2 papers
astro-ph.GA2021
Catalog-free modeling of galaxy types in deep images: Massive dimensional reduction with neural networks
Florian Livet, Tom Charnock, Damien Le Borgne +1
Current models of galaxy evolution are constrained by the analysis of catalogs containing the flux and size of galaxies extracted from multiband deep fields carrying inevitable obs…
astro-ph.CO2016
Multi-Dimensional Effective Field Theory Analysis for Direct Detection of Dark Matter
H. E. Rogers, D. G. Cerdeno, P. Cushman +2
The scattering of dark matter particles off nuclei in direct detection experiments can be described in terms of a multidimensional effective field theory (EFT). A new systematic an…