Dark radiation as a probe for phase transition in the early universe

Kavli Affiliate: Lijing Shao | First 5 Authors: Zihang Wang, Lijing Shao, , , | Summary: The cosmological constant is not necessarily small in the early universe. If a scalar field obtains a vacuum expectation value after a phase transition (PT), a possibly large cosmological constant could present before PT. The early cosmological constant (ECC) […]


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Free-Floating Planets, the Einstein Desert, and ‘Oumuamua

Kavli Affiliate: Subo Dong | First 5 Authors: Andrew Gould, Youn Kil Jung, Kyu-Ha Hwang, Subo Dong, Michael D. Albrow | Summary: We complete the survey for finite-source/point-lens (FSPL) giant-source events in 2016-2019 KMTNet microlensing data. The 30 FSPL events show a clear gap in Einstein radius, $9,mu{rm as}<theta_{rm E} <26,mu{rm as}$, which is consistent […]


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Time Evolution in Quantum Cosmology

Kavli Affiliate: Tom Melia | First 5 Authors: Anne-Katherine Burns, David E. Kaplan, Tom Melia, Surjeet Rajendran, | Summary: The quantum description of time evolution in non-linear gravitational systems such as cosmological space-times is not well understood. We show, in the simplified setting of mini-superspace, that time evolution of this system can be obtained using […]


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Time Evolution in Quantum Cosmology

Kavli Affiliate: Tom Melia | First 5 Authors: Anne-Katherine Burns, David E. Kaplan, Tom Melia, Surjeet Rajendran, | Summary: The quantum description of time evolution in non-linear gravitational systems such as cosmological space-times is not well understood. We show, in the simplified setting of mini-superspace, that time evolution of this system can be obtained using […]


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Pareto-optimal clustering with the primal deterministic information bottleneck

Kavli Affiliate: Max Tegmark | First 5 Authors: Andrew K. Tan, Max Tegmark, Isaac L. Chuang, , | Summary: At the heart of both lossy compression and clustering is a trade-off between the fidelity and size of the learned representation. Our goal is to map out and study the Pareto frontier that quantifies this trade-off. […]


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Predicting LyC emission of galaxies using their physical and Ly$α$ emission properties

Kavli Affiliate: Martin Haehnelt | First 5 Authors: Moupiya Maji, Anne Verhamme, Joakim Rosdahl, Thibault Garel, Jeremy Blaizot | Summary: The primary difficulty in understanding the sources and processes that powered cosmic reionization is that it is not possible to directly probe the ionizing Lyman Continuum (LyC) radiation at that epoch as those photons have […]


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Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential

Kavli Affiliate: Katrin Heitmann | First 5 Authors: Jonathan A. Blazek, Doug Clowe, Thomas E. Collett, Ian P. Dell’Antonio, Mark Dickinson | Summary: A new generation of powerful dark energy experiments will open new vistas for cosmology in the next decade. However, these projects cannot reach their utmost potential without data from other telescopes. This […]


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Surrogate model for gravitational wave signals from non-spinning, comparable- to large-mass-ratio black hole binaries built on black hole perturbation theory waveforms calibrated to numerical relativity

Kavli Affiliate: Scott A. Hughes | First 5 Authors: Tousif Islam, Scott E. Field, Scott A. Hughes, Gaurav Khanna, Vijay Varma | Summary: We present a reduced-order surrogate model of gravitational waveforms from non-spinning binary black hole systems with comparable to large mass-ratio configurations. This surrogate model, texttt{BHPTNRSur1dq1e4}, is trained on waveform data generated by […]


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Testing multiflavored ULDM models with SPARC

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Lauren Street, Nickolay Y. Gnedin, L. C. R. Wijewardhana, , | Summary: We perform maximum likelihood estimates (MLEs) for single and double flavor ultralight dark matter (ULDM) models using the Spitzer Photometry and Accurate Rotation Curves (SPARC) database. These estimates are compared to MLEs for several […]


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Experimental quantum adversarial learning with programmable superconducting qubits

Kavli Affiliate: Ke Wang | First 5 Authors: Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang | Summary: Quantum computing promises to enhance machine learning and artificial intelligence. Different quantum algorithms have been proposed to improve a wide spectrum of machine learning tasks. Yet, recent theoretical works show that, similar to traditional classifiers […]


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