An example of wavelet transforms applied to data from EGRET and data of the GLAST pre-launch simulations is reported. ID wavelet transform can be an useful tool in the analysis of gamma-ray source variability, while 2D/3D wavelet transform is a potential partner tool of the standard Likelihood analysis, in the frame of gamma-ray source detection.
Wavelet transforms are commonly used to translate a 1D signal or a 2D/3D field into both space and scale/frequency, showing the information in a more useful shape. 1D wavelet transforms allow to characterize the variability behavior, which represents an useful piece of information in the astrophysical identification of gamma-ray sources. On the other hand the 2D/3D wavelet technique has turned out to be a valid alternative/partner of the classical (model-dependent) Likelihood analysis, permitting a rapid, efficient and blind detection of bright sources. Here are reported few examples of the application to EGRET observations and simulated data of GLAST.
1D, 2D, 3D wavelet methods for gamma‐ray source analysis / Ciprini, S; Tosti, G; Marcucci, F; Cecchi, C; Discepoli, G; Bonamente, E; Germani, S; Impiombato, D; Lubrano, P; Pepe, M. - 921:(2007), pp. 546-547. (Intervento presentato al convegno 1st Gamma-ray Large Area Space Telescope Symposium, GLAST tenutosi a Stanford, CA, usa nel 5-8 Feb 2007) [10.1063/1.2757444].
1D, 2D, 3D wavelet methods for gamma‐ray source analysis
Discepoli G;
2007
Abstract
Wavelet transforms are commonly used to translate a 1D signal or a 2D/3D field into both space and scale/frequency, showing the information in a more useful shape. 1D wavelet transforms allow to characterize the variability behavior, which represents an useful piece of information in the astrophysical identification of gamma-ray sources. On the other hand the 2D/3D wavelet technique has turned out to be a valid alternative/partner of the classical (model-dependent) Likelihood analysis, permitting a rapid, efficient and blind detection of bright sources. Here are reported few examples of the application to EGRET observations and simulated data of GLAST.
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