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Fitting model spectral energy distributions (SED) to galaxy photometric datais a widely used method to recover galaxy parameters from galaxy surveys.However, the parameter space used to describe galaxies is wide andinterdependent, and distinctions between real and spurious correlations thatare found between these parameters can be difficult to discern. In this work,we use the SED fitting code BAGPIPES to investigate degeneracies between galaxyparameters and the effect of the choice of different sets of photometric bands.In particular, we focus on optical to infrared wavelength coverage, and on twoparameters describing the galaxies' dust attenuation law: $A_V$ and $\delta$,which characterize dust column density and the slope of a flexible dustattenuation law, respectively. We demonstrate that 1) a degeneracy between theresidual (the difference between truth and recovered value) $A_V$ and starformation rate exists, but this is lifted when WISE bands are included; 2)BAGPIPES is able to accurately recover the input $A_V$ and $\delta$distributions and relations (differences in slope of less than 1.7$\sigma$ fora flat relation, less than 1.2$\sigma$ for an observationally-motivatedrelation from Salim et al. 2018) and is not introducing spurious correlationsbetween these parameters. Our findings suggest that the information needed toconstrain $A_V$ and $\delta$ well enough individually exists in the data,especially when IR is added. This indicates that recent works finding acorrelation between $A_V$ and $\delta$ are not being misled by fittingdegeneracies from their SED fitting code.

Measuring the dust attenuation law of galaxies using photometric data