For a comprehensive guide on identifying ACS image anomalies, we refer users to the HLA report, ACS CCD Image Anomalies in the Hubble Legacy Archive. This HLA report provide detailed explanations, as well as visual representations of all the known anomalies present in HRC and WFC images. Below, we list a summary of the image anomalies and artifacts that have been found in all three ACS channels.
WFC/HRC Detector Features and Artifacts
Bleeding from Saturated Sources
Description: Sources that are overexposed will saturate pixels, leading to charge that "bleeds" into adjacent pixels in the same column. Saturation typically occurs around 77,400 e- on average. In many cases, reliable photometry can still be performed on saturated sources as shown in the Jupyter Notebook linked below.
Examples of saturated sources showing characteristic "bleeding" behavior.
Description: Damage to the CCD detectors leads to the formation of charge traps, which degrades the CCD Charge Transfer Efficiency (CTE). During readout, some charge is trapped and later released, leading to "trails" behind sources in the images. CTE trails are most pronounced in the parallel (y-axis) direction, but are also present at a weaker level in the serial (x-axis) direction. The standard ACS calibration pipeline includes a pixel-based CTE correction algorithm to remove both parallel and serial trails. Alternatively, a correction model has been developed for point sources that can be applied to uncorrected photometric data.
(Left) Example image showing "trails" behind sources due to degraded CTE. (Right) The same image after applying the pixel-based CTE correction algorithm.
Description: Warm and hot pixels are individual pixels with elevated dark current. The distinction between warm and hot is somewhat arbitrary, but as of now, hot pixels refer to those that exceed 0.14e-/pix/sec (WFC) or 0.08 e-/pix/sec (HRC), while warm pixels are those between 0.06-0.14 e-/pix/s (WFC) and 0.02-0.08 e-/pix/s (HRC). The number of warm and hot pixels increases with time in orbit.
The growth of hot/warm pixels in the WFC over the lifetime of ACS.
Description: There are several sources of scattered light:
F660N ghosts: The F660N narrow band filter produces pairs of relatively bright circular annuli stationed near to (but radially outward from) the target image.
WFC elliptical halos/Figure-8 ghosts: these show up as two elliptical annuli resembling a sideways number 8 and are aligned along the negative diagonal of the WFC FOV. These arise when a bright object is found in the lower right quadrant (D amplifier) of the WFC detector.
Annular Ghosts: Internal reflections lead to large and small annular ghosts near their parent images.
Dragon's Breath/Edge Glow: Bright stars just outside the field of view can lead to a narrow, flaring scattered light feature emanating from the edge of the detector called "Dragon's Breath." This feature is caused by reflections involving the knife-edged mask in front of the CCD. Edge-glow has a similar cause, but takes the form of more round and diffuse bright spots on the edge of the FOV. These artifacts can be avoided by ensuring bright stars do not fall inside a specific region around the WFC detector (see the Dragon's Breath webtool).
Glint: Glint typically takes the form of a narrow ray of light, though not as well-defined as a satellite trail, extending diagonally across the WFC FOV. This feature appears to occur when bright stars are found in a narrow region spanning from a spot on the WFC chip gap approximately 1250 pixels from the left side of the detectors to a position approximately in the center of WFC1. This artifact can be mitigated by avoiding placing bright stars in this region.
Examples of elliptical figure-8 halos, annular ghosts, and Dragon's breath.
F606N ghost to the upper right of the main target.
Example of glint caused by the bright star in the upper chip.
Description: When a moving object (typically an artificial satellite) passes across the FOV, it results in a narrow streak across the image. Masking these features before creating final images via Drizzlepac effectively removes them from the final image (Note: without masking the trails, Drizzlepac removes the brightest part of the trails, but typically leaves the faint outer edges). The ACS team has developed two software routines to flag and mask satellite trails, both of which are included in the ACSTOOLS package.
Example satellite trail (highlighted in red) identified in a single WFC exposure.
Description: Due to a strongly declining dispersion as a function of wavelength for the HRC PR200L prism, the spectrum could "pile up" at redder wavelengths (a range of 1500 Angstroms spanned only 8 pixels). This could result in saturation of the CCD, potentially impacting other spectra.
