Short-Period Variables in TESS Full-Frame Image Light Curves Identified via Convolutional Neural Networks

no code implementations • 19 Feb 2024 • Greg Olmschenk, Richard K. Barry, Stela Ishitani Silva, Brian P. Powell, Ethan Kruse, Jeremy D. Schnittman, Agnieszka M. Cieplak, Thomas Barclay, Siddhant Solanki, Bianca Ortega, John Baker, Yesenia Helem Salinas Mamani

The Transiting Exoplanet Survey Satellite (TESS) mission measured light from stars in ~85% of the sky throughout its two-year primary mission, resulting in millions of TESS 30-minute cadence light curves to analyze in the search for transiting exoplanets.

Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks

no code implementations • 26 Jan 2021 • Greg Olmschenk, Stela Ishitani Silva, Gioia Rau, Richard K. Barry, Ethan Kruse, Luca Cacciapuoti, Veselin Kostov, Brian P. Powell, Edward Wyrwas, Jeremy D. Schnittman, Thomas Barclay

We present a convolutional neural network, which we train to identify planetary transit signals and dismiss false positives.

Electromagnetic Emission from a Binary Black Hole Merger Remnant in Plasma: Field Alignment and Plasma Temperature

no code implementations • 21 Oct 2020 • Bernard J. Kelly, Zachariah B. Etienne, Jacob Golomb, Jeremy D. Schnittman, John G. Baker, Scott C. Noble, Geoffrey Ryan

Comparable-mass black-hole mergers generically result in moderate to highly spinning holes, whose spacetime curvature will significantly affect nearby matter in observable ways.

High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology