activity
20172021
most citedEnhancing Gravitational-Wave Science with Machine Learning

170 citations · 729 across the 12 of their papers we have counts for

collaborators

12 papers

astro-ph.IM2021★ 3 cited

Using Evolutionary Algorithms to Design Antennas with Greater Sensitivity to Ultra High Energy Neutrinos

J. Rolla, A. Machtay, A. Patton +11

The Genetically Evolved NEutrino Telescopes for Improved Sensitivity, or GENETIS, project seeks to optimize detectors in physics for science outcomes in high dimensional parameter…

physics.optics2021

Luminescence from ZAIS quantum dots: radiative or nonradiative

Yasaman Moradi, Rene Zeto, Andrea M. Armani

Quantum dots have found applications across the semiconductor and biotechnology industries, improving energy efficiency, color purity, and imaging capability. However, the standard…

gr-qc2020★ 71 cited

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369

Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…

astro-ph.IM2020

Evolving Antennas for Ultra-High Energy Neutrino Detection

Julie Rolla, Amy Connolly, Kai Staats +16

Evolutionary algorithms borrow from biology the concepts of mutation and selection in order to evolve optimized solutions to known problems. The GENETIS collaboration is developing…

physics.pop-ph2020★ 2 cited

World ships: Feasibility and Rationale

Andreas M. Hein, Cameron Smith, Frédéric Marin +1

World ships are hypothetical, large, self-contained spacecraft for crewed interstellar travel, taking centuries to reach other stars. Due to their crewed nature, size, and long tri…

astro-ph.HE2020★ 170 cited

Enhancing Gravitational-Wave Science with Machine Learning

Elena Cuoco, Jade Powell, Marco Cavaglià +23

Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. We review applications of machine learning techniques for the analysis of grou…