ACS Instrument Handbook for Cycle 26
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Advanced Camera for Surveys Instrument Handbook for Cycle 26 > Chapter 5: Imaging > 5.2 Important Considerations for ACS Imaging

5.2
The following characteristics of ACS should be considered when planning ACS observations or archival research:
ACS ISR 2012-04 contains plots of likely minimum sky backgrounds as a function of exposure time. Observers should determine if their sky backgrounds are likely to be less than 20 electrons. If this is the case, they should consult the ACS webpages and ACS ISR 2014-01 for details of the post-flash capability.
The geometric distortion of the WFC is significant and causes the projected pixel area to vary by 9% over the field of view. This distortion affects both the photometric and astrometric accuracy, and must be accounted for when the required accuracy is better than 10%. See Section 10.4.
5.2.1 Optical Performance
Following the fine-alignment and focus activities of the SM3B Orbital Verification period, the optical qualities of all three ACS channels were judged to have met their design specifications. Measured encircled energy values for the WFC and HRC can be found in Bohlin 2016, AJ, 152, 60, and those for the SBC can be found in ACS ISR 2016-05.
5.2.2 CCD Throughput Comparison
Figure 5.7 compares the wavelength-dependent throughputs of the ACS WFC and HRC with those of WFC3/UVIS, WFC3/IR, NICMOS/NIC3, and WFPC2.
5.2.3 Limiting Magnitudes
Table 5.4 contains the detection limits in Johnson-Cousins V magnitudes for unreddened O5 V, A0 V, and G2 V stars, generated using the ETC. WFC and HRC values used the parameters CR-SPLIT=2, GAIN=2, and a 0.2 arcsecond circular aperture. For the SBC, a 0.5 arcsecond circular aperture was used. An average sky background was used in these examples. However, limiting magnitudes are sensitive to the background levels; for instance, the magnitude of an A0 V in the WFC using the F606W filter changes by 0.4 magnitudes at the background extremes. Figure 5.8 shows a comparison of the limiting magnitude for point-sources achieved by the different cameras with a signal to noise of 5 in a 10 hour exposure. Figure 5.9 shows a comparison of the time needed for extended sources to attain ABMAG=26.
Figure 5.7: HST total system throughputs as a function of wavelength. The plotted quantities are end-to-end throughputs, including filter transmissions calculated at the pivot wavelength of each broad-band filter.
Figure 5.8: HST Limiting Magnitude for point sources in 10 hours, as a function of wavelength. Point source limiting magnitude achieved with a signal to noise of 5 in a 10 hour-long exposure with optimal extraction.
Figure 5.9: HST total integration time needed to attain ABMAG=26 for extended sources.
Table 5.4: V detection limits for ACS, HRC, and SBC direct imaging.
5.2.4 Signal-To-Noise Ratios
Chapter 10 contains plots of exposure time versus magnitude for a desired signal-to-noise ratio. These plots are useful for determining the exposure times needed for your scientific objectives. More accurate estimates require the use of the ACS ETC.
5.2.5 Saturation
Both CCD and SBC imaging observations are subject to saturation at high total accumulated counts per pixel. For the CCDs, this is due either to the depth of the full well or to the 16 bit data format. For the SBC, this is due to the 16 bit format of the buffer memory (see Section 4.3.1 and Section 4.5.2). There are also health and safety considerations for the MAMA detector. See Section 4.6 for a discussion of bright object limits.
5.2.6 Faint Horizontal Striping in WFC CCDs
Subsequent to the replacement of the ACS CCD Electronics Box during SM4, all WFC images show horizontal striping noise that is roughly constant across each row of readout in all four WFC amplifiers. This striping is the result of a 1/f noise on the bias reference voltage, and has an approximately Gaussian amplitude distribution with standard deviation of 0.9 electrons. The contribution of the stripes to the global read noise statistics is small, but the correlated nature of the noise may affect photometric precision for very faint sources and very low surface brightnesses.
During Cycle 17, STScI developed and tested an algorithm for removing the stripes from WFC science images. Because the WFC bias striping noise is so consistent among the four readout amplifiers, and because it also manifests within the WFC prescan regions, STScI has incorporated a prescan-based de-striping algorithm into the ACS calibration pipeline CALACS. This de-striping algorithm, as well as its implementation in CALACS, are described in Section 3.4 of the ACS Data Handbook. This permits consistent striping-noise mitigation for all post-SM4 WFC full-frame images, including calibration images. However, the de-striping algorithm is NOT automatically applied to subarray images within CALACS.
Post-SM4 WFC images can also be fully calibrated with a tool called acs_destripe_plus, which is available as part of the acstools package in Astroconda. This tool includes a stand-alone version of the de-striping algorithm that fits the stripes across the full science array, rather than fitting the stripes solely in the prescan columns. Within acs_destripe_plus, the destriping algorithm is run between the basic calibration tasks of ACSCCD and, if desired, the pixel-based CTE correction of ACSCTE. Post-SM4 WFC subarray images can only be de-striped and CTE-corrected using acs_destripe_plus. More details on processing WFC subarrays can be found in Section 7.3.1, in ACS ISR 2017-06, and on the ACS website.
Please see the acstools website for details on running acs_destripe_plus, as well as the example given in Section 3.5 of the ACS Data Handbook. Further details regarding the WFC striping and its mitigation are provided in the ACS ISR 2011-05.

Advanced Camera for Surveys Instrument Handbook for Cycle 26 > Chapter 5: Imaging > 5.2 Important Considerations for ACS Imaging

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