11:15 AM - 11:30 AM
[PCG19-09] Characterizing the nearest brown dwarfs with ExoJAX
Keywords:atmospheric retrieval, high-dispersion spectroscopy, brown dwarf, ExoJAX
The high-dispersion spectrum of brown dwarfs contains precise information on an abundance of molecules in the brown dwarf atmosphere and a variety of physical parameters of brown dwarfs, including temperature, surface gravity, and so on. Therefore, we can understand brown dwarfs well by analyzing the high-dispersion spectrum of brown dwarfs. Furthermore, analyzing the high-dispersion spectrum of brown dwarfs is becoming increasingly important as a prototype for the understanding of exoplanets in the future, because brown dwarfs have similar properties to young and warm exoplanets. As brown dwarfs are brighter and able to be precisely measured more than exoplanets, they can be also a test bed for establishing a method for characterizing exoplanets. However, studies analyzing the high-dispersion spectrum of brown dwarfs are still few and underdeveloped.
Here, we present the results and progress of the analysis of both near-infrared high-dispersion spectrum of Luhman16A and B(2.288-2.345 um, R~100,000), obtained by CRIRES on the Very Large Telescope, to characterize both brown dwarfs. Luhman16AB(WISE J104915.57−531906.1) is a close brown dwarf binary and both components are the nearest known brown dwarfs to the Sun(~2 pc from the Sun). Because both Luhman16A and B have been measured in a variety of ways(e.g. astrometry, Lazorenko et al., 2018), dynamics and physical parameters(e.g. mass) have been obtained precisely by a method that does not analyze the high-dispersion spectrum. Therefore, Luhman16A and B are important samples for establishing a method for analyzing the high-dispersion spectrum of brown dwarfs because we can compare the results of analyzing the high-dispersion spectrum of them with known values such as mass and so on. Both also have been known for their age so we can compare the results with the isochrone evolution of the brown dwarf(Gagne et al., 2023). We use the auto-differentiable spectral modeling tool, ExoJAX(Kawahara et al., 2022) for high dispersion characterization of Luhman16A and B.
