Publications

Software

Publication

• J. Schmitt, J.-L. Starck, J. Fadili, S. Digel, "Poisson Noise Removal in Spherical Multichannel Images: Application to FERMI Data", in Advances in Machine Learning and Data Mining for Astronomy, Chapman and Hall, Edtitors M. Way, J. Scargle, K. Ali, A. Srivastava, in press, 2011.
• J. Schmitt, J.L. Starck, J.M. Casandjian, J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope",Astronomy and Astrophysics, in press, 2012.
• J. Schmitt, J.L. Starck, J.M. Casandjian, M.J. Fadili, I. Grenier, "Poisson Denoising on the Sphere: Application to the Fermi Gamma Ray Space Telescope", Astronomy and Astrophysics, 517, A26, 2010.

Software: MS-VSTS Version 1.0

MS-VSTS is based on three packages, IDL , Healpix, and MR/S. MS-VSTS can be used only if these three packages have been installed. MS-VSTS contains IDL routines for spherical mono-channel and multi-channel data analysis, when the data are contaminated by a Poisson noise. It contains routine for wavelet/curvelet denoising, wavelet deconvolution, multichannel wavelet denoising and deconvolution. MS-VSTS has been designed for the FERMI project.

The documentation of the MS-VSTS software is available in PDF format.

MS-VSTS is included is the iSAP packages serie. The code and more information are available at the iSAP web page.