A New Method for Characterizing Very-Low-Mass Companions with Low Resolution Near-Infrared Spectroscopy
Emily L. Rice (CUNY CSI), Rebecca Oppenheimer (AMNH), Neil Zimmerman, (Princeton), Lewis C. Roberts Jr. (JPL/Caltech), Sasha Hinkley (Exeter)

TL;DR
This paper introduces an efficient method for characterizing very low-mass companions using low-resolution near-infrared spectra, demonstrating high accuracy in determining temperature and gravity through simulated data analysis.
Contribution
The paper presents a new computational approach utilizing Markov Chain Monte Carlo techniques for analyzing low-resolution spectra of low-mass companions, improving parameter estimation accuracy.
Findings
Effective temperature uncertainties as low as ±30 K for some spectral types
Surface gravity constrained within 0.2-0.4 dex for mid-L to T dwarfs
High spectral coverage compensates for low resolution in characterization
Abstract
We present a new and computationally efficient method for characterizing very low mass companions using low resolution (30) near-infrared () spectra from high contrast imaging campaigns with integral field spectrograph (IFS) units. We conduct a detailed quantitative comparison of the efficacy of this method through tests on simulated data comparable in spectral coverage and resolution to the currently operating direct imaging systems around the world. In particular, we simulate Project 1640 data as an example of the use, accuracy, and precision of this technique. We present results from comparing simulated spectra of M, L, and T dwarfs with a large and finely-sampled grid of synthetic spectra using Markov Chain Monte Carlo techniques. We determine the precision and accuracy of effective temperature and surface gravity inferred from fits to PHOENIX dusty and cond, which we…
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