Cosmological forecasts with the clustering of weak lensing peaks. Issue 4 (30th April 2022)
- Record Type:
- Journal Article
- Title:
- Cosmological forecasts with the clustering of weak lensing peaks. Issue 4 (30th April 2022)
- Main Title:
- Cosmological forecasts with the clustering of weak lensing peaks
- Authors:
- Davies, Christopher T
Cautun, Marius
Giblin, Benjamin
Li, Baojiu
Harnois-Déraps, Joachim
Cai, Yan-Chuan - Abstract:
- ABSTRACT: Maximizing the information that can be extracted from weak lensing (WL) measurements is a key goal for upcoming stage IV surveys. This is typically achieved through statistics that are complementary to the cosmic shear two-point correlation function, the most well established of which is the WL peak abundance. In this work, we study the clustering of WL peaks, and present parameter constraint forecasts for an lsst -like survey. We use the cosmo -SLICS w CDM simulations to measure the peak two-point correlation function for a range of cosmological parameters, and use the simulation data to train a Gaussian process regression emulator that is applied to generate likelihood contours and provide parameter constraint forecasts from mock observations. We investigate the dependence of the peak two-point correlation function on the peak height, and find that the clustering of low-amplitude peaks is complementary to that of high-amplitude peaks. Consequently, their combination gives significantly tighter constraints than the clustering of high peaks alone. The peak two-point correlation function is significantly more sensitive to the cosmological parameters h and w 0 than the peak abundance, and when the probes are combined, constraints on Ωm, S 8, h, and w 0 improve by at least a factor of 2, relative to the peak abundance alone. Finally, we compare the forecasts for WL peaks and voids, and show that the two are also complementary; both probes can offer better constraintsABSTRACT: Maximizing the information that can be extracted from weak lensing (WL) measurements is a key goal for upcoming stage IV surveys. This is typically achieved through statistics that are complementary to the cosmic shear two-point correlation function, the most well established of which is the WL peak abundance. In this work, we study the clustering of WL peaks, and present parameter constraint forecasts for an lsst -like survey. We use the cosmo -SLICS w CDM simulations to measure the peak two-point correlation function for a range of cosmological parameters, and use the simulation data to train a Gaussian process regression emulator that is applied to generate likelihood contours and provide parameter constraint forecasts from mock observations. We investigate the dependence of the peak two-point correlation function on the peak height, and find that the clustering of low-amplitude peaks is complementary to that of high-amplitude peaks. Consequently, their combination gives significantly tighter constraints than the clustering of high peaks alone. The peak two-point correlation function is significantly more sensitive to the cosmological parameters h and w 0 than the peak abundance, and when the probes are combined, constraints on Ωm, S 8, h, and w 0 improve by at least a factor of 2, relative to the peak abundance alone. Finally, we compare the forecasts for WL peaks and voids, and show that the two are also complementary; both probes can offer better constraints on S 8 and w 0 than the shear correlation function by roughly a factor of 2. … (more)
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 513:Issue 4(2022)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 513:Issue 4(2022)
- Issue Display:
- Volume 513, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 513
- Issue:
- 4
- Issue Sort Value:
- 2022-0513-0004-0000
- Page Start:
- 4729
- Page End:
- 4746
- Publication Date:
- 2022-04-30
- Subjects:
- gravitational lensing: weak -- methods: data analysis -- cosmology: theory -- large-scale structure of universe
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stac1204 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
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British Library HMNTS - ELD Digital store - Ingest File:
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