S2LET: Fast wavelet analysis on the sphere

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owlice
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S2LET: Fast wavelet analysis on the sphere

Post by owlice » Mon Nov 12, 2012 2:45 pm

S2LET: Fast wavelet analysis on the sphere

Abstract: S2LET provides high performance routines for fast wavelet analysis of signals on the sphere. It uses the SSHT code built on the MW sampling theorem to perform exact spherical harmonic transforms on the sphere. The resulting wavelet transform implemented in S2LET is theoretically exact, <span style="font-style: italic">i.e.</span> a band-limited signal can be recovered from its wavelet coefficients exactly and the wavelet coefficients capture all the information. S2LET also supports the HEALPix sampling scheme, in which case the transforms are not theoretically exact but achieve good numerical accuracy. The core routines of S2LET are written in C and have interfaces in Matlab, IDL and Java. Real signals can be written to and read from FITS files and plotted as Mollweide projections.

Credit: Leistedt, Boris; McEwen, Jason

Site: https://github.com/astro-informatics/s2let
http://adsabs.harvard.edu/abs/2013A%26A...558A.128L

Bibcode: 2012ascl.soft11001L

Preferred citation method: Please see citation information here: http://astro-informatics.github.io/s2let/#referencing

ID: ascl:1211.001
Last edited by Ada Coda on Sun Oct 04, 2020 8:29 pm, edited 1 time in total.
Reason: Updated code entry.
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