2021
DOI: 10.21105/astro.2012.04672
|View full text |Cite
|
Sign up to set email alerts
|

Euclid: Forecasts for k-cut 3×2 Point Statistics

Abstract: Modelling uncertainties at small scales, i.e. high k in the power spectrum P (k), due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased tracers poses a significant obstacle to fully leverage the constraining power of the Euclid wide-field survey. k-cut cosmic shear has recently been proposed as a method to optimally remove sensitivity to these scales while preserving usable information. In this paper we generalise the k-cut cosmic shear formalism to 3 × 2 point statistics a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 34 publications
0
1
0
Order By: Relevance
“…The Euclid photometric sample will likely be divided into ten redshift tomographic bins with an equal effective galaxy number density of n = 3 galaxies/arcmin 2 for each bin (Laureijs et al 2011;Euclid Collaboration et al 2020;Tutusaus et al 2020;Taylor et al 2021;Euclid Collaboration et al 2022). We arbitrarily select two of these ten tomographic bins (0.65 ≤ z < 0.79 and 1.54 ≤ z < 1.83) to define the weak lensing tracers for the underlying theoretical angular power spectra.…”
Section: Simulationmentioning
confidence: 99%
“…The Euclid photometric sample will likely be divided into ten redshift tomographic bins with an equal effective galaxy number density of n = 3 galaxies/arcmin 2 for each bin (Laureijs et al 2011;Euclid Collaboration et al 2020;Tutusaus et al 2020;Taylor et al 2021;Euclid Collaboration et al 2022). We arbitrarily select two of these ten tomographic bins (0.65 ≤ z < 0.79 and 1.54 ≤ z < 1.83) to define the weak lensing tracers for the underlying theoretical angular power spectra.…”
Section: Simulationmentioning
confidence: 99%