CEERS Data Release 0.6

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We are excited to announce CEERS Data Release 0.6! Here we provide our team's reductions of the second set of CEERS MIRI and NIRCam imaging, observed as part of CEERS Epoch 2 in December 2022. See below for more information.

The CEERS observations have been split into two epochs. The first set of CEERS MIRI+NIRCam images (MIRI as the primary instrument and NIRCam in parallel) were obtained on 21 June, 2022, and involved CEERS pointings 1, 2, 3 and 6. We share our first reduction of these Epoch 1 images in CEERS Data Release 0.5.

The CEERS Epoch 2 observations include six pointings with NIRSpec MSA+NIRCam imaging (pointings 4, 5, 7, 8, 9 and 10), four of which are also observed with NIRCam WFSS+MIRI imaging (pointings 5, 7, 8 and 9). These pointings were observed with a 180° position angle rotation relative to the June imaging (see Observing Modes for more info).

Images are available on the CEERS storage space at the Texas Advanced Computing Center or via the links below. Images will also be available on MAST soon.

NIRCam Imaging

MIRI Imaging

Epoch 2 NIRCam Imaging and Reduction

This data release includes CEERS NIRCam pointings 4, 5, 7, 8, 9 and 10, obtained in parallel to prime NIRSpec MSA observations. We also include the SW F115W and direct imaging in F356W obtained as part of the NIRCam WFSS observations in pointings 5, 7, 8 and 9. The four pointings from Epoch 1 (1, 2, 3 and 6) can be accessed through CEERS DR05. This DR06 NIRCam reduction is almost identical to that of DR05, where the difference is an updated version of the Calibration Pipeline and the CRDS reference file pmap.

We also provide all scripts necessary to reproduce our reduction on GitHub at ceers-nircam. The NIRCam data reduction is descriped in detail in Bagley et al. (2023). Please cite this paper if you use the reduced images or reduction scripts for your project.

To access the full NIRCam data release directly, visit this link. Alternatively, see below to access the fully reduced mosaics in each pointing and filter. Please see the associated README describing the release.

Summary

  • Instrument: NIRCam
  • Mode: Imaging
  • Calibration Pipeline Used: jwst v1.8.5
  • CRDS Context pmap: 1023
  • Target: NIRCam pointings 4, 5, 7, 8, 9, 10 (in parallel with prime NIRSpec MSA), with additional SW F115W imaging and F356W direct imaging in NIRCam WFSS pointings 5, 7, 8 and 9
  • Filters: SW F115W, F150W, F200W; LW F277W, F356W, F410M, F444W
  • Readout: MEDIUM8 (NIRSpec parallels), SHALLOW4 (WFSS imaging)
  • Observation specification: 5, 6 or 9 groups, 1 integration
  • Dithers: 3 point dither in each filter (defined by the NIRSpec primary observations), 4 point dither for F115W imaging in WFSS pointings (defined by MIRI parallels), direct and out-of-field imaging in F115W and F356W in WFSS pointings

Mosaics

  • Fully reduced mosaics for the 6 pointings and all 7 filters are available here or in the table below.
  • NIRCam5, 7, 8 and 9 include the additional imaging in F115W and F356W that was obtained as part of the WFSS observations.
  • The mosaics are on pixel scales of 0.03"/pix and are pixel-aligned across all filters. The science images are in units of MegaJansky per steradian (MJy/sr), and so the zeropoint is 28.08652 AB mag.
  • Each mosaic is a gzipped FITS file with 13 extensions, all described in the README. The gzipped files are each ~1.3-2 GB and unzip to ~2.2-3.2 GB (~4.5 for F115W in the fields with extra imaging from the WFSS observations).
  • We also provide pixel-aligned images in all available HST filters for each pointing. The HST images are gzipped FITS files with 6 extensions. They are ~1.1-1.6 GB and unzip to ~1.3-1.9 GB.
  • The first row of the table below provides a link to a gzipped tarball (tar.gz) containing mosaics for all filters of the pointing. These tarballs are ~15-20 GB.

Data reduction

We have reduced images through version 1.8.5 of the JWST Calibration Pipeline with custom Python scripts developed to handle additional corrections such as "snowballs", "wisps", 1/f noise, and background subtraction. Please see Bagley et al. (2023) for details on our reduction. Our full set of scripts and Pipeline parameter files are available on GitHub at ceers-nircam.

Epoch 1&2 MIRI Imaging and Reduction

This data release includes all eight CEERS MIRI pointings (1, 2, 3, 5, 6, 7, 8, 9). The four Epoch 1 pointings released in DR05 have been reprocessed along with the four Epoch 2 pointings such that all images shared here are reduced consistently. MIRI pointings 1, 2, 3 and 6 were obtained in June 2022 as the primary observations with NIRCam parallels. Pointings 5, 7, 8 and 9 were obtained in December 2022 in parallel with NIRCam WFSS primary observations. The MIRI data reduction is presented in detail in Yang et al. (2023). Please cite this paper if you use the reduced images or reduction scripts for your projet.

To access the full MIRI data release directly, visit this link. Alternatively, see below to access the fully reduced mosaics and photometric catalog. Please see the associated README describing the release.

Summary

  • Instrument: MIRI
  • Mode: Imaging
  • Calibration Pipeline Used: jwst v1.9.3
  • CRDS Context pmap: 1039
  • Target: MIRI Pointings 1, 2, 3, 6 (as primary with parallel NIRCam imaging); 5, 7, 8, 9 (as parallel with prime NIRCam WFSS)
  • Filters: F560W, F770W, F1000W, F1280W, F1500W, F1800W, F2100W
  • Readout: SLOWR1 (F560W and F770W), FASTR1 (all other filters)
  • Observation specification: Groups and integrations vary by filter and pointing
  • Dithers: 3 and 4-point dithers, optimized for MIRI+NIRCam coordinated parallels

Mosaics

  • Fully reduced mosaics for all 8 pointings and in all filters are available here or in the table below.
  • The mosaics are on pixel scales of 0.09"/pix and are pixel-aligned across all filters. The science images are in units of MegaJansky per steradian (MJy/sr), and so the zeropoint is 25.70091 AB mag.
  • Each mosaic is a FITS file with 11 extensions, all described in the README.
  • We have also produced custom RMS maps using astroRMS to account for pixel-correlated noise. These are included as an extension in each FITS file, and we and strongly recommend using them instead of the pipeline-produced ERR map.
  • The MIRI photometric catalog as described in Yang et al. (2023) is available for download here.

Data reduction

We have reducded images throught version 1.9.3 of the JWST Calibration Pipeline with custom Python scripts developed to handle additional corrections such as outlier detection and background subtraction. Please see Yang et al. (2023) for details on our reduction. Our pre-flight MIRI reduction of simulated images is presented in Yang et al. (2021).