CEERS Data Release 0.5
Please consider subscribing to our email list to receive updates related to released data products and alerts when future data releases are available.
We are excited to announce CEERS Data Release 0.5! Here we provide our team's reductions of the first set of CEERS observations. We also provide documentation and the scripts and Python code we used to reduce the images. 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. The remaining CEERS observations (six NIRSpec MSA+NIRCam imaging and NIRCam WFSS+MIRI imaging) are scheduled for December 2022 when the field is observable with a 180° position angle rotation (see Observing Modes for more info). We have also written about our Epoch 1 observations on our CEERS Blog.
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 1 NIRCam Imaging and Reduction
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.
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.
Summary
- Instrument: NIRCam
- Mode: Imaging
- Calibration Pipeline Used: jwst v1.7.2
- CRDS Context pmap: 0989
- Target: NIRCam pointings 1, 2, 3, 6 (in parallel with prime MIRI Imaging)
- Filters: SW F115W, F150W, F200W; LW F277W, F356W, F410M, F444W
- Readout: MEDIUM8
- Observation specification: 5 or 9 groups, 1 integration
- Dithers: 3 point dither in each filter, defined by the MIRI primary observations
Mosaics
- Fully reduced mosaics for the 4 pointings and all 7 filters are available here or in the table below.
- 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 ~1.4-1.6 GB and unzip to ~2.3-3.2 GB.
- 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 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 ~15-17 GB.
- NIRCam2*: There are two sets of observations for F200W and F444W in this pointing, obtained 1 week apart. The second set ("b") was affected by significant persistence. We provide mosaics of each observation separately (i.e., "F200W" and F200Wb") as well as combined together ("All").
Data reduction
We have reduced images throught version 1.7.2 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 MIRI Imaging and Reduction
To access the full MIRI 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.
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.
Summary
- Instrument: MIRI
- Mode: Imaging
- Calibration Pipeline Used: jwst v1.7.2
- CRDS Context pmap: 0970
- Target: MIRI Pointings 1, 2, 3, 6 (as primary with parallel NIRCam imaging)
- 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 point dither in each filter, optimized for MIRI+NIRCam coordinated parallels
Mosaics
- Fully reduced mosaics for all 4 pointings and in all filters are available here or in the table below.
- The mosaics 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.
- 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.
Data reduction
We have reducded images throught version 1.7.2 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).