3D Core Collapse Supernova-Prognetiors

Model title h00002077.h5 / G20 A 3D magnetorotational model of compact star at the point of core collapse. Produced using Aenus-Alcar and GENEC. See Griffiths et al. 2026 for full details. This models shows a relatively slow rotating magnetised stellar core. Due to amplification there is a strong magnetic field in the convective regions that connect the radiative core to the rest of the star. Physical setup Progenitor mass: 20 M_{\odot} Prognetior metallicity: 0.1 Z_solar Initial equatorial velocity: 460 km/s 3D snapshot provided after 187s Central density at snapshot: 12e9 g/cm^3 Central temperature at snapshot: 0.86 MeV Infall velocity at snapshot: 1.2e8 cm/s Data / file details Format: HDF5 Geometry: Spherical Resolution: (640,128,256) Software used to generate: Aenus-Alcar / GENEC Model title h00026568.h5 / M13 A 3D magnetorotational model of compact star at the point of core collapse. Produced using Aenus-Alcar and MESA (progentior taken from Aguilera-Dena et al 2020). See Griffiths et al. 2026 for full details. This models shows a rapidly rotating magnetised stellar core. Due to amplification there is a strong magnetic field in the convective regions that connect the radiative core to the rest of the star. Physical setup Progenitor mass: 13 M_{\odot} Prognetior metallicity: 0.02 Z_solar Initial equatorial velocity: 600 km/s 3D snapshot provided after 527s (First 200 of which in 2D) Central density at snapshot: 0.48e9 g/cm^3 Central temperature at snapshot: 0.76 MeV Infall velocity at snapshot: 0.65e8 cm/s Data / file details Format: HDF5 Geometry: Spherical Resolution: (640,128,256) Software used to generate: Aenus-Alcar / MESA Data structure The datasets present in the hdf5 files are as follows. X (radius) : iplx: Index of left most physical cell iprx: Index of right most physical cell itlx: Index of left most ghost cell itrx: Index of right most ghost cell znc: Locations of cell centres znl: Locations of left interfaces znr: Locations of right interfaces Y (polar angle) : Same info as above. Z ( azimuthal angle) : Same info as above. divb: data: Contains a 3D array of the diverence of the magnetic field. Data is organised as (nz,ntheta,nr) so is an (264,136,648) array in our case. gravpot: data: Contains a 3D array of the graviational potential in the Newtonian limit. hydro: data: Contains a 4D array of conserved quantities. The indices can be found in the dataset Indices, note that these are fortran indices so 1 --> 0 in Python. We highlight a few here. I_Rh : Density [g/cm^3] ComMin, ComMax: Mass fractions listed in nuclei_28.pars run from these indices. Note that stored are density x mass fraction. I_En : Specific internal energy I_Ye : Electron fraction I_Yn: 1 - Electron fraction thd: data: Contains a 4D array of thermodynamic quantities. The indices can be found in the dataset Indices, note that these are fortran indices so 1 --> 0 in Python. We highlight a few here. I_Vx, I_Vy and I_Vz : The r theta and phi components of the velocities [cm/s] I_sneut : Losses due to thermal neutrinos [erg/g/cm^3] I_net : Nuclear energy deposition [erg/g/cm^3] I_weakneut : Losses due to weak reactions [erg/g/cm^3] I_Pgas : Gas pressure I_Entr: Entropy per baryon [kB/baryon] I_tmpr : Temperature [MeV] For any further information on the model strucutre or specificties contact: [e-mail] or [e-mail]