Welcome to Doris Stoppacher's personal webpage

Personal research and project web page

View the Project on GitHub

Projects & Publications

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About: This page provides an overview of my current and past research projects, along with a complete list of my publications.
The Whirlpool Galaxy
The Whirlpool Galaxy, a classic spiral galaxy located in the Canes Venatici constellation, and its companion NGC 5195 (NASA and European Space Agency)

Projects

Hidden Figures in the Sky

Low-surface-brightness galaxies in cosmological simulations

This project explores the formation and evolution of low-surface-brightness galaxies (LSBGs / LSBs). This fascinating yet poorly understood population remains underrepresented in the literature despite its potential to reshape our understanding of galaxy formation. Using cosmological hydrodynamical simulations, I investigate how these faint galaxies form and evolve, and develop new methods to identify and characterise them in simulated data, connecting their observable properties to their underlying dark matter haloes.

In Stoppacher et al. (2025b), we investigated the evolutionary pathways of LSBs and found that their assembly histories are considerably more complex than previously assumed. We introduced a novel diagnostic based on the radius at which the stellar circular velocity reaches its maximum, Rvmax, which has not previously been used in the literature to characterise LSB galaxies. This provides a unique probe of the evolution of their inner halo structure across cosmic time.
The figure reveals a clear divergence in Rvmax at z~1.5 (red arrow) between LSBs (black dashed line) and high-surface-brightness galaxies (HSBs; orange solid line with white dots), marking it the strongest separation between the evolutionary pathways of the two populations identified in our analysis.
Figure adapted from Stoppacher et al. (2025b).

Evolution of the radius at maximum circular velocity
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The MultiDark-Galaxies

Modelled galaxies and their evolution on the largest-scale

The MultiDark-Galaxies project provides a comprehensive view of galaxy formation within the cosmic web by combining large cosmological simulations with semi-analytical models of galaxy evolution (SAM). We developed and released publicly available galaxy catalogues and analysis tools, enabling researchers to explore the connection between galaxies and their dark matter environments across cosmic time.

The MultiDark-Galaxies are feature-rich catalogues generated from three independent SAMs applied to the 1 h-1Gpc MultiDark Planck 2 dark matter-only simulation Klypin et al. 2016. These catalogues remain among the largest publicly available SAM datasets.
We provide scientifically robust, reproducible, and publicly accessible galaxy catalogues, along with technical and scientific support to users, helping maintain the long-term value and usability of these community data products via the platforms Skies&Universes and COSMOSIMS.
Figure adapted from Knebe, Stopacher, Prada et al. (2018).

Stellar mass function of the MultiDark-Galaxies a z=0.1
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A Semi-Analytical Perspective

Exploring the origin and evolution of the most massive and passive galaxies in the Universe.

By combining semi-analytical galaxy formation models with large cosmological simulations, this research investigates how galaxies grow, quench, and become embedded in increasingly massive dark matter environments. The project offers a complementary perspective on galaxy evolution, linking the observable properties of massive galaxies to their underlying formation histories and halo assembly.

This project investigates the redshift evolution and mass assembly histories of luminous and massive galaxies, with a particular focus on how their evolution depends on environment. Using semi-analytical models, clustering statistics, and the galaxy–halo connection, we trace the evolution of distinct galaxy sub-populations selected at intermediate redshift.
By placing these galaxies within the cosmic web, we explore how the large-scale environment shapes their properties, assembly histories, and evolutionary pathways across cosmic time.
The figure shows the halo mass assembly history (upper panel) and corresponding growth history (lower panel). Massive galaxies are not forming a unified population but are highly diverse within them. Figure adapted from Stoppacher et al. (2025a).

Halo mass assembly histories on various samples of massive galaxies
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FOGLESS + The Machine

Understanding how galaxies are shaped by their cosmic environment

The Formation Of Galaxies in the LargE Scale Structure (FOGLESS) is a Spanish research collaboration bringing together researchers from multiple universities to bridge computational astrophysics, cosmology, and observations. Within this framework, I designed GalaxyShapeNet, a novel neural-network framework for measuring the three-dimensional shapes of galaxy clusters from their observed galaxy populations. By connecting machine learning with observational data and cosmological simulations, this work develops new tools to probe the structure of the Universe and the role of the cosmic environment in galaxy evolution.

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"The Extremes" of galaxy formation and evolution

From Bright Cluster Galaxies to Low-Surface-Brightness Galaxies

What determines whether a galaxy becomes one of the most massive and dominant systems in the Universe or remains faint, diffuse, and almost invisible? The Extremes brings together two seemingly opposite galaxy populations: Brightest Cluster Galaxies (BCGs) and low-surface-brightness galaxies (LSBGs). By tracing their assembly histories from the early Universe to today, we investigate how the initial conditions and growth of their dark matter haloes steer galaxies toward radically different evolutionary paths. Focusing on the critical epochs at high redshift, when the foundations of present-day galaxies are established, this unified framework aims to uncover the evolutionary turning points that shape the most extreme galaxies in the Universe and to provide new predictions for finding their progenitors in the distant cosmos.

Malin 1 by Boissier/A&A/ESO/CFHT
The galactic core of Messier 87 as imaged by the Hubble Space Telescope
Left or upper: Malin 1, the most famous low-surface-brightness galaxy, is an extended, diffuse spiral galaxy and one of the largest galaxies known to date (image credit: Boissier/A&A/ESO/CFHT). Right or lower: The galactic core of Messier 87, a massive, luminous elliptical galaxy, imaged by the Hubble Space Telescope.

