Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 334

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

First CMB constraints on the inflationary reheating temperature

Open access
Martin, Jérôme, Ringeval, Christophe·2010·Physical Review D

Abstract

We present the first Bayesian constraints on the single field inflationary reheating era obtained from cosmic microwave background (CMB) data. After demonstrating that this epoch can be fully characterized by the so-called reheating parameter, we show that it is constrained by the seven years Wilkinson microwave anisotropies probe (WMAP7) data for all large and small field models. An interesting feature of our approach is that it yields lower bounds on the reheating temperature which can be combined with the upper bounds associated with gravitinos production. For large field models, we find the energy scale of reheating to be higher than those probed at the Large Hadron Collider, ${\ensuremath{\rho}}_{\mathrm{reh}}^{1/4}>17.3\text{ }\text{ }\mathrm{TeV}$ at 95% of the confidence limit. For small field models, we obtain the two-sigma lower limits ${\ensuremath{\rho}}_{\mathrm{reh}}^{1/4}>890\text{ }\text{ }\mathrm{TeV}$ for a mean equation of state during reheating ${\overline{w}}_{\mathrm{reh}}=\ensuremath{-}0.3$ and ${\ensuremath{\rho}}_{\mathrm{reh}}^{1/4}>390\text{ }\text{ }\mathrm{GeV}$ for ${\overline{w}}_{\mathrm{reh}}=\ensuremath{-}0.2$. The physical origin of these constraints is pedagogically explained by means of the slow-roll approximation. Finally, when marginalizing over all possible reheating history, the WMAP7 data push massive inflation under pressure ($p<2.2$ at 95% of the confidence limit where $p$ is the power index of the large field potentials) while they slightly favor super-Planckian field expectation values in the small field models.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevd.82.023511

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Cited by

Metadata

Authors
Martin, J., & Ringeval, C.
Venue
Physical Review D
Published
2010-07-15
Volume
82
Issue
2
ISSN
  • 0556-2821 (ISSN-L)
  • 1550-7998
  • 1550-2368
OpenAlex
W2176082605
Cited by
334
References
8
FWCI
6.93
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.