Search Results for author:
Found 10 papers, 7 papers with code
Fast and realistic large-scale structure from machine-learning-augmented random field simulations
Producing thousands of simulations of the dark matter distribution in the Universe with increasing precision is a challenging but critical task to facilitate the exploitation of current and forthcoming cosmological surveys.
Magnification bias in galaxy surveys with complex sample selection functions
For BOSS-like lenses, we forecast a contribution of the magnification bias to the GGL signal between the multipole moments, $\ell$, of 100 and 4600 with a cumulative signal-to-noise ratio between 0. 1 and 1. 1 for sources from the Kilo-Degree Survey (KiDS), between 0. 4 and 2. 0 for sources from the Hyper Suprime-Cam survey (HSC), and between 0. 3 and 2. 8 for ESA Euclid-like source samples.
Cosmology and Nongalactic Astrophysics
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism
We train a machine learning algorithm on the power spectrum of the recorded pressure wave and show that the trained emulator allows complete and fast event locations for $\textit{any}$ source mechanism.
Organised Randoms: Learning and correcting for systematic galaxy clustering patterns in KiDS using self-organising maps
We then create `organised' randoms, i. e. random galaxy catalogues with spatially variable number densities, mimicking the learnt systematic density modes in the data.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
KiDS-1000 catalogue: Weak gravitational lensing shear measurements
We present weak lensing shear catalogues from the fourth data release of the Kilo-Degree Survey, KiDS-1000, spanning 1006 square degrees of deep and high-resolution imaging.
Cosmology and Nongalactic Astrophysics
KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps
We present updated cosmological constraints for the KiDS+VIKING-450 cosmic shear dataset (KV450), estimated using redshift distributions and photometric samples defined using self organising maps (SOMs).
Cosmology and Nongalactic Astrophysics
The halo model as a versatile tool to predict intrinsic alignments
In this paper, we use the halo model formalism to capture this diversity and examine its implications for Stage-III and Stage-IV cosmic shear surveys.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
GEOMAX: beyond linear compression for 3pt galaxy clustering statistics
By applying GEOMAX to bispectrum monopole measurements from BOSS DR12 CMASS redshift-space galaxy clustering data, we reduce the $68\%$ credible intervals for the inferred parameters $\left(b_1, b_2, f,\sigma_8\right)$ by $\left(50. 4\%, 56. 1\%, 33. 2\%, 38. 3\%\right)$ with respect to standard MCMC on the full data vector.
Cosmology and Nongalactic Astrophysics
Geometrical compression: a new method to enhance the BOSS galaxy bispectrum monopole constraints
We present a novel method to compress galaxy clustering three-point statistics and apply it to redshift space galaxy bispectrum monopole measurements from BOSS DR12 CMASS data considering a $k$-space range of $0. 03-0. 12\, h/\mathrm{Mpc}$.
Cosmology and Nongalactic Astrophysics
CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
When the systematic uncertainties are considered independently, the intrinsic alignment amplitude is the only degree of freedom that is substantially preferred by the data.
Cosmology and Nongalactic Astrophysics
