## Mission Overview

### The MUSE Ultra Deep Field (MUDF)

Primary Investigators: Marc Rafelski, Michele Fumagalli

HLSP AuthorsMitchell Revalski, Marc Rafelski, Norbert Pirzkal

Released: 2023-02-08

Updated: 2023-02-08

Primary Reference(s): Revalski et al. 2023

Source Data:

## Overview

The MUSE Ultra Deep Field (MUDF) program is a multi-wavelength imaging and spectroscopic survey targeting a unique extragalactic field with two quasars at z = 3.2 that are separated by only 500 kpc. By combining emission line studies with high resolution spectroscopy of the two quasars, the project is designed to connect the physical properties of galaxies observed in emission with their surrounding gas viewed in absorption along the sightlines to the background quasars. These multiple sightlines provide a stereoscopic view that yields constraints on the size and geometry of the absorbing gas in the interstellar and circumgalactic medium over 10 billion years of cosmic time.

The team provides Hubble Space Telescope (HST) data products for this field, anchored by 90 orbits of Wide Field Camera 3 (WFC3) near-infrared imaging and grism spectroscopy (HST Program 15637) that represents the deepest HST grism survey ever conducted for a single field. The release contains custom-calibrated science data that includes WFC3 F140W, F125W, and F336W imaging, WFC3 G141 grism spectroscopy, and reprocessed Wide Field and Planetary Camera 2 (WFPC2) F702W and F450W imaging. The team supplies source catalogs with photometric and morphological measurements for 3,375 unique sources, including 1,536 objects with both imaging and spectroscopic coverage. The team provides robust spectroscopic redshifts for 419 sources between z = 0 – 6, which will enable a variety of studies focusing on galaxy formation and evolution in different environments.

These High Level Science Products contain science images with plate scales of 0.06 arcsec pixel-1 that are aligned with north up to the GAIA Early Data Release 3 (EDR3) astrometric coordinate system. The provided Point Spread Function (PSF) models have identical plate scales and have their integrated flux normalized to unity, which corresponds to the zero-point magnitude in each filter. The catalogs are provided in ASCII format, along with a quick view PDF that contains a summary figure of the imaging, photometry, and spectroscopy for each object with HST spectral coverage.

## Data Products

#### Images and Models

Image and model files have the following naming convention:

hlsp_mudf_hst_<ins>_mudf_<filter>_v1_<datatype>.fits

where:

• <ins> = Instrument used, either "wfc3" or "wfpc2".
• <filter> = Filter used, either "f125w", "f140w", "f336w", "f450w" or "f702w".
• <datatype> = Product extension, see table below for possible values.

Image file types:

 _drz-sci.fits Science drizzle images with pixel scales of 0.06 arcseconds per pixel and in units of counts per second. _drz-wht.fits Drizzle weight maps that were produced using the inverse variance map (IVM) option in AstroDrizzle. _drz-rms.fits Drizzle error maps (1/$$\sqrt{\mathrm{IVM}}$$) that have been corrected for correlated pixel noise. _drz-neg.fits Science drizzle images multiplied by -1.0 so they may be used to determine source detection thresholds. _psf-mod.fits Area-normalized PSF models that are 69 x 69 pixels in size with scales of 0.06 arcseconds per pixel. _con-ker.fits Area-normalized convolution kernels used to PSF-match each filter to the F140W mosaic resolution. _drz-con.fits Science drizzle images convolved to the spatial resolution of the F140W mosaic and used for photometry. _seg-map.fits Merged deep+shallow segmentation map with IDs matching those in the merged photometric catalog.

#### Catalogs

Catalog files are named according to the following convention:

hlsp_mudf_hst_<ins>_mudf_<filter>_v1_<catalogtype>.fits

where:

• <ins> = Instrument used, either "wfc3" or "wfpc2".
• <filter> = Filter used, either "f125w", "f140w", "f336w", "f450" or "f702w".
• <catalogtype> = Product extension, see table below for possible values.

Catalog file types:

 _morphology-catalog.txt Statmorph catalog table for each filter. _source-catalog.txt Multi-filter Source Extractor catalog.

#### Spectra

1D spectra files are named according to the following convention:

hlsp_mudf_hst_wfc3_obj-<object>_g141_v1_1d-spec.fits

where:

• <object> = Zero-padded five-digit object number.

2D spectra files are named according to the following convention:

hlsp_mudf_hst_wfc3_obj-<object>-pa-neg<ang>_g141_v1_2d-spec.fits

where:

• <object> = Zero-padded five-digit object number.
• <ang> = Position angle in degrees. The "neg" prefix indicates that the angle is negative.

#### Graphics

Summary graphics that display the direct imaging, photometry, and HST grism spectra for each object are named according to the following convention:

hlsp_mudf_hst_wfc3-wfpc2_mudf-<object>_multi_v1_summary.pdf


where:

• <object> = Zero-padded five-digit object number. In the case of "_summary.pdf", this is a combined summary PDF for all objects.

Statmorph graphics summarizing the morphologies, including the orientation, elongation, and CAS statistics for each object, are named according to the following convention:

hlsp_mudf_hst_wfc3_mudf-<object>_<filter>_v1_statmorph.pdf


where:

• <filter> = Filter used, either "f125w", "f140w", "f336w", "f450" or "f702w".

## Data Access

Imaging, model, and catalog files can be downloaded directly from the table below. The multi-filter Source Extractor catalog ("Source Catalog") is linked at the bottom of the table.

Filter Inst. Image Files Model Files Catalog Files
F125W WFC3 drz-sci | drz-wht | drz-rms | drz-neg | drz-con  psf-mod | con-ker morphology-catalog
F140W WFC3 drz-sci | drz-wht | drz-rms | drz-neg |  seg-map

morphology-catalog

F336W WFC3 drz-sci drz-wht | drz-rms | drz-neg | drz-con

morphology-catalog

F450W WFPC2 drz-sci | drz-wht | drz-rms | drz-neg | drz-con

morphology-catalog

F702W WFPC2 drz-sci | drz-wht | drz-rms | drz-neg | drz-con

morphology-catalog

Source Catalog

File Type cURL Scripts

Spectra 1d | 2d 0.4 GB | 2.5 GB
Graphics  summary | statmorph 0.6 GB | 0.9 GB