Kinematic Constraints On Brown Dwarf Atmospheric Variability And Evidence For Bimodal Formation From Multi-Survey Analysis

We present a comprehensive analysis of 2,345 spectroscopically confirmed L and T dwarfs combining photometric data from SDSS DR16, 2MASS, WISE, and astrometric measurements from Gaia EDR3. Our investigation addresses two fundamental questions regarding brown dwarf populations: the relationship between atmospheric variability and galactic kinematics, and the underlying mass distribution revealing formation mechanisms. Through Monte Carlo simulations incorporating the BT-Settl atmospheric models, we demonstrate that metallicity variations arising from galactic chemical evolution should produce measurable dif- ferences in near-infrared variability amplitudes as a function of tangential velocity. We predict that brown dwarfs with vtan > 80 km s−1 will exhibit variability amplitudes reduced by a factor of 2.3 ± 0.4 compared to thin disk members, driven by decreased cloud opacity at sub-solar metallicities. This prediction is testable with current JWST monitoring programs. Analysis of the mass function reveals a statistically significant (4.7σ) deficit of objects in the 0.030 −0.075 M⊙ range relative to log-normal extrapolation from the stellar regime. The distribution exhibits a broken power law with ξ(M ) ∝ M −0.3±0.2 for M > 0.075 M⊙ and ξ(M ) ∝ M −1.4±0.3 for M <0.030 M⊙. This bimodality strongly suggests distinct formation channels: turbulent fragmentation dominating above the gap and disk instability with subsequent dynamical ejection below it.

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Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.120800280
Primary Topic
Oceanographic and Atmospheric Processes
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article
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article

Kinematic Constraints On Brown Dwarf Atmospheric Variability And Evidence For Bimodal Formation From Multi-Survey Analysis

N. Abhay Vivek Siddhartha
International journal of research and scientific innovation
Oceanographic and Atmospheric Processes
article

Kinematic Constraints On Brown Dwarf Atmospheric Variability And Evidence For Bimodal Formation From Multi-Survey Analysis

N. Abhay Vivek Siddhartha
article en

Abstract

We present a comprehensive analysis of 2,345 spectroscopically confirmed L and T dwarfs combining photometric data from SDSS DR16, 2MASS, WISE, and astrometric measurements from Gaia EDR3. Our investigation addresses two fundamental questions regarding brown dwarf populations: the relationship between atmospheric variability and galactic kinematics, and the underlying mass distribution revealing formation mechanisms. Through Monte Carlo simulations incorporating the BT-Settl atmospheric models, we demonstrate that metallicity variations arising from galactic chemical evolution should produce measurable dif- ferences in near-infrared variability amplitudes as a function of tangential velocity. We predict that brown dwarfs with vtan > 80 km s−1 will exhibit variability amplitudes reduced by a factor of 2.3 ± 0.4 compared to thin disk members, driven by decreased cloud opacity at sub-solar metallicities. This prediction is testable with current JWST monitoring programs. Analysis of the mass function reveals a statistically significant (4.7σ) deficit of objects in the 0.030 −0.075 M⊙ range relative to log-normal extrapolation from the stellar regime. The distribution exhibits a broken power law with ξ(M ) ∝ M −0.3±0.2 for M > 0.075 M⊙ and ξ(M ) ∝ M −1.4±0.3 for M <0.030 M⊙. This bimodality strongly suggests distinct formation channels: turbulent fragmentation dominating above the gap and disk instability with subsequent dynamical ejection below it.

International journal of research and scientific innovationVol. XII(XV)
Telangana University (IN)
Openalex Percentile: Top 72%
Oceanographic and Atmospheric Processes
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Kinematic Constraints On Brown Dwarf Atmospheric Variability And Evidence For Bimodal Formation From Multi-Survey Analysis — N. Abhay Vivek Siddhartha · International journal of research and scientific innovation (2025) | TGRS Research Map | TGRS