CWRU PAT Coffee Agenda

Tuesdays 10:30 - 11:30 | Fridays 11:30 - 12:30

+2 Unification of Dark Matter - Dark Energy in Generalized Galileon Theories.

kxp265 +1 lxj154 +1

+2 Screening in perturbative approaches to LSS.

jbm120 +1 mro28 +1

+1 $f(R)$ constant-roll inflation.

cxt282 +1

+1 Maximum a posteriori CMB lensing reconstruction.

mro28 +1

+1 No evidence for a significant AGN contribution to cosmic hydrogen reionization.

mro28 +1

Showing votes from 2017-04-25 11:30 to 2017-04-28 12:30 | Next meeting is Tuesday May 19th, 10:30 am.

users

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astro-ph.CO

  • $f(R)$ constant-roll inflation.- [PDF] - [Article]

    Hayato Motohashi, Alexei A. Starobinsky
     

    The previously introduced class of two-parametric phenomenological inflationary models in General Relativity in which the slow-roll assumption is replaced by the more general, constant-roll condition is generalized to the case of $f(R)$ gravity. The simple constant-roll condition is defined in the original, Jordan frame, and exact expressions for the scalaron potential in the Einstein frame, for the function $f(R)$ (in the parametric form) and for inflationary dynamics are obtained. The region of the model parameters permitted by the latest observational constraints on the scalar spectral index and the tensor-to-scalar ratio of primordial metric perturbations generated during inflation is determined.

  • Maximum a posteriori CMB lensing reconstruction.- [PDF] - [Article]

    Julien Carron, Antony Lewis
     

    Gravitational lensing of the CMB is a valuable cosmological signal that correlates to tracers of large-scale structure and acts as a important source of confusion for primordial $B$-mode polarization. State-of-the-art lensing reconstruction analyses use quadratic estimators, which are easily applicable to data. However, these estimators are known to be suboptimal, in particular for polarization, and large improvements are expected to be possible for high signal-to-noise polarization experiments. We develop a method and numerical code, $\rm{LensIt}$, that is able to find efficiently the most probable lensing map, introducing no significant approximations to the lensed CMB likelihood, and applicable to beamed and masked data with inhomogeneous noise. It works by iteratively reconstructing the primordial unlensed CMB using a deflection estimate and its inverse, and removing residual lensing from these maps with quadratic estimator techniques. Roughly linear computational cost is maintained due to fast convergence of iterative searches, combined with the local nature of lensing. The method achieves the maximal improvement in signal to noise expected from analytical considerations on the unmasked parts of the sky. Delensing with this optimal map leads to forecast tensor-to-scalar ratio parameter errors improved by a factor $\simeq 2 $ compared to the quadratic estimator in a CMB stage IV configuration.

astro-ph.HE

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astro-ph.GA

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astro-ph.IM

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gr-qc

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hep-ph

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hep-th

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hep-ex

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quant-ph

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other

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