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Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/5869
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dc.contributor.authorDillon, Joshua S.-
dc.contributor.authorLiu, Adrian-
dc.contributor.authorPrabu, T.-
dc.contributor.author+16 Co-authors-
dc.date.accessioned2014-04-24T11:30:21Z-
dc.date.available2014-04-24T11:30:21Z-
dc.date.issued2014-01-
dc.identifier.citationPhysical Review D, 2014, Vol.89, p23002en
dc.identifier.issn1550-7998-
dc.identifier.issn1550-2368(Online)-
dc.identifier.urihttp://hdl.handle.net/2289/5869-
dc.descriptionOpen Accessen
dc.description.abstractWe present techniques for bridging the gap between idealized inverse covariance weighted quadratic estimation of 21 cm power spectra and the real-world challenges presented universally by interferometric observation. By carefully evaluating various estimators and adapting our techniques for large but incomplete data sets, we develop a robust power spectrum estimation framework that preserves the so-called "Epoch of Reionization (EoR) window" and keeps track of estimator errors and covariances. We apply our method to observations from the 32-tile prototype of the Murchinson Widefield Array to demonstrate the importance of a judicious analysis technique. Lastly, we apply our method to investigate the dependence of the clean EoR window on frequency—especially the frequency dependence of the so-called “wedge" feature—and establish upper limits on the power spectrum from z=6.2 to z=11.7. Our lowest limit is Δ(k)<0.3 Kelvin at 95% confidence at a comoving scale k=0.046  Mpc−1 and z=9.5.en
dc.language.isoenen
dc.publisherAmerican Physical Societyen
dc.relation.urihttp://adsabs.harvard.edu/abs/2014PhRvD..89b3002Den
dc.relation.urihttp://arxiv.org/abs/1304.4229en
dc.relation.urihttp://dx.doi.org/10.1103/PhysRevD.89.023002en
dc.rights2014 American Physical Societyen
dc.titleOvercoming real-world obstacles in 21 cm power spectrum estimation: A method demonstration and results from early Murchison Widefield Array dataen
dc.typeArticleen
Appears in Collections:Research Papers (A&A)

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