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I Introduction - Contents

I Introduction - Title Page

• I Introduction
• I.1 What is ROOT ?
• I.2 Objectives of this document
• I.3 Installation of VEGA/ROOT
• I.4 How to find information ?
• II An interactive session
• II.1 Basic intrinsic operations
• II.2 The interpreter CINT, graphical interaction through a few examples
• II.2.1 First very simple example
• II.2.2 Graphical output example
• II.2.3 Classes, methods and constructors
• II.2.4 ROOT related specifics
• II.2.5 Graphical output example: User interaction
• II.2.6 Second example : Building a multi-pad canvas
• II.2.7 Inheritance and data encapsulation
• II.2.7.1 Inheritance
• II.2.7.2 Method overriding
• II.2.8 ROOT related specifics
• II.3 An example of a macro
• II.3.1 C++ notions used: method overloading
• II.4 How to compile a macro ?
• II.4.1 Preparation of the script
• II.4.2 Compiling the script
• II.4.3 Compiling a more complex code
• III Hands on VEGA
• III.1 Preparation
• III.2 Building a database.
• III.3 Extracting a frame from the database and plotting it
• III.4 Extracting a vector from the database and plotting it
• III.5 Extracting a 2D vector (image...) from the database and plotting it
• III.6 Extracting a frame with a condition or selection
• III.7 How to deal with slow monitoring data ?
• IV More on C++ (for the interested reader)
• IV.1 C++ notions used: classes, methods and constructors
• IV.2 C++ notions used: inheritance and data encapsulation
• IV.2.1 Inheritance
• IV.2.2 Method overriding
• IV.2.3 Public and private : data encapsulation
• IV.3 C++ notions used: operators new and delete
• V Accessing and managing Gravitational Waves data
• V.1 Accessing frames through the Framelib
• V.2 Metadatabase for easy data access
• V.2.1 What for ?
• V.2.2 Principle and structure
• V.2.3 Creation of a metadatabase
• V.2.4 Accessing data through a metadatabase
• V.2.4.1 Opening an existing database
• V.2.4.2 Extracting frames
• V.2.4.3 Extracting vectors of any length
• V.2.4.4 Extracting n-tuples of SMS data
• V.2.5 Getting general information about the metadatabase and it’s contents
• V.2.5.1 Getting the start time of the metadatabase
• V.2.5.2 Printing information about the metadatabase
• V.3 Dealing with selected or triggered data
• V.3.1 Condition information in the metadatabase
• V.3.2 Condition Sets
• V.3.3 Extracting frames with a condition
• V.3.3.1 Direct methods
• V.3.3.2 Sequential methods
• V.3.4 Extracting vectors with a condition
• V.3.4.1 Direct methods
• V.3.4.2 Sequential methods
• V.3.5 Getting information about condition sets
• V.3.5.1 Printing the names of the conditions present in a metadatabase
• V.3.5.2 Current status of a condition set
• V.4 N-tuples adapted for GW data analysis
• V.4.1 Building VNtuple
• V.4.2 Filling an N-tuple and getting data
• V.4.3 Drawing
• VI Representing Gravitational Waves data
• VI.1 Series plots
• VI.2 Graphical managers of frames
• VI.2.1 Definition of managers
• VI.2.2 Building a manager : the global gVM
• VI.2.3 General use
• VI.2.4 Drawing methods
• VI.2.4.1 Drawing contents and distribution of frame vectors
• VI.2.4.2 Drawing selected contents or distribution of a frame
• VI.2.4.3 Drawing 2D vectors (images or time-frequency plots)
• VI.2.5 Management of the plots produced
• VI.3 Representing slow monitoring data
• VII Dealing with time
• VII.1 Time when accessing data
• VII.1.1 The reference time
• VII.1.2 How to set a reference time
• VII.2 Time when outputting information
• VII.2.1 Plotting frames or vectors start time
• VII.2.2 Plotting time on time series axis
• VII.2.2.1 Interactively setting time display on the axis
• VII.2.2.2 Set axis time parameters in a script
• VII.2.2.2.1 Directly
• VII.2.2.2.2 Through the style
• VIII Signal processing and algorithms
• IX The global variables often used
• IX.1 The active manager gVM
• IX.2 The active style gVStyle
• X Examples of macros
• X.1 Example 1 : Displaying a peak
• X.2 Example 2 : scrolling data
• X.3 Example 3 : histogramming some data and fitting the result
• X.4 Example 4 : Extracting some slow monitoring data and doing some simple plots
• X.5 Example 5 : Extracting a vector and plotting spectra
• XI How to compile your own code for VEGA or use the VEGA libraries in your code
• XI.1 Loading an existing shared library
• XI.2 Compiling a script and making a shared library of it
• XI.2.1 Preparation of the script
• XI.2.2 Compiling the script
• XI.2.3 Limitations
• XI.3 Building a standalone executable
• XI.3.1 Building an executable that is linked with the ROOT and VEGA libraries
• XI.3.2 Options of the vega-config utility
• XI.3.3 Using only a subset of capabilities
• XI.4 Building a general shared library usable with VEGA