Photometric CTE Correction
Introduction
This page is in the process of being updated.
Please see ACS ISR 2022-06 for the latest information about the photometric CTE correction model.
End callout
Since 2003, the ACS Team has taken observations of 47 Tuc to quantify the dependece of stellar photometry on the number of parallel and serial transfers. The observations employ a specialized dither pattern that allows one to derive an analytical model that depends on the following parameters: stellar flux, background level, and the number of parallel transfers. Losses due to serial transfers are currently very small (< 2% at the edge of the chip and far from the amplifiers, where losses are the worst) and consistent with zero for the level of sky background usually achieved by GO observations (> a few electrons per pixel). In 2012, the original model was revisited and the assumption of a log-space linear relationship between the magnitude losses as a function of stellar flux (valid for the small CTE losses in pre-SM4 data) was shown to be an oversimplification of the CTE effects after ~10 years in space. This led to new and improved time-dependent models (see ACS ISR 2022-06).
Recent Updates
Analysis of data from the Cycle 32 External CTE monitor program (CAL/ACS 17656, P.I. Chiaberge) show that the CTE trends are continuing according to the model presented in ACS ISR 2022-06. We derive new coefficients and provide an updated correction to be used for aperture photometry of ACS/WFC drizzled images taken after Servicing Mission 4. The updated correction allows an average photometric accuracy of better than 3% for stellar sources located at any distance from the amplifiers. In order to achieve the highest accuracy, the ACS Team has developed two tools for computing and applying the photometric CTE corrections. In order to achieve the highest accuracy, the ACS Team has developed two tools for computing and applying photometric CTE corrections to data. The ACS Photometric CTE API in acstools is a programmatic interface for the standalone ACS Photometric CTE Webtool (currently unavailable). Both compute the photometric CTE corrections using the model described in ACS ISR 2022-06.
Updated coefficients and accuracy
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The target of the calibration program is a field ~7’ West off the core of the globular cluster 47 Tucanae. Images are taken using two different filters (F502N and F606W) and with a range of exposure times (between 30s and 400s), in order to sample at least five different background levels. For a more extensive description of both the characteristics of the datasets and the method for the data analysis we refer the user to ACS ISR 2012-05. In the following we summarize the main steps and the latest results.
Point source photometric CTE losses are described by the following model:
\(Dmag2000 (MJD, F, SKY) = a_1 Log(SKY) * MJD * 1/Log F + a_2 MJD * 1/(Log F)^2 \\ + a_3 1/(Log F) + a_4Log(SKY) * 1/(Log F)^2 + a_5 Log(SKY) * Log F + a_6 1/(Log F)^2 \\ + a_7 Log F + a_8Log(SKY) + a_9 \)
The model is normalized at Y=2000 pixel transfers; therefore, the value of Dmagy can be obtained using DmagY = Dmag2000 * (Y/2000). Y is the distance (in pixels) of the center of the measured point source to the amplifiers, MJD is the modified julian date, SKY is the local background level, and F is the star brightness in e- within a 3 or 5 pixel radius aperture. For a star located on the WFC2 chip, Y is simply the y coordinate of the point source in the FLT frame. For WFC1, Y = (2049-y), where y is the y-coordinate.
The values of the coefficients for a 3 pixel aperture radius derived using data from Cycle 17 through Cycle 32 are reported below:
Estimate Std. Error Coefficient \(-1.593782e^{+00}\) \(6.947025e^{-02} \) \(a_9\) \(1.368024e^{+00}\) \(5.680310e^{-02}\) \(a_8 \) \(1.021886e^{-01}\) \(8.415726e^{-03}\) \(a_7\) \(-5.147439e^{+01}\) \(5.262972e^{-00}\) \(a_6\) \(-1.067867e^{-01}\) \(6.515256e^{-03}\) \(a_5\) \( 3.793302e^{+00}\) \(1.055782e^{-01}\) \(a_4\) \( 6.349856e^{+00}\) \(1.720214e^{-01}\) \(a_3 \) \( 8.412415e^{-04}\) \(8.570207e^{-06}\) \(a_2 \) \(-8.623534e^{-05}\) \(2.587255e^{-06}\) \(a_1\) The values of the coefficients for a 5 pixel aperture radius derived using data from Cycle 17 through Cycle 32 are reported below:
Estimate Std. Error Coefficient \(-2.751016e^{+00}\) \(1.037224e^{-01} \) \(a_9\) \(1.729924e^{+00}\) \(7.716899e^{-02}\) \(a_8 \) \(2.168872e^{-01}\) \(1.147010e^{-02}\) \(a_7\) \(-6.192969e^{+01}\) \(8.125789e^{-01}\) \(a_6\) \(-1.505302e^{-01}\) \(8.165219e^{-03}\) \(a_5\) \(4.030754e^{+00}\) \(1.771554e^{-01}\) \(a_4\) \(9.993043e^{+00}\) \(2.847983e^{-01}\) \(a_3 \) \(9.527729e^{-04}\) \(1.254937e^{-05}\) \(a_2 \) \(-9.926297e^{-05}\) \(3.801887e^{-06}\) \(a_1\) For a CTE correction cookbook, please refer to Chiaberge, M. ACS ISR 2012-05.
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The updated formula was tested for different levels of background and stellar flux. Stars in the field range from ~100 to ~100,000e- (measured within 3 pixel aperture radius on drizzled images), depending on the exposure time. The global accuracy is better than 3% for all background levels. Note that the global accuracy is measured averaging out all stars in the calibration field.
In these figures, we show magnitude loss referenced to Y ≈ 2000 (i.e., at the far edge from the amplifiers; “worst case”) as a function of stellar brightness, for 3‑ and 5‑pixel aperture photometry (as labeled) and for two background levels (6 and 45 e− pix−1). Red points are the measured CTE losses from uncorrected photometry; because loss scales approximately linearly with Y, the loss at the chip center (Y ≈ 1024) is about half the plotted value. Green and purple points are the residuals after applying the pixel‑based and the photometric model corrections, respectively (positive = under‑correction, negative = over‑correction). These comparisons illustrate the accuracy of the model correction across brightness and background, relative to the measured losses and the pixel‑based approach. The photometric model has a residual standard error of 0.04 mag for both 3- and 5-pixel apertures. The resulting correction is accurate to better than 3% across most of the explored sky-background and brightness range at all post-SM4 epochs.
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