A Caltech Library Service

Rainbow cosmic shear: Optimization of tomographic bins

Kitching, Thomas D. and Taylor, Peter L. and Capak, Peter and Masters, Daniel and Hoekstra, Henk (2019) Rainbow cosmic shear: Optimization of tomographic bins. Physical Review D, 99 (6). Art. No. 063536. ISSN 2470-0010. doi:10.1103/physrevd.99.063536.

[img] PDF - Published Version
See Usage Policy.

[img] PDF - Submitted Version
See Usage Policy.


Use this Persistent URL to link to this item:


In this paper, we address the problem of finding optimal cosmic shear tomographic bins. We generalize the definition of a cosmic shear tomographic bin to be a set of commonly labeled voxels in photometric color space; rather than bins defined directly in redshift. We explore this approach by using a self-organizing map to define the multidimensional color space, and a we define a “label space” of connected regions on the self-organizing map using overlapping elliptical disks. This allows us to then find optimal labeling schemes by searching the label space. We use a metric that is the signal-to-noise ratio of a dark energy equation of state measurement, and in this case we find that for up to five tomographic bins the optimal color-space labeling is an approximation of an equally spaced binning in redshift; that is in all cases the best configuration. We also show that such a redefinition is more robust to photometric redshift outliers than a standard tomographic bin selection.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Capak, Peter0000-0003-3578-6843
Masters, Daniel0000-0001-5382-6138
Additional Information:© 2019 American Physical Society. (Received 8 January 2019; published 29 March 2019) We thank the Cosmosis team for making their code publicly available. P. T. is supported by STFC. T. K. is supported by a Royal Society University Research Fellowship. We thank J. Zuntz for providing a development branch of Cosmosis that was used in this analysis. D. M. and P. C. acknowledge support by NASA ROSES Grant No. 12-EUCLID12-0004. D. M. acknowledges support for this work from a NASA Postdoctoral Program Fellowship. H. H. acknowledges support from Vici Grant No. 639.043.512, financed by the Netherlands Organisation for Scientific Research (NWO).
Group:Infrared Processing and Analysis Center (IPAC)
Funding AgencyGrant Number
Science and Technology Facilities Council (STFC)UNSPECIFIED
NASA Postdoctoral ProgramUNSPECIFIED
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)639.043.512
Issue or Number:6
Record Number:CaltechAUTHORS:20190329-083647301
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94282
Deposited By: George Porter
Deposited On:29 Mar 2019 16:37
Last Modified:16 Nov 2021 17:04

Repository Staff Only: item control page