Systematic Errors in Weak Lensing Cluster Mass Estimates

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

By providing mass estimates of galaxy clusters that do not rely on dynamical assumptions, weak gravitational lensing is a technique that complements mass estimates from traditional X-ray and optical methods. Employing a typical thin-lens approximation on sight lines sampling approximately 7,000 massive (M200 > 3x1014 Msun h-1), intermediate redshift (0.3 < z < 1) halos drawn from sky survey output of a LCDM Hubble Volume simulation, we examine the accuracy of weak lensing mass estimates. For a source galaxy population lying near or beyond z ˜ 1.5, we find that the simplest estimator based on the mean convergence within r200 yields masses that are biased high by ˜30 percent, with a dispersion ˜40 percent. We show that the bias, which is consistent in amplitude with previous estimates derived from smaller simulated samples, arises from correlated mass lying within 50 Mpc h-1 of the halo center while the variance arises from mass lying at larger distances along the line of sight. We find that the errors in estimated mass are only weakly dependent on halo mass and redshift, and are insensitive to halo orientation, suggesting that these error estimates will not depend strongly on cluster sample selection.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Systematic Errors in Weak Lensing Cluster Mass Estimates does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Systematic Errors in Weak Lensing Cluster Mass Estimates, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systematic Errors in Weak Lensing Cluster Mass Estimates will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1644306

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.