iSAP

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Authors: F. SureauF. Lanusse and J.-L. Starck
Language: C++
Download: ISAP_V3.1
Description: Interactive Sparse Astronomical Data Analysis Packages.
Notes: Documentation: doc_iSAP_V3.0


Interactive Sparse Astronomical Data Analysis Packages

iSAP is a collection of packages, in IDL and C++, related to sparsity and its application in astronomical data analysis (the IDL software (http://www.idl-envi.com) is analogous to Matlab and is very widely used in astrophysics and in medical imaging). The C++ routines can be used independently of IDL.

The iSAP V3.1 software, including all these packages, can be downloaded here: ISAP_V3.1.
The documentation of iSAP is available in PDF format: doc_iSAP_V3.0

It contains the following packages:

  • Sparse2D V1.0Sparsity for 1D and 2D data sets
    IDL and C++ code, allowing sparse decomposition, denoising and deconvolution.
     
  • MSVST V1.0: Multi-Scale Variance Stabilizing Transform for 1D and 2D data sets
    IDL and C++ code for Poisson noise removal. Matlab code can also be found here.
     
  • MRS V3.2: MultiResolution on the Sphere
    IDL and C++ code for sparse representation on the sphere. More details can be found here.
     
  • SparsePOL V1.1: Polarized Spherical Wavelets and Curvelets
    IDL code for sparse representation of polarized data on the sphere. More details can be found here.
     
  • MRS-MSVSTS V1.1: Multi-Scale Variance Stabilizing Transform on the Sphere
    IDL code for Poisson noise removal and deconvolution on mono-channel and multichannel spherical data. More details can be found here.
     
  • SparseGal V1.0: Sparsity for galaxies survey analysis
    IDL code, with two subpackages:
    • ISW V1.0: Integrated Sachs-Wolfe effect detection.
    • DarthFader V1.0: Spectroscopic Redshift Estimation using sparsity.
  • SparseCMB V1.0: Sparsity for CMB data analysis
    IDL code, with three subpackages:
    • TOUSI V1.0: True Cosmic Microwave Background Power Spectrum Estimator.
    • Anomalies V1.0: CMB large scale anomalies detection.
    • PRISM V1.0: Sparse Recovery of the Primordial Power Spectrum.
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Author: Samuel Farrens

I have been a postdoctoral researcher at CEA Saclay since October 2015. I am currently working on the DEDALE project and the Euclid mission with Jean-Luc Starck.

My background is in optical detection of clusters of galaxies and photometric redshift estimation. I am now branching out into the field of PSF estimation using sparse signal processing techniques.

View all posts by Samuel Farrens >