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Preliminary Exam

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Events During the Week of August 18th through August 25th, 2024

Monday, August 19th, 2024

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Tuesday, August 20th, 2024

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Wednesday, August 21st, 2024

Characterizing the Diffuse Astrophysical Neutrino Flux from the Galactic Plane using IceCube Data
Time: 2:00 pm - 4:00 pm
Place: 5280 Chamberlin Hall
Speaker: Jesse Osborn, Physics PhD Graduate Student
Abstract: IceCube has detected high energy neutrinos from the galactic plane of the Milky Way galaxy at a significance of 4.5 sigma, establishing evidence for the Milky Way as a source of neutrinos. Now, I investigate the extent to which we can characterize the diffuse flux from the Milky way using a combination of IceCube datasets and present my plan for the analysis. I will also discuss my work developing a new event selection for the real-time neutrino alerts that IceCube sends out to the multi-messenger astrophysics community.
Host: Albrecht Karle
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Thursday, August 22nd, 2024

Line Intensity Mapping: A Novel Technique to Measure Large Scale Structure and Galaxy Evolution
Time: 2:00 pm - 4:00 pm
Place: B343, Sterling Hall
Speaker: Sam Kramer, Physics PhD Graduate Student
Abstract: Understanding the formation and development of the Universe's large scale structure (LSS) is the primary goal of cosmology. The earliest stage of the Universe has been well-measured via the cosmic microwave background, and traditional, large-spectrum surveys have mapped the most recent epochs. Line intensity mapping (LIM) is a novel technique that seeks to fill in the billions of years of evolution in between. LIM experiments record the atomic/molecular transition line emissions of common galactic constituents from many galaxies at once, requiring less integration time and lower resolutions to efficiently map LSS over a broad range of redshifts. The EXperiment for Cryogenic Large-Aperture Intensity Mapping (EXCLAIM) is a LIM pathfinding mission that seeks to measure the [CII] emission line of ionized carbon at redshifts 2.5 to 3.5, corresponding to a period in the Universe with the highest rates of new star formation. [CII] is believed to be a tracer of both star formation and the large scale structure of the universe, but current empirical models for this relationship vary across orders of magnitude. Using simulations and existing survey data, we can develop cross-correlation techniques like the cross power spectrum, stacking, and the conditional voxel intensity distribution to predict [CII] detection at high SNRs and constrain the [CII] emission models with EXCLAIM.
Host: Peter Timbie
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Friday, August 23rd, 2024

No events scheduled