data is considered a level 3 (L3) data product.

Power spectra from an approximate hour long interval ($2^{20}$ samples at 292.969 Sa/s) starting 11/05/2018T00:00 during the first PSP perihelion is highlighted in Figure \[merging\_spect\] to demonstrate the results of our calibration and merging algorithm. Power spectra for each of the MAG, SCM, and SCaM time series are computed as an ensemble average of eight power spectra of $2^{17}$ samples. Figure \[merging\_spect\] additionally shows noise-floors associated with the MAG and SCM instruments. Good agreement is observed between the merged data and spectra from either individual instrument. The in-flight observed noise-floor of the MAGo is consistent with on-ground measurements. The SCM noise floor performs similarly to preflight measurements; a slight increase in the sensitivity is observed relative to ground testing which is attributable to a decrease in thermal noise in the instrument. Broadband spectral features near the crossover frequency, corresponding to coherent wave features at several Hz, are captured by both the MAG and SCM and are thus useful in analyzing the performance of the SCaM merging algorithm [@Bale2019; @Bowen2019]. Digital filters are applied to bandpass the MAG, SCM, and merged SCaM time series to between 2 and 12 Hz in order 