12 citations · 13 across the 7 of their papers we have counts for
8 papers
Identification of Cosmic Chronometers in the GAMA Survey
Laura J. Hunt, Kevin A. Pimbblet, David M. Benoit
We present a pure sample of 231 massive, passively evolving elliptical galaxies as cosmic chronometer candidates selected from the Galaxy and Mass Assembly (GAMA) survey between $0…
: Symbolic Models to Predict the Evolution of the CDM Nonlinear Power Spectrum
Manvi Chauhan, Daniel J. Farrow, Ariel G. Sánchez +3
We present and , a pair of analytical emulators developed to predict the nonlinear power spectrum based on its linear counterpart and several esse…
Blazars as a Potential Origin of the KM3-230213A Event
The KM3NeT Collaboration
The KM3NeT collaboration has reported the detection of the highest energy neutrino event observed to date. The energy of the event is of the order of 220 PeV hinting towards a neut…
Molecular Mobility of Extraterrestrial Ices: Surface Diffusion in Astrochemistry and Planetary Science
N. F. W. Ligterink, C. Walsh, H. M. Cuppen +12
Molecules are ubiquitous in space. They are necessary component in the creation of habitable planetary systems and can provide the basic building blocks of life. Solid-state proces…
Hybrid approach predicts a lower binding energy for benzene on water ice
Victoria H. J. Clark, David M. Benoit, Marie Van de Sande +1
In this paper we provide a highly accurate value for the binding energy of benzene to proton-ordered crystalline water ice (XIh), as a model for interstellar ices. We compare our c…
Modelling Triatomic Biosignatures: Ozone and Isotopomers
Thomas M. Cross, David M. Benoit, Marco Pignatari +1
In this work we present a new approach to produce spectroscopic constants and model first-principles synthetic spectra for all molecules of astrophysical interest. We have generali…
Predicting the Ages of Galaxies with an Artificial Neural Network
Laura. J. Hunt, Kevin. A. Pimbblet, David. M. Benoit
We present a new method of predicting the ages of galaxies using a machine learning (ML) algorithm with the goal of providing an alternative to traditional methods. We aim to match…
The Power Board of the KM3NeT Digital Optical Module: design, upgrade, and production
S. Aiello, A. Albert, S. Alves Garre +281
The KM3NeT Collaboration is building an underwater neutrino observatory at the bottom of the Mediterranean Sea consisting of two neutrino telescopes, both composed of a three-dimen…