Pre-calculated turning points of Stability-curve for stationary Shakura-Sunyaev accretion disc
<p>The pre-calculated turning points for surface density <span class="math-tex">\(\Sigma\)</span>, effective temperature <span class="math-tex">\(T_{\rm eff}\)</span> and accretion rate <span class="math-tex">\(\dot{M}\)</span> of S-shaped stability curve for stationary Shakura-Sunyaev viscous accretion disc. Calculations performed for 20 linearly scaled values of central source mass from <span class="math-tex">\(1\, M_{\odot}\)</span> to <span class="math-tex">\(20\, M_{\odot}\)</span>, 20 logarithmically scaled values of viscous parameter <span class="math-tex">\(\alpha\)</span> from <span class="math-tex">\(3\cdot10^{-4}\)</span> to 0.7, 20 logarithmically scaled values of radius from <span class="math-tex">\(7\cdot10^7\)</span> cm to <span class="math-tex">\(5\cdot10^{11}\)</span> cm.</p> <p><a href="https://github.com/AndreyTavleev/DiscVerSt">The new open-source Python3 code</a> is used to calculate the vertical structure of the disc with tabular opacity (solar chemical composition) and both convective and radiative energy transport taking into account. As a result, one can obtain S-shaped stability curve — a graphically depicted sequence of solutions of the vertical-structure equations, obtained at a single disc radius, in the coordinates of accretion rate or effective temperature versus the surface density. S-curve turn points allow to investigate the stability of disc with respect to temperature and surface density fluctuations. </p> <p>Reading of the data (Python3):</p> <pre><code class="language-python">import numpy as np data = np.genfromtxt('Turn_points_array.dat', names=True)</code></pre> <p> </p>
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