Dataset Open Access

Supplementary Data: Strengthening the bound on the mass of the lightest neutrino with terrestrial and cosmological experiments (arXiv:2009.03287)

The GAMBIT Cosmology Workgroup

Supplementary Data

Strengthening the bound on the mass of the lightest neutrino with terrestrial and cosmological experiments (arXiv:2009.03287)

The files in this record contain data from the scans of the models considered in the GAMBIT paper on neutrino masses.

The files consist of

  • 21 .yaml files corresponding to different models, sampling parameters and/or priors
  • 11 final .hdf5 files, containing the results of running GAMBIT with each yaml file
  • 10 .margestats files containing 1D credible regions for parameters and observables, obtained by running getdist on the hdf5 files
  • An example file 3-NHB_Neff2_PC500_pp.pip file for plotting the results of a single hdf5 file with pippi
  • A tarball including all files in this record except the hdf5 files.

The different yaml, hdf5 and margestats files corresponding to different models, priors or setttings follow the naming scheme [scan index]-[hierarchy][m_nu0 prior]_[Neff prior]_[scanner]_[extra]_[step].[extension], where

  • scan index = 1-11
  • hierarchy = NH (normal hierarchy), IH (inverted hierarchy)
  • m_nu0 pior = A (linear-log prior on m_nu0), B (linear prior on m_nu0)
  • Neff prior = 0 (Delta N_eff = 0), 1 (Delta N_eff > 0), 2 (Delta N_eff free)
  • scanner = PC500 (Polychord with 500 live points), DIV10k (Diver with NP=1e4)
  • extra = blank (standard likelihood combination), Lyalpha (likelihood also includes eBOSS DR14 Lyman-alpha BAO scale measurements)
  • step = blank (main scan), pp (postprocessing of outputs of main scan).
  • extension = yaml, margestats, hdf5/hdf5.tar.gz

A few caveats to keep in mind:

  1. The YAML files are designed to work with the tagged release of GAMBIT 1.5.0, and the pip file is tested with pippi 2.1. They may or may not work with later versions of either software (but you can of course always obtain the version that they do work with via the git history).

  2. The pip file is an example only. Users wishing to reproduce the more advanced plots in any of the GAMBIT papers should contact us for tips or scripts, or experiment for themselves. Many of these scripts are in multiple parts and require undocumented manual interventions and steps in order to implement various plot-specific customisations, so please do not expect the same level of polish as for files provided here or in the GAMBIT repo.

