3.1k citations · 4.7k across the 26 of their papers we have counts for
17 papers · 1 filter
The Manticore Project I: a digital twin of our cosmic neighbourhood from Bayesian field-level analysis
Stuart McAlpine, Jens Jasche, Metin Ata +4
We present the first results from the Manticore project, dubbed Manticore-Local, a suite of Bayesian constrained simulations of the nearby Universe, generated by fitting a physical…
Learning the Universe: Learning to Optimize Cosmic Initial Conditions with Non-Differentiable Structure Formation Models
Ludvig Doeser, Metin Ata, Jens Jasche
Making the most of next-generation galaxy clustering surveys requires overcoming challenges in complex, non-linear modelling to access the significant amount of information at smal…
Predicted future fate of COSMOS galaxy protoclusters over 11 Gyr with constrained simulations
Metin Ata, Khee-Gan Lee, Claudio Dalla Vecchia +5
Cosmological simulations are crucial tools in studying the Universe, but they typically do not directly match real observed structures. Constrained cosmological simulations, on the…
Second Data Release of the COSMOS Lyman-alpha Mapping and Tomographic Observation: The First 3D Maps of the Detailed Cosmic Web at 2.05<z<2.55
Benjamin Horowitz, Khee-Gan Lee, Metin Ata +12
We present the second data release of the COSMOS Lyman-Alpha Mapping And Tomography Observations (CLAMATO) Survey conducted with the LRIS spectrograph on the Keck-I telescope. This…
Constraining the Cosmic Baryon Distribution with Fast Radio Burst Foreground Mapping
Khee-Gan Lee, Metin Ata, Ilya S. Khrykin +5
The dispersion measures (DM) of fast radio bursts (FRBs) encode the integrated electron density along the line-of-sight, which is typically dominated by the intergalactic medium (I…
Mapping Lyman-alpha forest three-dimensional large scale structure in real and redshift space
Francesco Sinigaglia, Francisco-Shu Kitaura, Andrés Balaguera-Antolínez +4
This work presents a new physically-motivated supervised machine learning method, Hydro-BAM, to reproduce the three-dimensional Lyman- forest field in real and in redshift space…
The bias from hydrodynamic simulations: mapping baryon physics onto dark matter fields
Francesco Sinigaglia, Francisco-Shu Kitaura, Andrés Balaguera-Antolínez +4
This paper investigates the hierarchy of baryon physics assembly bias relations obtained from state-of-the-art hydrodynamic simulations with respect to the underlying cosmic web sp…
BIRTH of the COSMOS Field: Primordial and Evolved Density Reconstructions During Cosmic High Noon
Metin Ata, Francisco-Shu Kitaura, Khee-Gan Lee +5
This work presents the first comprehensive study of structure formation at the peak epoch of cosmic star formation over in the COSMOS field, including the most…
Higher Order Hamiltonian Monte Carlo Sampling for Cosmological Large-Scale Structure Analysis
Mónica Hernández-Sánchez, Francisco-Shu Kitaura, Metin Ata +1
We investigate higher order symplectic integration strategies within Bayesian cosmic density field reconstruction methods. In particular, we study the fourth-order discretisation o…
COSMIC BIRTH: Efficient Bayesian Inference of the Evolving Cosmic Web from Galaxy Surveys
Francisco-Shu Kitaura, Metin Ata, Sergio A. Rodriguez-Torres +3
We present COSMIC BIRTH: COSMological Initial Conditions from Bayesian Inference Reconstructions with THeoretical models: an algorithm to reconstruct the primordial and evolved cos…
TARDIS Paper I: A Constrained Reconstruction Approach to Modeling the z~2.5 Cosmic Web Probed by Lyman-alpha Forest Tomography
Benjamin Horowitz, Khee-Gan Lee, Martin White +2
Recent Lyman- forest tomography measurements of the intergalactic medium (IGM) have revealed a wealth of cosmic structures at high redshift (). In this work, we prese…
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: First measurement of Baryon Acoustic Oscillations between redshift 0.8 and 2.2
Metin Ata, Falk Baumgarten, Julian Bautista +60
We present measurements of the Baryon Acoustic Oscillation (BAO) scale in redshift-space using the clustering of quasars. We consider a sample of 147,000 quasars from the extended…
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample
Shadab Alam, Metin Ata, Stephen Bailey +69
We present cosmological results from the final galaxy clustering data set of the Baryon Oscillation Spectroscopic Survey, part of the Sloan Digital Sky Survey III. Our combined gal…
The Clustering of Galaxies in the Completed SDSS-III Baryon Oscillation Spectroscopic Survey: Cosmic Flows and Cosmic Web from Luminous Red Galaxies
Metin Ata, Francisco-Shu Kitaura, Chia-Hsun Chuang +31
We present a Bayesian phase-space reconstruction of the cosmic large-scale matter density and velocity fields from the SDSS-III Baryon Oscillations Spectroscopic Survey Data Releas…
Bayesian redshift-space distortions correction from galaxy redshift surveys
Francisco-Shu Kitaura, Metin Ata, Raul E. Angulo +5
We present a Bayesian reconstruction method which maps a galaxy distribution from redshift-space to real-space inferring the distances of the individual galaxies. The method is bas…
Bayesian inference of cosmic density fields from non-linear, scale-dependent, and stochastic biased tracers
Metin Ata, Francisco-Shu Kitaura, Volker Müller
We present a Bayesian reconstruction algorithm to generate unbiased samples of the underlying dark matter field from halo catalogues. Our new contribution consists of implementing…
Non-Gaussian inference from non-linear and non-Poisson biased distributed data
Metin Ata, Francisco-Shu Kitaura, Volker Müller
We study the statistical inference of the cosmological dark matter density field from non-Gaussian, non-linear and non-Poisson biased distributed tracers. We have implemented a Bay…