A5054229114- Astronomy and Astrophysical Research
- Galaxies: Formation, Evolution, Phenomena
- Remote Sensing in Agriculture
- Geological and Geophysical Studies
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Spectroscopy and Laser Applications
- Astronomical Observations and Instrumentation
- Stellar, planetary, and galactic studies
Universidad Autónoma de Madrid
2024
Inter-University Centre for Astronomy and Astrophysics
2019-2022
The internal properties of dark matter haloes correlate with the large-scale halo clustering strength at fixed mass $-$ an effect known as assembly bias and are also strongly affected by local, non-linear cosmic web. Characterising a halo's local web environment its tidal anisotropy $\alpha$ scales $\sim4$ x radius, we demonstrate that these multi-scale correlations represent two distinct statistical links: one between property $\alpha$, other ( $>30h^{-1}$Mpc) $b_1$. We focus on scalar...
ABSTRACT Emission-line galaxies (ELGs) are targeted by the new generation of spectroscopic surveys to make unprecedented measurements in cosmology from their distribution. Accurately interpreting these data require understanding imprints imposed physics galaxy formation and evolution on clustering. In this work, we utilize a semi-analytical model (sage) explore necessary components for accurately reproducing clustering ELGs. We focus developing halo occupation distribution (HOD) prescription...
Over $90$% of dark matter haloes in cosmological simulations have unresolved properties. This can hinder the dynamical range and result systematic biases when modelling tracers. Current methods for enhancing cannot preserve multi-dimensional assembly bias found simulations. We aim to more precisely determine structural halo properties while preserving correlations with environment developed a machine learning technique that uses multi-variate conditional probability distribution functions....
We use the Separate Universe technique to calibrate dependence of linear and quadratic halo bias $b_1$ $b_2$ on local cosmic web environment dark matter haloes. do this by measuring response abundances at fixed mass tidal anisotropy $\alpha$ an infinite wavelength initial perturbation. augment our measurements with analytical framework developed in earlier work which exploits near-Lognormal shape distribution results very high precision calibrations. present convenient fitting functions for...
Large-scale sky surveys require companion large volume simulated mock catalogs. To ensure precision cosmology studies are unbiased, the correlations in these mocks between galaxy properties and their large-scale environments must be realistic. Since galaxies embedded dark matter halos, an important first step is to include such -- sometimes called assembly bias for halos. However, correlate with smaller scale physics halos which simulations struggle resolve. We describe algorithm addresses...
Over 90% of dark matter haloes in cosmological simulations are unresolved. This hinders the dynamic range and also produces systematic biases when modelling tracers. Current methods cannot accurately preserve multi-dimensional assembly bias found simulations. Here we aim to enhance unresolved structural properties haloes. We have developed HALOSCOPE, a machine learning technique using multi-variate conditional probability distribution functions given input from haloes' local environment. In...
The structural and dynamic properties of the dark matter halos, though an important ingredient in understanding large-scale structure formation, require more conservative particle resolution than those required by halo mass alone a simulation. This reduces parameter space simulations, severely for high-redshift large-volume mocks which are next-generation large sky surveys. Here, we incorporate redshift cosmology dependence into algorithm that assigns accurate such as concentration, spin,...
Emission line galaxies (ELGs) are targeted by the new generation of spectroscopic surveys to make unprecedented measurements in cosmology from their distribution. Accurately interpreting this data requires understanding imprints imposed physics galaxy formation and evolution on clustering. In work we utilize a semi-analytical model (SAGE) explore necessary components for accurately reproducing clustering ELGs. We focus developing Halo Occupation Distribution (HOD) prescription able reproduce...