activity
20222025
most citedCOSMOS2020: Manifold Learning to Estimate Physical Parameters in Large Galaxy Surveys

29 citations · 55 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2025

Dual-component stellar assembly histories in local elliptical galaxies via MUSE

Keerthana Jegatheesan, Evelyn J. Johnston, Boris Häußler +3

Elliptical galaxies often exhibit complex assembly histories, and are presumed to typically form through a combination of rapid, early star formation and subsequent accretion of ma…

astro-ph.GA2024

BUDDI-MaNGA III: The mass-assembly histories of bulges and discs of spiral galaxies

Keerthana Jegatheesan, Evelyn J. Johnston, Boris Häußler +1

The many unique properties of galaxies are shaped by physical processes that affect different components of the galaxy - like the bulges and discs - in different ways, and leave ch…

astro-ph.GA2022★ 19 cited

BUDDI-MaNGA II: The Star-Formation Histories of Bulges and Discs of S0s

Evelyn J. Johnston, Boris Häußler, Keerthana Jegatheesan +7

Many processes have been proposed to explain the quenching of star formation in spiral galaxies and their transformation into S0s. These processes affect the bulge and disc in diff…

astro-ph.GA2022★ 7 cited

BUDDI-MaNGA I: A statistical sample of cleanly decomposed bulge and disc spectra

Evelyn J. Johnston, Boris Häußler, Keerthana Jegatheesan

Many galaxies display clear bulges and discs, and understanding how these components form is a vital step towards understanding how the galaxy has evolved into what we see today. T…

astro-ph.GA2022★ 29 cited

COSMOS2020: Manifold Learning to Estimate Physical Parameters in Large Galaxy Surveys

I. Davidzon, K. Jegatheesan, O. Ilbert +16

We present a novel method to estimate galaxy physical properties from spectral energy distributions (SEDs), alternate to template fitting techniques and based on self-organizing ma…