DeepDrill SHARK Simulated Lightcone Catalog

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will observe several Deep Drilling Fields (DDFs) to a greater depth and with a more rapid cadence than the main survey. The "DeepDrill" survey (Program ID 11086, P.I. Lacy) used the Spitzer Space Telescope Infrared Array Camera (IRAC) to observe three of the four currently defined DDFs in two bands, centered on 3.6 um and 4.5 um. These observations expand the area which was covered by an earlier set of observations in these three fields by the Spitzer Extragalactic Representative Volume Survey (SERVS). The combined DeepDrill and SERVS data cover the footprints of the LSST DDFs in the Extended Chandra Deep Field-South field (ECDFS), the ELAIS-S1 field (ES1), and the XMM-Large-Scale Structure Survey field (XMM-LSS).

The SHARK simulated lightcone was built from the SHARK semi-analytic model of galaxy formation and evolution (Lagos et al. 2018, 2019) to compare with the DeepDrill survey. This lightcone has an area of 107.9 deg^2, and a flux selection at the [3.6] band > 0.575 uJy (equivalent to an AB magnitude of 24.5), with the same redshift range of 0 < z < 6.

Note: as a catalog of simulated data, spatial queries are not expected to be very useful, and thus ra and dec have not been indexed. Consequently, positional searches will be very slow.

To access this resource via TAP, issue ADQL queries on the table named deepdrillshark.

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/irsa.ipac/Spitzer/Catalog/DeepDrillSHARK
Related Identifier https://irsa.ipac.caltech.edu/data/SPITZER/DeepDrill/docs/DeepDrill_descriptioin.pdf
Related Identifier https://irsa.ipac.caltech.edu/cgi-bin/Gator/nph-dd?catalog=deepdrillshark
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://irsa.ipac/Spitzer/Catalog/DeepDrillSHARK
Provenance
Creator Lacy et al.
Publisher NASA/IPAC Infrared Science Archive
Publication Year 2021
OpenAccess true
Contact IRSA Support Team <irsasupport(at)ipac.caltech.edu>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Interdisciplinary Astronomy; Natural Sciences; Observational Astronomy; Physics