Datasets for ``Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion''
<p>This directory contains an index.html file with links to the run<br> directories and idl plotting routines with secondary data for the other<br> figures for the paper "Magnetohydrodynamics predicts heavy-tailed<br> distributions of axion-photon conversion" by P. Carenza, R. Sharma,<br> M. C. D. Marsh, A. Brandenburg, & E. Mueller. If anything turns out to<br> be incomplete, please email brandenb@nordita.org.</p> <p>We provide details of the simulations of small-scale dynamo used for<br> the paper and provide also 3D snapshots of the magnetic fields for the<br> kinetic stage (bb8.dat) and the saturated stage (bb10.dat).</p> <p>Here, we also provide data files containing the probability of conversion<br> of photon to axion for MHD realization of the magnetic field. These<br> probabilities have been calculated using Eqs. (4) and (6) of our paper<br> and the data files bb8.dat and bb10.dat provided in the previous upload.<br> In data files relevant for Figs. 2, 5, and 6, the first and second<br> columns are the x and y coordinates, the third and fourth column<br> gives the probability of conversion for the linearly polarised light<br> in the y and x direction, respectively, and the fifth column gives the<br> probability for the unpolarised light. Additionally, we have data files,<br> "power_mag_bb8.dat" and "power_mag_bb10.dat," which contain data for<br> the magnetic field power spectra for the kinetic and saturated cases.</p> <p>Content:<br> ALP_MHD.zip (115.4 MB)<br> zip file with all run directories.</p> <p>bb10.dat (1.6 GB)<br> Run S, magnetic field as a single array, bb(512,512,512,3),</p> <p>bb10gau.dat (1.6 GB)<br> Gaussian magnetic field for Run S (same spectrum as bb10.dat)</p> <p>bb8.dat (1.6 GB)<br> Run K, magnetic field as a single array, bb(512,512,512,3),</p> <p>bb8gau.dat (1.6 GB)<br> Gaussian magnetic field for Run K (same spectrum as bb8.dat)</p> <p>D512_Pm20a2_bb8_versus_z.mpg (4.2 MB)<br> Anination of different z cross-sections for Run K</p> <p>D512_Pm20a2_versus_t.mpg (50.3 MB)<br> Anination of time evolution for Run S</p> <p>D512_Pm20a2_versus_z.mpg (5.8 MB)<br> Anination of different z cross-sections for Run S</p> <p>D512_Pm20a_gaussian9_versus_z.mpg (14.3 MB)<br> Anination of different z cross-sections for Gaussian version of Run K</p> <p>D512_Pm20a_gaussian_bb10_versus_z.mpg (9.5 MB)<br> Anination of different z cross-sections for Gaussian version of Run S</p> <p>D512_Pm20a_versus_t.mpg (19.3 MB)<br> Anination of time evolution for Run K</p> <p>rr10.dat (1.1 GB)<br> Density for Run S, rr(512,512,512).</p> <p>rr8.dat (1.1 GB)<br> Density for Run K, rr(512,512,512).</p> <p><br> Analysis files for figures (34.5 MB each)</p> <p>fig2a_bb8.dat<br> fig2b_bb8.dat<br> fig2c_bb8.dat</p> <p>fig2d_bb10.dat<br> fig2e_bb10.dat<br> fig2f_bb10.dat</p> <p>fig5a_bb8.dat<br> fig5b_bb10.dat</p> <p>fig6a_mask.dat<br> fig6b_clip.dat</p> <p>power_mag_bb8.dat (6 kB)<br> power_mag_bb10.dat (6 kB)</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4