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 publicationStatistical Challenges in Modern Astronomy V
PublisherSpringer Science and Business Media, LLC
Pages65-77
Number of pages13
ISBN (Print)9781461435198
DOIs
StatePublished - 2012
Externally publishedYes
Event5th Statistical Challenges in Modern Astronomy Symposium, SCMA 2011 - University Park, PA, United States
Duration: Jun 13 2011Jun 15 2011

Publication series

NameLecture Notes in Statistics
Volume209
ISSN (Print)0930-0325
ISSN (Electronic)2197-7186

Other

Other5th Statistical Challenges in Modern Astronomy Symposium, SCMA 2011
CountryUnited States
CityUniversity Park, PA
Period6/13/116/15/11

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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