Dark Energy Survey Supernova Program 5YR

The DES Supernova Program 5-year Data release.

The Dark Energy Survey Supernova Program (DES-SN) consisted on 5 years of observations using the Dark Energy Survey instrument, finding Type Ia Supernovae up to cosmological redshifts \(z>1.1\).

This is the full public data release of DES-SN (DES-SN5YR) containing all data products used to compute the cosmological result from the full 5 years of photometrically classified supernovae (SNe) combined with a sample of low-redshift SNe.

Instructions to download the full data release and its accompanying python utility package can be found below.

Detailed description of release Contents

• 0 - DATA: Transient light curves from DES-SN
  • Overview
  • Data Format
• 1 - SIMULATIONS: The DES-SN5YR mock simulations
  • Overview
  • Simulation contents released
  • Reproduce the simulations
• 2 - LCFIT_MODEL: Light Curve Fitting SALT3 SED time-series
  • Overview
  • SALT3 models
• 3 - CLASSIFICATION: Classification probabilities
  • Overview
  • Classifiers
  • Release Format
• 4 - DISTANCES_COVMAT: Distances and Covariance matrix
  • Overview
  • Hubble Diagram
  • Global Parameters
  • Covariance matrices
• 5 - COSMOLOGY: SN likelihood and chains
  • Overview
  • Likelihood
  • Chains
• 6 - DCR_CORRECTIONS: Wavelength-dependent Atmospheric Corrections
  • Overview
  • Data Format
• 7 - Pippin Framework Input Files
  • Overview

The DES-SN5YR utility package

We release basic utilities for using this data. To install this package simply clone this github repo and install locally. This is also one way to obtain the full dataset.

Installation

git clone https://github.com/BrunoSanchez/DES-SN-DR.git
cd DES-SN-DR
python -m pip install -e .

Acquiring the Full Release dataset

downloaddessndr <dest_dir>

After this, in order to find your dataset globally in your system you should set up the environment variables

export DES5YRDR_DATA_ROOT='<dest_dir>'
export DES5YRDR_DATA='<dest_dir>/DES-SN5YR'

Examples of use of this Data Release

We provide some Jupyter Notebooks with examples to load and read this data, and produce some example figures. These are in the docs/tutorial directory, or in the Tutorial section on [readthedocs](https://desdrtest.readthedocs.io).

This package provides some utilities that can be imported in a Python session as

>>> from dessndr import utils, data
>>> phot = utils.PhotFITS(os.path.join(data.DES5YRDR_DATA, '0_DATA/DES-SN5YR_DES'))
>>> lc = phot.get_lc(phot.cid_recs[0]))

DES 5YR Tutorials

• DES SN 5YR Tutorial Part 1: Load DES Photometry
• DES SN 5YR Tutorial Part 3: Load LCPlot file
• DES SN 5YR Tutorial Part 3: Load DES SN Classification
• DES SN 5YR Tutorial Part 4: Hubble Diagram from DES 5YR
• DES SN 5YR Tutorial Part 5: Lambda Dependent corrections
• DES SN 5YR Tutorial Part 6: Demonstrate cosmology analysis using Des SN 5 year

Used Public cosmology Codes

• PIPPIN

• CosmoSIS

• MontePython

• Cobaya

• CosmoMC

• emcee

Using this Data

Please always obtain the data from our official download links.

Note

Version tags Always Check the tag versions to verify you are using the latest version of our data files.

Download the .zip from Zenodo

Download directly from our Zenodo release page (click in the badge):

Or get it straight from a terminal with:

wget https://zenodo.org/records/12720778/files/DES-SN5YR-1.2.zip?download=1

Clone DES-SN5YR Git repository

git clone https://github.com/des-science/DES-SN5YR

Aknowledge authorship of DES-SN5YR

Note

Please cite these references in order to give credit to the rightful authors.

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

• Vincenzi et al. 2024 - The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

• Sanchez et al. 2024 - Light curves and data release for the full Dark Energy Survey Supernova Program

• Möller et al. 2024 - The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts

• Lee & Acevedo et al. 2023 - The Dark Energy Survey Supernova Program: Corrections on Photometry Due to Wavelength-dependent Atmospheric Effects

• Kelsey et al. 2023 - Concerning colour: The effect of environment on type Ia supernova colour in the dark energy survey

• Wiseman et al. 2020 - Supernova host galaxies in the dark energy survey: I. Deep coadds, photometry, and stellar masses