Bertrand BellenotCERN | CERN · Physics Department (PH)
Bertrand Bellenot
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12
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Introduction
If you can't demonstrate it with balloons, it's probably not important anyway 🎈
Publications
Publications (12)
Following the release of version 6, ROOT has entered a new area of development. It will leverage the industrial strength compiler library shipping in ROOT 6 and its support of the C++11/14 standard, to significantly simplify and harden ROOT's interfaces and to clarify and substantially improve ROOT's support for multi-threaded environments. This ta...
ROOT is used by almost all experiments throughout High Energy and
Nuclear Physics to write, read and analyse data. As use of mobile
devices (tablets, smart phones) is becoming more and more popular,
offering a portable way of monitoring or inspecting ROOT files from any
web browser, without having to install any application or library on the
server...
The redesign of JSRootIO code made it modular and usable in other projects. Many new interactive features are provided. JavaScript ROOT also implements user interface for THttpServer class.
Fireworks is a CMS event display which is specialized for the physics studies case. This specialization allows us to use a stylized rather than 3D-accurate representation when appropriate. Data handling is greatly simplified by using only reconstructed information and ideal geometry. Fireworks provides an easy-to-use interface which allows a physic...
A new stable version ("production version") v5.28.00 of ROOT [1] has been published [2]. It features several major improvements in many areas, most noteworthy data storage performance as well as statistics and graphics features. Some of these improvements have already been predicted in the original publication Antcheva et al. (2009) [3]. This versi...
ROOT is high energy physics' software for storing and mining data in a statistically sound way, to publish results with scientific graphics. It is evolving since 25 years, now providing the storage format for more than one exabyte of data; virtually all high energy physics experiments use ROOT. With another significant increase in the amount of dat...
This document discusses the state, roadmap, and risks of the foundational components of ROOT with respect to the experiments at the HL-LHC (Run 4 and beyond). As foundational components, the document considers in particular the ROOT input/output (I/O) subsystem. The current HEP I/O is based on the TFile container file format and the TTree binary ev...
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the central software players in high energy physics since decades. From its experience and expectations, the ROOT team has distilled a comprehensive set of areas that should see r...
In the context of ROOT7, the graphics system is completely redefined. Based on client server architecture and with the use of modern C++ and JavaScript, ROOT7 provides a new web based graphics system. The new concepts of ROOT7 can be displayed directly in the browsers using the new classes for opening a new web window, communicate with the server a...
The ATLAS experiment records data from the proton-proton collisions produced by the Large Hadron Collider (LHC). The Tile Calorimeter is the hadronic sampling calorimeter of ATLAS in the region | η | < 1.7 . It uses iron absorbers and scintillators as active material. Jointly with the other calorimeters it is designed for reconstruction of hadrons,...
A specialized web server, based on embeddable Civetweb http server, has been implemented in ROOT and DABC frameworks. This server can deliver data directly from running applications to a web browser where JavaScript-based code is used for interactive web graphics. Without modifications arbitrary ROOT-based code can be monitored remotely. Through a...
The parallel ROOT facility, PROOF, enables the interactive analysis of distributed data sets in a transparent way. It exploits the inherent parallelism in data sets of uncorrelated events via a multi-tier architecture that optimizes I/O and CPU utilization in heterogeneous clusters with distributed storage. On a grid, PROOF can use the available se...