We present an enhanced version of the multiwavelength spectral modeling code MAGPHYS that allows the estimation of galaxy photometric redshift and physical properties ( e.g. , stellar mass , star formation rate , dust attenuation ) simultaneously , together with robust characterization of their uncertainties .
The self-consistent modeling over ultraviolet to radio wavelengths in MAGPHYS+photo - z is unique compared to standard photometric redshift codes .
The broader wavelength consideration is particularly useful for breaking certain degeneracies in color vs. redshift for dusty galaxies with limited observer-frame ultraviolet and optical data ( or upper limits ) .
We demonstrate the success of the code in estimating redshifts and physical properties for over 4,000 infrared-detected galaxies at 0.4 < z < 6.0 in the COSMOS field with robust spectroscopic redshifts .
We achieve high photo- z precision ( \sigma _ { \Delta z / ( 1 + z _ { \mathrm { spec } } ) } \lesssim 0.04 ) , high accuracy ( i.e. , minimal offset biases ; \mathrm { median } ( \Delta z / ( 1 + z _ { \mathrm { spec } } ) ) \lesssim 0.02 ) , and low catastrophic failure rates ( \eta \simeq 4 \% ) over all redshifts .
Interestingly , we find that a weak 2175Å absorption feature in the attenuation curve models is required to remove a subtle systematic z _ { \mathrm { phot } } offset ( z _ { \mathrm { phot } } - z _ { \mathrm { spec } } \simeq - 0.03 ) that occurs when this feature is not included .
As expected , the accuracy of derived physical properties in MAGPHYS+photo - z decreases strongly as redshift uncertainty increases .
The all-in-one treatment of uncertainties afforded with this code is beneficial for accurately interpreting physical properties of galaxies in large photometric datasets .
Finally , we emphasize that MAGPHYS+photo - z is not intended to replace existing photo- z codes , but rather offer flexibility to robustly interpret physical properties when spectroscopic redshifts are unavailable .
The MAGPHYS+photo - z code is publicly available online .