Update NuisanceParametersImpact.ipynb

Author: cgiovanetti

example_notebooks/NuisanceParametersImpact.ipynb

@@ -97,7 +97,7 @@
    "id": "3295a361-7b29-4090-9226-c4418ccc5781",
    "metadata": {},
    "source": [
-    "The rate for each nuclear reaction $i$ is $r_i(T) \\equiv u^{-1} \\langle \\sigma v \\rangle (T)$, where $u$ is the atomic mass unit, $\\langle \\sigma v \\rangle$.  Rate uncertainties in LINX are captured by taking $r_i$ to be log-normally distributed, with a mean value $ \\overline{r}_i(T)$ and standard deviation $\\sigma_i(T)$.  Specifically, $\\log r_i (T) = \\log \\overline{r}_i (T) + q_i \\sigma_i (T)$, where $q_i$ is a unit Gaussian random variable.\n",
+    "The (pretabulated) rate for each nuclear reaction $i$ is $r_i(T) \\equiv u^{-1} \\langle \\sigma v \\rangle (T)$, where $u$ is the atomic mass unit, $\\langle \\sigma v \\rangle$ is the thermally-averaged cross section, and $T$ is temperature.  Rate uncertainties in LINX are captured by taking $r_i$ to be log-normally distributed, with a mean value $ \\overline{r}_i(T)$ and standard deviation $\\sigma_i(T)$.  Specifically, $\\log r_i (T) = \\log \\overline{r}_i (T) + q_i \\sigma_i (T)$, where $q_i$ is a unit Gaussian random variable.\n",
     "\n",
     "Let's define a new wrapper function that takes an argument for `nuclear_rates_q`, where `nuclear_rates_q` is an array of $q_i$.  Passing in nonzero values for the entries of `nuclear_rates_q` will allow us to vary the nuclear rates."
    ]
@@ -299,7 +299,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.12.11"
   }
  },
  "nbformat": 4,