137 citations · 559 across the 7 of their papers we have counts for
7 papers
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…
Exploring the Diversity of Type 1 Active Galactic Nuclei Identified in SDSS-IV/SPIDERS
Julien Wolf, Mara Salvato, Damien Coffey +8
We present a statistical analysis of the optical properties of an X-ray selected Type 1 AGN sample, using high signal to-noise ratio () spectra of the counterparts of the R…
Machine Learning in Astronomy: a practical overview
Dalya Baron
Astronomy is experiencing a rapid growth in data size and complexity. This change fosters the development of data-driven science as a useful companion to the common model-driven da…
Discovering AGN-driven winds through their infrared emission: II. Mass outflow rate and energetics
Dalya Baron, Hagai Netzer
The global influence of AGN-driven outflows remains uncertain, due to a lack of large samples with accurately-determined outflow properties. In the second paper of this series, we…
Black hole mass estimation for Active Galactic Nuclei from a new angle
Dalya Baron, Brice Ménard
The scaling relations between supermassive black holes and their host galaxy properties are of fundamental importance in the context black hole-host galaxy co-evolution throughout…
The weirdest SDSS galaxies: results from an outlier detection algorithm
Dalya Baron, Dovi Poznanski
How can we discover objects we did not know existed within the large datasets that now abound in astronomy? We present an outlier detection algorithm that we developed, based on an…