How to Install and Uninstall libroot-math-splot-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: June 28,2024

1. Install "libroot-math-splot-dev" package

Please follow the instructions below to install libroot-math-splot-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libroot-math-splot-dev
            
                    
    
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2. Uninstall "libroot-math-splot-dev" package

This guide covers the steps necessary to uninstall libroot-math-splot-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libroot-math-splot-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libroot-math-splot-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libroot-math-splot-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 53
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: root-system
Version: 5.34.30-0ubuntu8
Replaces: libroot-dev
Depends: libroot-math-splot5.34 (= 5.34.30-0ubuntu8), libroot-graf2d-graf-dev, libroot-graf3d-g3d-dev, libroot-tree-treeplayer-dev
Breaks: libroot-dev (<< 5.19.01-1)
Filename: pool/universe/r/root-system/libroot-math-splot-dev_5.34.30-0ubuntu8_amd64.deb
Size: 9680
MD5sum: 33e7de8133d3ae69e70fc3b010419801
SHA1: 7f95d30183e6bbf919ccc0909efa4a518dcd052e
SHA256: 188bd6b81ae507f3849c367ae624b0667f2166265e13726305f37a849db340c9
Description-en: Splot library for ROOT - development files
The ROOT system provides a set of OO frameworks with all the
functionality needed to handle and analyze large amounts of data
efficiently.
.
A common method used in High Energy Physics to perform measurements
is the maximum Likelihood method, exploiting discriminating variables
to disentangle signal from background. The crucial point for such an
analysis to be reliable is to use an exhaustive list of sources of
events combined with an accurate description of all the Probability
Density Functions (PDF).
.
To assess the validity of the fit, a convincing quality check is to
explore further the data sample by examining the distributions of
control variables. A control variable can be obtained for instance by
removing one of the discriminating variables before performing again
the maximum Likelihood fit: this removed variable is a control
variable. The expected distribution of this control variable, for
signal, is to be compared to the one extracted, for signal, from the
data sample. In order to be able to do so, one must be able to unfold
from the distribution of the whole data sample.
.
The SPlot method allows one to reconstruct the distributions for the
control variable, independently for each of the various sources of
events, without making use of any a priori knowledge on this
variable. The aim is thus to use the knowledge available for the
discriminating variables to infer the behaviour of the individual
sources of events with respect to the control variable.
.
SPlot is optimal if the control variable is uncorrelated with the
discriminating variables.
.
This package provides development files of Splot library for ROOT.
Description-md5: 8870c5b44923d9e5b80b0891ba709390
Homepage: http://root.cern.ch
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu