English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Amongst the multitude of inflationary models currently available, models thatlead to features in the primordial scalar spectrum are drawing increasingattention, since certain features have been found to provide a better fit tothe CMB data than the conventional, nearly scale invariant, primordialspectrum. In this work, we carry out a complete numerical analysis of twomodels that lead to oscillations over all scales in the scalar power spectrum.We consider the model described by a quadratic potential which is superposed bya sinusoidal modulation and the recently popular axion monodromy model. Sincethe oscillations continue even on to arc minute scales, in addition to the WMAPdata, we also compare the models with the small scale data from ACT. Though,both the models, broadly, result in oscillations in the spectrum,interestingly, we find that, while the monodromy model leads to a considerablybetter fit to the data in comparison to the standard power law spectrum, thequadratic potential superposed with a sinusoidal modulation does not improvethe fit to a similar extent. We also carry out forecasting of the parametersusing simulated Planck data for both the models. We show that the Planck mockdata performs better in constraining the model parameters as compared to thepresently available CMB datasets.

Oscillations in the inflaton potential: Complete numerical treatment and comparison with the recent and forthcoming CMB datasets