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Two images of the Seyfert galaxy NGC 6552 obtained with the F560W filter: the image on the left was observed with a single integration of 200 groups, while the image on the right was offset using APT and was observed with eight integrations of 25 groups. Both images have the same total integration time of 555 s.

Two images of the Seyfert galaxy NGC 6552 obtained with the F560W filter: the image on the left was observed with a single integration of 200 groups, while the image on the right was offset using APT and was observed with eight integrations of 25 groups. Both images have the same total integration time of 555 s.

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The detectors in the Mid-Infrared Instrument (MIRI) of the James Webb Space Telescope (JWST) are arsenic-doped silicon impurity band conduction (Si:As IBC) devices and are direct descendants of the Spitzer IRAC long wavelength arrays (channels 3 and 4). With appropriate data processing, they can provide excellent performance. In this paper we discu...

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... The first stage of the MRS pipeline 45,84 , which performs the detectorlevel corrections and transforms the ramps to slope detector images, was run with especial attention to identify and correct the cosmic-ray showers. We turned on the find_showers keyword of the jump pipeline step and used 60 s and 400 pixels for the time_masked_after_shower and max_extended_radius keywords. ...
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... Total exposure times and the breakdown into groups and integrations are shown in Table 1. 4. DATA PROCESSING This section describes the data processing for SMILES, which is broadly similar to the reductions described in previous works (e.g. Yang et al. 2023b;Morrison et al. 2023;Pérez-González et al. 2024b). Data reduction is done using v1.12.5 of the JWST Calibration Pipeline (Bushouse et al. 2023) with CRDS 4 version 11.17.7 and CRDS context 1188. ...
... Stage 1 (calwebb detector1) of the JWST pipeline performs detector-level processing on raw ramp data, including corrections for non-linearity, reset anomaly, first and last frame effects, dark subtraction, and jump detection specific to the MIRI imager. Based on pre-flight ground-based and commissioning data (see also Yang et al. 2021, for MIRI data reduction simulations), we adopt the default parameters in the pipeline for this step; a detailed discussion of the non-ideal behaviors and the corrections implemented in stage 1 of the pipeline is presented in Morrison et al. (2023). As noted in that work, several artifacts are not currently addressed in the pipeline, including persistence, the cruciform feature of the PSF at F560W and F770W, interpixel capacitance, column and row striping, the first exposure effect, and the brighter-fatter effect (Argyriou et al. 2023b). ...
... Backgrounds in MIRI are a combination of sky background (dominated by zodi at shorter wavelengths, then thermal emission and scattering from the telescope at ≳ 15 µm ( Figure 10; Glasse et al. 2015;Rigby et al. 2023b) and detector effects that can cause large-scale gradients, row/column striping and tree rings that are largely static in detector coordinates for a given dataset (Morrison et al. 2023). As discussed in (Dicken et al. 2024), these latter effects are likely residuals from the current flat fielding and/or the dark/reset anomaly correction in stage 1. ...
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... The MIRI imager (MIRIM) uses a Si:As blocked impurity band conduction detector with 1032 × 1024 pixel 2 . Not all pixels are exposed to the incoming light (Ressler et al. 2015;Morrison et al. 2023). What is commonly addressed as the imager is the largest part on the right side of the detector with a Field of View (FoV) of about 74 × 113 arcsec 2 (nominal pixel scale of 110 mas pixel −1 ; Bouchet et al. 2015), but also the topleft region, which is designed for Lyot coronography, is also used for imaging, adding extra coverage in each exposure. ...
... We downloaded the level-1b, uncalibrated (_uncal) products from the Mikulski Archive for Space Telescopes. 14 These exposures were processed using a development version of the JWST pipeline 15 (Bushouse et al. 2023) through the stages 1 and 2 to obtain the level-2b (_cal) fits files, fully calibrated and unresampled images (see Morrison et al. 2023, andD. Dickens et al. 2024, in preparation). ...
... At faint magnitudes, the QFIT increases and the RADXS distribution becomes broader because the signal-to-noise ratio of the sources decreases, and so objects becomes progressively poorly measured, but the points are mostly centered at RADXS ∼ 0. Very-bright stars in the short-wavelength filters show an increasing QFIT and a positive trend for the RADXS. This behavior is likely due to a combination of various factors, including saturation, nonlinearity (although it is expected to be small; Morrison et al. 2023) and, most importantly, brighter-fatter (there is more flux just outside the core of the star, meaning the object is "fatter" than what the ePSF predicts; Argyriou et al. 2023, see also Section 3.3). Similar trends have been found for the NIRISS detector (Libralato et al. 2023). ...
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... MIRI observers can take multiple integrations in a single exposure, and in that case, after a virtually instantaneous reset, the pixel starts integrating signal again. The default operation of the MIRI FPE in flight is to perform two reset frames in succession to mitigate reset switch charge decay effects, i.e., once to remove the integrated signal and again to set a solid zero point (Morrison, et al. 2023). ...
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... MIRI/MRS raw data come in the form of ramps, a sequence of detector frames where the per pixel signal (in units of Data Numbers or 'DN') rises with the increase in photo-charge collected as a function of time. These ramps are affected by a collection of electronic effects, covered in detail in Morrison, et al. (2023). The baseline data product assumed in this paper is a 2dimensional MRS detector plane 'slope' image, similar to the middle panel of Fig. 2, where the signal of each pixel has units of DN per second per pixel . ...
... One issue that arose very early in the MRS commissioning phase, while monitoring the signal in the wider gap between channels, is the fact that the MRS detector dark current seems to change drastically from one observation to the next (Morrison, et al. 2023). Currently, to address the issue of the varying dark current, the MRS calibration pipeline uses the gap region between the channels to estimate a single pedestal value (mean . ...
... The curvature of the MRS spectra on the detector result in a single cosmic ray shower appearing at multiple, separated locations in the data cube. Detector striping (discussed in Morrison, et al. (2023)) impacts the cube signal in a similar way, where brightness differences between detector columns intersect the curved MRS spectral traces. ...
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