Goal: Produce a new CMB map through end-to-end analysis
BeyondPlanck will implement the first end-to-end CMB Gibbs sampler, converting raw measurements into sky maps and cosmological parameters.
Data Selection and Flagging identifies which data can be used in the science analysis.
Gain estimation converts raw measurements into physical units in a iterative fashion
We will visualise and compress the time-ordered data, and most importantly we aim to remove correlated noise from the data stream.
We correct for asymmetric beam smearing.
BeyondPlanck aims to integrate map making and component separation into one framework.
Physical Interpretation uses the statistical properties of sky maps to improve our understanding of the current Cosmological Model.
Systematic uncertainties through end-to-end simulations.
Dissemination of project’s results and making sure project effort is easily reproducible.
University of Oslo
University of Milano
Professor of Astrophysics
Senior Software Engineer
University of Helsinki
University of Milan
Professor Emeritus of Astronomy
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