CMB lensing reconstruction biases in cross-correlation with large-scale
structure probes
G. Fabbian, A. Lewis, und D. Beck. (2019)cite arxiv:1906.08760Comment: submitted to JCAP, comments welcome.
Zusammenfassung
The cross-correlation between cosmic microwave background (CMB) gravitational
lensing and large-scale structure tracers will be an important cosmological
probe in the coming years. Quadratic estimators provide a simple and powerful
(if suboptimal) way to reconstruct the CMB lensing potential and are widely
used. For Gaussian fields, the cross-correlation of a quadratic-estimator CMB
lensing reconstruction with a tracer is exactly unbiased if the power spectra
are known and consistent analytic lensing mode response functions are used.
However, the bispectrum induced by non-linear large-scale structure growth and
post-Born lensing can introduce an additional bias term ($N_L^(3/2)$) in the
cross-correlation spectrum, similar to the $N_L^(3/2)$ bias in the
auto-spectrum demonstrated in recent works. We give analytic flat-sky results
for the cross-correlation bias using approximate models for the post-Born and
large-scale structure cross-bispectra, and compare with N-body simulation
results using ray-tracing techniques. We show that the bias can be at the
5-15\% level in all large-scale structure cross-correlations using small-scale
CMB temperature lensing reconstruction, but is substantially reduced using
polarization-based lensing estimators or simple foreground-projected
temperature estimators. The relative magnitude of these effects is almost three
times higher than in the CMB lensing auto-correlation, but is small enough that
it can be modelled to sufficient precision using simple analytic models. We
show that $N_L^(3/2)$ effects in cross-correlation will be detected with high
significance when using data of future surveys and could affect systematic
effects marginalization in cosmic shear measurements mimicking galaxy intrinsic
alignment.
Beschreibung
CMB lensing reconstruction biases in cross-correlation with large-scale structure probes
%0 Generic
%1 fabbian2019lensing
%A Fabbian, Giulio
%A Lewis, Antony
%A Beck, Dominic
%D 2019
%K library
%T CMB lensing reconstruction biases in cross-correlation with large-scale
structure probes
%U http://arxiv.org/abs/1906.08760
%X The cross-correlation between cosmic microwave background (CMB) gravitational
lensing and large-scale structure tracers will be an important cosmological
probe in the coming years. Quadratic estimators provide a simple and powerful
(if suboptimal) way to reconstruct the CMB lensing potential and are widely
used. For Gaussian fields, the cross-correlation of a quadratic-estimator CMB
lensing reconstruction with a tracer is exactly unbiased if the power spectra
are known and consistent analytic lensing mode response functions are used.
However, the bispectrum induced by non-linear large-scale structure growth and
post-Born lensing can introduce an additional bias term ($N_L^(3/2)$) in the
cross-correlation spectrum, similar to the $N_L^(3/2)$ bias in the
auto-spectrum demonstrated in recent works. We give analytic flat-sky results
for the cross-correlation bias using approximate models for the post-Born and
large-scale structure cross-bispectra, and compare with N-body simulation
results using ray-tracing techniques. We show that the bias can be at the
5-15\% level in all large-scale structure cross-correlations using small-scale
CMB temperature lensing reconstruction, but is substantially reduced using
polarization-based lensing estimators or simple foreground-projected
temperature estimators. The relative magnitude of these effects is almost three
times higher than in the CMB lensing auto-correlation, but is small enough that
it can be modelled to sufficient precision using simple analytic models. We
show that $N_L^(3/2)$ effects in cross-correlation will be detected with high
significance when using data of future surveys and could affect systematic
effects marginalization in cosmic shear measurements mimicking galaxy intrinsic
alignment.
@misc{fabbian2019lensing,
abstract = {The cross-correlation between cosmic microwave background (CMB) gravitational
lensing and large-scale structure tracers will be an important cosmological
probe in the coming years. Quadratic estimators provide a simple and powerful
(if suboptimal) way to reconstruct the CMB lensing potential and are widely
used. For Gaussian fields, the cross-correlation of a quadratic-estimator CMB
lensing reconstruction with a tracer is exactly unbiased if the power spectra
are known and consistent analytic lensing mode response functions are used.
However, the bispectrum induced by non-linear large-scale structure growth and
post-Born lensing can introduce an additional bias term ($N_L^{(3/2)}$) in the
cross-correlation spectrum, similar to the $N_L^{(3/2)}$ bias in the
auto-spectrum demonstrated in recent works. We give analytic flat-sky results
for the cross-correlation bias using approximate models for the post-Born and
large-scale structure cross-bispectra, and compare with N-body simulation
results using ray-tracing techniques. We show that the bias can be at the
5-15\% level in all large-scale structure cross-correlations using small-scale
CMB temperature lensing reconstruction, but is substantially reduced using
polarization-based lensing estimators or simple foreground-projected
temperature estimators. The relative magnitude of these effects is almost three
times higher than in the CMB lensing auto-correlation, but is small enough that
it can be modelled to sufficient precision using simple analytic models. We
show that $N_L^{(3/2)}$ effects in cross-correlation will be detected with high
significance when using data of future surveys and could affect systematic
effects marginalization in cosmic shear measurements mimicking galaxy intrinsic
alignment.},
added-at = {2019-06-21T04:54:35.000+0200},
author = {Fabbian, Giulio and Lewis, Antony and Beck, Dominic},
biburl = {https://www.bibsonomy.org/bibtex/21a86eed145e19a87594edd5964180e07/gpkulkarni},
description = {CMB lensing reconstruction biases in cross-correlation with large-scale structure probes},
interhash = {632dbc3c422aac9fc27d28f21545c5f0},
intrahash = {1a86eed145e19a87594edd5964180e07},
keywords = {library},
note = {cite arxiv:1906.08760Comment: submitted to JCAP, comments welcome},
timestamp = {2019-06-21T04:54:35.000+0200},
title = {CMB lensing reconstruction biases in cross-correlation with large-scale
structure probes},
url = {http://arxiv.org/abs/1906.08760},
year = 2019
}