KiDS-1000: cross-correlation with Planck cosmic microwave background lensing and intrinsic alignment removal with self-calibration
Ji Yao, Huanyuan Shan, Pengjie Zhang, Xiangkun Liu, Catherine Heymans,, Benjamin Joachimi, Marika Asgari, Maciej Bilicki, Hendrik Hildebrandt, Konrad, Kuijken, Tilman Tr\"oster, Jan Luca van den Busch, Angus Wright, Ziang Yan

TL;DR
This paper examines how intrinsic alignments impact galaxy shear-CMB lensing cross-correlations in KiDS data, demonstrating that self-calibration effectively reduces degeneracies and improves cosmological parameter estimates.
Contribution
It introduces and validates an intrinsic alignment self-calibration method that breaks degeneracies in galaxy-CMB lensing cross-correlation analyses, enhancing the robustness of cosmological inferences.
Findings
Self-calibration reduces degeneracy between $A_{\rm lens}$ and $A_{\rm IA}$.
Including self-calibration constrains $A_{\rm IA}$ and $A_{\rm lens}$ more effectively.
Proper modeling of systematics like boost factor and redshift is crucial for accurate results.
Abstract
Galaxy shear - cosmic microwave background (CMB) lensing convergence cross-correlations contain additional information on cosmology to auto-correlations. While being immune to certain systematic effects, they are affected by the galaxy intrinsic alignments (IA). This may be responsible for the reported low lensing amplitude of the galaxy shear CMB convergence cross-correlations, compared to the standard Planck CDM (cosmological constant and cold dark matter) cosmology prediction. In this work, we investigate how IA affects the Kilo-Degree Survey (KiDS) galaxy lensing shear - Planck CMB lensing convergence cross-correlation and compare it to previous treatments with or without IA taken into consideration. More specifically, we compare marginalization over IA parameters and the IA self-calibration (SC) method (with additional observables defined only from the source…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Adaptive optics and wavefront sensing · Astronomy and Astrophysical Research
