SPHerical: A Python Package For Exploring Alternative Dark Matter Models

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dc.contributor.advisorTulin, Sean
dc.contributor.authorBlaff, Reuben David
dc.date.accessioned2022-03-03T14:07:43Z
dc.date.available2022-03-03T14:07:43Z
dc.date.copyright2021-12
dc.date.issued2022-03-03
dc.date.updated2022-03-03T14:07:43Z
dc.degree.disciplinePhysics And Astronomy
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractCold dark matter (CDM) cosmological N-body simulations have proved to be powerful tools for studying the evolution and structure of the universe. These simulations, however, predict certain small-scale structure that disagrees with observation. They are also computationally expensive. Thus, the majority of efforts have focused upon the vanilla CDM model. There are, however, a variety of DM models beyond CDM, such as self-interacting dark matter (SIDM), which has shown promise in resolving some of the aforementioned small-scale structure problems. Our new Python package, SPHerical, which we present in this paper, aims to allow for further exploration of SIDM and other alternative DM models. The package is used to simulate the evolution of isolated spherically symmetric DM halos using a Smoothed Particle Hydrodynamics (SPH) framework and gravothermal fluid model. In this paper, we limit our scope to SIDM and compare SPHerical's results with those of similar simulations.
dc.identifier.urihttp://hdl.handle.net/10315/39132
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectAstrophysics
dc.subject.keywordsDark matter
dc.subject.keywordsCold dark matter
dc.subject.keywordsCDM
dc.subject.keywordsSelf-interacting dark matter
dc.subject.keywordsSIDM
dc.subject.keywordsCosmological simulation
dc.subject.keywordsIsolated halo simulation
dc.subject.keywordsDark matter models
dc.subject.keywordsSmoothed particle hydrodynamics
dc.subject.keywordsSPH
dc.subject.keywordsGravothermal fluid
dc.titleSPHerical: A Python Package For Exploring Alternative Dark Matter Models
dc.typeElectronic Thesis or Dissertation

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