Anna Lueber, Kevin Heng, Brendan P. Bowler, Daniel Kitzmann, Johanna M. Vos, Yifan Zhou
{"title":"The Retrieved Atmospheric Properties of the Sub-stellar Object VHS 1256 b from Analyzing HST, VLT and JWST Spectra","authors":"Anna Lueber, Kevin Heng, Brendan P. Bowler, Daniel Kitzmann, Johanna M. Vos, Yifan Zhou","doi":"arxiv-2409.08254","DOIUrl":null,"url":null,"abstract":"Motivated by the observed ~30% variations in flux from the L7 dwarf VHS 1256\nb, we subjected its time-resolved Hubble Space Telescope (HST) WFC3 spectra\n(measured in two epochs in 2018 and 2020), as well as medium-resolution Very\nLarge Telescope (VLT) X-shooter and Early Release Science James Webb Space\nTelescope (JWST) spectra to a suite of both standard Bayesian (nested sampling)\nand machine-learning (random forest) retrievals. We find that both HST and VLT\ndata require vertically varying abundance profiles of water in order to model\nthe spectra accurately. Despite the large flux variations observed in the HST\ndata, the temporal variability cannot be attributed to a single varying\natmospheric property. The retrieved atmospheric quantities are consistent with\nbeing invariant across time. However, we find that model grids provide\ngenerally poor fits to the measured HST spectra and are unsuitable for\nquantifying the temporal variability of atmospheric properties. Additionally,\nour analysis of JWST spectra using model grids indicates consistency in\nretrieved properties across different wavelength channels. Despite the temporal\nvariability in flux, the retrieved properties between HST and VLT, as well as\nbetween HST and JWST, are consistent within the respective posterior\nuncertainties. Such an outcome bodes well for future retrieval analyses of\nexoplanetary atmospheres, which are expected to exhibit weaker flux variations.","PeriodicalId":501068,"journal":{"name":"arXiv - PHYS - Solar and Stellar Astrophysics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Solar and Stellar Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Motivated by the observed ~30% variations in flux from the L7 dwarf VHS 1256
b, we subjected its time-resolved Hubble Space Telescope (HST) WFC3 spectra
(measured in two epochs in 2018 and 2020), as well as medium-resolution Very
Large Telescope (VLT) X-shooter and Early Release Science James Webb Space
Telescope (JWST) spectra to a suite of both standard Bayesian (nested sampling)
and machine-learning (random forest) retrievals. We find that both HST and VLT
data require vertically varying abundance profiles of water in order to model
the spectra accurately. Despite the large flux variations observed in the HST
data, the temporal variability cannot be attributed to a single varying
atmospheric property. The retrieved atmospheric quantities are consistent with
being invariant across time. However, we find that model grids provide
generally poor fits to the measured HST spectra and are unsuitable for
quantifying the temporal variability of atmospheric properties. Additionally,
our analysis of JWST spectra using model grids indicates consistency in
retrieved properties across different wavelength channels. Despite the temporal
variability in flux, the retrieved properties between HST and VLT, as well as
between HST and JWST, are consistent within the respective posterior
uncertainties. Such an outcome bodes well for future retrieval analyses of
exoplanetary atmospheres, which are expected to exhibit weaker flux variations.