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Signatures of Non-Gaussianity in the Curvaton Model

Kari Enqvist, Tomo Takahashi

TL;DR

The paper investigates primordial non-Gaussianity in the curvaton model when the curvaton potential includes non-quadratic terms. Using the $ abla N$ formalism, it derives expressions for the bispectrum and trispectrum parameters, showing that $f_{ m NL}$ can be driven to very small values while the trispectrum parameter $g_{ m NL}$ becomes large and negative for small $r$, making the trispectrum a key observable. The authors demonstrate that $g_{ m NL}$ directly measures deviations from a purely quadratic potential, predicting magnitudes around $|g_{ m NL}|\,\sim\,O(10^4)-O(10^5)$ in plausible scenarios, with $ au_{ m NL}$ tied to $f_{ m NL}$ via $ au_{ m NL}=\frac{36}{25} f_{ m NL}^2$. These results imply that future observations, including Planck, could test MSSM-inspired curvaton models by targeting the trispectrum rather than the bispectrum.

Abstract

We discuss the signatures of non-Gaussianity in the curvaton model where the potential includes also a non-quadratic term. In such a case the non-linearity parameter f_NL can become very small, and we show that non-Gaussianity is then encoded in the non-reducible non-linearity parameter g_NL of the trispectrum, which can be very large. Thus the place to look for the non-Gaussianity in the curvaton model may be the trispectrum rather than the bispectrum. We also show that g_NL measures directly the deviation of the curvaton potential from the purely quadratic form. While g_NL depends on the strength of the non-quadratic terms relative to the quadratic one, we find that for reasonable cases roughly g_NL\sim O(-10^4)-O(-10^5), which are values that may well be accessible by future observations.

Signatures of Non-Gaussianity in the Curvaton Model

TL;DR

The paper investigates primordial non-Gaussianity in the curvaton model when the curvaton potential includes non-quadratic terms. Using the formalism, it derives expressions for the bispectrum and trispectrum parameters, showing that can be driven to very small values while the trispectrum parameter becomes large and negative for small , making the trispectrum a key observable. The authors demonstrate that directly measures deviations from a purely quadratic potential, predicting magnitudes around in plausible scenarios, with tied to via . These results imply that future observations, including Planck, could test MSSM-inspired curvaton models by targeting the trispectrum rather than the bispectrum.

Abstract

We discuss the signatures of non-Gaussianity in the curvaton model where the potential includes also a non-quadratic term. In such a case the non-linearity parameter f_NL can become very small, and we show that non-Gaussianity is then encoded in the non-reducible non-linearity parameter g_NL of the trispectrum, which can be very large. Thus the place to look for the non-Gaussianity in the curvaton model may be the trispectrum rather than the bispectrum. We also show that g_NL measures directly the deviation of the curvaton potential from the purely quadratic form. While g_NL depends on the strength of the non-quadratic terms relative to the quadratic one, we find that for reasonable cases roughly g_NL\sim O(-10^4)-O(-10^5), which are values that may well be accessible by future observations.

Paper Structure

This paper contains 4 sections, 16 equations, 4 figures.

Figures (4)

  • Figure 1: (Left) Plot of $f_{\rm NL}$ as a function of $n$ for several values of $s$. (Right) Plot of $g_{\rm NL}$ as a function of $f_{\rm NL}$ for several values of $s$. Notice that $f_{\rm NL}$ and $n$ have one-to-one correspondence. In both panels, $r=0.01$.
  • Figure 2: (Left) Plot of the combination $\sigma_{\rm osc}\sigma^{\prime\prime}_{\rm osc}/\sigma^{\prime 2}_{\rm osc}$ as a function of $n$ for several values of $s$. (Right) Plot of the combination $\sigma_{\rm osc}^2\sigma^{\prime\prime\prime}_{\rm osc}/\sigma^{\prime 3}_{\rm osc}$ as a function of $n$ for several values of $s$.
  • Figure 3: Contours of $f_{\rm NL}$ are shown for the case $r=0.01$ in the $n$--$s$ plane. Note that the line of $f_{\rm NL}=0$ is not changed for small values of $r$.
  • Figure 4: (Top left) Plot of $-g_{\rm NL}$ as a function of the power $n$ for several values of $s$. The value of $r$ is fixed as $r=0.01$ in the top panels. (Top right) Plot of $-g_{\rm NL}$ as a function of $s$ for several values of the power $n$. (Bottom left) Contours of $g_{\rm NL}$ in the $n$--$r$ plane for the case $s=0.1$. (Bottom right) Contours of $g_{\rm NL}$ in the $n$--$r$ plane for the case $s=0.01$.