  The recent claimed detection of g modes was obtained from the analysis of the
power spectrum of the time series of round-trip travel time of p modes. The
goal of this paper is to reproduce these results on which the claims are based
for confirming or invalidating the detection of g modes with the method used to
make the claims. We computed the time series of round-trip travel time using
the procedure given in Fossat et al. (2017), and used different variations of
the times series for comparison. We used the recently calibrated GOLF data
(published in Paper I) with different sampling, different photomultipliers,
different length of data for reproducing the analysis. We also correlated the
power spectrum with an asymptotic model of g-mode frequencies in a similar
manner to Fossat and Schmider (2018). We devised a scheme for optimising the
correlation both for pure noise and for the GOLF data. We confirm the analysis
performed in Fossat et al. (2017) but draw different conclusions. Their claims
of detection of g modes cannot be confirmed when changing parameters such as
sampling interval, length of time series, or photomultipliers. Other instrument
such as GONG and BiSON do not confirm their detection. We also confirm the
analysis performed in Fossat and Schmider (2018), but again draw different
conclusions. For GOLF, the correlation of the power spectrum with the
asymptotic model of g-mode frequencies for $l=1$ and $l=2$ show a high
correlation at lag=0 and at lag corresponding to the rotational splitting
$\nu_l$, but the same occurs for pure noise due to the large number of peaks
present in the model. In addition, other very different parameters defining the
asymptotic model also provide a high correlation at these lags. We conclude
that the detection performed in Fossat and Schmider (2018) is an artefact of
the methodology.
