Renaissance Simulations Laboratory

Explore the first galaxies through physics-based modeling, simulation, and data exploration

Investigate

This is the place to access and analyze data from the Renaissance Simulations. Below is a table of all simulations comprising the Renaissance Simulation suite, including a list of all publications to make use of each data set. All simulations were initialized at redshift 99, but each was run down to a different final redshift, as indicated in the table. The table also gives the models used for including Lyman-Werner radiation from local and background sources. See here for a full, technical description of the simulations.

Each link in the table will take you to a page containing further details of that particular simulation as well as links to download full snapshots, halo catalogs, and merger trees. The pages also contains links to launch Jupyter notebook sessions that will allow you to work with all available data using yt and ytree. You will be provided with persistent storage space with which to save analysis scripts and results. For more information on running analysis on the RSL, see the User Guide.

Simulation Local Lyman-Werner Background Lyman-Werner Final Redshift Publications
Normal_BG LS2 BG 11.90 5, 7
Normal_BG1 LS2 BG1 11.60 8, 11, 12
Rarepeak LS1 None 14.80 1, 2, 3, 4
Rarepeak_LW LS2 None 15.00
Rarepeak_LWB LS2 BG 15.00 5, 7, 8, 9, 10, 12
Void LS2 None 7.60 5, 6, 7, 8
Void_BG1 LS2 BG1 9.90 6, 12

Publications

  1. "Population III Stars and Remnants in High Redshift Galaxies", Xu, H., Wise, J.H., & Norman, M.L., 2013, ApJ, 773, 83.
  2. "Heating the Intergalactic Medium by X-Rays from Population III Binaries in High-redshift Galaxies", Xu, H., Ahn, K., Wise, J.H., Norman, M.L., & O'Shea, B.W., 2014, ApJ, 791, 110.
  3. "Scaling Relations for Galaxies Prior to Reionization", Chen, P., Wise, J.H., Norman, M.L., Xu, H., & O'Shea, B.W., 2014, ApJ, 795, 144.
  4. "Spatially Extended 21 cm Signal from Strongly Clustered Uv and X-Ray Sources in the Early Universe", Ahn, K., Xu, H., Norman, M.L., Alvarez, M.A., & Wise, J.H., 2015, ApJ, 802, 8.
  5. "Probing the Ultraviolet Luminosity Function of the Earliest Galaxies with the Renaissance Simulations", O'Shea, B.W., Wise, J.H., Xu, H., & Norman, M.L., 2015, ApJL, 807, L12.
  6. "Late Pop III Star Formation During the Epoch of Reionization: Results from the Renaissance Simulations", Xu, H., Norman, M.L., O'Shea, B.W., & Wise, J.H., 2016, ApJ, 823, 140.
  7. "X-Ray Background at High Redshifts from Pop III Remnants: Results from Pop III Star Formation Rates in the Renaissance Simulations", Xu, H., Ahn, K., Norman, M.L., Wise, J.H., & O'Shea, B.W., 2016, ApJL, 832, L5.
  8. "Galaxy Properties and UV Escape Fractions during the Epoch of Reionization: Results from the Renaissance Simulations", Xu, H., Wise, J.H., Norman, M.L., Ahn, K., & O'Shea, B.W., 2016, ApJ, 833, 84.
  9. "First light: exploring the spectra of high-redshift galaxies in the Renaissance Simulations", Barrow, K.S.S., Wise, J.H., Norman, M.L., O'Shea, B.W., & Xu, H., 2017, MNRAS, 469, 4863.
  10. "First light - II. Emission line extinction, population III stars, and X-ray binaries", Barrow, K.S.S., Wise, J.H., Aykutalp, A., O'Shea, B.W., Norman, M.L., & Xu, H., 2018, MNRAS, 474, 2617.
  11. "Fully Coupled Simulation of Cosmic Reionization. III. Stochastic Early Reionization by the Smallest Galaxies", Chen, P., Norman, M.L, Xu, H., & Wise, J.H., 2018, ApJ, 867, 27.
  12. "The Growth of Black Holes from Population III Remnants in the Renaissance Simulations", Smith, B., Regan, J., Downes, T., Norman, M., O'Shea, B., & Wise, J., 2018, MNRAS, 480, 3762.
  13. "Simulating the Cosmic Dawn With Enzo", Norman, M., Smith, B., & Bordner, J., 2018, Frontiers in Astronomy and Space Sciences, 5, 34.
  14. "Formation of massive black holes in rapidly growing pre-galactic gas clouds", Wise, J., Regan, J., O'Shea, B., Norman, M., Downes, T., & Xu, H., 2019, Nature, Volume 566, Issue 7742, p.85-88.
  15. "The Emergence of the First Star-free Atomic Cooling Haloes in the Universe", Regan, J., Wise, J., O'Shea, B., & Norman, M., 2019, Submitted to MNRAS.