A5034596517- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Astronomy and Astrophysical Research
- Spectroscopy and Chemometric Analyses
- Astronomical Observations and Instrumentation
- Astro and Planetary Science
- Spectroscopy and Laser Applications
- Attachment and Relationship Dynamics
- Digital Mental Health Interventions
- Telemedicine and Telehealth Implementation
University of Washington
2021-2023
City University of Seattle
2023
University of North Texas
2023
Western Washington University
2020-2022
Machine learning allows efficient extraction of physical properties from stellar spectra that have been obtained by large surveys. The viability ML approaches has demonstrated for covering a variety wavelengths and spectral resolutions, but most often main sequence or evolved stars, where reliable synthetic provide labels data training. Spectral models young objects (YSOs) low mass (MS) stars are less well-matched to their empirical counterparts, however, posing barriers previous classify...
Abstract We present 370 candidate eclipsing binaries (EBs), identified from ∼510,000 short cadence TESS light curves. Our statistical criteria identify 5105 curves with features consistent eclipses (∼1% of the initial sample). After visual confirmation curves, we have a final sample 2288 EB candidates. Among these, find sources that were not included in catalog recently published by Prša et al. publish our full new candidates, and used for their identification, reported per observation sector.
ABSTRACT We report a study exploring how the use of deep neural networks with astronomical Big Data may help us find and uncover new insights into underlying phenomena: through our experiments towards unsupervised knowledge extraction from we serendipitously found that convolutional autoencoders tend to reject telluric lines in stellar spectra. With further experiments, only when spectra are barycentric frame does network automatically identify statistical independence between two...
HS Hydrae is a short period eclipsing binary (P_orb=1.57 day) that belongs to rare group of systems observed have rapidly changing inclinations. This evolution due third star on an intermediate orbit, and results in significant differences eclipse depths timings year-to-year. Zasche & Paschke (2012) revealed Hydrae's eclipses were fading from view, predicting they would cease around 2022. Using 25 days photometric data Sector 009 the Transiting Exoplanet Survey Satellite (TESS), we find...
We report a study exploring how the use of deep neural networks with astronomical Big Data may help us find and uncover new insights into underlying phenomena: through our experiments towards unsupervised knowledge extraction from we serendipitously found that convolutional autoencoders tend to reject telluric lines in stellar spectra. With further only when spectra are barycentric frame does network automatically identify statistical independence between two components, vs telluric, rejects...
We present 370 candidate eclipsing binaries (EBs), identified from ~510,000 short cadence TESS light curves. Our statistical criteria identify 5,105 curves with features consistent eclipses (~1% of the initial sample). After visual confirmation curves, we have a final sample 2,288 EB candidates. Among these, find sources that were not included in catalog recently published by Prsa et al. publish our full new candidates, and used for their identification, reported per observation sector.