The MegaScience & MegaScience Surveys:

Data Release 4


First reduced spectra + redshift catalog release

December 5, 2024

UPDATE: The release has been improved to include additional information that may be beneficial to users in this version (DR4.1). The redshift catalog now includes an advisory flag regarding potential issues with the local background subtraction scheme adopted in this release. (Note: this is only an advisory flag to alert users to inspect the 2D spectrum and evaluate if this background issue could impact their planned analysis. The robustness of measured redshifts is not impacted by this flag.) Additionally, a new catalog containing coordinates (in RA/Dec) for the slit shutters of each target, for all masks, has been added. Please refer to the README for further details. The links for the updated catalogs now point to the DR4.1 files.

August 7, 2024

The initial release of the UNCOVER reduced spectra and redshift catalogs are now available as part of DR4! The DR4 Spectra release includes all successfully reduced observations taken in July/Aug 2023, with PRISM spectra from 0.6-5µm of 553 objects. For this initial release, the redshift catalog includes only objects with secure or solid (flag_zspec_qual=3 or =2) redshift fits (409 objects).

All catalogs are based on F444W PSF-matched imaging, where the bright cluster galaxies and ICL have been modeled and subtracted. Detection was performed on a noise-equalized long-wavelength image (F277W+F356W+F444W).

In addition to the spectroscopic redshift catalog, we release a catalog of line fluxes that are estimated from each object's msaexp redshift best-fit, and magnifications calculated from the updated v2.0 lensing model using the new spec-zs.

For full details, please see the README and the UNCOVER first spectra release paper.

Please cite Price et al. 2024 when using any of the following data products, and Furtak et al. 2023 when using the MSA target magnification catalog.

CatalogDescriptionFiles
RedshiftsSpectroscopic redshift catalog of all targeted objects, with quality flagsFITS     ASCII     README
Line fluxesLine fluxes derived from msaexp redshift fits for all targeted objectsFITS     ASCII     README
MSA target magnificationsv2.0 lensing magnifications for all MSA targetsFITS     ASCII     README
Slit coordinate catalogCoordinates of all targets' shutter corners (in RA/Dec) for each maskFITS     ASCII     README
Reduced spectraDescriptionFiles
Default (recommended)Extracted 1D+2D spectra, & other extensionsFolder     README
Phot calSpectra calibrated to 0.32" diameter aperture photometry using polynomial fit; see README for recommended use casesFolder     README
Ancillary productsDescriptionFiles
Redshift fitsmsaexp redshift fitting files for best-fitFolder     README
Mask metadataDetails regarding observed masks and targetsFolder     README

Lens model updated release: v2.0

August 7, 2024

Authors: Lukas J. Furtak and Adi Zitrin

The UNCOVER strong lensing (SL) model is a parametric SL model constructed with the UNCOVER JWST data using a new (grid-free) analytic method by A. Zitrin.

In this model release (v2.0), we supply WCS-registered FITS maps of the deflection field (in pixels), convergence, shear, and the lensing potential normalized to Dds/Ds=1. We also supply magnification maps for various source redshifts: 1, 2, 4, 6, 8, 10, 15 and 20. The lensing maps have a FoV of 7.6' x 7.6', which covers the entire central UNCOVER field. We provide maps for the best-fit model in two resolutions, a high-resolution version in 0.04"/pix (JWST NIRCam resolution) and a low-resolution version with 0.1"/pix.

Compared to the v1.1 models, we added 13 spectroscopic redshifts from JWST/NIRSpec MSA and JWST/NIRCam grism observations, and 132 additional cluster members selected from JWST/NIRCam imaging. The additional spectroscopic redshifts in particular constrain the northern and north-western sub-structures that were previously mostly constrained with photometric redshifts.

Please cite Furtak et al. 2023 and Price et al. 2024 when using any of the lensing maps provided here.

