Determining PPN gamma with Gaia's astrometric core solution

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • David Hobbs - , Lund University (Autor:in)
  • Berry Holl - , Lund University (Autor:in)
  • Lennart Lindegren - , Lund University (Autor:in)
  • Frederic Raison - , European Space Agency - ESA (Autor:in)
  • Sergei Klioner - , Professur für Astronomie (Autor:in)
  • Alexey Butkevich - , Professur für Astronomie (Autor:in)

Abstract

The ESA space astrometry mission Gala, due for launch in early 2012, will in addition to its huge output of fundamental astrometric and astrophysical data also provide stringent tests of general relativity. In this paper we present an updated analysis of Gaia's capacity to measure the PPN parameter gamma as part of its core astrometric solution. The analysis is based on small-scale astrometric solutions taking into account the simultaneous determination of stellar astrometric parameters and the satellite attitude. In particular, the statistical correlation between PPN gamma and the stellar parallaxes is considered. Extrapolating the results to a full-scale solution using some 100 million stars, we find that PPN gamma could be obtained to about 10(-6), which is significantly better than today's best estimate from the Cassini mission of 2 x 10(-5).

Details

OriginalspracheEnglisch
TitelRELATIVITY IN FUNDAMENTAL ASTRONOMY: DYNAMICS, REFERENCE FRAMES, AND DATA ANALYSIS
Redakteure/-innenSA Klioner, PK Seidelmann, MH Soffel
Herausgeber (Verlag)Cambridge University Press
Seiten315-+
Seitenumfang2
ISBN (Print)978-0-521-76481-0
PublikationsstatusVeröffentlicht - 2010
Peer-Review-StatusJa

Publikationsreihe

ReiheIAU Symposium Proceedings Series
Band261
ISSN1743-9213

Konferenz

Titel261st Symposium of the International-Astronomical-Union
Dauer27 April - 1 Mai 2009
StadtVirginia Beach
LandHeiliger Stuhl/Vatikan

Externe IDs

Scopus 84864434714

Schlagworte

Schlagwörter

  • Astrometry, relativity, gravitation, data analysis, HIPPARCOS DATA