activity
20212026
most citedA novel approach to optimize the regularization and evaluation of dynamical models using a model selection framework

36 citations · 52 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2026

The Stellar IMF and Dark Matter Halo of ESO0286: Constraints from Strong Lensing and Dynamics

Han Wang, Jens Thomas, Mathias Lipka +4

The internal mass structure of elliptical galaxies offers critical insights into galaxy formation, yet disentangling stellar mass from dark matter and determining the stellar initi…

astro-ph.GA2024

The VIRUS-dE Survey II: Cuspy and round halos in dwarf ellipticals -- A result of early assembly?

Mathias Lipka, Jens Thomas, Roberto Saglia +3

We analyze the dark matter (DM) halos of a sample of dwarf Ellitpicals (dE) and discuss cosmological and evolutionary implications. Using orbit modeling we recover their density sl…

astro-ph.GA2024

The VIRUS-dE Survey I: Stars in dwarf elliptical galaxies - 3D dynamics and radially resolved stellar initial mass functions

Mathias Lipka, Jens Thomas, Roberto Saglia +9

We analyse the stellar structure of a sample of dwarf ellipticals (dE) inhabiting various environments within the Virgo cluster. Integral-field observations with a high spectral re…

stat.ME2022★ 16 cited

A simple data-driven method to optimise the penalty strengths of penalised models and its application to non-parametric smoothing

Jens Thomas, Mathias Lipka

Information of interest can often only be extracted from data by model fitting. When the functional form of such a model can not be deduced from first principles, one has to make a…

astro-ph.GA2021★ 36 cited

A novel approach to optimize the regularization and evaluation of dynamical models using a model selection framework

Mathias Lipka, Jens Thomas

Orbit superposition models are a non-parametric dynamical modelling technique to determine the mass of a galaxy's central supermassive black hole (SMBH), its stars, or its dark-mat…