Search Results for author:
Found 17 papers, 12 papers with code
Insights into the origin of halo mass profiles from machine learning
We find two primary scales in the initial conditions (ICs) that impact the final mass profile: the density at approximately the scale of the haloes' Lagrangian patch $R_L$ ($R\sim 0. 7\, R_L$) and that in the large-scale environment ($R\sim 1. 7~R_L$).
Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing
We show that the posterior PDFs are sufficiently accurate (i. e., statistically consistent with the truth) across a wide variety of power-law elliptical lens mass distributions.
Constraints on Dark Matter Microphysics from the Milky Way Satellite Population
Alternatives to the cold, collisionless dark matter (DM) paradigm in which DM behaves as a collisional fluid generically suppress small-scale structure.
Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology
The Buzzard Flock: Dark Energy Survey Synthetic Sky Catalogs
We show that the weak-lensing shear catalog, redMaGiC galaxy catalogs and redMaPPer cluster catalogs provide plausible realizations of the same catalogs in the DES Y1 data by comparing their magnitude, color and redshift distributions, angular clustering, and mass-observable relations, making them useful for testing analyses that use these samples.
Cosmology and Nongalactic Astrophysics
Modeling the Connection Between Subhalos and Satellites in Milky Way-Like Systems
We develop a comprehensive and flexible model for the connection between satellite galaxies and dark matter subhalos in dark matter-only zoom-in simulations of Milky Way (MW)-mass host halos.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks
We use convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to estimate the parameters of strong gravitational lenses from interferometric observations.
Instrumentation and Methods for Astrophysics
The Aemulus Project I: Numerical Simulations for Precision Cosmology
We show that these statistics are converged to 1% (2%) for halos with more than 500 (200) particles respectively and scales of r>200 ~ h^-1 kpc in real space or k ~ 3 h Mpc^-1 in harmonic space for z\le 1.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
ATLAS Probe: Breakthrough Science of Galaxy Evolution, Cosmology, Milky Way, and the Solar System
ATLAS Probe will lead to transformative science over the entire range of astrophysics: from galaxy evolution to the dark Universe, from Solar System objects to the dusty regions of the Milky Way.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Earth and Planetary Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics
Modeling the Impact of Baryons on Subhalo Populations with Machine Learning
We identify subhalos in dark matter-only (DMO) zoom-in simulations that are likely to be disrupted due to baryonic effects by using a random forest classifier trained on two hydrodynamic simulations of Milky Way (MW)-mass host halos from the Latte suite of the Feedback in Realistic Environments (FIRE) project.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
Mapping Extragalactic Dark Matter Annihilation with Galaxy Surveys: A Systematic Study of Stacked Group Searches
Applying this procedure to a catalog of sources, one can create a full-sky map of the brightest extragalactic dark matter targets in the nearby Universe ($z\lesssim 0. 03$), supplementing sources of dark matter annihilation from within the Local Group.
Cosmology and Nongalactic Astrophysics High Energy Astrophysical Phenomena High Energy Physics - Phenomenology
Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing
In Hezaveh et al. 2017 we showed that deep learning can be used for model parameter estimation and trained convolutional neural networks to determine the parameters of strong gravitational lensing systems.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Biased Tracers in Redshift Space in the EFT of Large-Scale Structure
The Effective Field Theory of Large-Scale Structure (EFTofLSS) provides a novel formalism that is able to accurately predict the clustering of large-scale structure (LSS) in the mildly non-linear regime.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology High Energy Physics - Theory
Connecting CO Intensity Mapping to Molecular Gas and Star Formation in the Epoch of Galaxy Assembly
Here we present predictions for the intensity map and power spectrum of the CO(1-0) line from galaxies at z ~ 2. 4 -2. 8, based on a parameterized model for the galaxy-halo connection, and demonstrate the extent to which properties of high-redshift galaxies can be directly inferred from such observations.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Gravitationally Consistent Halo Catalogs and Merger Trees for Precision Cosmology
We find that both the ROCKSTAR and BDM halo finders track halos extremely well; in both, the number of halos which do not have physically consistent progenitors is at the 1-2% level across all halo masses.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores
We present a new algorithm for identifying dark matter halos, substructure, and tidal features.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
ArborZ: Photometric Redshifts Using Boosted Decision Trees
Precision photometric redshifts will be essential for extracting cosmological parameters from the next generation of wide-area imaging surveys.
Cosmology and Nongalactic Astrophysics
