Issue |
A&A
Volume 383, Number 1, FebruaryIII 2002
|
|
---|---|---|
Page(s) | 118 - 124 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361:20011722 | |
Published online | 15 February 2002 |
Parameterised models for the lensing cluster Abell 1689
1
Max-Planck-Institut für Astrophysik, Karl-Schwarzschild Str 1, Garching bei München, Germany
2
Institut für Astrophysik und Extraterrestrische Forschung der Universität Bonn, Auf dem Hügel 71, 53121 Bonn, Germany
Corresponding author: L. J. King, lindsay@astro.uni-bonn.de
Received:
20
July
2001
Accepted:
3
December
2001
Here we apply a recently developed maximum likelihood method for
determining best-fit parameterised lens models to observations of the
rich lensing cluster Abell 1689. The observations that we use were taken
with the ESO/MPG Wide Field Imager. The wide field-of-view enables us
to use the weakly lensed images of faint background objects on an
unsurpassed range of scales, from the
cluster centre, to determine best-fit models for the 1-parameter singular
isothermal sphere (SIS), 2-parameter general power-law and NFW
models, and 3-parameter singular isothermal ellipsoid (SIE).
The best-fit SIS has an Einstein radius
i.e. a velocity dispersion
in an
,
cosmology. For the best-fit NFW
profile, the virial radius
and the
concentration parameter
, giving a virial mass
. At
, the slope of the best-fit
power-law model is slightly flatter than isothermal (
), indicating that the galaxies most
important in the fitting procedure lie inside the scale radius
rs. By fitting an SIE, the deviation of the projected mass
distribution from circular symmetry is evident, with a best-fit axial
ratio
.
Key words: dark matter / gravitational lensing / large-scale structure of Universe / galaxies: clusters: general / methods: statistical
© ESO, 2002
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.