activity
20162025
most citedMachine Learning in Astronomy: a practical overview

137 citations · 618 across the 11 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

astro-ph.GA2020

AGN-driven outflows and the AGN feedback efficiency in young radio galaxies

F. Santoro, C. Tadhunter, D. Baron +2

Active galactic nuclei (AGN) feedback operated by the expansion of radio jets can play a crucial role in driving gaseous outflows on galaxy scales. Galaxies hosting young radio AGN…

physics.geo-ph2020★ 60 cited

Sequencing seismograms: A panoptic view of scattering in the core-mantle boundary region

Doyeon Kim, Vedran Lekic, Brice Ménard +2

Scattering of seismic waves can reveal subsurface structures but usually in a piecemeal way focused on specific target areas. We used a manifold learning algorithm called "the Sequ…

cs.LG2020

Extracting the main trend in a dataset: the Sequencer algorithm

Dalya Baron, Brice Ménard

Scientists aim to extract simplicity from observations of the complex world. An important component of this process is the exploration of data in search of trends. In practice, how…

astro-ph.GA2020★ 38 cited

Multi-phase outflows in post starburst E+A galaxies -- II. A direct connection between the neutral and ionized outflow phases

Dalya Baron, Hagai Netzer, Ric I. Davies +1

Post starburst E+A galaxies are systems that hosted a powerful starburst that was quenched abruptly. Simulations suggest that these systems provide the missing link between major m…

astro-ph.GA2020

Ionized outflows in local luminous AGN: what are the real densities and outflow rates?

R. Davies, D. Baron, T. Shimizu +23

We report on the determination of electron densities, and their impact on the outflow masses and rates, measured in the central few hundred parsecs of 11 local luminous active gala…