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Black Hole

Lensing of space time around a black hole. At Oxford we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Professor Pedro Ferreira

Professor of Astrophysics

Research theme

  • Particle astrophysics & cosmology

Sub department

  • Astrophysics

Research groups

  • Beecroft Institute for Particle Astrophysics and Cosmology
pedro.ferreira@physics.ox.ac.uk
Telephone: 01865 (2)73366
Denys Wilkinson Building, room 757
  • About
  • Publications

MAXIMA: Millimeter-wave anisotropy experiment imaging array

RELATIVISTIC ASTROPHYSICS 586 (2001) 214-216

Authors:

C Winant, M Abroe, P Ade, A Balbi, D Barbosa, J Bock, J Borrill, A Boscaleri, J Collins, P de Bernardis, P Ferreira, S Hanany, V Hristov, AH Jaffe, B Johnson, AE Lange, AT Lee, PD Mauskopf, CB Netterfield, S Oh, E Pascale, B Rabii, PL Richards, R Stompor, GF Smoot, JHP Wu

Maps of the CMB temperature anisotropy: From the time-ordered data to the maximum-likelihood solution

MINING THE SKY (2001) 414-420

Authors:

R Stompor, A Balbi, J Borrill, P Ferreira, S Hanany, A Jaffel, A Lee, S Oh, B Rabii, P Richards, G Smoot, C Winant, JHP Wu

Novel methods in the statistical analysis of cosmic microwave background data

NEW ASTRONOMY REVIEWS 45:4-5 (2001) 293-302

The trispectrum of the 4 year COBE DMR data

ASTROPHYSICAL JOURNAL 563:2 (2001) L99-L102

Authors:

M Kunz, AJ Banday, PG Castro, PG Ferreira, KM G贸rski

From the time-ordered data to the Maximum-Likelihood temperature maps of the Cosmic Microwave Backgorund anisotropy

ArXiv astro-ph/0012418 (2000)

Authors:

R Stompor, A Balbi, J Borrill, P Ferreira, S Hanany, A Jaffe, A Lee, S Oh, B Rabii, P Richards, G Smoot, C Winant, J-HP Wu

Abstract:

We review selected methods of the Cosmic Microwave Background data analysis appropriate for the analysis of the largest currently available data sets. We focus on techniques of the time-ordered data manipulation and map making algorithms based on the maximum-likelihood approach. The presented methods have been applied to the MAXIMA data analysis (Hanany et al 2000) and the description of the algorithms is illustrated with the examples drawn from that experience. The more extensive presentation of the here-mentioned issues will be given in the forthcoming paper (Stompor et al 2001).

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