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The current plan is the following: the CCD and the
mirror are rotated togethe
r with respect to the fixed
X-ray source, but, in order to cover the outer PSFs,
the CCD is shifted along its plane four times. This
will result
in a grid of 11 x 11 PSFs, spaced by 6'.
In addition, in order to get a denser sampling of
smaller off-axis angles, there will be another central
grid of 6 x 6 PSFs, also spaced by 6', but displaced
with respect to the other grid by 3'. Vadim has produced
the attached pdf to illustrate to geometrical situation
.
== FM2: ==
Based on Panter FM2 measurements done between 5-14 Feb 2016 using the 256x256 pixel
TRoPIC. The CCD and the mirror were rotated together with respect to the fixed  X-ray source, but, in order to cover the outer PSFs, the CCD was shifted along its plane four times. This resulted in a grid of 11 x 11 PSFs, spaced by 6'. In addition, in order to get a denser sampling of smaller off-axis angles, there was another central grid of 6 x 6 PSFs, also spaced by 6', but displaced with respect to the other grid by 3'. For more details see
attachement ([[attachment:TRoPIC_eROSITA_PSF_scan_layout_
VB_final.pdf]]) produced by Vadim.
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Shapelets (Refregier A. 2003, MNRAS 338 35, Massey R. & Refregier A. 2005, MNRAS 363, 197) are used to represent the FM2 PSF. The limitation of shapelets is that they are assigned a scale parameter (beta). Features larger than the scale parameter cannot be reproduced. The eROSITA PSF shows complexities over a range of scales, both small (i.e. PSF core) and large (i.e. PSF wings). To represent this complexity two sets of shapelet coefficients were used. The first is to represent the core of the PSF and has a shapelet beta scale of 2.5 pixels and a total number of 91 coefficients (shapelet order N = 12). The second is for the extended wings of the PSF and has a scale beta=7.0 pixels and a total of 66 coefficients (shapelet order N = 10).
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The Panter images are first smoothed by boxcar filter with size 2 pixels and then processed with sextractor to determine the centroid position (x0, y0), the overall ellipticity and positional angle of the measured PSF. The PSF position (x0, y0) is kept fixed during the fit. In the future one may want to also optimise for that but in the current implementation this is not possible. Fitting shapelet coefficients to images is a simple linear least squares problem, under the assumption that errors are Gaussian, i.e. standard chi2 statistic applies. This assumptions may not be correct in the case of nearly zero background images.
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[[attachment:TRoPIC_eROSITA_PSF_scan_layout_VB_final.pdf]] The attached files show the input and reconstructed PSFs as well as

Shapelet fits to PANTER PSF Measurements

FM2:

Based on Panter FM2 measurements done between 5-14 Feb 2016 using the 256x256 pixel TRoPIC. The CCD and the mirror were rotated together with respect to the fixed X-ray source, but, in order to cover the outer PSFs, the CCD was shifted along its plane four times. This resulted in a grid of 11 x 11 PSFs, spaced by 6'. In addition, in order to get a denser sampling of smaller off-axis angles, there was another central grid of 6 x 6 PSFs, also spaced by 6', but displaced with respect to the other grid by 3'. For more details see attachement (TRoPIC_eROSITA_PSF_scan_layout_VB_final.pdf) produced by Vadim.

Shapelets (Refregier A. 2003, MNRAS 338 35, Massey R. & Refregier A. 2005, MNRAS 363, 197) are used to represent the FM2 PSF. The limitation of shapelets is that they are assigned a scale parameter (beta). Features larger than the scale parameter cannot be reproduced. The eROSITA PSF shows complexities over a range of scales, both small (i.e. PSF core) and large (i.e. PSF wings). To represent this complexity two sets of shapelet coefficients were used. The first is to represent the core of the PSF and has a shapelet beta scale of 2.5 pixels and a total number of 91 coefficients (shapelet order N = 12). The second is for the extended wings of the PSF and has a scale beta=7.0 pixels and a total of 66 coefficients (shapelet order N = 10).

The Panter images are first smoothed by boxcar filter with size 2 pixels and then processed with sextractor to determine the centroid position (x0, y0), the overall ellipticity and positional angle of the measured PSF. The PSF position (x0, y0) is kept fixed during the fit. In the future one may want to also optimise for that but in the current implementation this is not possible. Fitting shapelet coefficients to images is a simple linear least squares problem, under the assumption that errors are Gaussian, i.e. standard chi2 statistic applies. This assumptions may not be correct in the case of nearly zero background images.

The attached files show the input and reconstructed PSFs as well as

EROSITAwiki: ShapeLetPSF (last edited 2016-04-01 10:28:41 by AntonisGeorgakakis)