2018
DOI: 10.1093/mnras/sty2092
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Testing (modified) gravity with 3D and tomographic cosmic shear

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Cited by 36 publications
(28 citation statements)
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“…These are instead very important in the interpretation of data since substantial part of GC, CMB lensing and WL data originates from non-linear scales. A phenomenological way to mimic screening mechanisms has been recently introduced [141,208] which highlighted the urgency of the inclusion for nonlinearities in the data analysis as these have been proven to increase the constraints on the EFT functions [219]. In this regard, a number of pioneer work contributed to incorporate non-linear effects to the EFT framework [57,59,60].…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…These are instead very important in the interpretation of data since substantial part of GC, CMB lensing and WL data originates from non-linear scales. A phenomenological way to mimic screening mechanisms has been recently introduced [141,208] which highlighted the urgency of the inclusion for nonlinearities in the data analysis as these have been proven to increase the constraints on the EFT functions [219]. In this regard, a number of pioneer work contributed to incorporate non-linear effects to the EFT framework [57,59,60].…”
Section: Discussionmentioning
confidence: 99%
“…Since the EFT framework does not rely on a specific model but allows to make general prediction on large classes of models, it provides a powerful benchmark for forecasting the cosmological signals to which the future missions will give access to. In the following, we review the cosmological forecasts analyses performed using the pure EFT approach [217,199,218,65,216,219,130]. Also in this case, the class of models that has been largely explored belongs to the pure Horndeski models.…”
Section: Forecasts With Next Generation Surveysmentioning
confidence: 99%
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“…parameters Ω cdm , Ω b , θ s , A s , n s and τ reio -for technical details regarding the MCMC implementation (as well as for additional details on the implementation and use of the data sets involved) see [34]. For related cosmological parameter constraints on deviations from GR using general parameterised approaches and a variety of (current and forecasted) experimental data, see [17,18,34,[48][49][50][51][52][53][54][55][56][57][58][59][60] All the constraints computed here assume α T = 0 as a prior to ensure compatibility with the speed of gravity constraints from GW170817 (as discussed in detail above), but we consider constraints with and without the further prior (7) from requiring the absence of GW-induced gradient instabilities. For reference throughout the remainder of this section, we adopt the following shorthands in referring to the datasets we use (as well as the additional GW prior):…”
Section: Cosmological Parameter Constraintsmentioning
confidence: 99%
“…2 The structure of the code and the modifications with respect to the CLASS code are described in detail in the first hi_class paper [55]. hi_class can be used to explore different aspects of gravitational theories and their cosmological implications [66][67][68][69][70], test models against current data [19,[71][72][73] or in preparation for future experiments [36,74,75]. 3 hi_class has been cross-validated against other codes both implementing a general EFTDE framework (e.g.…”
Section: Horndeski's Theory and The Hi_class Codementioning
confidence: 99%