An Empirical Pixel-Based Correction for Imperfect CTE. I. HST’s Advanced Camera for Surveys

By Jay Anderson, L. Bedin. 2010

218 citations recorded by the source corpus.

We use an empirical approach to characterize the effect of charge-transfer efficiency (CTE) losses in images taken with the Wide-Field Channel of the Advanced Camera for Surveys (ACS). The study is based on profiles of warm pixels in 168 dark exposures taken between 2009 September and October. The dark exposures allow us to explore charge traps that affect electrons when the background is extremely low. We develop a model for the readout process that reproduces the observed trails out to 70 pixels. We then invert the model to convert the observed pixel values in an image into an estimate of the original pixel values. We find that when we apply this image-restoration process to science images with a variety of stars on a variety of background levels, it restores flux, position, and shape. This means that the observed trails contain essentially all of the flux lost to inefficient CTE. The Space Telescope Science Institute is currently evaluating this algorithm with the aim of optimizing it and eventually providing enhanced data products. The empirical procedure presented here should also work for other epochs (e.g., pre-SM4), though the parameters may have to be recomputed for the time when ACS was operated at a higher temperature than the current -81°C. Finally, this empirical approach may also hold promise for other instruments, such as WFPC2, STIS, the ACS’s HRC, and even WFC3/UVIS.

Subfields: Astronomy and Astrophysics, Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8da55aaa0a932855ebf202c4d7293997ede37fd9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. P. V. van Dokkum
  2. P. Hopkins
  3. M. Franx
  4. C. Conroy
  5. L. Hernquist
  6. Richard S. Ellis
  7. Christopher J. Conselice
  8. R. Dav'e

In Biomedical Engineering

  1. A. Sarajedini
  2. Aaron Dotter
  3. H. Ferguson
  4. P. V. van Dokkum
  5. M. Franx
  6. I. Labbé
  7. G. Illingworth
  8. D. Magee

In Electrical and Electronic Engineering

  1. R. Bouwens
  2. Richard S. Ellis
  3. P. Oesch
  4. J. Dunlop
  5. G. Illingworth
  6. D. Stark
  7. I. Labbé
  8. M. Franx

Citations in the corpus