Search Results for author:
Found 14 papers, 7 papers with code
Out-of-equlibrium inference of stochastic model parameters through population data from generic consumer-resource dynamics
The assumptions of mass action, chemostatic conditions and stationarity in stochastic feeding dynamics lead to Holling type II functional responses, whose use is widespread in macroscopic models of population dynamics.
A precise symbolic emulator of the linear matter power spectrum
We obtain an analytic approximation to the linear power spectrum with a root mean squared fractional error of 0. 2% between $k = 9\times10^{-3} - 9 \, h{\rm \, Mpc^{-1}}$ and across a wide range of cosmological parameters, and we provide physical interpretations for various terms in the expression.
Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework
These rule-based approaches are motivated by chemical reaction rules which are traditionally solved numerically with the standard Gillespie algorithm proposed in the context of molecular dynamics.
A rule-based epidemiological framework for modelling and simulation in the context of the covid-19 pandemic
Here we stress that we do not have a specific model in mind, but a whole collection of models which can be transformed into each other, or represent different aspects of the pandemic.
The Simons Observatory: gain, bandpass and polarization-angle calibration requirements for B-mode searches
We quantify the calibration requirements for systematic uncertainties for next-generation ground-based observatories targeting the large-angle $B$-mode polarization of the Cosmic Microwave Background, with a focus on the Simons Observatory (SO).
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Tomographic measurement of the intergalactic gas pressure through galaxy-tSZ cross-correlations
Our measurements allow us to place constraints on the redshift dependence of the mass-observable relation for tSZ cluster count analyses in terms of the so-called 'hydrostatic mass bias' parameter $1-b_{\rm H}$.
Cosmology and Nongalactic Astrophysics
Core Cosmology Library: Precision Cosmological Predictions for LSST
As a result, predictions for correlation functions of galaxy clustering, galaxy-galaxy lensing and cosmic shear are demonstrated to be within a fraction of the expected statistical uncertainty of the observables for the models and in the range of scales of interest to LSST.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
A unified pseudo-$C_\ell$ framework
The pseudo-$C_\ell$ is an algorithm for estimating the angular power and cross-power spectra that is very fast and, in realistic cases, also nearly optimal.
Cosmology and Nongalactic Astrophysics
The Simons Observatory: Science goals and forecasts
With up to an order of magnitude lower polarization noise than maps from the Planck satellite, the high-resolution sky maps will constrain cosmological parameters derived from the damping tail, gravitational lensing of the microwave background, the primordial bispectrum, and the thermal and kinematic Sunyaev-Zel'dovich effects, and will aid in delensing the large-angle polarization signal to measure the tensor-to-scalar ratio.
Cosmology and Nongalactic Astrophysics
The Observational Future of Cosmological Scalar-Tensor Theories
The next generation of surveys will greatly improve our knowledge of cosmological gravity.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Theory
A signal of competitive dominance in mid-latitude herbaceous plant communities
Understanding the main determinants of species coexistence across space and time is a central question in ecology.
Blind foreground subtraction for intensity mapping experiments
For well-behaved foregrounds and instrumental effects we find that foreground subtraction can be successful to a reasonable level on most scales of interest.
Cosmology and Nongalactic Astrophysics
CUTE solutions for two-point correlation functions from large cosmological datasets
In the advent of new large galaxy surveys, which will produce enormous datasets with hundreds of millions of objects, new computational techniques are necessary in order to extract from them any two-point statistic, the computational time of which grows with the square of the number of objects to be correlated.
Instrumentation and Methods for Astrophysics
LSST: from Science Drivers to Reference Design and Anticipated Data Products
About 90\% of the observing time will be devoted to a deep-wide-fast survey mode which will uniformly observe a 18, 000 deg$^2$ region about 800 times (summed over all six bands) during the anticipated 10 years of operations, and yield a coadded map to $r\sim27. 5$.
