oat</cite></span></dt><dd><p>Mass scale; the distribution is centered around Mc
default: 30.0</p>
</dd>
<dt><strong>sigma</strong><span class="classifier"><cite>float</cite></span></dt><dd><p>Width of the distribution
default: 0.3</p>
</dd>
<dt><strong>param</strong><span class="classifier"><cite>dict</cite></span></dt><dd><p>Allows to pass in above parameters as dict.
e.g. param = dict(m_min=10., m_max=100., Mc=30.0, sigma=0.3)</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span