README.md

In gschnabel/talysExforMapping: Map Data between TALYS and EXFOR

talysExforMapping - R package

This package enables the mapping from predictions by TALYS to the observables recorded in EXFOR entries. For instance, a cross section associated with a target in natural composition requires the collection and summation of data in files produced by several TALYS calculations. This package also helps to determine which calculations are necessary to predict the observables recorded in EXFOR entries.

Requirements

The R packages data.table and Matrix available on CRAN are prerequisites. Further, the custom R package jsonExforUtils is required whose installation will also be discussed in the next section.

Installation

The installation can be done from a terminal by executing the commands:

git clone https://github.com/gschnabel/jsonExforUtils.git
R CMD INSTALL jsonExforUtils

git clone https://github.com/gschnabel/talysExforMapping.git
R CMD INSTALL talysExforMapping

Basic usage

First, we load the package and set up some handlers that know how to deal with EXFOR subentries.

library(talysExforMapping)

subentHandlerList <- createDefaultSubentHandlerList()
subentHandler <- createSubentHandler(subentHandlerList)
exforHandler <- createExforHandler(subentHandler)

Next, we load an exemplary EXFOR subentry provided with the package:

xs_ntot_Al27 <- example_subent_10004002

If we want to know which TALYS calculations are required to obtain the prediction corresponding to this EXFOR subentry, we can run

expDt <- exforHandler$extractData(list(xs_ntot_Al27), ret.values=FALSE)
exforNeedsDt <- exforHandler$needs(expDt, list(xs_ntot_Al27))
print(exforNeedsDt)

The datatable exforNeedsDt contains columns indicating for which projectile, element, mass combinations TALYS needs to be run for a comparison with the EXFOR subentry.

gschnabel/talysExforMapping documentation built on May 5, 2019, 7:57 p.m.