• Install Root Cern On Mac
• Cern Root Dmg Install Location In Windows 10
• Cern Root Windows

When trying to install some Mac Application.DMG Installers using software distribution, the software installs in the root folder of the drive instead of the Applications folder. Not all.DMG files are designed for drag and drop installation. Some.DMG files may contain multiple.pkg installers, documentation and directories.

• ROOT is an object-oriented program and library developed by CERN.It was originally designed for particle physics data analysis and contains several features specific to this field, but it is also used in other applications such as astronomy and data mining.The latest release is 6.18.00, as of 2019-06-25.
• ROOT uses the CMake cross-platform build-generator tool as a primary build system. CMake does not build the project, it generates the files needed by your build tool (GNU make, Ninja, Visual Studio, etc) for building ROOT. The classic build with configure/make is is still available but it will not be evolving with the new features of ROOT.
• Documentation – How to install CERN root on iMacs (Mac side) by Ankit Mohapatra, Feb 2014 1. Install xcode (from the app store) 2. After xcode is installed, open the terminal, and type xcode-select -install (this installs the command line tools needed for root) 3. Then in the terminal, type.

Jamf Composer has always had two formats to build installers. The standard pkg and the seemlingly standard (but not) dmg. The pkg option will build a standard pkg installer file, which will install with any system that can install pkg files.

The dmg option will build a standard dmg disk image file, with the payload of the installer as contents. On its own, however, this dmg cannot do anything. The Jamf Pro management system how ever will understand what to do and how to install the files from the dmg to a system. There are certain features in Jamf Pro which can install and distribute files to user directories and templates (called ‘Fill User Templates’ FUT and ‘Fill Every User’ FEU) which only work with dmg installers in Jamf Pro.

However, Jamf themselves have been recommending to use the standard pkg format in favor of their proprietary use of dmg. Also the Composer application is 32-bit and its future is uncertain.

Luckily there are plenty of great other third-party tools to build installer packages. I cover many of them in my book: Packaging for Apple Administrators

In general, it is probably preferable to re-visit your imaging process and rebuild any installer you still may have in dmg format from scratch. However, in some cases that might not be possible or necessary.

Since the Composer generated dmgs contain all the files for the payload in the proper folder structure you can just use the entire mounted volume as your payload root for pkgbuild. You can easily convert a Composer generated installer dmg to a standard pkg with these commands:

1) mount the dmg:

this will output a bunch of info, the very last bit is the mount point of the dmg /Volumes/Sample (the name will depend on the dmg)

2) build a pkg with the contents of the mounted dmg as a payload:

Install Root Cern On Mac

This will create Sample-1.0.pkg in your current working directory. (I like to include the version in the pkg file name, but that is entirely optional.)

3) cleanup: unmount the dmg

Obviously this will not work well with other dmgs, such as Full System dmgs, or dmgs downloaded from the web, which contain an app that should be dragged to /Applications to install (use quickpkg for those dmgs).

ROOT is an object-orientedprogram and library developed by CERN. It was originally designed for particle physicsdata analysis and contains several features specific to this field, but it is also used in other applications such as astronomy and data mining. The latest release is 6.18.04, as of 2019-09-11.^[2]

Description[edit]

Cern Root Dmg Install Location In Windows 10

CERN maintained a program library written in FORTRAN for many years; development and maintenance were discontinued in 2003 in favour of ROOT, written in C++.ROOT development was initiated by René Brun and Fons Rademakers in 1994. Some parts are published under the LGPL, and others are based on GPL software and thus are also published under the terms of the GPL. It provides platform independent access to a computer's graphics subsystem and operating system using abstract layers. Parts of the abstract platform are: a graphical user interface and a GUI builder, container classes, reflection, a C++ script and command lineinterpreter (CINT in version 5, cling in version 6), object serialization and persistence.

The packages provided by ROOT include those for

• Histogramming and graphing to view and analyze distributions and functions,
• curve fitting (regression analysis) and minimization of functionals,
• statistics tools used for data analysis,
• matrix algebra,
• four-vector computations, as used in high energy physics,
• standard mathematical functions,
• multivariate data analysis, e.g. using neural networks,
• image manipulation, used, for instance, to analyze astronomical pictures,
• access to distributed data (in the context of the Grid),
• distributed computing, to parallelize data analyses,
• persistence and serialization of objects, which can cope with changes in class definitions of persistent data,
• access to databases,
• 3Dvisualizations (geometry),
• creating files in various graphics formats, like PDF, PostScript, PNG, SVG, LaTeX, etc.
• interfacing Python and Ruby code in both directions,
• interfacing Monte Carloevent generators.

A key feature of ROOT is a data container called tree, with its substructures branches and leaves. A tree can be seen as a sliding window to the raw data, as stored in a file. Data from the next entry in the file can be retrieved by advancing the index in the tree. This avoids memory allocation problems associated with object creation, and allows the tree to act as a lightweight container while handling buffering invisibly.

