Published October 17, 2023 | Version v0
Dataset Open

Datasets for "Pulsational pair-instability supernovae in gravitational-wave and electromagnetic transients" from Hendriks et al 2023.

  • 1. ROR icon University of Surrey
  • 2. ROR icon Center for Astrophysics Harvard & Smithsonian
  • 3. ROR icon University of Amsterdam
  • 4. ROR icon Max Planck Institute for Astrophysics
  • 5. Columbia University
  • 6. Simons Foundation

Description

Data related to the paper "Pulsational pair-instability supernovae in gravitational-wave and electromagnetic transients" by Hendriks et al 2023 https://doi.org/10.1093/mnras/stad2857.

  • `EVENTS_V2.2.2_SEMI_HIGH_RES*.tar.gz: main PPISN prescription variation simulation results for the GW mergers. These contain configurations for the populations and the convolved merger results which in turn contain merger rates, merger properties and events that preceded the mergers (RLOF episodes, SNe). These results are used in figures 2, 3, 6, and 7.  Figure 8 uses the SFR used in one of these simulations.
  • `EVENTS_V2.2.2_MID_RES*.tar.gz`: PPISNe prescription variation results for the transient rate evolution. These contain configurations for the populations and the convolved merger results which in turn contain merger rates, merger properties and events that preceded the mergers (RLOF episodes, SNe). These results are used in figure 4.
  • `grid_single_mass_metallicity_data.tar.gz`: data containing single-star remnant-mass data as a function of initial mass vs. final mass for our fiducial model and three variations: Farmer 2019 PPISN prescription, M_extra_ppisn_ML=10 Msun (i.e. where 10 solarmass of additional mass loss occur for each PPISN), M_co_shift_ppisn=-5 Msun (i.e. the CO core mass range that undergoes PPISN is shifted to lower masses by 5 solarmass). This data is used in figure 5.
  • `schematic_overview_data.tar.gz`: data containing single-star remnant-mass data as a function of pre-SN core mass for our fiducial models and several variations: Farmer 2019 PPISN prescription, M_extra_ppisn_ML = 5 Msun, M_co_shift_ppisn=-5 Msun, M_co_shift_ppisn=+5 Msun. This data is used in figure 1.
  • `paper_ppisne_scripts-main.tar.gz`: git-repository that contains the routines to generate the figures. The readme in this script should contain enough information, but  relevant to the data here: the user needs to store the files contained in this zenodo repository in a directory that they point to at with an environment variable called `paper_PPISNe_Hendriks2023_data_dir`. These scripts are also hosted on https://gitlab.com/dhendriks/paper_ppisne_scripts

Files

readme_zenodo.txt

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Additional details

Related works

Is supplement to
Journal article: 10.1093/mnras/stad2857 (DOI)

Funding

University of Surrey
UKRI/UOS PGR funding grant H120341A
UK Research and Innovation
Understanding the Multi-scale Universe ST/R000603/1
UK Research and Innovation
Planet Formation in Binary Stars ST/L003910/2
U.S. National Science Foundation
Heavy binary black holes in the making: constraining the physics of chemically homogeneous evolution using gravitational waves and electro-magnetic surveys of local analogues 2009131
Dutch Research Council
binWaves: Exploiting Gravitational Wave Detections for Astrophysics 28993
European Research Council
European Union’s Horizon 2020 research and innovation program 715063

Dates

Updated
2023-10-17
First update