Conveners
Scientific Visualisation, GUIs and Documentation
- Danilo Piparo (CERN)
ROOT graphics had many key improvements since the last workshop, for
instance ratio plots, automatic placement of legends, automatic
coloring, and the highlight technique. We will present the most relevant
recent developments.
The tidyverse is a collection of R packages for data science sharing an underlying design philosophy and data structures similar to RDataFrame. ggplot is the graphics library component of the tidyverse, [implementing the concepts][1] behind [The Grammar of Graphics][2]. ggplot allows to express our analysis in a declarative, layered, functional way, closely related to the programming model...
For two decades, ROOT brought its own window system abstraction (for X11, GL, Cocoa, and Windows) together with its own GUI library. X11 is nearing the end of its lifetime; new windowing systems shine with performance and features. To make best use of them, the ROOT team has decided to re-implement its graphics and GUI subsystem using web technology.
To enable development of new web-based...
In the context of ROOT 7 a new web based model for Graphics is being developed using web technologies (html, JavaScript). We will present the developments already achieved, the missing features and the foreseen functionalities. This new environment already has the basic graphics classes: RCanvas, RFrame, basic primitives and attributes and coordinates system; even ROOT6 histograms etc can be...
The Fit Panel is a GUI to interactively fit histograms using all the power of the ROOT fitting tools. It can fit histograms and graphs with a predefined function, or a function defined by the user. In addition, we can edit different choices for the fitting, select a specific section of the histogram to fit or select different drawing option. The ROOT 7 version of this important GUI element is...
Doxygen is the tool ROOT used to produce the reference guide and markdown/pandoc for the all other documents. A doxygen filter has been developed the past few years coupling closely ROOT and the reference guide generation. For instance this allows to generate on the fly high definition images for inline macros' code and tutorials, to produce the tree of needed libraries for each class. Future...
The core driving force behind the data intensive nature of research in particle physics, is the level of statistical precision achievable in measuring the parameters of the Standard Model. The RooFit and RooStats data modelling packages are the gateway that allows users to interface the complex data processing abilities provided by ROOT and the precise statistical inference tools required to...
We all learn by example. Great examples are not easy to create. I'd love to see a user driven ROOT gallery. A place where users can publish examples of beautiful plots they created in ROOT or tricky issues they solved in ROOT. The gallery should be searchable and user's should be able to comment and improve examples.
