Application of a Multidimensional Wavelet Denoising Algorithm for the Detection and Characterization of Astrophysical Sources of Gamma Rays
Abstract
Zhang, Fadili, & Starck have recently developed a denoising procedure for Poisson data that offers advantages over other methods of intensity estimation in multiple dimensions. Their procedure, which is nonparametric, is based on thresholding wavelet coefficients. The restoration algorithm applied after thresholding provides good conservation of source flux. We present an investigation of the procedure of Zhang et al. for the detection and characterization of astrophysical sources of high-energy gamma rays, using realistic simulated observations with the Large Area Telescope (LAT). The LAT is to be launched in late 2007 on the Gamma-ray Large Area Space Telescope mission. Source detection in the LAT data is complicated by the low fluxes of point sources relative to the diffuse celestial background, the limited angular resolution, and the tremendous variation of that resolution with energy (from tens of degrees at {approx}30 MeV to 0.1{sup o} at 10 GeV). The algorithm is very fast relative to traditional likelihood model fitting, and permits immediate estimation of spectral properties. Astrophysical sources of gamma rays, especially active galaxies, are typically quite variable, and our current work may lead to a reliable method to quickly characterize the flaring properties of newly-detected sources.
- Authors:
- Publication Date:
- Research Org.:
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 877521
- Report Number(s):
- SLAC-PUB-11571
TRN: US200608%%284
- DOE Contract Number:
- AC02-76SF00515
- Resource Type:
- Conference
- Resource Relation:
- Conference: Presented at PHYSTATO5: Statistical Problems in Particle Physics, Astrophysics and Cosmology, Oxford, England, United Kingdom, 12-15 Sep 2005
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; ALGORITHMS; ASTROPHYSICS; COSMOLOGY; DETECTION; DIMENSIONS; FLARING; GALAXIES; PHYSICS; POINT SOURCES; RESOLUTION; TELESCOPES; Astrophysics,ASTRO
Citation Formats
Digel, S W, /SLAC, Zhang, B, Chiang, J, /Maryland U., Fadili, J M, /Caen U., Starck, J -L, and /Saclay /Stanford U., Statistics Dept. Application of a Multidimensional Wavelet Denoising Algorithm for the Detection and Characterization of Astrophysical Sources of Gamma Rays. United States: N. p., 2005.
Web.
Digel, S W, /SLAC, Zhang, B, Chiang, J, /Maryland U., Fadili, J M, /Caen U., Starck, J -L, & /Saclay /Stanford U., Statistics Dept. Application of a Multidimensional Wavelet Denoising Algorithm for the Detection and Characterization of Astrophysical Sources of Gamma Rays. United States.
Digel, S W, /SLAC, Zhang, B, Chiang, J, /Maryland U., Fadili, J M, /Caen U., Starck, J -L, and /Saclay /Stanford U., Statistics Dept. 2005.
"Application of a Multidimensional Wavelet Denoising Algorithm for the Detection and Characterization of Astrophysical Sources of Gamma Rays". United States. https://www.osti.gov/servlets/purl/877521.
@article{osti_877521,
title = {Application of a Multidimensional Wavelet Denoising Algorithm for the Detection and Characterization of Astrophysical Sources of Gamma Rays},
author = {Digel, S W and /SLAC and Zhang, B and Chiang, J and /Maryland U. and Fadili, J M and /Caen U. and Starck, J -L and /Saclay /Stanford U., Statistics Dept.},
abstractNote = {Zhang, Fadili, & Starck have recently developed a denoising procedure for Poisson data that offers advantages over other methods of intensity estimation in multiple dimensions. Their procedure, which is nonparametric, is based on thresholding wavelet coefficients. The restoration algorithm applied after thresholding provides good conservation of source flux. We present an investigation of the procedure of Zhang et al. for the detection and characterization of astrophysical sources of high-energy gamma rays, using realistic simulated observations with the Large Area Telescope (LAT). The LAT is to be launched in late 2007 on the Gamma-ray Large Area Space Telescope mission. Source detection in the LAT data is complicated by the low fluxes of point sources relative to the diffuse celestial background, the limited angular resolution, and the tremendous variation of that resolution with energy (from tens of degrees at {approx}30 MeV to 0.1{sup o} at 10 GeV). The algorithm is very fast relative to traditional likelihood model fitting, and permits immediate estimation of spectral properties. Astrophysical sources of gamma rays, especially active galaxies, are typically quite variable, and our current work may lead to a reliable method to quickly characterize the flaring properties of newly-detected sources.},
doi = {},
url = {https://www.osti.gov/biblio/877521},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 02 00:00:00 EST 2005},
month = {Fri Dec 02 00:00:00 EST 2005}
}