Geometry versus growth - Internal consistency of the flat ΛCDM model with KiDS-1000

Free Access

Table 2.

Data sets used in our analysis, and their properties.

Probe	Data set	Redshifts	Observable(s)	Data points
Weak lensing	KiDS-1000 (Kuijken et al. 2019;Hildebrandt et al. 2021;Giblin et al. 2021)	0.1−1.2 (photometric redshift)	Tomographic band power spectra (see Eq. (4))	120

Clustering – BAO	BOSS DR12 (Alam et al. 2017)	0.38–0.61	[H(z)]_fid/(α_∥); α_⊥[χ(z)]_fid (see Eq. (13))	6
	6dfGS (Jones et al. 2009)	0.106	r_s(z_d)/D_v	1
Clustering – RSD	BOSS DR12 (Alam et al. 2017)	0.38–0.61	fσ₈	3

Lyα – BAO	eBOSS DR14 (de Sainte Agathe et al. 2019; Blomqvist et al. 2019)	2.34	α_∥; α_⊥	6360

CMB – BAO	Planck 2018 TT, TE, EE + Lowl + lowE (Planck Collaboration VI 2020)	∼1100		1
CMB – Primordial	Planck 2018 TT, TE, EE + Lowl + lowE (Planck Collaboration VI 2020)	∼1100	A_s, n_s	2

Notes. We list the probe, the type of data selected, the redshift range of the probe, the choice of observable, and the size of the data vector. Expressions for the observables are provided in Sect. 2.2. A detailed description of the different data sets can be found in Sect. 3.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.