Readme file

The following README file provides a description of the various files released for Elais-N1 in this data release.

Radio data and raw catalogues

The following files provide the radio data, plus the raw source and Gaussian catalogues produced by PyBDSF (prior to any source association) Further datasets and catalogues may be available on request (e.g. catalogues per observation date, polarisation data). For further details see Sabater et al 2021 ( https://ui.adsabs.harvard.edu/abs/2020arXiv201108211S/abstract ). For any questions, please contact Jose Sabater (jsm@roe.ac.uk).

Optical images and catalogues

The following files provide the multi-wavelength data in three key bands, plus the full combined optical/IR catalogue presented by Kondapally et al. (2021) ( https://ui.adsabs.harvard.edu/abs/2020arXiv201108201K/abstract ). Details on the creation of the multi-band mosaics, the photometry catalogues, and the recommended quality/flag cuts are outlined in Section 3 of Kondapally et al. (2021) and in the README . All magnitudes provided are in the AB system. For further information regarding the multi-wavelength data see Kondapally et al or contact Rohit Kondapally (rohitk@roe.ac.uk). Raw photometry is provided in 8 circular apertures, and in addition, photometry in our recommended aperture sizes, corrected for both aperture and Galactic extinction effects is also provided. The multi-band mosaics have a magnitude zero-point of 30mag in the AB system.

Photometric redshifts and science-ready multi-wavelength data

The following files provide the photometric redshifts as provided in Duncan et al. (2020: https://doi.org/10.1051/0004-6361/202038809 ). Details of the photometric redshift and stellar mass (limited to z < 1.5) estimation are outlined in the paper, as well as guidance on the parameter space within which these values can be trusted. Additional information regarding the definition of the photometric redshift columns can also be found in Section 4 of Duncan et al. (2019a: https://doi.org/10.1051/0004-6361/201833562 ). Columns providing Herschel far-IR information for the full optical catalogs are provided by the Herschel Extragalactic Legacy Project (HELP; https://github.com/H-E-L-P/dmu_products ) - to we which refer the reader for additional information regarding methodology and column definition. The revised 24-500um flux information for the LOFAR source population (as provided in the final cross-matched catalogues below) is presented in McCheyne et al. (in prep.). Additionally, full panchromatic spectral energy distribution fitting for the LOFAR detected population that accounts for AGN contributions and far-IR emission will be presented separately in Best et al. (in prep.).

Source-associated and cross-matched data

The following files provide the radio catalogues resulting from source association and cross-matching, as detailed in Section 4 of Kondapally et al. (2021) ( https://ui.adsabs.harvard.edu/abs/2020arXiv201108201K/abstract ). This process was carried out over the regions of the field with best-quality overlapping multi-wavelength data (see README file for details of quality/flag cuts used). See Kondapally et al for further information.

Mask and MOC files

The following files provide nan-masked radio RMS images generated based on the coverage of the overlapping multi-wavelength data in the field and bright-star masking (based on both Spitzer and optical detections). The overlapping multi-wavelength coverage and the details of the bright-star mask generation are provided in Section 3 and Appendix B of Kondapally et al. (2021) ( https://ui.adsabs.harvard.edu/abs/2020arXiv201108201K/abstract ). The multi-order coverage (MOC) maps corresponding to the masks are also provided.

Source classification files

The following files provide the radio source classifications arising from the SED fitting campaign for DR1 of the LoTSS Deep Fields. The files are described by Best et al. (2023) ( https://arxiv.org/abs/2305.05782 ).

Sources classified by Das et al. 2024

The following files provide the radio source classifications obtained by Das et al. (2024) using the SED fitting code Prospector.