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    Simulating Observations Of Low-Mass Sources In NGC 2024 With JWST NIRCam

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    Author
    Gray, Laurin Michelle
    Issue Date
    2019
    Advisor
    Rieke, Marcia
    
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    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    James Webb Space Telescope’s (JWST) primary science imager, NIRCam, will provide near-infrared images and data with sensitivity limits never before reached, making it ideal for observing low-mass sources. In preparation for an upcoming NIRCam study of embedded cluster NGC 2024, this project constructs a possible field of view based on known sources and potential low-mass sources predicted by an initial mass function (IMF) which would have previously been unobservable, and simulates planned NIRCam observation to investigate how accurately NIRCam can observe the faint simulated objects with saturation from bright existing sources and background emission. We produced two sets of simulated sources due to uncertainties in constraining the IMF, and despite the limited time constraints, were able to evaluate the astrometric and photometric accuracy of one set of images for one set of simulated sources. We found that the extracted astrometry was accurate to within 6.3 milliarcseconds for the majority of sources and measured photometry was generally within a standard deviation of 0.06 mags, demonstrating the accuracy of the simulated observations. We also identified several areas which would benefit from a robust data analysis pipeline, such as source detection, PSF fitting, and repetition of the source simulation.
    Type
    text
    Electronic Thesis
    Degree Name
    B.S.
    Degree Program
    Honors College
    Astronomy
    Degree Grantor
    University of Arizona
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    Honors Theses

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