Searching for modified growth patterns with tomographic surveys

By Gong-Bo Zhao, Levon Pogosian, A. Silvestri, J. Zylberberg. 2008

208 citations recorded by the source corpus.

In alternative theories of gravity, designed to produce cosmic acceleration at the current epoch, the growth of large scale structure can be modified. We study the potential of upcoming and future tomographic surveys such as Dark Energy Survey (DES) and Large Synoptic Survey Telescope (LSST), with the aid of cosmic microwave background (CMB) and supernovae data, to detect departures from the growth of cosmic structure expected within general relativity. We employ parametric forms to quantify the potential time- and scale-dependent variation of the effective gravitational constant and the differences between the two Newtonian potentials. We then apply the Fisher matrix technique to forecast the errors on the modified growth parameters from galaxy clustering, weak lensing, CMB, and their cross correlations across multiple photometric redshift bins. We find that even with conservative assumptions about the data, DES will produce nontrivial constraints on modified growth and that LSST will do significantly better.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/7068c47a459767d2526f139c33df7a2c9a20376e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

In Instrumentation

Citations in the corpus

Cosmology and Fundamental Physics with the Euclid Satellite (2012, background): “These equations represent a particular example of a general parameterization introduced in [841, 174, 1281].”
Beyond the Cosmological Standard Model (2014, unknown): “In [949] and elsewhere, it was argued that a specific scale dependence in these MG parameters is expected for scalar-tensor theories.”
f(R) Theories (2010, methodology): “Since the law of gravity gets modified on large distances in f (R) models, this leaves several interesting observational signatures such as the modification to the spectra of galaxy clustering [146, 74, 548, 526, 251, 597, 493], CMB [627, 548, 382, 549], and weak lensing [595, 528].”
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: a tomographic measurement of cosmic structure growth and expansion rate based on optimal redshift weights (2018, methodology): “…in this work can be used to extract the light-cone information from forthcoming deep redshift surveys including DESI,8 PFS, 9 and Euclid,10 which is crucial for cosmological studies of dark energy (Zhao et al. 2012, 2017a), neutrino mass, and modified gravity theories (Zhao et al. 2009a,b).”
Cosmological tests of modified gravity (2015, methodology): “Principal Component Analysis (PCA) provides a way to de-correlate the errors by creating linear combinations of these parameters [231, 232, 233].”
The Intrinsic Alignment of Galaxies and its Impact on Weak Gravitational Lensing in an Era of Precision Cosmology (2014, background): “…(2008); Beynon et al. (2010); Fu et al. (2009); Hearin and Zentner (2009); Ishak and Dossett (2009); Song and Doré (2009); Thomas et al. (2009); Zhao et al. (2009); Bean and Tangmatitham (2010); Daniel et al. (2010); Jain and Khoury (2010); Tereno et al. (2011); Dossett et al. (2011); Thomas…”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Constraining modified gravity (2016, methodology): “We modify the publicly available MGCAMB code (Hojjati et al. 2011; Zhao et al. 2009), which itself is a modification of the Code for Anisotropies in the Microwave Background (CAMB) (Lewis et al. 2000), to include these models.”
Approaches to understanding cosmic acceleration (2009, methodology): “considering only linear scales), it is hoped [201], that DES will produce nontrivial constraints on modified growth, and that LSST will do even better (with ≈10% relative errors in the parameters).”
Effective field theory of dark energy: A review (2019, methodology): “When testing gravity models with cosmological data using statistical tools [105, 67, 68, 69], these viability criteria can reduce the parameter space to explore [79, 106, 107] or even dominate over the constraining power of data [68, 45, 107].”