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. The encircled energy values for the WFC, HRC, and SBC obtained during this time are given in
Table 5.4.
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.
Table 5.5 contains Johnson
-Cousins V magnitudes for unreddened O5 V, A0 V, and G2 V stars, generated using the Exposure Time Calculator. 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.
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 Exposure Time Calculator (
http://etc.stsci.edu/webetc/index.jsp).
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).
Subsequent to the replacement of the ACS CCD Electronics Box during SM4, all WFC images show horizontal striping which is constant across the full row (for both amplifiers) of each chip. This striping is the result of a 1/f noise on the bias reference voltage, and has a peak-to-peak amplitude of approximately 2.0 DN. 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. The striping cannot be estimated well by the WFC overscans. During Cycle 17, STScI developed and tested an algorithm for removing the stripes from calibration and general science images. The algorithm is effective when the science image is not excessively crowded such that a row-by-row background level becomes difficult to estimate. For details on the testing, please refer to the Proceedings of the
2010 Calibration Workshop. An ACS Instrument Science Report on the striping and its mitigation will be released in early 2011.
Because the stripe removal code is not universally effective, it is not currently applied as part of the ACS calibration pipeline. Instead, STScI has released the stripe removal algorithm to the community as a stand-alone task that can be run on ACS data retrieved from the
HST archive. The task, acs_destripe, has been written in Python as part of the
acstools package in the public release of STScI_Python available in January 2011. As a Python task, it can be run from either
PyRAF, any Python interpreter or even the operating system comman-line to correct post-SM4 pipeline-calibrated (_flt.fits). Please see the
ACS Web site for details on running this code.