  Narrowband galaxy surveys have recently gained interest as a promising method
to achieve the necessary accuracy on the photometric redshift estimate of
individual galaxies for stage-IV cosmological surveys. One key advantage is the
ability to provide higher spectral resolution information about galaxies that
should allow a more accurate and precise estimation of galaxy stellar
population properties. However, the impact of adding narrow-band photometry on
the stellar population properties estimate is largely unexplored. The scope of
this work is two-fold: on one side, leveraging the predictive power of
broad-band and narrow-band data to infer galaxy physical properties such as
stellar masses, ages, star formation rates and metallicities. On the other
hand, evaluating the improvement of performance in estimating galaxy properties
when we use narrow-band data instead of broad-band. In this work we measure the
stellar population properties of a sample of galaxies in the COSMOS field for
which both narrowband and broadband data are available. In particular, we
employ narrowband data from PAUS and broad-band data from CFHTLS. We use two
different spectral energy distribution fitting codes to measure galaxy
properties, namely CIGALE and Prospector. We find that the increased spectral
resolution of narrow-band photometry does not yield a substantial improvement
on constraining galaxy properties using spectral energy distribution fitting.
Still we find that we obtain a more diverse distribution of metallicities and
dust optical depths with cigale when employing the narrowband data. The effect
is not as prominent as expected, which we relate this to the low narrowband SNR
of a majority of the galaxies, the respective drawbacks of both codes as well
as the coverage only in the optical regime. The measured properties are
afterwards compared to the COSMOS2020 catalogue, showing good agreement.
