4.6 Article

Lensing corrections on galaxy-lensing cross correlations and galaxy-galaxy auto correlations

出版社

IOP Publishing Ltd
DOI: 10.1088/1475-7516/2020/03/045

关键词

galaxy clustering; galaxy surveys; gravitational lensing; weak gravitational lensing

资金

  1. National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility [DE-AC02-05CH11231]

向作者/读者索取更多资源

We study the impact of lensing corrections on modeling cross correlations between CMB lensing and galaxies, cosmic shear and galaxies, and galaxies in different redshift bins. Estimating the importance of these corrections becomes necessary in the light of anticipated high-accuracy measurements of these observables. While higher order lensing corrections (sometimes also referred to as post Born corrections) have been shown to be negligibly small for lensing auto correlations, they have not been studied for cross correlations. We evaluate the contributing four-point functions without making use of the Limber approximation and compute line-of-sight integrals with the numerically stable and fast FFTlog formalism. We find that the relative size of lensing corrections depends on the respective redshift distributions of the lensing sources and galaxies, but that they are generally small for high signal-to-noise correlations. We point out that a full assessment and judgement of the importance of these corrections requires the inclusion of lensing Jacobian terms on the galaxy side. We identify these additional correction terms, but do not evaluate them due to their large number. We argue that they could be potentially important and suggest that their size should be measured in the future with ray-traced simulations. We make our code publicly available under [1].

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Astronomy & Astrophysics

Weighing neutrinos with the halo environment

Arka Banerjee, Emanuele Castorina, Francisco Villaescusa-Navarro, Travis Court, Matteo Viel

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2020)

Article Astronomy & Astrophysics

Wide-angle effects for peculiar velocities

Emanuele Castorina, Martin White

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2020)

Article Astronomy & Astrophysics

Local Primordial Non-Gaussianities and super-sample variance

Emanuele Castorina, Azadeh Moradinezhad Dizgah

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2020)

Article Astronomy & Astrophysics

Redshift-space distortions in Lagrangian perturbation theory

Shi-Fan Chen, Zvonimir Vlah, Emanuele Castorina, Martin White

Summary: In this study, a method for computing the one-loop 2-point function of biased tracers in redshift space is presented using Lagrangian perturbation theory, with a full resummation of long-wavelength displacements and velocities. The model accurately predicts the power spectrum and correlation function of halos and mock galaxies, including baryon acoustic oscillation signal damping due to bulk galaxy motions. The study also compares this full resummation approach with other techniques and discusses the computation of resulting expressions numerically for efficient computation.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2021)

Article Multidisciplinary Sciences

Estimating COVID-19 mortality in Italy early in the COVID-19 pandemic

B. Buchmann, L. K. Engelbrecht, P. Fernandez, F. P. Hutterer, M. K. Raich, C. H. Scheel, A. R. Bausch

Summary: The authors estimated COVID-19 mortality in Italy using a counterfactual time series analysis, finding that the actual deaths were approximately 1.5 times higher than official statistics. The proportion of population deaths and infection rates were also calculated for the most affected regions, showing significant differences from reported numbers.

NATURE COMMUNICATIONS (2021)

Article Astronomy & Astrophysics

MADLens, a python package for fast and differentiable non-Gaussian lensing simulations

V. Bohm, Y. Feng, M. E. Lee, B. Dai

Summary: MADLens is a Python package designed to produce non-Gaussian lensing convergence maps with unprecedented precision at arbitrary source redshifts. It achieves high accuracy through a combination of highly parallelizable algorithms, a sub-evolution scheme in the lensing projection, and a machine-learning inspired sharpening step. MADLens is fully differentiable with respect to initial conditions and cosmological parameters, making it useful for Bayesian inference algorithms and large, high-resolution simulation sets for deep-learning-based lensing analysis tools.

