The Robustness of Phase Mapping as a Non-Gaussianity Test | Zendy

L.-Y Chiang | Zendy; Pavel Naselsky | Zendy; Peter Coles | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Robustness of Phase Mapping as a Non-Gaussianity Test

Author(s) -

L.-Y Chiang,

Pavel Naselsky,

Peter Coles

Publication year - 2004

Publication title -

the astrophysical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.376

H-Index - 489

eISSN - 1538-4357

pISSN - 0004-637X

DOI - 10.1086/382211

Subject(s) - robustness (evolution) , cosmic microwave background , non gaussianity , gaussian , cosmic cancer database , pattern recognition (psychology) , statistical hypothesis testing , computer science , statistical physics , physics , algorithm , artificial intelligence , mathematics , astrophysics , statistics , optics , biology , biochemistry , anisotropy , quantum mechanics , gene

The identification and extraction of non-Gaussian signals is one of the maincosmological challenges facing future experimental measurements of the cosmicmicrowave background temperature pattern. We present a generalized statisticalmeasure based on a novel technique representation of Fourier phases using thereturn map. We show that this method is both robust and powerful in comparison,for example, with morphological measures

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research