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    Dynamic Made-To-Measure: A Method of Making Dynamically Self-Consistent Triaxial Dark Matter Halos

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    Date
    2010-04-14
    Author
    Deg, Nathan
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    Abstract
    In this thesis we modify the Made-To-Measure (M2M) algorithm to be dynamically selfconsistent

    and apply it to the problem of generating equilibrium collisionless systems with

    non-spherical halos. Our M2M algorithm systematically adjusts the masses of particles in a

    system slowly, keeping the system in equilibrium. The adjustments are performed according

    to some given constraints and proceed until pseudo-observations of the system match

    the constraints. We use this algorithm to generate isolated triaxial dark matter halos and

    disk-halo systems with prolate halos. The isolated triaxial dark-matter halo simulations

    provide a test for the algorithm. These tests show that our algorithm can generate equilibrium

    collisionless systems with non-spherical halos, but we also find that our algorithm

    requires a large amount of computational time to converge to the final target system. The

    disk-halo simulations show that prolate halos modify the morphology and velocity profile

    of dark matter dominated disks that cause errors in the measurement of the inclination and

    understanding the rotation curve. As a result of these errors, a mass estimate from the

    observed rotation curve of a disk in a prolate halo will depend on the observers position

    relative to the disk. The mass estimates from the same disk observed at different positions

    may vary by up to a factor of three.
    URI for this record
    http://hdl.handle.net/1974/5531
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