A5103910213- Cosmology and Gravitation Theories
- Galaxies: Formation, Evolution, Phenomena
- Dark Matter and Cosmic Phenomena
- Astronomy and Astrophysical Research
- Statistical and numerical algorithms
- Scientific Research and Discoveries
- Stellar, planetary, and galactic studies
- Black Holes and Theoretical Physics
- Noncommutative and Quantum Gravity Theories
- Relativity and Gravitational Theory
- Climate variability and models
- Statistical Methods and Bayesian Inference
- Gamma-ray bursts and supernovae
- Computational Physics and Python Applications
- Statistical Methods and Inference
- Advanced Chemical Physics Studies
- Impact of Light on Environment and Health
- Astrophysics and Cosmic Phenomena
- History and Developments in Astronomy
- Spatial and Panel Data Analysis
- Advanced Mathematical Theories and Applications
- Quantum Mechanics and Applications
- Gaussian Processes and Bayesian Inference
- Education Methods and Technologies
- Fullerene Chemistry and Applications
Ludwig-Maximilians-Universität München
2017-2025
Excellence Cluster Origins
2023-2025
University of Cambridge
2020-2022
National Oceanography Centre
2019
Max Planck Institute for Extraterrestrial Physics
2015-2017
Optica
2015
Max Planck Society
2015
Bielefeld University
1999-2001
We comprehensively analyse the cosmology dependence of counts-in-cell statistics. focus on shape one-point probability distribution function (PDF) matter density field at mildly nonlinear scales. Based large-deviation statistics, we parametrise PDF in terms linear power spectrum, growth factor, spherical collapse dynamics, and variance. extend our formalism to include massive neutrinos, finding that total is highly sensitive neutrino mass $M_ν$ can disentangle it from clustering amplitude...
Our current understanding of the Universe is established through pristine measurements structure in cosmic microwave background (CMB) and distribution shapes galaxies tracing large scale (LSS) Universe. One key ingredient that underlies cosmological observables field sources observed assumed to be initially Gaussian with high precision. Nevertheless, a minimal deviation from Gaussianityis perhaps most robust theoretical prediction models explain Universe; itis necessarily present even...
Our current understanding of the Universe is established through pristine measurements structure in cosmic microwave background (CMB) and distribution shapes galaxies tracing large scale (LSS) Universe. One key ingredient that underlies cosmological observables field sources observed assumed to be initially Gaussian with high precision. Nevertheless, a minimal deviation from Gaussianityis perhaps most robust theoretical prediction models explain Universe; itis necessarily present even...
ABSTRACT Observational astrophysics consists of making inferences about the Universe by comparing data and models. The credible intervals placed on model parameters are often as important maximum a posteriori probability values, indicate concordance or discordance between models with measurements from other data. Intermediate statistics (e.g. power spectrum) usually measured made fitting to these rather than raw data, assuming that likelihood for has multivariate Gaussian form. covariance...
Pinning down the total neutrino mass and dark energy equation of state is a key aim for upcoming galaxy surveys. Weak lensing unique probe matter distribution whose non-Gaussian statistics can be quantified by one-point probability function (PDF) convergence. We calculate convergence PDF on mildly non-linear scales from first principles using large-deviation statistics, accounting mass. For time, we comprehensively validate cosmology-dependence model against large suites simulated maps,...
ABSTRACT Measurements of large-scale structure are interpreted using theoretical predictions for the matter distribution, including potential impacts baryonic physics. We constrain feedback strength baryons jointly with cosmology weak lensing and galaxy clustering observables (3 × 2pt) Dark Energy Survey (DES) Year 1 data in combination external information from baryon acoustic oscillations (BAO) Planck cosmic microwave background polarization. Our modelling is informed by a set...
We investigate the possibility to detect primordial non-Gaussianity by analysing bulk of probability distribution function (PDF) late-time cosmic density fluctuations. For this purpose we devise a new method predict impact general non-Gaussian initial conditions on PDF. At redshift $z=1$ and for smoothing scale 30Mpc/$h$ our predictions agree with high-resolution Quijote N-body simulations $\sim 0.2\%$ precision. This is within variance 100(\mathrm{Gpc}/h)^3$ survey volume. When restricting...
One-point probability distribution functions (PDFs) of the cosmic matter density are powerful cosmological probes that extract non-Gaussian properties and complement two-point statistics. Computing covariance one-point PDFs is key for building a robust galaxy survey analysis upcoming surveys like Euclid Rubin Observatory LSST requires good models characterising spatial correlations. In this work, we obtain accurate PDF covariances using effective shifted lognormal mildly weak lensing...
The 1-point matter density probability distribution function (PDF) captures some of the non-Gaussian information lost in standard 2-point statistics. PDF can be well predicted at mildly non-linear scales using large deviations theory. This work extends those predictions to biased tracers like dark halos and galaxies they host. We model conditional tracer counts given a bias stochasticity previously used for photometric data. find accurate parametrisations with smoothing scale-independent...
