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Each year the United States' interstates and roadways become increasingly congested, with little development of useful mass transit. Elon Musk released a whitepaper titled Hyperloop Alpha in order to generate conversation around a potential "fifth mode of transportation" as an alternative to current high-speed rail technologies. This case study analyzes

Each year the United States' interstates and roadways become increasingly congested, with little development of useful mass transit. Elon Musk released a whitepaper titled Hyperloop Alpha in order to generate conversation around a potential "fifth mode of transportation" as an alternative to current high-speed rail technologies. This case study analyzes the implications of implementing the Hyperloop along the 120-mile Phoenix-Tucson route in terms of the State's geographic, economic, political, and environmental advantages for the Hyperloop design. This case study was not meant to investigate the engineering aspects of an untested technology, but rather to generate conversation and elicit enthusiasm in the State of Arizona in order to bring the project in-house. Through comparison of the California context of the Hyperloop and other megaregions this report proposes that given Arizona's solar power production potential, short, flat, undeveloped route, explosive population growth, urban density distribution, recognized need for HSR, and strong research institutions make it the ideal site and premiere candidate for initial Hyperloop testing and construction.
ContributorsMartin, Sean Joseph (Author) / Martin, Pasqualetti (Thesis director) / Basile, George (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / W. P. Carey School of Business (Contributor)
Created2014-05
ContributorsFisher, Caleb (Author) / Lee, Hyunglae (Thesis director) / Olivas, Alyssa (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2023-05
ContributorsFisher, Caleb (Author) / Lee, Hyunglae (Thesis director) / Olivas, Alyssa (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2023-05
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Description

X-ray phase contrast imaging (XPCI) is a novel imaging method that utilizes phase information of X-rays in order to produce images. XPCI allows for highly resolved features that traditional X-ray imaging modalities cannot discern. The objective of this experiment was to model initial simulations predicting the output signal of the

X-ray phase contrast imaging (XPCI) is a novel imaging method that utilizes phase information of X-rays in order to produce images. XPCI allows for highly resolved features that traditional X-ray imaging modalities cannot discern. The objective of this experiment was to model initial simulations predicting the output signal of the future compact x-ray free electron laser (CXFEL) XPCI source. The signal was reported in tonal values (“counts”), where MATLAB and MATLAB App Designer were the computing environments used to develop the simulations. The experimental setup’s components included a yttrium aluminum garnet (YAG) scintillating screen, mirror, and Mako G-507C camera with a Sony IMX264 sensor. The main function of the setup was to aim the X-rays at the YAG screen, then measure its scintillation through the photons emitted that hit the camera sensor. The resulting quantity used to assess the signal strength was tonal values (“counts”) per pixel on the sensor. Data for X-ray transmission through water, air, and polyimide was sourced from The Center for X-ray Optics’s simulations website, after which the data was interpolated and referenced in MATLAB. Matrices were an integral part of the saturation calculations; field-of-view (FOV), magnification and photon energies were also necessary. All the calculations were compiled into a graphical user interface (GUI) using App Designer. The code used to build this GUI can be used as a template for later, more complex GUIs and is a great starting point for future work in XPCI research at CXFEL.

ContributorsDela Rosa, Trixia (Author) / Graves, William (Thesis director) / King, Dakota (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2022-05