144 citations · 1.4k across the 64 of their papers we have counts for
16 papers · 1 filter
z~2 dual AGN host galaxies are disky: stellar kinematics in the ASTRID Simulation
Ekaterine Dadiani, Tiziana Di Matteo, Nianyi Chen +6
We study dual AGN host galaxy morphologies at using the ASTRID simulation, selecting black hole (BH) pairs with small separation (), high mass ($M_{\text{BH,12…
MAGICS I. The First Few Orbits Encode the Fate of Seed Massive Black Hole Pairs
Nianyi Chen, Diptajyoti Mukherjee, Tiziana Di Matteo +3
The elusive massive black hole (MBH) seeds stand to be revealed by the Laser Space Antenna Interferometer through mergers. As an aftermath of galaxy mergers, MBH coalescence is a v…
Modeling Quasar Proximity Zones in a Realistic Cosmological Environment with a Self-consistent Light Curve
Yihao Zhou, Huanqing Chen, Tiziana Di Matteo +3
We study quasar proximity zones in a simulation that includes a self-consistent quasar formation model and realistic IGM environments. The quasar host halo is $10^{13}\ M_{\mathrm{…
Cosmological baryon spread and impact on matter clustering in CAMELS
Matthew Gebhardt, Daniel Anglés-Alcázar, Josh Borrow +9
We quantify the cosmological spread of baryons relative to their initial neighboring dark matter distribution using thousands of state-of-the-art simulations from the Cosmology and…
Fly-by galaxy encounters with multiple black holes produce star-forming linear wakes
Nianyi Chen, Patrick LaChance, Yueying Ni +4
We look for simulated star-forming linear wakes such as the one recently discovered by van Dokkum et al. (2023) in the cosmological hydrodynamical simulation ASTRID. Amongst the ru…
Efficient Reionization in a Large Hydrodynamic Galaxy Formation Simulation
James E. Davies, Simeon Bird, Simon Mutch +5
Accuracy in the topology and statistics of a simulated Epoch of Reionization (EoR) are vital to draw connections between observations and physical processes. While full radiative t…
PRIYA: A New Suite of Lyman-alpha Forest Simulations for Cosmology
Simeon Bird, Martin Fernandez, Ming-Feng Ho +6
We present the PRIYA suite of cosmological simulations, based on the code and hydrodynamic model of the ASTRID simulation, and designed for cosmological analyses of the Lyman- f…
AI-assisted super-resolution cosmological simulations III: Time evolution
Xiaowen Zhang, Patrick Lachance, Yueying Ni +5
In this work, we extend our recently developed super-resolution (SR) model for cosmological simulations to produce fully time consistent evolving representations of the particle ph…
Cosmology with one galaxy? -- The ASTRID model and robustness
Nicolas Echeverri, Francisco Villaescusa-Navarro, Chaitanya Chawak +7
Recent work has pointed out the potential existence of a tight relation between the cosmological parameter , at fixed , and the properties of individual galax…
The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites
Yueying Ni, Shy Genel, Daniel Anglés-Alcázar +12
We present CAMELS-ASTRID, the third suite of hydrodynamical simulations in the Cosmology and Astrophysics with MachinE Learning (CAMELS) project, along with new simulation sets tha…
Triple and Quadruple Black Holes in the ASTRID Simulation at
Calvin Hoffman, Nianyi Chen, Tiziana Di Matteo +4
We use the ASTRID cosmological hydrodynamic simulation to investigate the properties and evolution of triple and quadruple Massive Black Hole (MBH) systems at . Only a han…
Boosting Line Intensity Map Signal-to-Noise with the Ly- Forest Cross-Correlation
Mahdi Qezlou, Simeon Bird, Adam Lidz +6
We forecast the prospects for cross-correlating future line intensity mapping (LIM) surveys with the current and future Ly- forest data. We use large cosmological hydrodynamic s…
A universal equation to predict from halo and galaxy catalogues
Helen Shao, Natalí S. M de Santi, Francisco Villaescusa-Navarro +13
We discover analytic equations that can infer the value of from the positions and velocity moduli of halo and galaxy catalogues. The equations are derived by combining…
Robust Field-level Likelihood-free Inference with Galaxies
Natalí S. M. de Santi, Helen Shao, Francisco Villaescusa-Navarro +12
We train graph neural networks to perform field-level likelihood-free inference using galaxy catalogs from state-of-the-art hydrodynamic simulations of the CAMELS project. Our mode…
High-redshift supermassive black hole mergers in simulations with dynamical friction modelling
Colin DeGraf, Nianyi Chen, Yueying Ni +4
In the near future, projects like LISA and Pulsar Timing Arrays are expected to detect gravitational waves from mergers between supermassive black holes, and it is crucial to preci…
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…