2002
DOI: 10.1086/324017
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A Wavelet‐Based Algorithm for the Spatial Analysis of Poisson Data

Abstract: Wavelets are scaleable, oscillatory functions that deviate from zero only within a limited spatial regime and have average value zero, and thus may be used to simultaneously characterize the shape, location, and strength of astronomical sources. But in addition to their use as source characterizers, wavelet functions are rapidly gaining currency within the source detection field. Wavelet-based source detection involves the correlation of scaled wavelet functions with binned, two-dimensional image data. If the … Show more

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Cited by 571 publications
(558 citation statements)
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“…Source detection was carried out with the wavdetect algorithm (Freeman et al 2002). We used wavelet scales between 1 and 8 in steps of √ 2.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…Source detection was carried out with the wavdetect algorithm (Freeman et al 2002). We used wavelet scales between 1 and 8 in steps of √ 2.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…The PSF map information was used as input at the next stage where we carried out point source detection by correlating the data with wavelet functions (WAVDETECT in CIAO, Freeman et al 2002) in the 0.5-8.0 keV energy band. Below 0.5 keV the response is not well calibrated, while above 8.0 keV both the mirror effective area drops and the particle background rises.…”
Section: Point Source Detection and Photometrymentioning
confidence: 99%
“…In order to get the X-ray position for the sources in the ACIS-S field of view, we used a wavelet transform detection algorithm, the wavdetect program within the CIAO data analysis system (Freeman et al 2002). The output file of the previous procedure is input to the AE software.…”
Section: X-ray Observations and Data Reductionmentioning
confidence: 99%