Galaxy formation and evolution

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How cosmological merger histories shape the diversity of stellar haloes

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 510:3 (2022) 4208-4224

Authors:

Martin P Rey, Tjitske K Starkenburg

Abstract:

ABSTRACT We introduce and apply a new approach to probe the response of galactic stellar haloes to the interplay between cosmological merger histories and galaxy formation physics. We perform dark matter-only, zoomed simulations of two Milky Way-mass hosts and make targeted, controlled changes to their cosmological histories using the genetic modification technique. Populating each history’s stellar halo with a semi-empirical, particle tagging approach then enables a controlled study, with all instances converging to the same large-scale structure, dynamical and stellar mass at z = 0 as their reference. These related merger scenarios alone generate an extended spread in stellar halo mass fractions (1.5 dex) comparable to the observed population, with the largest scatter achieved by growing late (z ≤ 1) major mergers that spread out existing stars to create massive, in-situ dominated stellar haloes. Increasing a last major merger at z ∼ 2 brings more accreted stars into the inner regions, resulting in smaller scatter in the outskirts which are predominantly built by subsequent minor events. Exploiting the flexibility of our semi-empirical approach, we show that the diversity of stellar halo masses across scenarios is reduced by allowing shallower slopes in the stellar mass–halo mass relation for dwarf galaxies, while it remains conserved when central stars are born with hotter kinematics across cosmic time. The merger-dependent diversity of stellar haloes thus responds distinctly to assumptions in modelling the central and dwarf galaxies respectively, opening exciting prospects to constrain star formation and feedback at different galactic mass-scales with the coming generation of deep, photometric observatories.
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How cosmological merger histories shape the diversity of stellar haloes

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 510:3 (2022) 4208-4224

Authors:

Martin P Rey, Tjitske K Starkenburg
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Quantifying the poor purity and completeness of morphological samples selected by galaxy colour

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 510:3 (2022) 4126-4133

Authors:

Rebecca J Smethurst, Karen L Masters, Brooke D Simmons, Izzy L Garland, Tobias Géron, Boris Häußler, Sandor Kruk, Chris J Lintott, David O’Ryan, Mike Walmsley
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Rubin-Euclid Derived Data Products: Initial Recommendations

(2022)

Authors:

Leanne P Guy, Jean-Charles Cuillandre, Etienne Bachelet, Manda Banerji, Franz E Bauer, Thomas Collett, Christopher J Conselice, Siegfried Eggl, Annette Ferguson, Adriano Fontana, Catherine Heymans, Isobel M Hook, Éric Aubourg, Hervé Aussel, James Bosch, Benoit Carry, Henk Hoekstra, Konrad Kuijken, Francois Lanusse, Peter Melchior, Joseph Mohr, Michele Moresco, Reiko Nakajima, Stéphane Paltani, Michael Troxel, Viola Allevato, Adam Amara, Stefano Andreon, Timo Anguita, Sandro Bardelli, Keith Bechtol, Simon Birrer, Laura Bisigello, Micol Bolzonella, Maria Teresa Botticella, Hervé Bouy, Jarle Brinchmann, Sarah Brough, Stefano Camera, Michele Cantiello, Enrico Cappellaro, Jeffrey L Carlin, Francisco J Castander, Marco Castellano, Ranga Ram Chari, Nora Elisa Chisari, Christopher Collins, Frédéric Courbin, Jean-Gabriel Cuby, Olga Cucciati, Tansu Daylan, Jose M Diego, Pierre-Alain Duc, Sotiria Fotopoulou, Dominique Fouchez, Raphaël Gavazzi, Daniel Gruen, Peter Hatfield, Hendrik Hildebrandt, Hermine Landt, Leslie K Hunt, Rodrigo Ibata, Olivier Ilbert, Jens Jasche, Benjamin Joachimi, Rémy Joseph, Rubina Kotak, Clotilde Laigle, Ariane Lançon, Søren S Larsen, Guilhem Lavaux, Florent Leclercq, C Danielle Leonard, Anja von der Linden, Xin Liu, Giuseppe Longo, Manuela Magliocchetti, Claudia Maraston, Phil Marshall, Eduardo L Martín, Seppo Mattila, Matteo Maturi, Henry Joy McCracken, R Benton Metcalf, Mireia Montes, Daniel Mortlock, Lauro Moscardini, Gautham Narayan, Maurizio Paolillo, Polychronis Papaderos, Roser Pello, Lucia Pozzetti, Mario Radovich, Marina Rejkuba, Javier Román, Rubén Sánchez-Janssen, Elena Sarpa, Barbara Sartoris, Tim Schrabback, Dominique Sluse, Stephen J Smartt, Graham P Smith, Colin Snodgrass, Margherita Talia, Charling Tao, Sune Toft, Crescenzo Tortora, Isaac Tutusaus, Christopher Usher, Sjoert van Velzen, Aprajita Verma, Georgios Vernardos, Karina Voggel, Benjamin Wandelt, Aaron E Watkins, Jochen Weller, Angus H Wright, Peter Yoachim, Ilsang Yoon, Elena Zucca
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Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification

ArXiv 2201.01203 (2022)

Authors:

Devina Mohan, Anna MM Scaife, Fiona Porter, Mike Walmsley, Micah Bowles
Details from ArXiV