2017
DOI: 10.1103/physrevd.95.024018
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Modeling void abundance in modified gravity

Abstract: Reprinted with permission from the American Physical Society: Physical Review D, 95, 024018 c (2017) by the American Physical Society. Readers may view, browse, and/or download material for temporary copying purposes only, provided these uses are for noncommercial personal purposes. Except as provided by law, this material may not be further reproduced, distributed, transmitted, modied, adapted, performed, displayed, published, or sold in whole or part, without prior written permission from the American Physic… Show more

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Cited by 56 publications
(74 citation statements)
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References 98 publications
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“…A.5. -As was shown by Voivodic et al (2017), the linear power spectrum is larger in MG at small scales. This effect translates into a matter correlation function that is also larger at intermediate and small scales in stronger MG cases.…”
Section: Constraining Modified Gravitymentioning
confidence: 58%
See 3 more Smart Citations
“…A.5. -As was shown by Voivodic et al (2017), the linear power spectrum is larger in MG at small scales. This effect translates into a matter correlation function that is also larger at intermediate and small scales in stronger MG cases.…”
Section: Constraining Modified Gravitymentioning
confidence: 58%
“…In this section we present the phenomenological expressions we used to describe the void abundance f (σ), the void density profile ρ(r , r 0.2 ), and the void-matter linear bias b(σ). Here, σ 2 = σ 2 (R) is the variance of the linear matter power spectrum smoothed on a scale R, which was computed for the ΛCDM and MG cases as described in Voivodic et al (2017).…”
Section: Void Observablesmentioning
confidence: 99%
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“…32 may be important in specific situations and thus cannot be taken by granted in general. This may be important in particular because voids and their outer limits, where ∇ · F Ψ approaches zero, were discussed in several opportunities as relevant probes of modified gravity (Llinares 2011;Cai et al 2015;Barreira et al 2015;Voivodic et al 2017;Falck et al 2018). An additional result that comes from Eq.…”
Section: Achieving a Repulsive Fifth Forcementioning
confidence: 99%