Paper:	Likelihood Simulation for Bounding Non-Gaussianity in the CMB
Volume:	371, Statistical Challenges in Modern Astronomy IV
Page:	421
Authors:	Jennings, K.; Treaster, A.; Cayon, L.
Abstract:	The distribution of the CMB temperature fluctuations predicted by several alternative models to the Standard Inflationary can be parametrized by the so-called fNL parameter. We present a simulation-based scheme which uses a classification algorithm to designate the most likely parameter value. Methods for parameter space search, calibration, and importance sampling can dramatically increase accuracy and efficiency. Confidence intervals are constructed using a version of simulation hypothesis testing. Output of the search algorithm can be interpolated to provide reasonably accurate estimates of bounds; a further search can be used to provide more accurate placement.

Astronomical Society of the Pacific
Conference Series

© Copyright 1988 - 2025 - Astronomical Society of the Pacific
No part of the material protected by this copyright may be reproduced or used in any form other than for personal use without written permission from the ASP.

Page generated in 0.038 seconds