XMM-Newton Large Programme Details



PROPOSAL OVERVIEW
Proposal Title X-EDFF
Proposal Category Cosmology, Extragalactic Deep Fields and Large Extragalactic Areas
Proposal Type UNDEFINED
Proposal Id 094121
Number of Observations 2
Total exposure time (ks) 3576

PI DETAILS
PI Dr. Marguerite Pierre
Institute CEA Paris-Saclay
Country FRANCE

CO-INVESTIGATORS
Name Country
J. Brinchmann PORTUGAL
L. Chiappetti ITALY
J. Cuillandre FRANCE
S. Ettori ITALY
N. Hatch UNITED KINGDOM
H. Hoekstra NETHERLANDS
E. Koulouridis GREECE
M. Maturi GERMANY
S. Maurogordato FRANCE
Y. Mellier FRANCE
L. Moscardini ITALY
T. Nagano JAPAN
F. Pacaud GERMANY
E. Piconcelli ITALY
S. Pires FRANCE
E. Pouliasis GREECE
T. Schrabback AUSTRIA
Y. Toba JAPAN
I. Valtchanov SPAIN
C. Vignali ITALY

ABSTRACT
The 10 deg2 Euclid Deep Fornax Field (EDFF) will be the foremost extragalactic medium-area deep field due to its unique multi-lambda coverage. We aim to provide the X-ray view by mapping the entire EDFF at 40ks depth for untold legacy value. The XMM data and associated surveys will enable major advances in the study of AGN and galaxy clusters, including: deep characterisation of Euclid clusters and their selection function; robust measures of cluster scaling relations to z=1.5 and the group regime; the study of rare clusters and AGN in a variety of environments; and revealing the link between AGN feedback and star formation to z>3. We will deliver a complete, validated multi-lambda legacy dataset that will greatly enhance the AGN and cluster science from the 15,000 deg2 Euclid Wide survey.

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