We are currently performing a major restructuring of MADCAP.
Documentation for the old MADCAP package can be found here.
The new MADCAP3 package is described below; full documentation to follow.
Step 0 is sufficiently instrument/experiment
specific that general analysis tools are often of limited value. Steps
derive intrinsic statistical properties of the observation data itself.
Step 4 then relates these to the
parameters of a particular class of cosmological models, such as
MADCAP3 addresses steps 1 - 3 with 3 tools:
- MADnes is an iterative timestream noise estimation code developed and maintained by Radek Stompor .
The overall structure of the MADCAP codes (red boxes) and
data inputs and
outputs (blue boxes) is illustrated below:
MADnes estimates the inverse time-time noise correlations from the time-ordered data, pointing, and initial guess at a map; MADmap then generates an improved map from the time-ordered data, pointing, and these noise correlations, and feeds this back to the next iteration of MADnes. When this process has converged, the final map is inspected in various ways to determine its acceptability.
Once an acceptable map has been generated, the MADspec noise correlator uses the time-ordered data, pointing, and time-time noise correlations to generate the pixel-pixel noise correlation matrix and map. Several such map/matrix pairs - either complete or after cutting - are then fed to the MADspec power spectra estimator to determine a user-defined combination of the maximum-likelihood T=<TT>, E=<EE>, B=<BB> spectra and the X=<TE>, Y=<TB> and Z=<EB> cross-spectra.
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MADCAP3 is a product of the COMBAT collaboration, which is supported by NASA's Advanced Information Systems Research Projects under Grant NAG5-3941, and was developed at NERSC, which is supported by the D.o.E's Office of Science under Contract No. DE-AC03-76SF00098.