A New Model to Predict Weak Lensing Peak Counts. Issue Volume 10:Issue S306(2014) (1st July 2015)
- Record Type:
- Journal Article
- Title:
- A New Model to Predict Weak Lensing Peak Counts. Issue Volume 10:Issue S306(2014) (1st July 2015)
- Main Title:
- A New Model to Predict Weak Lensing Peak Counts
- Authors:
- Lin, Chieh-An
Kilbinger, Martin - Editors:
- Heavens, A. F.
Starck, J.-L.
Krone-Martins, A. - Abstract:
- Abstract: 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.
- Is Part Of:
- Proceedings of the International Astronomical Union. Volume 10:Issue S306(2014)
- Journal:
- Proceedings of the International Astronomical Union
- Issue:
- Volume 10:Issue S306(2014)
- Issue Display:
- Volume 10, Issue 306 (2014)
- Year:
- 2014
- Volume:
- 10
- Issue:
- 306
- Issue Sort Value:
- 2014-0010-0306-0000
- Page Start:
- 107
- Page End:
- 109
- Publication Date:
- 2015-07-01
- Subjects:
- peak counting, -- mass function, -- weak lensing
Astronomy -- Congresses
Astronomy -- Periodicals
520 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=IAU ↗
- DOI:
- 10.1017/S1743921314013477 ↗
- Languages:
- English
- ISSNs:
- 1743-9213
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 18.xml