The matter spectral density from lensed cosmic microwave background observations

Ethan Anderes, Alexander Van Engelen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We use local likelihood estimates of gravitational shear and convergence from lensed cosmic microwave background observations to estimate the projected mass spectral density. Typically there is an additive bias when using a plugin estimate of the spectral density from a noisy estimate of the random field. We explore the possibility of adjusting this bias by subtracting an approximate power spectrum of the noise in the reconstruction using unlensed simulations. We demonstrate some empirical results that suggest the remaining biases complement those seen in the quadratic estimate developed by Hu and Okamoto (ApJ 557:L79- L83, 2001; ApJ 574:566-574, 2002; Phys Rev D 67:083002, 2003). We finish the paper with a discussion regarding the potential scientific applications and the challenges associated with estimating the noise spectrum from simulations.

Original languageEnglish (US)
Title of host publicationInformation Systems Development
Subtitle of host publicationReflections, Challenges and New Directions
Pages65-77
Number of pages13
DOIs
StatePublished - 2013
Externally publishedYes
Event20th International Conference on Information Systems Development: Reflections, Challenges and New Directions, ISD 2011 - Edinburgh, United Kingdom
Duration: Aug 24 2011Aug 26 2011

Publication series

NameInformation Systems Development: Reflections, Challenges and New Directions

Other

Other20th International Conference on Information Systems Development: Reflections, Challenges and New Directions, ISD 2011
CountryUnited Kingdom
CityEdinburgh
Period8/24/118/26/11

ASJC Scopus subject areas

  • Information Systems

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