From e64863ba4437e5298b9621b40acb051307d73887 Mon Sep 17 00:00:00 2001 From: "Jack Y. Araz" Date: Sat, 20 Jan 2024 14:42:17 -0500 Subject: [PATCH] typo fix --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 4bcce20..7cbe133 100644 --- a/README.md +++ b/README.md @@ -38,7 +38,7 @@ python -m pip install --upgrade "git+https://github.com/SpeysideHEP/spey" ## What is Spey? -Spey is a plug-in-based statistics tool that aims to collect all likelihood prescriptions under one roof. This provides users the workspace to freely combine different statistical models and study them through a single interface. In order to achieve a module that can be used both with statistical model prescriptions which has been proposed in the past and will be used in the future, Spey uses a so-called plug-in system where developers can propose their statistical model prescriptions and allow spey to use them. +Spey is a plug-in-based statistics tool that aims to collect all likelihood prescriptions under one roof. This provides users with the workspace to freely combine different statistical models and study them through a single interface. In order to achieve a module that can be used both with statistical model prescriptions which has been proposed in the past and will be used in the future, Spey uses a so-called plug-in system where developers can propose their statistical model prescriptions and allow spey to use them. ### What a plugin provides @@ -137,7 +137,7 @@ for expectation in spey.ExpectationType: Note that ``spey.ExpectationType.apriori`` and ``spey.ExpectationType.aposteriori`` expectation types resulted in a list of 5 elements which indicates $-2\sigma,\ -1\sigma,\ 0,\ +1\sigma,\ +2\sigma$ standard deviations from the background hypothesis. ``spey.ExpectationType.observed`` on the other hand resulted in single value which is -observed exclusion limit. Notice that the bounds on ``spey.ExpectationType.aposteriori`` are slightly stronger than +the observed exclusion limit. Notice that the bounds on ``spey.ExpectationType.aposteriori`` are slightly stronger than ``spey.ExpectationType.apriori`` this is due to the data value has been replaced with background yields, which are larger than the observations. ``spey.ExpectationType.apriori`` is mostly used in theory collaborations to estimate the difference from the Standard Model rather than the experimental observations. @@ -196,7 +196,7 @@ plt.show() ``` Here in the first line, we extract $1-CL_s$ values per POI for ``spey.ExpectationType.aposteriori`` -expectation type and we plot specific standard deviations which provide following plot: +expectation type and we plot specific standard deviations which provide the following plot: ![Brazilian plot](./docs/figs/brazilian_plot.png)