Computer Science
Scientific paper
Mar 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008sptz.prop50510h&link_type=abstract
Spitzer Proposal ID #50510
Computer Science
Scientific paper
We propose to conduct a wide-field (~2 square degrees) 24/70um Spitzer/MIPS survey of obscured star-formation within the Shapley supercluster, the richest and the most dynamically active region in the local universe (z<0.1). Specifically we are targeting the region covered by the Shapley Optical Survey (SOS) which contains three rich Abell clusters and two poor clusters embedded in a filamentary structure and where there are multiple ongoing cluster mergers. The Spitzer data will complement extensive multi-wavelength observations in hand, including panoramic imaging in UV, optical, NIR, X-ray and radio, and high-S/N optical spectroscopy, and will be fundamental to our main science goals of understanding the level and nature of star-formation in local clusters. In particular the unprecedented sensitivity of MIPS to obscured star-formation will allow us to target the dwarf galaxy population which usually encounter the cluster environment while still gas-rich, and which make up the vast majority of starburst galaxies in cluster environments, as they are transformed in-situ by processes such as ram-pressure stripping and galaxy harassment. The MIPS data in conjunction with our existing datasets will enable us to: (i) determine how much of the star-formation within clusters is triggered by interactions with the cluster environment (mergers, fly-bys, ram-pressure from ICM) as opposed to that produced by normal infalling spiral galaxies whose star-formation has not yet been quenched by the cluster environment; and (ii) by correlating the global MIR-based SFRs with the level of substructure within the clusters, investigate in detail how obscured star-formation relates to the hierarchical assemby of structures. All of this can be acheived with a modest 13.8 hours. The Shapley supercluster is a uniquely dense and active environment in the local universe, and so the MIPS dataset will have an enduring legacy value for comparing obscured star-formation across the full range of environments.
Busarello Gianni
Gargiulo Adriana
Haines Christopher
La Barbera Francesco
Mercurio Amata
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