activity
20142025
most citedProbabilistic Random Forest: A machine learning algorithm for noisy datasets

196 citations · 1.5k across the 25 of their papers we have counts for

collaborators

25 papers

astro-ph.GA2025

Oxyster: A Circumgalactic Low-ionization Oxygen Nebula next to a Starburst Galaxy at

Pengjun Lu, Mingyu Li, Dalya Baron +3

Extended emission line nebulae around galaxies or active galactic nuclei (AGNs) provide a unique window to investigate the galactic ecosystem through the circumgalactic medium (CGM…

astro-ph.GA2024

Not so windy after all: MUSE disentangles AGN-driven winds from merger-induced flows in rapidly-transitioning galaxies

Dalya Baron, Hagai Netzer, Dieter Lutz +2

Post-starburst galaxies are believed to be in a rapid transition between major merger starbursts and quiescent ellipticals, where AGN feedback is suggested as one of the processes…

astro-ph.GA2022★ 19 cited

Star formation and molecular gas properties of post-starburst galaxies

Dalya Baron, Hagai Netzer, K. Decker French +3

Post-starburst galaxies are believed to be in a rapid transition between major merger starbursts and quiescent ellipticals. Their optical spectrum is dominated by A-type stars, sug…

astro-ph.GA2021★ 39 cited

Multi-phase outflows in post starburst E+A galaxies -- I. General sample properties and the prevalence of obscured starbursts

Dalya Baron, Hagai Netzer, Dieter Lutz +2

E+A galaxies are believed to be a short phase connecting major merger ULIRGs with red and dead elliptical galaxies. Their optical spectrum suggests a massive starburst that was que…

astro-ph.GA2020★ 74 cited

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…