From f13e63d688846110265d6f007d70cce1524ceeeb Mon Sep 17 00:00:00 2001 From: Anthony Lim Date: Mon, 8 Jan 2024 09:52:02 +0000 Subject: [PATCH] refs #82 paper changes from review --- paper/paper.bib | 2 +- paper/paper.md | 9 ++++----- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/paper/paper.bib b/paper/paper.bib index 65a350d9..95725c78 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -37,6 +37,6 @@ @book{bayesBook author = {Devinder Silvia, John Skilling}, edition = {Second}, publisher = {Oxford University Press}, - title = {Data Analysis A Bayesoam Tutorial}, + title = {Data Analysis A Bayesiam Tutorial}, year = {2006} } diff --git a/paper/paper.md b/paper/paper.md index 8989f3ce..7c3ace79 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -16,21 +16,20 @@ bibliography: paper.bib # Summary -It is common in science to have multiple hypothesis that could describe your data. +It is common in science to have multiple hypotheses that could describe your data. Each one of these hypothesis provides a mathematical description of the data and gives unique physical insight into the data. -However, it is not always obvious which hypothesis is the correct one and to demonstrate this figure \ref{fig:peaks} show Quasi Elastic Neutron Scattering (QENS) data fitted with one and two Lorentzian peaks. +However, it is not always obvious which hypothesis is the correct one and to demonstrate this figure \ref{fig_peaks} show Quasi Elastic Neutron Scattering (QENS) data fitted with one and two Lorentzian peaks. The [`quickBayes`](https://quickbayes.readthedocs.io/en/latest/) package is designed to make it easier for users to determine which hypothesis is correct given their data. At present there are example workflows for: -- Determining the number of lorentzians in quasielastic neutron scattering data. +- Determining the number of Lorentzians in quasielastic neutron scattering data. - Determining the number of exponential decays in MuSR data. The `quickBayes` package comes with an API that can be easily be extended by users to calculate the most likely hypothesis given their data. ![ Two plots of the same raw data from a Quasi Elastic Neutron Scattering (QENS) experiment, showing the fits for one and two peaks (it also includes a linear background and an elastic peak). The inserts show zoomed in images of the peak centre. -From the loglikelihood calculation the most likely number of peaks is two. \label{fig:peaks} ](figures/peaks.png){width=80%}{height="22pt"} - +From the loglikelihood calculation the most likely number of peaks is two. \label{fig_peaks} ](figures/peaks.png) # Statement of need