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Chapter 9 Poisson Noise Removal in Spherical Multichannel Images: Application to Fermi Data

dc.contributor.authorSchmitt, Jérémy
dc.contributor.authorFadili, Jalal
dc.contributor.authorStarck, Jean-Luc
dc.contributor.authorDigel, Seth
dc.contributor.authorSchmitt, Jérémy
dc.contributor.authorStarck, Jean-Luc
dc.contributor.authorFadili, Jalal
dc.contributor.authorDigel, Seth
dc.date.accessioned2025-03-07T18:03:38Z
dc.date.available2025-03-07T18:03:38Z
dc.date.issued2012
dc.date.submitted2019-10-04 14:36:53
dc.date.submitted2020-04-01T14:06:42Z
dc.date.submitted2016-08-01 23:55
dc.date.submitted2019-10-04 14:36:53
dc.date.submitted2020-04-01T14:06:42Z
dc.date.submitted2016-12-31 23:55:55
dc.date.submitted2019-10-04 14:36:53
dc.date.submitted2020-04-01T14:06:42Z
dc.identifier612622
dc.identifierOCN: 1030819426
dc.identifierhttp://library.oapen.org/handle/20.500.12657/32329
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/161174
dc.description.abstractThe Fermi Gamma-ray Space Telescope, which was launched by NASA in June 2008, is a powerful space observatory which studies the high-energy gamma-ray sky Atwood (2009). Fermi’s main instrument, the Large Area Telescope (LAT), detects photons in an energy range between 20 MeV to greater than 300 GeV. The LAT is much more sensitive than its predecessor, the EGRET telescope on the Compton Gamma Ray Observatory, and is expected to find several thousand gamma-ray point sources, which is an order of magnitude more than its predecessor EGRET Hartman et al. (1999).
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PD Science: general issues
dc.subject.otherspherical
dc.subject.otherpoisson noise removal
dc.subject.otherspherical
dc.subject.otherpoisson noise removal
dc.subject.otherAlgorithm
dc.subject.otherCurvelet
dc.subject.otherFermi Gamma-ray Space Telescope
dc.subject.otherGamma ray
dc.subject.otherHEALPix
dc.subject.otherShot noise
dc.subject.otherStandard deviation
dc.subject.otherWavelet
dc.titleChapter 9 Poisson Noise Removal in Spherical Multichannel Images: Application to Fermi Data
dc.typechapter
oapen.identifier.doi10.5772/36580
oapen.relation.isPublishedBy035ecc65-6737-43cf-a13a-6bdf67ce01f4
oapen.relation.isPartOfBookWavelet Transforms and Their Recent Applications in Biology and Geoscience
oapen.relation.isFundedByFP7 Ideas: European Research Council
oapen.relation.isFundedBy7292b17b-f01a-4016-94d3-d7fb5ef9fb79
oapen.collectionEuropean Research Council (ERC)
oapen.collectionEU collection
oapen.grant.number228261
oapen.grant.programFP7
dc.relationisFundedBy7292b17b-f01a-4016-94d3-d7fb5ef9fb79
dc.chapternumber1


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