« UDF » - MUSE Hubble Ultra Deep Field surveys


Scientific Leader


Roland BACON (CNRS)


Browse and select data


If you want to explore the catalog or select a subset of the sources for download, you should use the browse and select feature:
The inspection and selection process is explained in detailed here:


Description


The UDF project focus on the MUSE Hubble Ultra Deep surveys described in Bacon et al, 2022, A&A, (astroph-2211.08493). It is based on three MUSE datasets at various depths: MOSAIC (3x3 arcmin2, 10 hours), UDF-10 (1 arcmin2, 31 hours) and MXDF (1 arcmin diameter, 141 hours).

RGB image
Left panel: datasets location (Paper Fig. 1). Right panel: Reconstructed pseud-color images for the 3 datasets (Paper Fig. 4).

The catalog contain 2221 sources composed of 8 stars, 25 nearby galaxies (z < 0.25), 677 [OII] emitters (z=0.25-1.5), 201 galaxies in the MUSE redshift desert range (z=1.5-2.8) and 1308 Lyα emitters (z=2.8-6.7).

redshift distribution
Redshift distribution. Left panel: Magnitude redshift scatter plot (Paper Fig. 21). Right panel: Comparison with the published spectroscopic redshifts prior to MUSE observation (Paper Fig. 26).


Delivered data products


The complete descriptions of the delivered data products can be found in the Paper's appendix A. There are four types of data products: catalogs, source files, interactive html source files, and datacubes and images. The full dataset are available for download in the corresponding Download Archives page.

Catalogs

The main catalog gives a summary of source properties. It contains a subset of the main measured properties (i.e. the main emission and absorption line flux) and can be used standalone. For the full set of measurements three additional tables are given: the redshifts table, the line table and the narrowbands table.

Source files

Each source identified in the catalog is available as a specific Source file, a multi-extension FITS file which gathers all source information in a single file. The Source format is part of the MUSE Python Data Analysis Framework (MPDAF, Bacon et al. 2016; Piqueras et al. 2019). You will find here a tutorial on using source file. The corresponding Jupyter notebook and the exemple source file can be downloaded here (17.1 Mb tar gz file):

Interactive html source files

Html files are available for each source. These files have some limited built-in interactivity which allow to inspect the various source content (e.g. images, spectra, catalogs). Although they can be directly displayed by any browser, it is recommend to use the browse & select functionality to navigate over the catalog.

Images and datacubes

For each dataset (i.e. MXDF, UDF-10 and MOSAIC) we make the final datacubes and associated images public. Images and datacubes are in multi-fits format, with a data and optionally a variance extension. Masked data have NaN values. The primary header of each file contain a WCS extension and a number of keywords, including the spatial PSF model polynomial coefficients.


Quotation


If you use these data for any publication, please refer to Bacon et al, 2022, A&A, (astroph-2211.08493).