Detecting primordial features with LISA
Jacopo Fumagalli, Mauro Pieroni, S\'ebastien Renaux-Petel, Lukas T., Witkowski

TL;DR
This paper explores the potential of LISA to detect oscillations in the stochastic gravitational wave background caused by small-scale features during inflation, using principal component analysis and Fisher forecasts.
Contribution
It introduces a method to reconstruct and analyze oscillatory signals in gravitational wave data, assessing detection prospects for inflationary features with LISA.
Findings
Oscillations can be reconstructed with LISA for certain signals.
Detection accuracy depends on the amplitude of the gravitational wave peak.
Optimal detection occurs for oscillation frequencies between 4 and 10.
Abstract
Oscillations in the frequency profile of the stochastic gravitational wave background are a characteristic prediction of small-scale features during inflation. In this paper we present a first investigation of the detection prospects of such oscillations with the upcoming space-based gravitational wave observatory LISA. As a proof of principle, we show for a selection of feature signals that the oscillations can be reconstructed with LISA, employing a method based on principal component analysis. We then perform a Fisher forecast for the parameters describing the oscillatory signal. For a sharp feature we distinguish between the contributions to the stochastic gravitational wave background induced during inflation and in the post-inflationary period, which peak at different frequencies. We find that for the latter case the amplitude of the oscillation is expected to be measurable with…
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Taxonomy
TopicsCosmology and Gravitation Theories · Pulsars and Gravitational Waves Research · Scientific Research and Discoveries