Description: The WFC bias levels show a range of properties users should be aware of:
Offsets between amplifiers: The bias levels of each CCD amplifier are slightly different. The levels vary enough (+/- 0.3 DN) that the superbias subtraction does not fully remove the offsets. For this reason, backgrounds should be measured separately for each detector quadrant.
Bias jumps: Data obtained prior to Servicing Mission 4 (SM4) in 2009 showed intermittent bias variations of a few tenths of a DN during readout. Typically these jumps are too small to impact science goals.
Bias gradient: After SM4 in 2009, the WFC Bias frames exhibited 2D gradients with amplitudes of 5-10 DN. These gradients have proven highly stable and are removed by the CALACS pipeline.
Bias Striping: After SM4 in 2009, WFC bias frames displayed low level 1/f noise. This noise has remained very stable, is less than 20% of the WFC read noise, and is removed within CALACS.
The bias structure in all four amplifiers demonstrating offsets between amplifiers and gradients.
(Left) an example bias image with the 1/f striping pattern. (Right) the same bias after applying the destriping algorithm in the ACS reduction pipeline.
Description: The four WFC CCD amplifiers are read out separately and simultaneously. During read-out, electronic cross-talk between the amplifiers can occur. As a result, a source in one detector quadrant may appear as a faint, mirror-symmetric (often negative) ghost image in the other quadrants. Cross-talk generally has negligible impact for most applications, but is corrected for in full-frame WFC images by the CALACS pipeline.
Example image with crosstalk artifacts visible in the top two amplifiers (image stretched to make crosstalk ghosts more visible).
Description: In 2017, three new artifacts called "flecks" appeared in WFC calibration data, and appear to be the results of particulates that have fallen onto the surface of the CCD. Another new fleck was found in 2024. Pixels with <50% transmissivity have been added to the bad-pixel tables and flagged in the DQ arrays. The ACS team regularly monitors for new flecks.
Description: Between 1.5% and 3% of pixels can be impacted by cosmic rays during a 1000s exposure. Dithering observations is an effective means of removing cosmic rays from final images, although the final result depends on exposure time, number of exposures, and parameters used in Drizzlepac.
Typical cosmic rays seen in WFC data. Both the compact and elongated objects are cosmic rays.
Description: Three dark spots smaller than 50 microns are at positions (334, 977), (578, 964), and (960, 851). Two bright spots exist at (55, 281) and (645, 102) with fluctuating rates that are always less than 3 counts per second.
Description: SBC observations of bright objects may show optical ghosts possibly due to reflection between the back and front sides of the filter. The brightness of the ghost is typically less than 1% of the star brightness. The displacement of the ghosts from the star image is filter dependent:
Filter
Displacement (pixels)
F122M
-50,+155
F125LP
-30,+95
F150LP
-28,+78
Note: Displacement is measured from the center of the real object in the undistorted image (i.e. DRZ or DRC).
An example of the optical ghost from observations of white dwarf J132811.4+463050 taken in December 2015.
Artifacts Generated by Image Processing and Combination
Correlated Noise
Description: The drizzle algorithm employed by Drizzlepac often divides the power from a given input pixel over multiple output pixel, resulting in correlated noise between adjacent pixels in the final image. Sometimes correlated noise patterns can be seen in the final data as a "crosshatch" or "screen door" pattern. These features may be mitigated to some extent by modifying the parameters used when Drizzling.
Description: If individual exposures are too long and/or if there are too few exposures, some residual cosmic rays may be present in final combined images. Modifying the image combination algorithm (e.g., minmed combination instead of median combination) or cosmic ray identification parameters may improve results. Alternatively, identifying cosmic rays based on shape is possible.
Loss of lock: If the Fine Guidance Sensors fail to maintain lock on one or both guide stars, the telescope pointing may drift leading to smearing of data (e.g., star trails). Typical losses of lock will be reported in the jitter files associated with an observation.
Undeclared Loss of Lock: In some cases, the fine guidance sensors may lose lock on one guide star but not report it in the jitter files. However, these events can be tracked and observers are notified if an undeclared loss of lock occurs. Typical side effects will be a roll drift that can leading to smearing in the data. In many cases, the level of smearing should be small, but users impacted by undeclared LoL events are encouraged to examine their data closely for issues.
Example exposure where guiding failed leading to clear star trails.