DES-SN 5YR Data Release

The Dark Energy Survey Supernova 5YR Cosmological analysis and Data Release

This repo contains the data, simulations, pipeline inputs and results from the Dark Energy Survey Supernova Program 5-Year results.

Please check our ReadTheDocs for all details on contents and ancillary data description.

Summary and Overview of this Github folder

0_DATA The light curves are produced using the Scene Modelling Photometry pipeline described in Brout et al. 2019a and Sanchez et al. 2024 (in prep.). The full set of light curves will be released with Sanchez et al. 2024 (in Collaboration Wide Review).

1_SIMULATIONS: This folder includes the 25 DES mocks used for testing and validating the DES cosmological pipeline. We provide both simulated Ia and non-Ia DES light curves. Please take a look at the folder for further details.

2_LCFIT_MODEL: This folder contains the SALT3 fitting models used

• (1) for our nominal analysis (SALT3.DES5YR)
• (2) to incorporate SALT3-related systematics in our uncertainties (SALT3.DES5YR-SYS).

3_CLASSIFICATION: The file contains classification probabilities for the 1635 DES SNe used in the DES-SN5YR cosmological analysis (see folder for info on the different classification algorithms used).

4_DISTANCES_COVMAT: This folder contains all the files to fully reproduce the cosmological contours presented in DES Collaboration (2024)

• Data vector with redshifts (zHD) and distance moduli (MU) for the 1829 SNe (194 low-z + 1635 DES) used in the DES-SN5YR cosmological analysis.
• STAT-only covariance matrix.
• STAT+SYST covariance matrix.
• Single systematic covariance matrices (see README therein).

5_COSMOLOGY: SN likelihood and chains for the different cosmological models and data used in the DES Collaboration (2024) paper.

6_DCR_CORRECTIONS Wavelength dependent corrections implemented for SMP 5YR, that depend on the airmass and color of the observed events.

7_PIPPIN_FILES: This folder includes the pippin input files needed to reproduce DES simulations and cosmological analysis.

References and citing this work

The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset. JOURNAL NUMBER. DES Collaboration (2024).

The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties JOURNAL NUMBER. Vincenzi et al (2024).

Light curve and ancillary data release for the full Dark Energy Survey Supernova Program. JOURNAL NUMBER. Sánchez et al (2024)

Please, for the full documentation refer to ReadTheDocs.