieve median differential variability noise of $10^{-3}$ to $10^0$ for sources between 5.0 and 16.0 Tmag, while typical photometric RMS variability ranges from $10^{-2}$ to $10^1$. A convolutional neural network identifies light curves caused by instrumental noise, assigning a confidence score to each classification. To avoid confusion with astrophysical variables, we also flag light curves prompted by known Solar System objects (SSOs). All light curves are accessible via MAST as a High-Level Science Product. This catalog serves as a discovery tool for new variables; future work will refine methods and extend coverage to the TESS extended mission.

astro-ph.SR↗