340 citations · 978 across the 24 of their papers we have counts for
24 papers
How to Craft the Right Language AI Policy For Your Research Group (Some Assembly Required)
Michelle Ntampaka, S. Burke-Spolaor, Ioana Ciucă +14
Language AI is rapidly becoming part of the astronomy research ecosystem, prompting research teams to develop policies governing its use. But resources and advice for AI adoption a…
Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning
Ana Maria Delgado, Michelle Ntampaka, Sownak Bose +7
Properties of massive galaxy clusters, such as mass abundance and concentration, are sensitive to cosmology, making cluster statistics a powerful tool for cosmological studies. How…
The Importance of Being Adaptable: An Exploration of the Power and Limitations of Domain Adaptation for Simulation-Based Inference with Galaxy Clusters
Michelle Ntampaka, A. Ciprijanovic, Ana Maria Delgado +4
The application of deep machine learning methods in astronomy has exploded in the last decade, with new models showing remarkably improved performance on benchmark tasks. Not nearl…
Fully non-linear simulations of galaxy intrinsic alignments for weak lensing with the MillenniumTNG lightcone
Fulvio Ferlito, Volker Springel, Christopher T. Davies +4
We present a complete forward model of a realistic weak lensing galaxy catalogue based on the 740 Mpc hydrodynamical MillenniumTNG (MTNG) simulation. Starting with a complete parti…
A Multi-Wavelength Technique for Estimating Galaxy Cluster Mass Accretion Rates
John Soltis, Michelle Ntampaka, Benedikt Diemer +7
The mass accretion rate of galaxy clusters is a key factor in determining their structure, but a reliable observational tracer has yet to be established. We present a state-of-the-…
The MillenniumTNG Project: Impact of massive neutrinos on the cosmic large-scale structure and the distribution of galaxies
César Hernández-Aguayo, Volker Springel, Sownak Bose +10
We discuss the cold dark matter plus massive neutrinos simulations of the MillenniumTNG (MTNG) project, which aim to improve understanding of how well ongoing and future large-scal…
Ray-tracing vs. Born approximation in full-sky weak lensing simulations of the MillenniumTNG project
Fulvio Ferlito, Christopher T. Davies, Volker Springel +7
Weak gravitational lensing is a powerful tool for precision tests of cosmology. As the expected deflection angles are small, predictions based on non-linear N-body simulations are…
Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos
Max E. Lee, Shy Genel, Benjamin D. Wandelt +10
Galaxy formation models within cosmological hydrodynamical simulations contain numerous parameters with non-trivial influences over the resulting properties of simulated cosmic str…
Evolution of cosmic filaments in the MTNG simulation
Daniela Galárraga-Espinosa, Corentin Cadiou, Céline Gouin +11
We present a study of the evolution of cosmic filaments across redshift with an emphasis on some important properties: filament lengths, growth rates, and radial profiles of galaxy…
Interpreting Sunyaev-Zel'dovich observations with MillenniumTNG: Mass and environment scaling relations
Boryana Hadzhiyska, Simone Ferraro, Rüdiger Pakmor +7
In the coming years, Sunyaev-Zel'dovich (SZ) measurements can dramatically improve our understanding of the Intergalactic Medium (IGM) and the role of feedback processes on galaxy…
The MillenniumTNG Project: Intrinsic alignments of galaxies and halos
Ana Maria Delgado, Boryana Hadzhiyska, Sownak Bose +9
The intrinsic alignment (IA) of observed galaxy shapes with the underlying cosmic web is a source of contamination in weak lensing surveys. Sensitive methods to identify the IA sig…
Inferring the impact of feedback on the matter distribution using the Sunyaev Zel'dovich effect: Insights from CAMELS simulations and ACT+DES data
Shivam Pandey, Kai Lehman, Eric J. Baxter +6
Feedback from active galactic nuclei and stellar processes changes the matter distribution on small scales, leading to significant systematic uncertainty in weak lensing constraint…
Predicting the impact of feedback on matter clustering with machine learning in CAMELS
Ana Maria Delgado, Daniel Angles-Alcazar, Leander Thiele +7
Extracting information from the total matter power spectrum with the precision needed for upcoming cosmological surveys requires unraveling the complex effects of galaxy formation…
The MillenniumTNG Project: An improved two-halo model for the galaxy-halo connection of red and blue galaxies
Boryana Hadzhiyska, Daniel Eisenstein, Lars Hernquist +11
Approximate methods to populate dark matter halos with galaxies are of great utility to large galaxy surveys. However, the limitations of simple halo occupation models (HODs) precl…
The MillenniumTNG Project: Refining the one-halo model of red and blue galaxies at different redshifts
Boryana Hadzhiyska, Lars Hernquist, Daniel Eisenstein +11
Luminous red galaxies (LRGs) and blue star-forming emission-line galaxies (ELGs) are key tracers of large-scale structure used by cosmological surveys. Theoretical predictions for…
The MillenniumTNG Project: Semi-analytic galaxy formation models on the past lightcone
Monica Barrera, Volker Springel, Simon White +9
Upcoming large galaxy surveys will subject the standard cosmological model, CDM, to new precision tests. These can be tightened considerably if theoretical models of galaxy form…
The MillenniumTNG Project: Inferring cosmology from galaxy clustering with accelerated N-body scaling and subhalo abundance matching
Sergio Contreras, Raul E. Angulo, Volker Springel +11
We introduce a novel technique for constraining cosmological parameters and galaxy assembly bias using non-linear redshift-space clustering of galaxies. We scale cosmological N-bod…
The MillenniumTNG Project: The galaxy population at
Rahul Kannan, Volker Springel, Lars Hernquist +11
The early release science results from have yielded an unexpected abundance of high-redshift luminous galaxies that seems to be in tension with current theories of…
The MillenniumTNG Project: The large-scale clustering of galaxies
Sownak Bose, Boryana Hadzhiyska, Monica Barrera +9
Modern redshift surveys are tasked with mapping out the galaxy distribution over enormous distance scales. Existing hydrodynamical simulations, however, do not reach the volumes ne…
The MillenniumTNG Project: The hydrodynamical full physics simulation and a first look at its galaxy clusters
Ruediger Pakmor, Volker Springel, Jonathan P. Coles +12
Cosmological simulations are an important theoretical pillar for understanding nonlinear structure formation in our Universe and for relating it to observations on large scales. In…
The MillenniumTNG Project: High-precision predictions for matter clustering and halo statistics
César Hernández-Aguayo, Volker Springel, Rüdiger Pakmor +9
Cosmological inference with large galaxy surveys requires theoretical models that combine precise predictions for large-scale structure with robust and flexible galaxy formation mo…
The CAMELS project: public data release
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar +44
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynami…
Modeling the galaxy-halo connection with machine learning
Ana Maria Delgado, Digvijay Wadekar, Boryana Hadzhiyska +3
To extract information from the clustering of galaxies on non-linear scales, we need to model the connection between galaxies and halos accurately and in a flexible manner. Standar…
The Quijote simulations
Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara +26
The Quijote simulations are a set of 44,100 full N-body simulations spanning more than 7,000 cosmological models in the hyperplane.…