ROOT is designed for high computing efficiency, as it is required to process data from the Large Hadron Collider's experiments estimated at several petabytes per year. As of 2009 ROOT is mainly used in data analysis and data acquisition in particle physics (high energy physics) experiments, and most current experimental plots and results in those subfields are obtained using ROOT.

The inclusion of a C++ interpreter (CINT until version 5.34, Cling from version 6.00) makes this package very versatile as it can be used in interactive, scripted and compiled modes in a manner similar to commercial products like MATLAB.

On July 4, 2012 the ATLAS and CMS LHC's experiments presented the status of the Standard Model Higgs search. All the plots presented that day were done using ROOT.

Criticisms[edit]

Criticisms of ROOT include its difficulty for beginners, as well as various aspects of its design and implementation. Frequent causes of frustration include extreme code bloat, heavy use of global variables,^[3] and a perverse class hierarchy. From time to time these issues are discussed on the ROOT users mailing list.^[4][5] While scientists dissatisfied with ROOT have in the past managed to work around its flaws,^[6] some of the shortcomings are slowly being addressed by the ROOT team. The CINT interpreter, for example, has been replaced by the Cling interpreter,^[7] and numerous bugs are fixed with every release.

Applications of ROOT[edit]

Several particle physics collaborations have written software based on ROOT, often in favor of using more generic solutions (e.g. using ROOT containers instead of STL).

• Some of the running particle physics experiments using software based on ROOT
  • CB-ELSA/TAPS
  • COMPASS experiment (Common Muon and Proton Apparatus for Structure and Spectroscopy)
  • CUORE (Cryogenic Underground Observatory for Rare Events)
  • GRAPES-3 (Gamma Ray Astronomy PeV EnergieS)
  • MINERνA (Main Injector Experiment for ν-A)
  • MINOS (Main injector neutrino oscillation search)
  • NA61 experiment (SPS Heavy Ion and Neutrino Experiment)
  • PHOBOS experiment at Relativistic Heavy Ion Collider
  • STAR detector (Solenoidal Tracker at RHIC)
• Future particle physics experiments currently developing software based on ROOT
  • Compressed Baryonic Matter experiment (CBM)
  • PANDA experiment (antiProton Annihilation at Darmstadt (PANDA))
  • Belle II experiment (an electron positron collider at KEK (Japan))
  • Deep Underground Neutrino Experiment (DUNE)
  • Hyper-Kamiokande (HK (Japan))
• Astrophysics (X-ray and gamma-ray astronomy, astroparticle physics) projects using ROOT
  • Alpha Magnetic Spectrometer (AMS)
  • Antarctic Impulse Transient Antenna (ANITA)
  • DEAP-3600/Cryogenic Low-Energy Astrophysics with Neon(CLEAN)
  • High Energy Stereoscopic System (H.E.S.S.)
  • Hitomi (ASTRO-H)
  • POLAR
• Computational Neuroscience projects using ROOT

See also[edit]

• Matplotlib – a plotting and analysis system for Python
• SciPy – a scientific data analysis system for Python, based on the NumPy classes
• Perl Data Language – a set of array programming extensions to the Perl programming language
• HippoDraw – an alternative C++-based data analysis system
• Java Analysis Studio – a Java-based AIDA-compliant data analysis system
• AIDA (computing) – open interfaces and formats for particle physics data processing
• Geant4 – a platform for the simulation of the passage of particles through matter using Monte Carlo methods
• CERN Program Library – legacy program library written in Fortran77, still available but not updated

References[edit]

1. ^'Project Founders'. root.cern. Retrieved 2019-06-19.
2. ^'downloading ROOT ROOT a Data analysis Framework'. root.cern. Retrieved 2019-06-25.
3. ^Buckley, Andy (2007-08-27). 'The problem with ROOT (a.k.a. The ROOT of all Evil)'. InsectNation. Retrieved 3 May 2016.
4. ^'Re: Wikipedia criticism about root'. Retrieved 3 May 2016.
5. ^'RE: Re: Wikipedia criticism about root'. Retrieved 3 May 2016.
6. ^'What is ROOT?'. 1 June 2009. Retrieved 3 May 2016.
7. ^'ROOT Version 6.06 Release Notes'. 2 June 2015. Retrieved 3 May 2016.

External links[edit]

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• The RooFit Toolkit for Data Modeling, an extension to ROOT to facilitate maximum likelihood fits
• The Toolkit for Multivariate Data Analysis with ROOT (TMVA) is a ROOT-integrated project providing a machine learning environment for the processing and evaluation of multivariate classification, both binary and multi class, and regression techniques targeting applications in high-energy physics (here or here).