Website #2
@ -661,18 +661,18 @@ MAE & & 0.22 & 0.16 & 0.22 & 0.11 & 0.12 & 0.05 & 0.04 & 0.02 & 0.20 & 0.22
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\alert{Here comes the description of Mika's website.}
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Here we describe the feature of the website that we have specifically designed to gather the entire data generated during these last few years.
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Thanks to this website, one can easily test and compare the accuracy of a given method with respect to various variables such as the molecule size or its family, the nature of the excited states, the size of the basis set, etc.
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%=======================
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{
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\newcommand{\meth}{\text{meth}}
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\newcommand{\err}{\mathcal{E}}
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\newcommand{\nEx}{X}
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\newcommand{\nExnn}{\mathcal{X}}
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%=======================
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\subsection{Introduction}
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\label{sec:websiteIntro}
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%=======================
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The previous QUEST publications \cite{Loos_2018a,Loos_2019,Loos_2020b,Loos_2020c,Loos_2020d} expose vertical excitation data, some statistics were provided considering the most relevant parameters.
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But depending to the specific interest of quantum chemist this parameter selection can be irrelevant for his study.
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Furthermore to determine the accuracy of a new method it must be compared with reference data such as those of the QUEST project.
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Furthermore to determine the accuracy of a new method, it must be compared with reference data, such as those of the QUEST project.
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For this we have to calculate the same type of statistics for the new method. The QUESTDB website was created exactly for that.
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%=======================
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\subsection{Specification}
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@ -681,14 +681,16 @@ Consider
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The website specification are the following
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\begin{itemize}
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\item Display the QUEST excitations energy value as table
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\item Allow to import local file from the local computer
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\item Allow to import local files from the local computer
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\item Allow to filter data with various parameters
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\item Calculate statistics from this parameters
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\item Calculate statistics from these parameters
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\item Display a box plot graph to easily show the methods accuracy
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\end{itemize}
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this solve the issues described at \ref{sec:websiteIntro}
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%=======================
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\subsection{Project}
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%=======================
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The project containing two parts
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%------------------------------------------------
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@ -731,22 +733,23 @@ On the website the statistics are forwarded in a table and in a box plot graph.
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\subsubsection{Data generation tools}
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\label{sec:tools}
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%------------------------------------------------
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There are currently two main tool to generate data \texttt{datafileBuilder} and \texttt{ADC25generator}
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There are currently two main tools to generate data \texttt{datafileBuilder} and \texttt{ADC25generator}
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\paragraph{datafileBuilder}
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The \texttt{datafileBuilder} tool is used to build datafile from {\LaTeX} \texttt{tabular}.
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The \texttt{tabular} is associated to some options and {\LaTeX} \texttt{\textbackslash newcommand} parsed by the main script and the \texttt{tabular} environment is converted to a \texttt{NumPy} 2d array.
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So the options, \texttt{\textbackslash newcommand} and 2d array are passed to the appropriate table parser module chosen using the the \texttt{\\formatName} option in the input file.
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So the options, the {\LaTeX} \texttt{\textbackslash newcommand} to apply and the 2d array that represents the tabular environment are passed to the appropriate table parser module chosen using the \texttt{\textbackslash formatName} option in the input file.
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Each module is responsible to parse the \texttt{tabular} and return all the corresponding dataFiles as object.
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After theses object are outputted to files by the main script. Theses file can be used in the website.
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The modular aspect of this tool give us enough flexibility to easily convert0 many type of {\LaTeX} \texttt{tabular} to an uniformized file format.
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After, the main script output these objects to the corresponding files. Theses files can be used in the website
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By importing it temporarily or to make a pull request for the new data.
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The modular aspect of this tool gives us enough flexibility to easily convert many types of {\LaTeX} \texttt{tabular} to a uniformed file format.
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\paragraph*{ADC25generator}
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The \texttt{ADC25generator} tool merge ADC(2) and ADC(3) metadata and calculate the ADC(2.3) energy as
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The \texttt{ADC25generator} tool merge ADC(2) and ADC(3) metadata and calculate the ADC(2.5) energy from ADC(2) ADC(3) as
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\begin{equation}
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E_\text{ADC(23)} = \frac{E_\text{ADC(2)}+E_\text{ADC(3)}}{2}
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E_\text{ADC(2.5)} = \frac{E_\text{ADC(2)}+E_\text{ADC(3)}}{2}
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\end{equation}
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And the value is considered as not safe when one or more value as not safe
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\begin{equation}
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\mathrm{unsafe}_\text{ADC(23)} = \mathrm{unsafe}_\text{ADC(2)} \lor \mathrm{unsafe}_\text{ADC(3)}
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\mathrm{unsafe}_\text{ADC(2.5)} = \mathrm{unsafe}_\text{ADC(2)} \lor \mathrm{unsafe}_\text{ADC(3)}
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\end{equation}
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}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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