ASTRONOMY AND COMPUTING (2021)

Article Astronomy & Astrophysics

Mind the gap: the power of combining photometric surveys with intensity mapping

Chirag Modi, Martin White, Emanuele Castorina, Anze Slosar

Summary: By adding external galaxy distribution data to the 21-cm surveys, the lost long wavelength modes can be partially recovered. The spectroscopic sample performs better in reconstructing the largest modes, despite having lower number density.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2021)

Article Astronomy & Astrophysics

Precision tests of CO and [CII] power spectra models against simulated intensity maps

Azadeh Moradinezhad Dizgah, Farnik Nikakhtar, Garrett K. Keating, Emanuele Castorina

Summary: Line intensity mapping is an emerging technique that has the potential to accurately probe signals at different scales and redshifts. By using simulations and modeling, researchers have been able to accurately predict clustering power and stochastic contributions of intensity fluctuations. Furthermore, this technique shows promise in measuring the baryon acoustic oscillations, which has important implications for cosmological studies in the future.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

Article Astronomy & Astrophysics

The observed galaxy power spectrum in General Relativity

Emanuele Castorina, Enea Di Dio

Summary: Measurements of galaxy clustering in Fourier space provide insights into the early Universe and the effects of Primordial Non Gaussianities. Relativistic effects can complicate the interpretation of data and may diverge in the Infra-Red. This work calculates the ensemble average of a commonly used Fourier space estimator, considering all general relativistic effects. The study finds that once the individual divergent GR terms are taken into account, there is no Infra-Red sensitivity in the observable. Additionally, the importance of GR effects, including lensing magnification, in interpreting the galaxy power spectrum multipoles is investigated, revealing them to be generally small corrections to the leading redshift space distortions term.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

Article Astronomy & Astrophysics

Cosmology at high redshift - a probe of fundamental physics

Noah Sailer, Emanuele Castorina, Simone Ferraro, Martin White

Summary: By using a Fisher matrix formalism based on recent advances in Lagrangian perturbation theory, constraints for future spectroscopic and 21-cm surveys on the standard cosmological model and its extensions were forecasted and compared with those achievable by current or near-future surveys, such as DESI and Euclid, under the same forecasting formalism. Additionally, comparisons were made between the formalism used and traditional linear methods.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2021)

Article Astronomy & Astrophysics

FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver

C. Modi, F. Lanusse, U. Seljak

Summary: FlowPM is a Particle-Mesh (PM) cosmological N-body code implemented in Mesh-TensorFlow for GPU-accelerated, distributed, and differentiable simulations. A novel multi-grid scheme based on multiresolution pyramids is implemented to compute large-scale forces efficiently on distributed platforms, achieving significant speed-up compared to Python-based PM code. This tool can be used for efficiently solving large scale cosmological inference problems, including the reconstruction of cosmological fields in a forward model Bayesian framework with hybrid PM and neural network forward model.

ASTRONOMY AND COMPUTING (2021)

Editorial Material Astronomy & Astrophysics

Comments on the mass sheet degeneracy in cosmography analyses

Luca Teodori, Kfir Blum, Emanuele Castorina, Marko Simonovic, Yotam Soreq

Summary: In this paper, we discuss the issue of modeling degeneracies in strong lensing measurements of the Hubble parameter H-0. We highlight the importance of considering weak lensing effects associated with different segments of the line of sight, and propose the inclusion of external convergence terms to avoid bias in the inferred value of H-0. We also show that the use of imaging data for multiple strongly-lensed sources cannot fully resolve the mass sheet degeneracy.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

Article Astronomy & Astrophysics

Unveiling dark fifth forces with linear cosmology

Maria Archidiacono, Emanuele Castorina, Diego Redigolo, Ennio Salvioni

Summary: This study initiates the exploration of the cosmology of dark fifth forces, which are new forces acting solely on Dark Matter. It is found that the dark fifth force can be realized by a light scalar coupled to Dark Matter, and it has significant effects on the background cosmology and linear perturbations.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

Article Astronomy & Astrophysics

Bispectrum-window convolution via Hankel transform

Kevin Pardede, Federico Rizzo, Matteo Biagetti, Emanuele Castorina, Emiliano Sefusatti, Pierluigi Monaco

Summary: A method to perform exact convolution of the model prediction for bispectrum multipoles in redshift space with the survey window function is presented. By extending a widely applied method for power spectrum convolution to bispectrum and utilizing a 2D-FFTlog algorithm, accurate results are obtained.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

Article Astronomy & Astrophysics

Impact of the COVID-19 pandemic on publishing in astronomy in the initial two years

Vanessa Bohm, Jia Liu

Summary: Individual productivity among astronomers was boosted during the COVID-19 pandemic, but the improvement was not equally shared by men and women. A smaller fraction of papers were written by female astronomers and fewer women were among incoming new researchers in many countries. Even though female astronomers became more productive during COVID, the level of improvement is smaller than for men.

NATURE ASTRONOMY (2023)

暂无数据