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 […]
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 […]
Kavli Affiliate: Michael D. Gladders | First 5 Authors: Kate Napier, Keren Sharon, Håkon 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, […]
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 […]
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 […]
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 […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Robert M. Gray, Mingchen Liu, Selina Zhou, Arkadev Roy, Luis Ledezma | Summary: Optical molecular sensing is one of the most promising techniques for a wide range of applications, from fundamental studies to medical and environmental analysis. In the optical spectrum, the mid-infrared is particularly important for […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Robert M. Gray, Mingchen Liu, Selina Zhou, Arkadev Roy, Luis Ledezma | Summary: Optical solitons have long been of interest both from a fundamental perspective and because of their application potential. Both cubic (Kerr) and quadratic nonlinearities can lead to soliton formation, but quadratic solitons can practically […]
Kavli Affiliate: Juan I. Collar | First 5 Authors: Sebastian Baum, Patrick Stengel, Natsue Abe, Javier F. Acevedo, Gabriela R. Araujo | Summary: Minerals are solid state nuclear track detectors – nuclear recoils in a mineral leave latent damage to the crystal structure. Depending on the mineral and its temperature, the damage features are retained […]