Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-23T22:20:58.987Z Has data issue: false hasContentIssue false

A New Model to Predict Weak Lensing Peak Counts

Published online by Cambridge University Press:  01 July 2015

Chieh-An Lin
Affiliation:
Service d'Astrophysique, CEA Saclay, Orme des Merisiers, Bât 709, 91191 Gif-sur-Yvette, France email: [email protected]
Martin Kilbinger
Affiliation:
Service d'Astrophysique, CEA Saclay, Orme des Merisiers, Bât 709, 91191 Gif-sur-Yvette, France email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Peak statistics from weak gravitational lensing have been shown to be a promising tool for cosmology. Here we propose a new approach to predict weak lensing peak counts. For an arbitrary cosmology, we draw dark matter halos from the halo mass function, and calculate the number of peaks from the projected halo mass distribution. This procedure is much faster than time-consuming N-body simulations. By comparing these “fast simulations” to N-body runs, we find that the peak abundance is in very good agreement. Furthermore, our model is able to discriminate cosmologies with different sets of parameters, using high signal-to-noise peaks (≳ 4). This encourages us to examine the optimal combinations of parameters to this approach in the future.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2015 

References

Becker, Matthew R. 2013, MNRAS, 435, 115CrossRefGoogle Scholar
Behroozi, P. S., Wechsler, R. H., & Wu, H.-Y. 2013, ApJ, 762, 109CrossRefGoogle Scholar
Fan, Z., Shan, H., & Liu, J. 2010, ApJ, 719, 1408Google Scholar
Hamana, T., Takada, M., & Yoshida, N. 2004, MNRAS, 350, 893Google Scholar
Jenkins, A., Frenk, C. S., White, S. D. M., Colberg, J. M., Cole, S., Evrard, A. E., Couchman, H. M. P., & Yoshida, N. 2001, MNRAS, 321, 372Google Scholar
Maturi, M., Angrick, C., Pace, F., & Bartelmann, M. 2010, A&A, 519, A23Google Scholar
Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, ApJ, 462, 563Google Scholar
Springel, V. 2005, MNRAS, 364, 1105CrossRefGoogle Scholar