Publications

  • The emergence of the faint nature of low surface brightness galaxies in the IllustrisTNG simulation
    Pérez-Montaño, Luis Enrique; Cervantes Sodi, Bernardo; Rodríguez-Goméz, Vicente; Stoppacher, Doris; Cao, Tian-Wen
    MNRAS, 2026 — Link to paper
  • The Journey to Dominance: How Brightest Cluster Galaxies Evolve Differently from Other Massive Galaxies
    Vicentin, Marcelo C.; Strauss, Michael A.; Sodré, Jr., Laerte; Yates, Robert M.; Araya-Araya, Pablo; Stoppacher, Doris
    ApJ, 2026 — Link to paper
  • Hidden figures in the sky: Evolution of low-surface-brightness galaxies from a hydrodynamical perspective
    Stoppacher, D.; Tissera, P.; Rosas-Guevara, Y.; Galaz, G.; Oñorbe, J.
    A&A, 2025 — Link to paper
  • A semi-analytical perspective on massive red galaxies: I. Assembly history, environment, and redshift evolution
    Stoppacher, D.; Montero-Dorta, A. D.; Artale, M. C.; Knebe, A.; Padilla, N.; Benson, A. J.; Behrens, C.
    A&A, 2025 — Link to paper
  • Characterizing the ELG luminosity functions in the nearby Universe
    Favole, G.; González-Pérez, V.; Ascasibar, Y.; Corcho-Caballero, P.; Montero-Dorta, A. D.; Benson, A. J.; Comparat, J.; Cora, S. A.; Croton, D.; Guo, H.; Izquierdo-Villalba, D.; Knebe, A.; Orsi, Á.; Stoppacher, D.; Vega-Martínez, C. A.
    A&A, 2024 — Link to paper
  • [OII] emitters in MultiDark-Galaxies and DEEP2
    Favole, G.; González-Pérez, V.; Stoppacher, D.; Orsi, Á.; Comparat, J.; Cora, S. A.; Vega-Martínez, C. A.; Stevens, A. R. H.; Maraston, C.; Croton, D.; Knebe, A.; Benson, A. J.; Montero-Dorta, A. D.; Padilla, N.; Prada, F.; Thomas, D.
    MNRAS, 2020 — Link to paper
  • El observatorio astronómico de la UAM
    Castrillo, A.; Zamora, S.; Rodríguez-Baras, M.; Cortés-Contreras, M.; Rebollido, I.; Corcho, P.; Millán, I.; Stoppacher, D.; Mérida, R. M.; Díaz, A. I.; Ascasibar, Y.
    Conference Proceeding, 2020 — Link to paper
  • Astro en casa
    Cortés-Contreras, M.; Castrillo, A.; Rebollido, I.; Rodríguez-Baras, M.; Stoppacher, D.; Zamora-Arenal, S.
    Conference Proceeding, 2020 — Link to paper
  • A semi-analytical perspective on massive galaxies at z~0.55
    Stoppacher, D.; Prada, F.; Montero-Dorta, A. D.; Rodríguez-Torres, S.; Knebe, A.; Favole, G.; Cui, W.; Benson, A. J.; Behrens, C.; Klypin, A. A.
    MNRAS, 2019 — Link to paper
  • The Three Hundred project: a large catalogue of theoretically modelled galaxy clusters for cosmological and astrophysical applications
    Cui, Weiguang; Knebe, Alexander; Yepes, Gustavo; Pearce, Frazer; Power, Chris; Dave, Romeel; Arth, Alexander; Borgani, Stefano; Dolag, Klaus; Elahi, Pascal; Mostoghiu, Robert; Murante, Giuseppe; Rasia, Elena; Stoppacher, Doris; Vega-Ferrero, Jesús; Wang, Yang; Yang, Xiaohu; Benson, Andrew; Cora, Sofía A.; Croton, Darren J.; Sinha, Manodeep; Stevens, Adam R. H.; Vega-Martínez, Cristian A.; Arthur, Jake; Baldi, Anna S.; Cañas, Rodrigo; Cialone, Giammarco; Cunnama, Daniel; De Petris, Marco; Durando, Giacomo; Ettori, Stefano; Gottlöber, Stefan; Nuza, Sebastián E.; Old, Lyndsay J.; Pilipenko, Sergey; Sorce, Jenny G.; Welker, Charlotte
    MNRAS, 2018 — Link to paper
  • MULTIDARK-GALAXIES: data release and first results
    Knebe, Alexander; Stoppacher, D.; Prada, Francisco; Behrens, Christoph; Benson, Andrew; Cora, Sofia A.; Croton, Darren J.; Padilla, Nelson D.; Ruiz, Andrés N.; Sinha, Manodeep; Stevens, Adam R. H.; Vega-Martínez, Cristian A.; Behroozi, Peter; Gonzalez-Perez, Violeta; Gottlöber, Stefan; Klypin, Anatoly A.; Yepes, Gustavo; Enke, Harry; Libeskind, Noam I.; Riebe, Kristin; Steinmetz, Matthias
    MNRAS, 2018 — Link to paper

Once you took the first step, anything was possible.
  • — Katherine Johnson, NASA Mathematician
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