The Microwave Anisotropy Dataset Computational sOftWare
MADCOW is a set of parallelised programs written in ANSI C and Fortran
77 that perform a maximum likelihood analysis of visibility data from
interferometers observing the cosmic microwave
background (CMB) radiation. This software is being used to
produce power spectra of the CMB with the Very Small Array
(VSA) telescope. A full description of the algorithms used in the
progams is given in the paper Hobson &
Maisinger (2002), astro-ph/0201438.
Download
-
You can download MADCOW here. Installation tips and some
explanations are included in the archive. Documentation can be found
in the doc/ directory.
- To compile MADCOW, you may also need to download the following software
packages:
Some of the provided plotting utilities also require
However, it should be sufficient simply to disable the NAG calls in
the calling programs if the library is not available and you do not
need the marginalisation options.
- The mock data files (1.8 MB) and scripts used in the
simulations presented in astro-ph/0201438.
History
version 2.0 (14 Nov 2002)
- Unevenly spaced bins
- Simultaneous analysis of independent fields
- Integrals can be saved in compressed storage using zlib
- Removed several redundant options from the user interface
- Various minor fixes
version 1.6 (22 May 2002)
- a few minor fixes to the I/O routines; in particular, input to
maxlike now works in MPI version too; more logging of output of
maxlike and errors
version 1.5 (28 Jan 2002)
- renamed programs to conform to astro-ph/0201438: vsaeigen --> eigenlike,
vsalfcn --> redlike, vsalike --> maxlike, errors
- added "fastlike" to the MADCOW collection
- only minor fixes in the rest, e.g. makefile fixes and new distribution
logic for MPI version contributed by Anze
version 1.4 (18 Jan 2002)
- BUGFIX: Some nasty memory corruption bug has been fixed that used to
strike randomly after several hours of computation time in the distributed
version (single processor version and shared memory multi-processor not
affected). Thanks to Anze and Charlie for tracking this one down.
- BUGFIX: Choosing the lowest l too close to the lowest baseline
could cause segmentation faults.
Credits to Richard Savage for spotting this one.
(This bug must have been in the code for ages...)
- vsalike and vsalfcn now have ScaLAPACK versions as well. Unfortunately
the scaling seems to be worse than for vsaeigen.
version 1.3 (5 Dec 2001)
- It can run on distributed memory architectures, such as Linux
Beowulf clusters or Cray T3Es (not that we have any of the latter). It
requires MPI and ScaLAPACK to be installed - read the INSTALL file in
the distribution or Mark Ashdown's notes on MADCAP
about how to install these. Tests indicate that the scaling is quite
excellent at least up to eight nodes (I haven't tried more). (Also
read the file GUIDE_optimise about spurious error messages...)
- the input parameters can be read from a parameter file instead of
interactive usage - for a sample file see the doc directory. The
parameter file is given as a command line argument at startup.
- Being interrupted or killed, the program resume computations in its
previous state. Restart using the option "2" where you are asked whether
you want to use the default parameters. There is one small caveat: If the
program was terminated at a later stage of an iteration, the algorithm
for the automatic check of convergence may be fooled into premature
termination.
- slightly reduced memory requirements...
[ Cavendish |
Astrophysics Home |
MADCOW ]
Last modified 22 May 2002; maising@mrao.cam.ac.uk