XMM-Newton Large Programme Details



PROPOSAL OVERVIEW
Proposal Title Witnessing the culmination of structure formation in the Universe
Proposal Category Galaxies, Groups of Galaxies, Clusters of Galaxies and Superclusters
Proposal Type UNDEFINED
Proposal Id 082450
Number of Observations 148
Total exposure time (ks) 5973

PI DETAILS
PI Dr M S Arnaud-Ettori
Institute CEA-INAF
Country OTHER

CO-INVESTIGATORS
Name Country
M. Rossetti ITALY
D. Eckert GERMANY
F. Gastaldello ITALY
M. Sereno ITALY
B. Maughan UNITED KINGDOM
G. Pratt FRANCE
H. Aussel FRANCE
R. Barrena SPAIN
I. Bartalucci FRANCE
C. Jones UNITED STATES
R. Gavazzi FRANCE
L. Lovisari UNITED STATES
J. Melin FRANCE
S. Pires FRANCE
E. Pointecouteau FRANCE
A. Bonafede ITALY
D. Coe UNITED STATES
J. Sayers UNITED STATES
E. Rasia ITALY
F. Vazza ITALY

ABSTRACT
This is a Heritage program to study the ultimate products of structure formation in mass and time: a large, unbiased, signal-to-noise limited sample of galaxy clusters detected by Planck via their Sunyaev-Zel'dovich effect. Completing the high-fidelity XMM coverage of this sample has extraordinary legacy value. We will (i) obtain an unbiased vision of the statistical properties of the cluster population; (ii) uncover the provenance of non-gravitational heating; (iii) measure how their gas is shaped by the collapse into dark matter haloes and the mergers that built today's clusters; (iv) resolve the major uncertainties in mass determinations that limit cosmological inferences; (v) build the foundation for cluster science with next-generation surveys.

PAPERS
Authors marked in red are (co-)investigators in the proposal

Classification of papers are:
- CLASS 1:   papers that present specific XMM-Newton observations
- CLASS 2: papers that refer to published XMM-Newton results with complementary observations, follow-up analysis, or theoretical analysis
- CLASS 3: further deliveries which resulted from the program and which are made available to the community (e.g. source catalogues, processed images or spectra in public data base)
- CLASS 4: comments and suggestions from PI


There are no papers associated to this proposal