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We present the combination of optical data from the Science Verificationphase of the Dark Energy Survey (DES) with near infrared data from the ESOVISTA Hemisphere Survey (VHS). The deep optical detections from DES are used toextract fluxes and associated errors from the shallower VHS data. Joint 7-band($grizYJK$) photometric catalogues are produced in a single 3 sq-deg DECamfield centred at 02h26m$-$04d36m where the availability of ancillarymulti-wavelength photometry and spectroscopy allows us to test the dataquality. Dual photometry increases the number of DES galaxies with measured VHSfluxes by a factor of $\sim$4.5 relative to a simple catalogue level matchingand results in a $\sim$1.5 mag increase in the 80\% completeness limit of theNIR data. Almost 70\% of DES sources have useful NIR flux measurements in thisinitial catalogue. Photometric redshifts are estimated for a subset of galaxieswith spectroscopic redshifts and initial results, although currently limited bysmall number statistics, indicate that the VHS data can help reduce thephotometric redshift scatter at both $z<0.5$ and $z>1$. We present exampleDES+VHS colour selection criteria for high redshift Luminous Red Galaxies(LRGs) at $z\sim0.7$ as well as luminous quasars. Using spectroscopicobservations in this field we show that the additional VHS fluxes enable acleaner selection of both populations with $<$10\% contamination from galacticstars in the case of spectroscopically confirmed quasars and $<0.5\%$contamination from galactic stars in the case of spectroscopically confirmedLRGs. The combined DES+VHS dataset, which will eventually cover almost 5000sq-deg, will therefore enable a range of new science and be ideally suited fortarget selection for future wide-field spectroscopic surveys.

Combining Dark Energy Survey Science Verification Data with Near Infrared Data from the ESO VISTA Hemisphere Survey