3.4k citations · 9.2k across the 45 of their papers we have counts for
49 papers
An estimate of the stochastic gravitational wave background from the MassiveBlackII simulation
Bailey Sykes, Hannah Middleton, Andrew Melatos +3
A population of super-massive black hole binaries is expected to generate a stochastic gravitational wave background (SGWB) in the pulsar timing array (PTA) frequency range of $10^…
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
Yueying Ni, Yin Li, Patrick Lachance +4
In this work, we expand and test the capabilities of our recently developed super-resolution (SR) model to generate high-resolution (HR) realizations of the full phase-space matter…
A new multilayer network construction via Tensor learning
Giuseppe Brandi, T. Di Matteo
Multilayer networks proved to be suitable in extracting and providing dependency information of different complex systems. The construction of these networks is difficult and is mo…
Predicting Multidimensional Data via Tensor Learning
Giuseppe Brandi, T. Di Matteo
The analysis of multidimensional data is becoming a more and more relevant topic in statistical and machine learning research. Given their complexity, such data objects are usually…
QSO obscuration at high redshift (): Predictions from the BlueTides simulation
Yueying Ni, Tiziana Di Matteo, Roberto Gilli +3
High- AGNs hosted in gas rich galaxies are expected to grow through significantly obscured accretion phases. This may limit or bias their observability. In this work, we use \te…
A new set of cluster driven composite development indicators
Anshul Verma, Orazio Angelini, Tiziana Di Matteo
Composite development indicators used in policy making often subjectively aggregate a restricted set of indicators. We show, using dimensionality reduction techniques, including Pr…