2004
DOI: 10.1086/421866
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ChandraACIS Subpixel Event Repositioning: Further Refinements and Comparison between Backside‐ and Frontside‐illuminated X‐Ray CCDs

Abstract: We further investigate subpixel event repositioning (SER) algorithms in application to Chandra X-Ray Observatory (Chandra) CCD imaging. SER algorithms have been applied to backside-illuminated (BI) Advanced CCD Imaging Spectrometer (ACIS) devices and demonstrate spatial resolution improvements in Chandra ACIS observations. Here a new SER algorithm that is charge split-dependent is added to the SER family. We describe the application of SER algorithms to frontside-illuminated (FI) ACIS devices. The results of S… Show more

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Cited by 117 publications
(111 citation statements)
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“…All the observations were reprocessed from the original level 2 event files following the default ACIS reprocessing steps. The reprocessing applies the sub-pixel event-repositioning algorithm EDSER 4 (Li et al 2004), which improves on-axis image resolution, thereby improving the resolution for the crowded centre of 47 Tuc. The intrinsic on-axis PSF of the Chandra mirrors for a typical spectrum is reasonably represented by a Gaussian with FWHM of 0.4 (Chandra POG 5 , chapter 7).…”
Section: Observations and Data Reductionmentioning
confidence: 99%
“…All the observations were reprocessed from the original level 2 event files following the default ACIS reprocessing steps. The reprocessing applies the sub-pixel event-repositioning algorithm EDSER 4 (Li et al 2004), which improves on-axis image resolution, thereby improving the resolution for the crowded centre of 47 Tuc. The intrinsic on-axis PSF of the Chandra mirrors for a typical spectrum is reasonably represented by a Gaussian with FWHM of 0.4 (Chandra POG 5 , chapter 7).…”
Section: Observations and Data Reductionmentioning
confidence: 99%
“…To better isolate the point-like sources we employed the sub-pixel repositioning (SER) algorithm (Li et al 2003). By employing this algorithm, we decrease the FWHM of the point spread function (PSF) by 40%-70% (Li et al 2003(Li et al , 2004Anderson et al 2011), thereby allowing us to use the smallest source extraction region possible. Nevertheless, diffuse X-ray emission may still contaminate the point source spectra, as we further discuss in Section 2.5.…”
Section: Data Preparationmentioning
confidence: 99%
“…Two techniques can be used to avoid aliasing on the pixel grid. Either the photon positions are randomized with offsets up to half a pixel or their positions are corrected with an energy-dependent subpixel event repositioning (EDSER, Li et al 2004). The first method leads to a well-characterized, but artificially broadened PSF; the second method is characterized less well and has been implemented in CIAO only recently, but it increases the resolution of the resulting images directly.…”
Section: Chandramentioning
confidence: 99%