Results 41 to 50 of about 60,808,388 (219)
A talus rock glacier in Nantlle Valley, North Wales
ABSTRACT Landforms comprising mixtures of fine and coarse sediment and deposited during late glacial times are ubiquitous in the British mountains. In many cases, their interpretation has often proved contentious; as a result, the non‐generic term discrete debris accumulations (DDA) has been used to describe them and, over the last 50 years, some have ...
Stephan Harrison, Ed Anderson
wiley +1 more source
New constraints on the postglacial evolution of Lago Maggiore, Northern Italy
ABSTRACT Lago Maggiore is situated in an overdeepened valley reach at the southern margin of the European Alps, and its thick sediment infill allows the reconstruction of the postglacial valley and lake evolution. We study here the sedimentary succession in the lower Ossola Valley, which is infilled by ~500 m of deposits. In a marginal position, a core
Lukas Gegg +9 more
wiley +1 more source
We perform the first joint analysis of galaxy clustering (GC) and the kinetic Sunyaev–Zel’dovich (kSZ) effect to simultaneously constrain cosmological and astrophysical parameters in this work, utilizing a combination of an Atacama Cosmology Telescope ...
Shaohong Li, Yi Zheng
doaj +1 more source
Bayesian Deep Learning for Large Scale Structure
Modern machine learning methods based on high-dimensional Bayesian inference can complement observations and play an important role in large scale structure cosmology.
Slav, Shai
core
Constraints on alternative cosmological models from clustering and redshift-space distortions [PDF]
In this Thesis I have exploited the most recent observational data from CMB, BAO and growth rate of LSS as well as N-body simulations of modified gravity, to investigate the spatial properties of the large scale structure of Universe by constraining ...
Garcia Farieta, Jorge Enrique <1989> +1 more
core +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Cosmology from Point Clouds with Dark Matter Halos from the Quijote Simulations
We train a novel deep learning architecture to perform likelihood-free inference on the value of the cosmological parameters from halo catalogs of the Quijote N -body simulations.
Atrideb Chatterjee +1 more
doaj +1 more source
Large-scale filamentary structure of the Universe [PDF]
Using large-scale structure as a probe of cosmology and structure formation has become increasingly popular with the current and upcoming large deep surveys. Guided by numerical simulations and theoretical prediction, analysis of large-scale structure
Xia, Qianli
core +1 more source
Spatial Statistics for Screening Molecular Structures
Deep architectures for materials discovery demand vast training data and obscure the structure‐property link. This review shows how spatial statistics offer a physically grounded alternative: voxelized fields and two‐point correlations, compressed by principal component analysis, yield convex, interpretable descriptors. Lean surrogates then reach sub‐2%
Pranoy Ray, Surya R. Kalidindi
wiley +1 more source
The dynamics of cosmological scenarios inspired by quantum gravity [PDF]
PhDIn this thesis we study the dynamics of cosmological scenarios inspired by quantum gravity. Part I investigates novel features of the semi-classical regime of homogeneous and isotropic loop quantum cosmology.
Mulryne, David James
core +2 more sources

