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Commit 968ef7dd authored by Maude Le Jeune's avatar Maude Le Jeune
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#+TITLE: Needlet ILC tool
#+STYLE: <link rel="stylesheet" type="text/css" href="org.css" />
#+AUTHOR: M. Le Jeune
#+DATE: 2011-01-05 13:58:59 CET
The Needlet ILC tool is simple binary aimed at performing Internal
Linear Combination (ILC) of Healpix maps.
'Needlet' stands for spherical wavelet, as it offers the possibility
to perform ILC in the needlet analysis domain.
It can also be used in the simplest case of pixel domain analysis as
described below.
* Installation
The NILC tool relies on the *Healpix* C++ library
( and the *spherelib* library which
extends the Healpix package with needlet analysis and filtering
Those two libraries are provided and automatically installed with the
NILC source code.
** Dependencies
To build the binary, you will need the Scons construction tool. Get
it from your package manager or see
It is also possible to use scons-local by downloading
scons-local-xxxx.tar.gz, unpacking the tar ball in the current
directory and then running:
=python -f SConstruct_local=
after the file =SConstruct_local_example= has been edited into
=SConstruct_local= to fit your system.
** Installing the NILC tool
Change directory to the NILC source code repository and run:
To clean up after a build:
=scons -c=
To install the binary:
=scons install --prefix=mydir=
Default prefix is '/usr/local'.
** Running the NILC tool
A simple test can be run using the simulated data provided with the
NILC package:
=nilc fullsky.param=
* Pixel based ILC
The NILC tool can be used for pixel-based analysis performed:
+ on the full sky;
+ on a patch or using a galactic mask;
+ on a set of pixel zones.
** Full sky analyis
In this case, input parameters are minimum as in this simple example:
** Patch analysis
In order to exclude a zone of the analysis, one can define a binary
mask which is an Healpix map with pixel equal to 0 in the excluded
zone and 1 elsewhere:
** Localized analysis
In order to performed a space localized ILC, this Healpix map can be
used to define more pixel zones.
In this case, each pixel is set to its zone number starting from 1:
* Needlet ILC
The Needlet ILC is based on the possibility to localized the
statistics over both space and spectral domains.
The spectral localisation is made available through the use of spline
window functions. Window function limits are set in a vector with the
following convention:
=bands=[lmin_0 lmin_1 lmin_2...lmin_J lmin_J-1 lmax_J]=
with =lmax_j-2=lmin_j=.
The space localisation uses the same convention as described in the
previous section, except that one has to define as many Healpix zone
maps as needlet scales (J in this example).
* More options
+ Input files are Healpix map by default. It is possible to use alm
files instead by setting the option almopt to =true=. In this case,
one has to specify which resolution will be used for the output map
with the =nside= parameter.
+ Spherical harmonic transforms can be tuned with the =n_iter=
+ One can use command line options instead of parameter file:
+ In the pixel based case:
=nilc -p outfile -z zonefile N infile1 coeff1 ... infileN coeffN=
+ In the needlet case:
=nilc outfile l0 J zonefile1 lmax1 ... zonefileJ lmaxJ N infile1 coeff1 ... infileN coeffN=
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