For any questions, please contact us at: furtak [at] post.bgu.ac.il

UNCOVER lensing mapsFiles
v2.0Folder     README
All versionsTop folder

Updated Lensing Magnifications

August 7, 2024

We also release updated lensing magnifications the full UNCOVER photometric sample! The lensing values are computed for each source (from the SUPER photometric catalog) using the best-available redshift (highest to lowest priority: UNCOVER MSA spec-z, literature spec-z, and MegaScience+UNCOVER eazy phot-z).

Note that the IDs in this full-sample catalog are identical to the DR3 IDs.

For full details, please see the README.

Please cite Furtak et al. 2023 (lens modeling), Price et al. 2024 (updated lens model & UNCOVER spec-zs), and Suess et al. 2024 & Weaver et al. 2024 (MegaScience+UNCOVER eazy phot-zs) when using the full-sample magnification catalog.

CatalogDescriptionFiles
SUPER magnificationsv2.0 lensing magnifications for all objects in the
DR3 MegaScience+UNCOVER SUPER catalog
(row matched, using the same IDs)
FITS     ASCII     README
MSA target magnificationsv2.0 lensing magnifications for all MSA targets (by id_msa); see the spectroscopic release description.FITS     ASCII     README

Updated stellar population catalogs release

February 13, 2025

The updated DR4 stellar population synthesis (SPS) catalog is based on the "SUPER" DR3 photometric catalog, with optimally determined aperture sizes per object. The methodologies follow Wang et al. 2024: Modeling is performed with the Prospector inference framework (Johnson et al. 2021). The modeling assumes a non-parametric, logarithmically-spaced SFH, as well as a mass function prior, a Gaussian mass-metallicity prior, and a dynamic SFH(M, z) prior from Prospector-β to optimize the photometric inference over the wide parameter space covered by deep JWST surveys (Wang et al. 2023). A second catalog with fixed redshifts to spec-zs (including the UNCOVER MSA spec-zs) is also available.

In summary, this date release incorporates the following updates:

  • SED fitting is performed on the complete set of photometric data, which includes broad-band data obtained from UNCOVER and medium-band data obtained from MegaScience.
  • Lens model v2.0 is used.
  • An additional catalog, where the SEDs are fit with redshifts fixed to the spectroscopic redshifts released in DR4 (Price et al. 2024) is included.

Note that the IDs in the full-sample catalog are identical to the DR3 IDs.
The primary IDs in the spec-z catalog are the MSA IDs (please see the README).

For full details, please see the README and the catalog paper.

Please cite Wang et al. 2024, Weaver et al. 2024, Suess et al. 2024, and Furtak et al. 2023 when using any of the following data products, and also Price et al. 2024 when using the catalogs adopting spec-zs.

ProductDescriptionFiles
SPS catalogStellar population catalog based on the DR3 SUPER photometric catalog with optimally determined aperture sizes per object, with the redshift inferred simultaneously from the photometric fitFITS     README
Quicklook notebookJupyter notebook for plotting the maximum-likelihood SEDs, SFH percentiles, and posteriorsNotebook
ChainsPosteriors (subset of 500) for the default SPS catalognpz     README
SEDsBest-fit models for the default SPS catalog, for visualization purposesnpz     README
SFHsSFH percentiles for the default SPS catalog (in lookback time, Gyr)npz     README
Chains, log SFR ratiosSFH posteriors, quantified as temporal array of logSFR ratios (subset of 500)npz     README
ProductDescriptionFiles
SPS catalog, spec-zsStellar population catalog based on the DR3 SUPER photometric catalog with optimally determined aperture sizes per object, redshifts fixed to DR4 UNCOVER/MSA spec-zsFITS     README
Chains, zspecPosteriors (subset of 500) for the SPS catalog with fixed spec-znpz     README
SEDs, zspecBest-fit models for the SPS catalog with fixed zspec, for visualization purposesnpz     README
SFHs, zspecSFH percentiles for the SPS catalog with fixed zspec (in lookback time, Gyr)npz     README
Chains, log SFR ratios, zspecSFH posteriors, quantified as temporal array of logSFR ratios (subset of 500), with fixed spec-znpz     README