• Login
    View Item 
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Assessing the Impact of Astrochemistry on Molecular Cloud Turbulence Statistics

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Boyden_2018_ApJ_860_157.pdf
    Size:
    5.706Mb
    Format:
    PDF
    Description:
    Final Published version
    Download
    Author
    Boyden, Ryan D.
    Offner, Stella S. R.
    Koch, Eric W.
    Rosolowsky, Erik W.
    Affiliation
    Univ Arizona, Steward Observ
    Univ Arizona, Dept Astron
    Issue Date
    2018-06-20
    Keywords
    ISM: jets and outflows
    stars: formation
    stars: low-mass
    stars: winds, outflows
    turbulence
    
    Metadata
    Show full item record
    Publisher
    IOP PUBLISHING LTD
    Citation
    Ryan D. Boyden et al 2018 ApJ 860 157
    Journal
    ASTROPHYSICAL JOURNAL
    Rights
    © 2018. The American Astronomical Society. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We analyze hydrodynamic simulations of turbulent, star-forming molecular clouds that are post-processed with the photodissociation region astrochemistry code 3D-PDR. We investigate the sensitivity of 15 commonly applied turbulence statistics to post-processing assumptions, namely, variations in gas temperature, abundance, and external radiation field. We produce synthetic (CO)-C-12 (1-0) and CI (P-3(1)-P-3(0)) observations and examine how the variations influence the resulting emission distributions. To characterize differences between the data sets, we perform statistical measurements, identify diagnostics sensitive to our chemistry parameters, and quantify the statistic responses by using a variety of distance metrics. We find that multiple turbulent statistics are sensitive not only to the chemical complexity but also to the strength of the background radiation field. The statistics with meaningful responses include principal component analysis, spatial power spectrum, and bicoherence. A few of the statistics, such as the velocity coordinate spectrum, are primarily sensitive to the type of tracer being utilized, while others, like the.-variance, strongly respond to the background radiation field. Collectively, these findings indicate that more realistic chemistry impacts the responses of turbulent statistics and is necessary for accurate statistical comparisons between models and observed molecular clouds.
    ISSN
    1538-4357
    DOI
    10.3847/1538-4357/aac76d
    Version
    Final published version
    Sponsors
    NSF AAG [AST-1510021]; NSERC of Canada
    Additional Links
    http://stacks.iop.org/0004-637X/860/i=2/a=157?key=crossref.a1bb947ff13615471a3e20e7bbfe4d19
    ae974a485f413a2113503eed53cd6c53
    10.3847/1538-4357/aac76d
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.