Sidelobe Modeling and Mitigation for a Three Mirror Anastigmat Cosmic Microwave Background Telescope

Kavli Affiliate: Bradford Benson | First 5 Authors: Ian Gullett, Bradford Benson, Robert Besuner, Richard Bihary, John Carlstrom | Summary: Telescopes measuring cosmic microwave background (CMB) polarization on large angular scales require exquisite control of systematic errors to ensure the fidelity of the cosmological results. In particular, far-sidelobe contamination from wide angle scattering is a […]


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Molecular design method based on novel molecular representation and variational auto-encoder

Kavli Affiliate: Wei Gao | First 5 Authors: Li Kai, Li Ning, Zhang Wei, Gao Ming, | Summary: Based on the traditional VAE, a novel neural network model is presented, with the latest molecular representation, SELFIES, to improve the effect of generating new molecules. In this model, multi-layer convolutional network and Fisher information are added […]


Continue.. Molecular design method based on novel molecular representation and variational auto-encoder

Molecular design method based on novel molecular representation and variational auto-encoder

Kavli Affiliate: Wei Gao | First 5 Authors: Li Kai, Li Ning, Zhang Wei, Gao Ming, | Summary: Based on the traditional VAE, a novel neural network model is presented, with the latest molecular representation, SELFIES, to improve the effect of generating new molecules. In this model, multi-layer convolutional network and Fisher information are added […]


Continue.. Molecular design method based on novel molecular representation and variational auto-encoder

Observations of R-Process Stars in the Milky Way and Dwarf Galaxies

Kavli Affiliate: Alexander Ji | First 5 Authors: Anna Frebel, Alexander P. Ji, , , | Summary: This chapter presents an overview of the recent progress on spectroscopic observations of metal-poor stars with r-process element signatures found in the Milky Way’s stellar halo and satellite dwarf galaxies. Major empirical lessons related to the origins of […]


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Improving initialization and evolution accuracy of cosmological neutrino simulations

Kavli Affiliate: Salman Habib | First 5 Authors: James M. Sullivan, J. D. Emberson, Salman Habib, Nicholas Frontiere, | Summary: Neutrino mass constraints are a primary focus of current and future large-scale structure (LSS) surveys. Non-linear LSS models rely heavily on cosmological simulations — the impact of massive neutrinos should therefore be included in these […]


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Modeling the Galaxy Distribution in Clusters using Halo Cores

Kavli Affiliate: Salman Habib | First 5 Authors: Danila Korytov, Esteban Rangel, Lindsey Bleem, Nicholas Frontiere, Salman Habib | Summary: The galaxy distribution in dark matter-dominated halos is expected to approximately trace the details of the underlying dark matter substructure. In this paper we introduce halo `core-tracking’ as a way to efficiently follow the small-scale […]


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Hubble Constant Measurement from Three Large-Separation Quasars Strongly Lensed by Galaxy Clusters

Kavli Affiliate: Michael D. Gladders | First 5 Authors: Kate Napier, Keren Sharon, HÃ¥kon Dahle, Matthew Bayliss, Michael D. Gladders | Summary: Tension between cosmic microwave background-based and distance ladder-based determinations of the Hubble constant ${rm H}_{rm 0}$ motivates pursuit of independent methods that are not subject to the same systematic effects. A promising alternative, […]


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Multi-dimensional wavefront sensing using volumetric meta-optics

Kavli Affiliate: Andrei Faraon | First 5 Authors: Conner Ballew, Gregory Roberts, Andrei Faraon, , | Summary: The ideal imaging system would efficiently capture information about all fundamental properties light: intensity, direction, wavelength, and polarization. Most common imaging systems only map the spatial degrees of freedom of light onto a two dimensional image sensor, with […]


Continue.. Multi-dimensional wavefront sensing using volumetric meta-optics

Multi-dimensional wavefront sensing using volumetric meta-optics

Kavli Affiliate: Andrei Faraon | First 5 Authors: Conner Ballew, Gregory Roberts, Andrei Faraon, , | Summary: The ideal imaging system would efficiently capture information about all fundamental properties light: intensity, direction, wavelength, and polarization. Most common imaging systems only map the spatial degrees of freedom of light onto a two dimensional image sensor, with […]


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Forecasting subcritical cylinder wakes with Fourier Neural Operators

Kavli Affiliate: Morteza Gharib | First 5 Authors: Peter I Renn, Cong Wang, Sahin Lale, Zongyi Li, Anima Anandkumar | Summary: We apply Fourier neural operators (FNOs), a state-of-the-art operator learning technique, to forecast the temporal evolution of experimentally measured velocity fields. FNOs are a recently developed machine learning method capable of approximating solution operators […]


Continue.. Forecasting subcritical cylinder wakes with Fourier Neural Operators