NOAO >   Observing Info >   Approved Programs >   2016A-0344

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Program Information for 2016A-0344


PI: Alessandro Rettura, IPAC, arettura@ipac.caltech.edu
Address: MS 100-22, 770 AVENUE, PASADENA, CA 91125 USA

CoI: Adam Stanford, UC Davis
CoI: Mark Brodwin, U. of Missouri, Kansas City
CoI: Anthony Gonzalez, U. of Florida
CoI: Daniel Stern, CalTech-JPL
CoI: Matthew Ashby, Harvard-Smithsonian Center for Astrophysics
CoI: James Bartlett, CalTech-JPL
CoI: Lindsay Bleem, Argonne National Laboratory
CoI: Simona Mei, Paris Observatory
CoI: Dave Nair, U. of Missouri, Kansas City
CoI: Piero Rosati, Universita di Ferrara
CoI: Krystal Tyler, U. of Missouri, Kansas City

Title: The Gemini survey of the most distant galaxy clusters in the ~100deg2 Spitzer-SPT Deep Field

Abstract: We have identified a mass-selected sample of 279 distant cluster candidates in one of the largest (~100deg2) areas ever surveyed by Spitzer, the Spitzer-SPT Deep Field (SSDF). The uniqueness of the SSDF survey resides not just in its area, but also in its coverage by deep observations for the Sunyaev-Zel'dovich Effect by the South Pole Telescope (SPT), and by deep X-ray observations from the XMM-Newton XXL Survey, enabling systematic studies of the cluster galaxy populations as a function of galaxy cluster mass at an important cosmic epoch. Here we request GMOS-S optical imaging in z-band and FLAMINGOS-2 near-infrared imaging in H-band to photometrically identify the 10 most significant candidate clusters, with estimated redshits 1.3 < z < 2.0, doubling the number of known systems at these redshift. GMOS-S and F-2 data will be instrumental in characterizing a well-defined sample that provides the ideal laboratory to understand how and when the most massive galaxies assemble their stellar mass, and the mechanism that led to a halt in their star formation as a function of redshift, local density and cluster mass.

Program Type: Standard/Extragalactic

Scheduled Nights:
Run 1 (2016A):  GEM-SQ/GMOSS -- 13hrs band 1 (GS-2016A-Q-8)


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NOAO >   Observing Info >   Approved Programs >   2016A-0344

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