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Megan Averill30/08/2024, 13:00
Observations of gravitational waves emitted from compact binary mergers and associated kilonovae show promise for estimating the Hubble Constant. We are able to take data gathered from these kilonova events and implement them into different methods to calibrate a precise method of estimation. The Kernel Density Estimation (KDE) method is founded in Bayes' Theorem. This method utilizes...
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Alex Migala30/08/2024, 13:20
While there are several experiments searching for neutrinoless double beta decay $(0\nu\beta\beta)$, a rare decay phenomenon, we focus our attention on the KamLAND-Zen experiment, which is a monolithic liquid xenon scintillator detector. Because the events that occur in the detector are indirectly observed, a reconstruction of the event must be done, which is a non-trivial process and is done...
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Mariel Peczak30/08/2024, 13:40
As a result of the need to improve searches for new particles and measure particle properties at CERN, the LHC is undergoing a high-luminosity upgrade which will provide a dataset ten times larger than the one currently available. To avoid complications in particle reconstruction as a result of the increased number of simultaneous interactions (pileup) per collision, a radiation-hard...
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Seiya Tsukamoto30/08/2024, 14:00
The detection of gravitational waves with the Laser Interferometer Gravitational Wave Observatory (LIGO) has provided the tools to probe the furthest reaches of the universe. A rapid follow up to compact binary coalescence (CBC) events and their electromagnetic counterparts is crucial to find short lived transients. After a gravitational wave (GW) detection another particular challenge is...
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Sonata Simonaitis-boyd (UC San Diego)30/08/2024, 14:20
0vbb decay is a Beyond the Standard Model process that, if discovered, could prove the Majorana nature of neutrinos---that they are their own antiparticles. The Majorana Demonstrator (MJD) is one experiment searching for 0vbb decay using semiconductor detectors, however the nature of the waveform data produced by the detectors is such that they are unlabelled, and producing ground-truth labels...
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Dmitri Demler, Jason Weitz30/08/2024, 14:40
We develop an automated pipeline to streamline neural architecture codesign for physics applications. Our method employs neural architecture search to enhance these models, including hardware costs, leading to the discovery of more hardware-efficient neural architectures. We exceed performance and show further speedup through model compression techniques such as quantization-aware-training and...
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