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 […]


Continue.. 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

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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The binary black hole spin distribution likely broadens with redshift

Kavli Affiliate: Salvatore Vitale | First 5 Authors: Sylvia Biscoveanu, Thomas A. Callister, Carl-Johan Haster, Ken K. Y. Ng, Salvatore Vitale | Summary: The population-level distributions of the masses, spins, and redshifts of binary black holes (BBHs) observed using gravitational waves can shed light on how these systems form and evolve. Because of the complex […]


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Unsupervised Learning of Accurate Siamese Tracking

Kavli Affiliate: Li Xin Li | First 5 Authors: Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li | Summary: Unsupervised learning has been popular in various computer vision tasks, including visual object tracking. However, prior unsupervised tracking approaches rely heavily on spatial supervision from template-search pairs and are still unable to track objects […]


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The orientations of the binary black holes in GWTC-3

Kavli Affiliate: Salvatore Vitale | First 5 Authors: Salvatore Vitale, Sylvia Biscoveanu, Colm Talbot, , | Summary: It is expected that the orbital planes of gravitational-wave (GW) sources are isotropically distributed. However, both physical and technical factors, such as alternate theories of gravity with birefringence, catalog contamination, and search algorithm limitations, could result in inferring […]


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Spatially resolved molecular interstellar medium in a $z=6.6$ quasar host galaxy

Kavli Affiliate: Ran Wang | First 5 Authors: Jianan Li, Bram P. Venemans, Fabian Walter, Roberto Decarli, Ran Wang | Summary: We present high spatial resolution (0.4", 2.2kpc) observations of the CO(6-5), CO(7-6) and [CI] lines and dust continuum emission from the interstellar medium in the host galaxy of the quasar J0305$-$3150 at $z=6.6$. These, […]


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