We introduce an ordinal classification algorithm for photometric redshift estimation, which significantly improves the reconstruction of probability density functions (PDFs) individual galaxies and galaxy samples. As a use case we apply our method to CFHTLS galaxies. The treats distinct bins as ordered values, quality PDFs, compared with non-ordinal architectures. also propose new single value point estimate redshift, can be used full PDF sample. This is competitive in terms accuracy...
ABSTRACT We present the integrated three-point shear correlation function iζ± – a higher order statistic of cosmic field which can be directly estimated in wide-area weak lensing surveys without measuring full function, making this practical and complementary tool to two-point statistics for cosmology. define it as one-point aperture mass Map measured at different locations on correlated with corresponding local ξ±. Building upon existing work bispectrum convergence field, we theoretical...
Computing the inverse covariance matrix (or precision matrix) of large data vectors is crucial in weak lensing (and multiprobe) analyses large-scale structure Universe. Analytically computed covariances are noise-free and hence straightforward to invert; however, model approximations might be insufficient for statistical future cosmological data. Estimating from numerical simulations improves on these approximations, but sample estimator inherently noisy, which introduces uncertainties error...
We study the connection of matter density and its tracers from PDF perspective. One aspect this is conditional expectation value $\langle \delta_{\mathrm{tracer}}|\delta_m\rangle$ when averaging both tracer over some scale. present a new way to incorporate Lagrangian bias expansion into standard frameworks for modelling fluctuations counts-in-cells statistics. Using N-body simulations mock galaxy catalogs we confirm accuracy compare it more commonly used Eulerian parametrization. For halos...
Context. Weak lensing and clustering statistics beyond two-point functions can capture non-Gaussian information about the matter density field, thereby improving constraints on cosmological parameters relative to mainstream methods based correlation power spectra. Aims. This paper presents a analysis of fourth data release Kilo Degree Survey split statistics, which measures mean shear profiles around regions classified according foreground densities. The latter is constructed from bright...
Abstract The integrated shear 3-point correlation function ζ ± measures the between local 2-point ξ and 1-point aperture mass in patches of sky. Unlike other higher-order statistics, can be efficiently measured from cosmic data, it admits accurate theory predictions on a wide range scales as cosmological baryonic feedback parameters. Here, we develop test likelihood analysis pipeline for constraints using . We incorporate treatment systematic effects photometric redshift uncertainties,...
Abstract We present the integrated 3-point correlation functions (3PCF) involving both cosmic shear and galaxy density fields. These are a set of higher-order statistics that describe modulation local 2-point (2PCF) by large-scale features in fields, which easy to measure from imaging surveys. Based on previous works shear-only 3PCF, we develop theoretical framework for modelling 5 new field its cross-correlations with shear. Using realistic mocks simulations, determine regime validity our...
On the basis of a new, highly accurate potential energy hypersurface for lowest triplet state H+3, (3)Sigma(+)(u), bound ro-vibronic states are calculated J</=5. Since has very shallow minima, those exist only up to single vibrational excitation. The symmetry properties ro-vibrational investigated. Further, it is demonstrated that first excited state, which intersects conically with (3)Sigma(+)(u) no effect on reported energies.
Context. Studying the statistical properties of large-scale structure in Universe with weak gravitational lensing is a prime goal several current and forthcoming galaxy surveys. The power that has to constrain cosmological parameters can be enhanced by considering statistics beyond second-order shear correlation functions or spectra. One such higher-order probe proven successful observational data density split (DSS), which one analyses mean profiles around points are classified according...
Key non-Gaussian properties of cosmological fields can be captured by their one-point statistics, providing a complement to two-point statistical measurements from power spectra or correlation functions. Large deviation theory robustly predict the statistics density on mildly non-linear scales first principles. It provides direct prediction for cumulant generating function (CGF) such fields, which more commonly used probability (PDF) is extracted through an inverse Laplace transform. For...
Abstract The holographic principle suggests that regions of space contain fewer physical degrees freedom than would be implied by conventional quantum field theory. Meanwhile, in Hilbert spaces large dimension 2 n , it is possible to define <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>N</mml:mi> <mml:mo>≫</mml:mo> <mml:mi>n</mml:mi> </mml:mrow> </mml:math> Pauli algebras are nearly anti-commuting (but not quite) and which can thought as...
The electronic structures of carbocene and silicocene have been investigated by density functional calculations. Accordingly, behaves entirely different compared to silicocene. former prefers a classical dicyclopentadienylcarbene structure, while the latter adopts slightly distorted sandwich structure. Methyl substitution at cyclopentadienyl unit does not exert considerable effect on resulting equilibrium A detailed analysis electron distribution based an Laplacian charge is given.