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Numerical data for "Black Hole Metamorphosis and Stabilization by Memory Burden [arXiv:2006.00011]"

<p>This is the numerical data that belongs to the paper</p> <p>G. Dvali, L. Eisemann, M. Michel, S. Zell, <em>Black Hole Metamorphosis and Stabilization by Memory Burden</em>, <a href="https://doi.org/10.1103/PhysRevD.102.103523">Phys. Rev. D <strong>102</strong> (2020) 103523</a>, <a href="https://arxiv.org/abs/2006.00011">arXiv:2006.00011</a>.</p> <p>The numerical data is generated using the computer program <em>TimeEvolver</em>, which was presented in</p> <p>M. Michel, S. Zell, <em>TimeEvolver: A Program for Time Evolution With Improved Error Bound, </em><a href="https://doi.org/10.1016/j.cpc.2022.108374">Comput. Phys. Commun. <strong>277</strong> (2022) 108374</a>, <a href="https://arxiv.org/abs/2205.15346">arXiv:2205.15346</a>.</p> <p>In the following, equation numbers refer to the latest arXiv-version of <a href="https://arxiv.org/abs/2006.00011">arXiv:2006.00011</a>, where also all relevant definitions can be found. In this paper, the procedure for generating the data, which we summarize in the following, is also described in more detail.</p> <p>First, among the five parameters N<sub>c</sub>; <sup><span class="math-tex">\(\epsilon\)</span></sup><sub>m</sub>; C<sub>0</sub>; ∆N<sub>c</sub>; K all but one are fixed (according to eq. (36)). Then for different values of the remaining unfixed parameter - subsequently called X - the following 2-step process is performed.</p> <ol> <li>Time evolution is computed (with the initial state shown in eq. (35)) for many different values of the parameter C<sub>m</sub> in the interval [0;1] (sampling step 10<sup>-3</sup>). The results for X are stored in five folders called &quot;X&quot;, the subfolders of which contain data for different values of X. For example, the subfolder &quot;01&quot; of the folder &quot;C0&quot; consists of data for C<sub>0</sub>=0.01. Please note that the folders &quot;Cgap&quot;, &quot;N0&quot; and &quot;Q&quot; correspond to X=<span class="math-tex">\(\epsilon\)</span><sub>m</sub>, X=N<sub>c</sub> and X=K, respectively. Subsequently, &quot;rewriting values&quot; of&nbsp;C<sub>m</sub> are selected as those for which the amplitude of n<sub>0</sub> is sufficiently large (1.2 times than in the case C<sub>m</sub>=0). This is done in Mathematica-notebooks &quot;_New.nb&quot;. Finally, rewriting values for different values of X are collected using Mathematica-notebooks with names that start on &quot;_Meta&quot;. These notebooks generate the 5 plots shown in figures 4(a), 5(a), 6(a), 7(a) and 8(a).</li> <li>Next finer scans are performed around some of the rewriting values determined in step 1 (new sampling step 5 10<sup>-5</sup>).&nbsp; The results are stored in five folders called &quot;XRates&quot;, where again subfolders correspond to different values of X. For example, the subfolder &quot;01&quot; of the folder &quot;C0Rates&quot; consists of finer scans in&nbsp;C<sub>m</sub> around rewriting value of&nbsp;C<sub>m</sub> for C<sub>0</sub>=0.01. Next, Mathematica-notebooks with the names&nbsp;&quot;_New.nb&quot; or&nbsp;&quot;_NewRates.nb&quot; are used to select around each rewriting value the C<sub>m</sub> that leads to the largest rate (see definition in <a href="https://arxiv.org/abs/2006.00011">arXiv:2006.00011</a>). Finally, these maximal rates for different values of X are collected using Mathematica-notebooks with names that start on &quot;_Meta&quot; and end on &quot;Rates.nb&quot;.&nbsp;These notebooks generate the 5 plots shown in figures 4(b), 5(b), 6(b), 7(b) and 8(b).</li> </ol>

ShareScore

44/100

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
8
Engagement
8

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