Update README.md

beykyle · web-flow · commit c692a40651b8 · 2025-04-23T11:10:35.000-04:00
diff --git a/README.md b/README.md
@@ -6,7 +6,7 @@ Some lightweight tools to grab data from the [EXFOR database](https://www-nds.ia
 
 ## use case
 
-You have a model $f(x,\alpha)$ and you would like to find some data $y(x)$ to constrain the $\alpha$ in my model. You would like to do this in a statistically rigorous way, in which you take into account various types of uncertainties, including systematic uncertainties that introduce correlations between $y(x_i)$ and $y(x_j)$. You would also like to do this with large data sets comprised of may different experiments. In other words, you would like to curate a data set $y$ -- composed of reaction observables like differential cross sections -- and have the information required to construct a covariance matrix for it. And you would like it to be sorted into computationally convenient data structures that you can use for visualization, or comparison to your model. You've come to the right place.
+You have a reaction model $f(x,\alpha)$ and you would like to find some data $y(x)$ to constrain the $\alpha$. Here $x$ can be energy, angle, type of reaction, projectile and target, etc.  You would like to do this in a statistically rigorous way, in which you take into account various types of uncertainties, including systematic uncertainties that introduce correlations between $y(x_i)$ and $y(x_j)$. You would also like to do this with large data sets comprised of many different experiments. In other words, you would like to curate a data set $y$ -- composed of reaction observables like differential cross sections -- and have the information required to construct a covariance matrix for it. And you would like it to be sorted into computationally convenient data structures that you can use for visualization, or comparison to your model. You've come to the right place.
 
 
 

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`@@ -6,7 +6,7 @@ Some lightweight tools to grab data from the [EXFOR database](https://www-nds.ia`
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`7`	`7`	`## use case`
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`9`		-You have a model $f(x,\alpha)$ and you would like to find some data $y(x)$ to constrain the $\alpha$ in my model. You would like to do this in a statistically rigorous way, in which you take into account various types of uncertainties, including systematic uncertainties that introduce correlations between $y(x_i)$ and $y(x_j)$. You would also like to do this with large data sets comprised of may different experiments. In other words, you would like to curate a data set $y$ -- composed of reaction observables like differential cross sections -- and have the information required to construct a covariance matrix for it. And you would like it to be sorted into computationally convenient data structures that you can use for visualization, or comparison to your model. You've come to the right place.
	`9`	+You have a reaction model $f(x,\alpha)$ and you would like to find some data $y(x)$ to constrain the $\alpha$. Here $x$ can be energy, angle, type of reaction, projectile and target, etc. You would like to do this in a statistically rigorous way, in which you take into account various types of uncertainties, including systematic uncertainties that introduce correlations between $y(x_i)$ and $y(x_j)$. You would also like to do this with large data sets comprised of many different experiments. In other words, you would like to curate a data set $y$ -- composed of reaction observables like differential cross sections -- and have the information required to construct a covariance matrix for it. And you would like it to be sorted into computationally convenient data structures that you can use for visualization, or comparison to your model. You've come to the right place.
`10`	`10`
`11`	`11`
`12`	`12`