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Wavelet Based X-Ray Spatial Analysis: Statistical Issues

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Statistical Challenges in Modern Astronomy II
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Abstract

We use a wavelet-based algorithm to detect and characterize sources in astronomical X-ray images, which consists of correlating binned data with the Mexican-Hat function (MexHat):

$$MH(x,y) = (2 - \frac{{{x^2}}}{{\sigma _x^2}} - \frac{{{y^2}}}{{\sigma _y^2}}){e^{ - \frac{{{x^2}}}{{2\sigma _x^2}} - \frac{{{y^2}}}{{2\sigma _y^2}}}}$$

Use of the algorithm over a grid of scales (σ x ,σ y ) in principle allows us to de tect and characterize sources.

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© 1997 Springer Science+Business Media New York

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Kashyap, V., Freeman, P. (1997). Wavelet Based X-Ray Spatial Analysis: Statistical Issues. In: Babu, G.J., Feigelson, E.D. (eds) Statistical Challenges in Modern Astronomy II. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1968-2_34

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  • DOI: https://doi.org/10.1007/978-1-4612-1968-2_34

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7360-8

  • Online ISBN: 978-1-4612-1968-2

  • eBook Packages: Springer Book Archive

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