The BORG SDSS data releaseLast update: 09-10-2018
This is the repository for the public releases of data products that follow a chrono-cosmographic analysis of the three-dimensional large-scale structure of the nearby Universe, as traced by SDSS main sample galaxies. These data are the product of a collaboration of Jens Jasche, Florent Leclercq and Benjamin Wandelt, with additional contributions from Nico Hamaus, Guilhem Lavaux and P.M. Sutter.Slice through the cosmic density field (left side) and radial velocity field (right side) inferred by BORG from SDSS data and estimated using phase-space interpolation techniques. The slice is about 3 Mpc/h thick around the celestial equator. Figures by Florent Leclercq (Leclercq et al. 2017), montage by Guilhem Lavaux.
The BORG SDSS data release is organised in the form of several "packages" (see below); each of them is related to some of our publications. These contain three-dimensional maps of the Universe, object catalogues, and IPython notebooks that permit to reproduce the results of our papers. Each package consists of a tar.gz archive available from the present page or from GitHub LFS, and an IPython notebook available from the GitHub repository. Please refer to the notebook in each of the packages for more information on the data and their use, as well as a list of the papers to cite.
For questions or request of additional data products, please do not hesitate to contact us, or to create a new issue in the GitHub repository.
borg_sdss_twebFebruary & March 2015
Three-dimensional probabilistic maps of cosmic web-types, using the T-web definition; python code to compute the entropy and information gain; python code to implement the decision theory formalism of arXiv:1503.00730.
Python code to compute Kullback-Leibler and Jensen-Shannon divergences; three-dimensional map of the Jensen-Shannon divergence between web-type posteriors for different dark energy models (section III.B); galaxy catalogue with colours and environmental web-type; python code to compute the information gain on galaxy colours (section III.C).