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Title: UNCOVER: JWST Spectroscopy of Three Cold Brown Dwarfs at
    Kiloparsec-scale Distances 
Authors: Burgasser A.J., Bezanson R., Labbe I., Brammer G., Cutler S.E.,
    Furtak L.J., Greene J.E., Gerasimov R., Leja J., Pan R., Price S.H.,
    Wang B., Weaver J.R., Whitaker K.E., Fujimoto S., Kokorev V., Dayal P.,
    Nanayakkara T., Williams C.C., Marchesini D., Zitrin A., van Dokkum P.
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Description of contents: This tar.gz archive file contains the data
    displayed in Figure 2 of the manuscript listed above. Specifically,
    it contains the reduced spectra as also available in Figure 1
    (duplicated for ease of use), standard spectra from Burgasser et
    al. (2004, 2006a [2004AJ....127.2856B] [2006ApJ...639.1095B]), and
    best-fits LOWZ models to the full 1–5 μm spectra taken from the
    LOWZ models of Meisner et al. (2021) [2021ApJ...915..120M] as
    available from the Harvard Dataverse
    (https://doi.org/10.7910/DVN/SJRXUO). The specific files included
    in this archive are as follows, group by object ordered from top
    to the bottom of the corresponding figure: 
    
    Top row
    Object/Model File name                     MD5 checksum for .fits binary files
    ------------ ---------                     -----------------------------------
    UNCOVER-BD-1 uncover32265_jwstnirspec.fits 394b74141b31953ef8df3763299278c3
    T1 standard  stdT1_SPLAT.fits              0e26b4c6405fc9a1e6b557585b249f82
    LOWZ Model   lowz_t1300_g5.00_z-1.00_k2.0_co0.10_JWST-NIRSPEC-PRISM.txt
    
    Middle row
    Object/Model File name                     MD5 checksum for .fits binary files
    ------------ ---------                     -----------------------------------
    UNCOVER-BD-2 uncover33437_jwstnirspec.fits b1c5438b8e2fb72989809af832a01b19
    T6 standard  stdT6_SPLAT.fits              ed45a86fab59d4169e6cd3c66b76bbb6
    LOWZ Model   lowz_t1000_g5.25_z-0.00_k2.0_co0.55_JWST-NIRSPEC-PRISM.txt
    
    Bottom row
    Object/Model File name                     MD5 checksum for .fits binary files
    ------------ ---------                     -----------------------------------
    UNCOVER-BD-3 uncover39243_jwstnirspec.fits 78de5379c2a64c48aac6857a7bc7a17c
    T8 standard  stdT8_SPLAT.fits              ec19610fb5d196d0d046b7b1add8b289
    LOWZ Model   lowz_t550_g5.25_z-0.50_k10.0_co0.85_JWST-NIRSPEC-PRISM.txt
    
    
System requirements: The reduced spectra are as described in the Figure 1 
    data. The three T dwarf spectral standards are given as data files 
    that can be read by the SPLAT (https://github.com/aburgasser/splat).
    The SPLAT files are missing a SIMPLE keyword; the astropy commands to
    read these files are:

    from astropy.io import fits
    with fits.open('stdT1_SPLAT.fits',ignore_missing_simple=True) as hdu:
        wave,flux,unc = hdu[0].data
    
    Once opened the SPLAT-standard star files contains 3 columns:
    wavelength in micron, flux density in normalized F_lambda units, and
    flux density uncertainty in normalized F_lambda units. 
    
    The LOWZ models  Each file is a tab-delimited ascii file with two
    columns: wavelength in micron and surface flux density in
    erg/cm^2/s/micron, sampled at the wavelength range and resolution of
    JWST NIRSpec/prism. The file name encapsulates the model parameters: t
    = temperature in K, g = logarithmic surface gravity in cm/s^2, z =
    logarithmic solar-scaled metallicity (equivalent of [M/H]), k =
    logarithmic of vertical diffusion coefficient in cm^2/s, co = C/O
    abundance ratio. These files can be read with astropy Table and the
    command:
    
    >>> Table.read("lowz_t1000_g5.25_z-0.00_k2.0_co0.55_JWST-NIRSPEC-PRISM.txt", 
            format="ascii.tab", data_start=0, 
            names=['WAVELENGTH','FLUX'],
            units=['um','erg/s/cm2/micron'])


Additional comments: The standard star data are from Burgasser et al
    (2004, 2006a [2004AJ....127.2856B] [2006ApJ...639.1095B]) and are
    also available (with additional standards) in the SPLAT package,
    https://github.com/aburgasser/splat The complete set of LOWZ
    atmosphere models can be found on the Harvard Dataverse:
    https://doi.org/10.7910/DVN/SJRXUO
    
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