Published December 14, 2023 | Version 1.0
Dataset Open

The Sonora Substellar Atmosphere Models. IV. Elf Owl: Atmospheric Mixing and Chemical Disequilibrium with Varying Metallicity and C/O Ratios (Y- type Models)

  • 1. University of California Santa Cruz
  • 2. ROR icon University of California, Santa Cruz
  • 3. ROR icon The University of Texas at Austin
  • 4. NASA Ames Research Center
  • 5. ROR icon University of Arizona
  • 6. University of Central Florida
  • 7. Dordt University
  • 8. ROR icon Space Science Institute
  • 9. ROR icon Eureka Scientific
  • 10. ROR icon Search for Extraterrestrial Intelligence

Description

  • Overview

          The Sonora Elf Owl Models is a successor to the Sonora Bobcat and Sonora Cholla models. The Sonora Elf Owl model grid includes cloud-free radiative-convective equilibrium model atmospheres with vertical mixing induced disequilibrium chemistry with sub-solar to super-solar atmospheric metallicities and Carbon-to-Oxygen ratio. The atmospheric models have been computed using the open-source radiative-convective equilibrium model PICASO. The parameters included within this grid are effective temperature (Teff), gravity (log(g)), vertical eddy diffusion coefficient (log(Kzz)), atmospheric metallicity ([M/H]), and Carbon-to-Oxygen ratio (C/O).

The ranges and increments of these parameters are described in the published paper.

  • Three grids available on three links

            The model grid has been presented using three Zenodo repositories. This repository has all the models between Teff of 275 to 550 K (applicable to Y-type objects). The models for Teff between 575 to 1200 K (applicable for T- type objects) are available in the Zenodo DOI :- https://zenodo.org/records/10385821. The models for Teff between 1300 to 2400 K (applicable for L- type objects) are available in the Zenodo DOI :-   https://zenodo.org/records/10385987.

 

  •  File types and how to use them

            The models have been presented in the Xarray format so that all the atmospheric properties including the T(P) profile, atmospheric chemistry, and thermal emission spectra can be accessed within the same files. A python based Jupyter notebook named "Reading and plotting Elf Owl Models.ipynb" has been also supplied which demonstrates how to open and use these files.

  •   Spectra

            The emission spectra for each atmospheric model has been computed between 0.6 to 15 microns. The reported flux is in the units of erg/s/cm2/cm. Note that these fluxes need to be multiplied with R2/D2  before comparing them with the typically observed flux of brown dwarfs/exoplanets. R is the radius of the object, and D is the distance here.

 
  • Note on CH4

           As stated in Mukherjee et al. 2023 our CH4 opacity is derived using the Hargreaves et al. 2020 HITEMP line list and computed using the HAPI code (Kochanov et al. 2016). HAPI automatically pre-weights the isotopologues according to earth abundances that are listed on the HITRAN website (see here for CH4). Therefore, users should note that there will be minor features of CH3D included in the models. Given the general absence of deuterated molecules in brown dwarfs  (Teff>~300) we will include a second posting of models which includes the Elf Owl grid with only the major CH4 isotopologue (12C-H4).

  • Note on PH3

          PH3 abundance is treated separately from the general disequilibrium scheme. This is because of the current non-detection of PH3 in many brown dwarf atmospheres (see citations in paper). The current PH3 treatment uses the chemical equilibrium treatment described in Visscher et al. However, after publishing this grid and using the model for analysis of high precision JWST data, we noticed that even the simple chemical equilibrium treatment which reduces the abundance, introduces a noticeable PH3 feature. Therefore in our v2 of this model grid we will further diminish the abundance.

Files

Reading and plotting Elf Owl Models.ipynb

Files (40.4 GB)

Name Size Download all
md5:44019c9cdad6c41086ac78a2e5ed546e
10.1 GB Download
md5:937db88a3be0e2aed03c2277cb538384
10.1 GB Download
md5:5286a340cfad517e339faafa0b1b5bee
10.1 GB Download
md5:4832eb6338c76504ae5f660bb9dfab27
10.1 GB Download
md5:69be42f42b8c606a86ca6941ae09d972
326.3 kB Preview Download

Additional details

Related works

Is supplemented by
Dataset: 10.5281/zenodo.10385821 (DOI)
Dataset: 10.5281/zenodo.10385987 (DOI)

References

  • Theodora Karalidi et al 2021 ApJ 923 269
  • Mark S. Marley et al 2021 ApJ 920 85
  • Sagnick Mukherjee et al 2023 ApJ 942 71
  • Hargreaves, Robert J., et al. 2020, The Astrophysical Journal Supplement Series 247.2 55
  • Kochanov, Roman V., et al. 2016, Journal of Quantitative Spectroscopy and Radiative Transfer 177: 15-30