A5099172305- Stellar, planetary, and galactic studies
- Astronomy and Astrophysical Research
- Isotope Analysis in Ecology
- Astronomical Observations and Instrumentation
- Geophysics and Gravity Measurements
- Gamma-ray bursts and supernovae
- Food Quality and Safety Studies
University of Southern California
2024
Abstract After decades of brown dwarf discovery and follow-up, we can now infer the functional form mass distribution within 20 pc, which serves as a constraint on star formation theory at lowest masses. Unlike objects main sequence that have clear luminosity-to-mass correlation, dwarfs lack correlation between an observable parameter (luminosity, spectral type, or color) mass. A measurement function must therefore be procured through proxy measurements theoretical models. We utilize various...
After decades of brown dwarf discovery and follow-up, we can now infer the functional form mass distribution within 20 parsecs, which serves as a constraint on star formation theory at lowest masses. Unlike objects main sequence that have clear luminosity-to-mass correlation, dwarfs lack correlation between an observable parameter (luminosity, spectral type, or color) mass. A measurement function must therefore be procured through proxy measurements theoretical models. We utilize various...
We present the discovery of 118 new ultracool dwarf candidates, discovered using a machine learning tool, named \texttt{SMDET}, applied to time series images from Wide-field Infrared Survey Explorer. gathered photometric and astrometric data estimate each candidate's spectral type, distance, tangential velocity. This sample has photometrically estimated class distribution 28 M dwarfs, 64 L 18 T dwarfs. also identify subdwarf candidate, two extreme candidate young Five objects did not have...
Abstract We present the discovery of 118 new ultracool dwarf candidates, discovered using a machine-learning tool, named SMDET , applied to time-series images from Wide-field Infrared Survey Explorer. gathered photometric and astrometric data estimate each candidate’s spectral type, distance, tangential velocity. This sample has photometrically estimated class distribution 28 M dwarfs, 64 L 18 T dwarfs. also identify T-subdwarf candidate, two extreme candidate young Five objects did not have...