codemeta.json

{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "license": "https://spdx.org/licenses/GPL-3.0-or-later",
    "codeRepository": "https://github.com/mpound/pdrtpy",
    "dateModified": "2020-08-17",
    "downloadUrl": "https://pypi.org/project/pdrtpy/",
    "issueTracker": "https://github.com/mpound/pdrtpy/issues",
    "name": "Photodissociation Region Toolbox",
    "version": "2.1.1",
    "description": "Ultraviolet photons from O and B stars strongly influence the structure and emission spectra of the interstellar medium. The UV photons energetic enough to ionize hydrogen (hν>13.6eV ) will create the H II region around the star, but lower energy UV photons escape. These far-UV photons (6 eV<hν<13.6 eV) are still energetic enough to photodissociate molecules and to ionize low ionization-potential atoms such as carbon, silicon, and sulfur. They thus create a photodissociation region (PDR) just outside the H II region. In aggregate, these PDRs dominates the heating and cooling of the neutral interstellar medium. \n\nThe PDR Toolbox is a science-enabling Python package for the community, designed to help astronomers determine the physical parameters of photodissociation regions from observations. Typical observations of both Galactic and extragalactic PDRs come from ground- and space-based millimeter, submillimeter, and far-infrared telescopes such as ALMA, SOFIA, JWST, Spitzer, and Herschel. Given a set of observations of spectral line or continuum intensities, PDR Toolbox can compute best-fit FUV incident intensity and cloud density based on our models of PDR emission.",
    "applicationCategory": "Astronomy",
    "developmentStatus": "active",
    "referencePublication": "http://adsabs.harvard.edu/abs/2008ASPC..394..654P  and http://adsabs.harvard.edu/abs/2006ApJ...644..283K",
    "funder": {
        "@type": "Organization",
        "name": "NASA Astrophysics Data Analysis Program"
    },
    "keywords": [
        "PDR",
        "photodissociation",
        "H II region"
    ],
    "programmingLanguage": [
        "Python 3"
    ],
    "operatingSystem": [
        "Linux",
        "Windows",
        "MacOS"
    ],
    "softwareRequirements": [
        "Python 3"
    ],
    "relatedLink": [
        "http://dustem.astro.umd.edu",
        "https://pdrtpy.readthedocs.io/en/latest/"
    ],
    "author": [
        {
            "@type": "Person",
            "@id": "http://orcid.org/0000-0002-7269-342X",
            "givenName": "Marc",
            "familyName": "Pound",
            "email": "mpound@umd.edu",
            "affiliation": {
                "@type": "Organization",
                "name": "Astronomy Department, University of Maryland, College Park, MD 20742"
            }
        },
        {
            "@type": "Person",
            "@id": "http://orcid.org/0000-0003-0030-9510",
            "givenName": "Mark",
            "familyName": "Wolfire",
            "email": "mwolfire@umd.edu",
            "affiliation": {
                "@type": "Organization",
                "name": "Astronomy Department, University of Maryland, College Park, MD 20742"
            }
        }
    ]
}