XMM-Newton Large Programme Details



PROPOSAL OVERVIEW
Proposal Title Extreme growth and feedback in compact objects: the XMM-Newton legacy
Proposal Category Isolated and Binary Compact Objects & their Evolution
Proposal Type LARGE PROGRAM
Proposal Id 096127
Number of Observations 16
Total exposure time (ks) 1424

PI DETAILS
PI Dr. Ciro Pinto
Institute INAF IASF-Palermo
Country ITALY

CO-INVESTIGATORS
Name Country
F. Pintore ITALY
M. Del Santo ITALY
A. D'A? ITALY
G. Rodriguez-Castillo ITALY
A. Wolter ITALY
M. Bachetti ITALY
R. Soria ITALY
P. Esposito ITALY
A. Tiengo ITALY
F. Fuerst SPAIN
M. Middleron UNITED KINGDOM
W. Alston UNITED KINGDOM
T. Roberts UNITED KINGDOM
J. Miller UNITED STATES
D. Barret FRANCE
M. Guainazzi NETHERLANDS
F. Barra ITALY
Y. Xu CANADA
G. Israel ITALY

ABSTRACT
Super-Eddington accretion is the most extreme and yet least understood phase of the history of a compact object. Here strong radiation pressure blows powerful winds which take away a significant fraction of matter and energy thereby influencing the growth of compact objects, the binary systems and the star formation in their surroundings. Ultraluminous X-ray sources (ULXs) are the most concrete examples of super-Eddington accretors and give the unique opportunity to study such regime in great detail. Here we propose a XMM-Newton program to build the first statistical sample of ultrafast outflows in ULXs, and quantify the fundamental-plane relation between mechanical power, X-ray luminosity and spectral hardness. This will also shed new light on black holes? accelerated growth in the early Universe.

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