In pursuit of dark energy several ambitions space and ground based surveys will cover most of the extragalactic sky with deep multiband imaging and spectroscopy over the next decade. Surveys with…

This is a $1,025,084.18 grant award from a Civilian federal agency to the California Institute of Technology (Caltech) for "Wide Field Studies of the Early Universe" research. The grant will support the curation and photometry of multi-wavelength data from NASA archives to enable studies of galaxy evolution in the context of upcoming dark energy surveys such as the Hyper-Suprime-Cam, Dark Energy Survey, and the future Large Synoptic Survey Telescope. This grant is not set aside for any specific business category, reflecting Caltech's research capabilities across astrophysics and cosmology. As a leading private research university, Caltech frequently collaborates with major government agencies like NASA and DARPA on advanced scientific research and technology development projects through federal contracts and grants.

In pursuit of dark energy several ambitions space and ground based surveys will cover most of the extragalactic sky with deep multiband imaging and spectroscopy over the next decade. Surveys with hyper-suprime-cam (HSC) and the dark energy survey (DES) are already underway and starting in ~2021, the large synoptic survey telescope (lsst) and euclid will extend these existing surveys to unprecedented depths and resolution at 0.3-2 microns while the dark energy spectroscopic instrument (desi) and the subaru prime-focus-spectrograph (PFS) will add spectra. These dark energy surveys will enable direct links between dark matter halo properties (mass, and location in the halo) to observed galaxy properties, such as stellar mass, star formation rate, and active galactic nuclie (AGN) content. But, measuring galaxy properties requires the extensive multi-wavelength data contained in the NASA archive. We propose to create a system that will take an external catalog from a dark energy survey as input, then curate and photometer all existing extragalactic XMM, chandra, galex, spitzer, wise, and herschel data. This will be done using the science ready images in the NASA archives and priors-based photometry based on best practices. The system will be contained in a virtual machine that can be connected to any existing pipeline and utilized by the community. We will provide extensive documentation for this system in the form of scientific papers and jupyter (ipython) notebooks which will enable general users to deploy IT. With this system we propose a range of galaxy evolution studies at 2