Files (1.6 GB)
Name Size
1-NHB_Neff0_PC500.yaml
md5:638ba7e0c2ddc2de5f84e7b883dc1ea5
8.2 kB Download
1-NHB_Neff0_PC500_pp.hdf5
md5:4c1a28d74cf5ce46cf01c5af5d5d5e4c
74.2 MB Download
1-NHB_Neff0_PC500_pp.margestats
md5:fb6f7dd75f1859dc6f34409b14a053be
7.3 kB Download
1-NHB_Neff0_PC500_pp.yaml
md5:7db3eb1b801b9bcda6312bcb1c8086c9
8.1 kB Download
10-NHB_Neff2_PC500_Lyalpha.yaml
md5:17efc28d0cca6b65b2827639e789a3a1
8.3 kB Download
10-NHB_Neff2_PC500_Lyalpha_pp.hdf5
md5:f83bda682487d7ffd35092813e87ee8f
77.4 MB Download
10-NHB_Neff2_PC500_Lyalpha_pp.margestats
md5:8c4bda695f32ab5ffbe32dfb9c231c97
7.7 kB Download
10-NHB_Neff2_PC500_Lyalpha_pp.yaml
md5:954c1af39e35635930120f18169e98e2
8.2 kB Download
11-NHB_Neff2_DIV10k.hdf5.tar.gz
md5:d430f5753c62ef369d6b5bdc1fc048b5
875.8 MB Download
11-NHB_Neff2_DIV10k.yaml
md5:2926cf1045ba139843853a8a42441365
7.9 kB Download
2-NHB_Neff1_PC500.yaml
md5:a60d9729aa18f8e27bc29c0549dd9d2f
8.3 kB Download
2-NHB_Neff1_PC500_pp.hdf5
md5:add21d0ceea9f627146a8062e231134b
76.2 MB Download
2-NHB_Neff1_PC500_pp.margestats
md5:65972168881e1e32e592bf0452cda7f0
7.7 kB Download
2-NHB_Neff1_PC500_pp.yaml
md5:afc5314355db9386054635cfac9f269e
8.2 kB Download
3-NHB_Neff2_PC500.yaml
md5:623426ec5a257721e0add3116a60bb25
8.3 kB Download
3-NHB_Neff2_PC500_pp.hdf5
md5:3eae586b62d33c00aab10ec61859a15b
75.9 MB Download
3-NHB_Neff2_PC500_pp.margestats
md5:26b548e0305438e3da4fbef95e1be8cd
7.7 kB Download
3-NHB_Neff2_PC500_pp.pip
md5:81f77ef80a089f5657d61eccd3d1a111
8.1 kB Download
3-NHB_Neff2_PC500_pp.yaml
md5:ac33149043aa2f2e4aeb7dbd05f6daa8
8.2 kB Download
4-IHB_Neff2_PC500.yaml
md5:93b4b219f3be983a399b7d5e6516b6cd
8.3 kB Download
4-IHB_Neff2_PC500_pp.hdf5
md5:04d6bb28f6811bdfbfdb4835bd1104e1
76.3 MB Download
4-IHB_Neff2_PC500_pp.margestats
md5:6029bf32a376415c84e7a40be255e359
7.7 kB Download
4-IHB_Neff2_PC500_pp.yaml
md5:aa4fa6b0bda13463c1221a3ecf97a8e8
8.2 kB Download
5-DEG_Neff2_PC500.yaml
md5:624cd7509556abbcdfe98e7ce38ca231
8.3 kB Download
5-DEG_Neff2_PC500_pp.hdf5
md5:1534eba7de122c6c4b43a1bd2f4b4903
74.0 MB Download
5-DEG_Neff2_PC500_pp.margestats
md5:a63d14cdf08334d27ba73657d5a93fb8
6.9 kB Download
5-DEG_Neff2_PC500_pp.yaml
md5:0030a9c2c03f609a542753b61da34138
8.2 kB Download
6-NHA_Neff2_PC500.yaml
md5:c3a2a5843d230a803e1d30791a2d962e
8.3 kB Download
6-NHA_Neff2_PC500_pp.hdf5
md5:56236e7012e3362faa83139d115e2ded
74.7 MB Download
6-NHA_Neff2_PC500_pp.margestats
md5:db67f2d039ac40314bc05bc07c4c3c74
7.9 kB Download
6-NHA_Neff2_PC500_pp.yaml
md5:c737fd8977c9f39b3696aac3b781d361
8.2 kB Download
7-IHB_Neff0_PC500.yaml
md5:a3c4f92f8fb56b885f45acbf1a088832
8.2 kB Download
7-IHB_Neff0_PC500_pp.hdf5
md5:e916bd31dc65838d1e12eeef97d578b9
74.2 MB Download
7-IHB_Neff0_PC500_pp.margestats
md5:dce413674457de37f1ed4e7a4f4e36da
7.3 kB Download
7-IHB_Neff0_PC500_pp.yaml
md5:7256e3cf8f49298e2f7cda9d54a36ca4
8.1 kB Download
8-IHB_Neff1_PC500.yaml
md5:1db002ecbc6247378ebe22ec67281ab9
8.3 kB Download
8-IHB_Neff1_PC500_pp.hdf5
md5:2ccb0a2c0355a09e4e2ea13f83bedfaf
75.8 MB Download
8-IHB_Neff1_PC500_pp.margestats
md5:c70abb96ba7d9ab9cfe821ff13c6d01b
7.7 kB Download
8-IHB_Neff1_PC500_pp.yaml
md5:f817657a23b0fef61df029de7c4f38d6
8.2 kB Download
9-IHA_Neff2_PC500.yaml
md5:df402fe38162f4f24aef7f897bb6eec2
8.3 kB Download
9-IHA_Neff2_PC500_pp.hdf5
md5:d11cd57d993241abe174175d9e092526
74.0 MB Download
9-IHA_Neff2_PC500_pp.margestats
md5:095d4844d5267b817b0db57f282236cb
7.9 kB Download
9-IHA_Neff2_PC500_pp.yaml
md5:b92b53288e81f73cb27e42feff793701
8.2 kB Download
CosmoBit_nu_mass_no_hdf5.tar.gz
md5:e86b271c203cdb412c13198df2760812
32.9 kB Download
README.md
md5:7fe491545231ac8b703001e8d69d2179
2.5 kB Download
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