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The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specialized storage methods are used to get direct access to the separate attributes of the selected objects, without having to touch the bulk of the data. Included are histograming methods in an arbitrary number of dimensions, curve fitting, function evaluation, minimization, graphics and visualization classes to allow the easy setup of an analysis system that can query and process the data interactively or in batch mode, as well as a general parallel processing framework, PROOF, that can considerably speed up an analysis.

Thanks to the built-in C++ interpreter cling, the command, the scripting and the programming language are all C++. The interpreter allows for fast prototyping of the macros since it removes the time consuming compile/link cycle. It also provides a good environment to learn C++. If more performance is needed the interactively developed macros can be compiled using a C++ compiler via a machine independent transparent compiler interface called ACliC.

The system has been designed in such a way that it can query its databases in parallel on clusters of workstations or many-core machines. ROOT is an open system that can be dynamically extended by linking external libraries. This makes ROOT a premier platform on which to build data acquisition, simulation and data analysis systems.

License: LGPL v2.1+Test coverage

Build Status

BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status

Cite

We are DOI

Please cite us as

Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users

Screenshots

These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:

CMS Data MC Ratio Plot

Atlas P0 Trends

See more screenshots on our gallery.

Download and Getting Started

See root.cern download page for the latest binary releases.

Getting started with ROOT.

Building

Clone the repo

$ git clone https://github.com/root-project/root.git

Make a directory for building

$ mkdir build
$ cd build

Run cmake and make

$ cmake ../root
$ make -j8

Setup and run ROOT

$ source bin/thisroot.sh
$ root

More information regarding building.

Help and Support

Contribution Guidelines

About

Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks

Resources

Readme
License

Contributing

Contributing
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
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About
The ROOT system provides a set of OO frameworks with all the functionality
needed to handle and analyze large amounts of data in a very efficient way.
Having the data defined as a set of objects, specialized storage methods are
used to get direct access to the separate attributes of the selected objects,
without having to touch the bulk of the data. Included are histograming
methods in an arbitrary number of dimensions, curve fitting, function
evaluation, minimization, graphics and visualization classes to allow
the easy setup of an analysis system that can query and process the data
interactively or in batch mode, as well as a general parallel processing
framework, PROOF, that can considerably speed up an analysis.
Thanks to the built-in C++ interpreter cling, the command, the
scripting and the programming language are all C++. The interpreter
allows for fast prototyping of the macros since it removes the time
consuming compile/link cycle. It also provides a good environment to
learn C++. If more performance is needed the interactively developed
macros can be compiled using a C++ compiler via a machine independent
transparent compiler interface called ACliC.
The system has been designed in such a way that it can query its databases
in parallel on clusters of workstations or many-core machines. ROOT is
an open system that can be dynamically extended by linking external
libraries. This makes ROOT a premier platform on which to build data
acquisition, simulation and data analysis systems.
License: LGPL v2.1+Test coverage
Build Status
BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status
Cite
We are DOI
Please cite us as
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users
Screenshots
These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:
CMS Data MC Ratio Plot
Atlas P0 Trends
See more screenshots on our gallery.
Download and Getting Started
See root.cern download page for the latest binary releases.
Getting started with ROOT.
Building
Clone the repo
$ git clone https://github.com/root-project/root.git

Make a directory for building
$ mkdir build
$ cd build

Run cmake and make
$ cmake ../root
$ make -j8

Setup and run ROOT
$ source bin/thisroot.sh
$ root

More information regarding building.
Help and Support
Contribution Guidelines
About
Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
1 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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About
The ROOT system provides a set of OO frameworks with all the functionality
needed to handle and analyze large amounts of data in a very efficient way.
Having the data defined as a set of objects, specialized storage methods are
used to get direct access to the separate attributes of the selected objects,
without having to touch the bulk of the data. Included are histograming
methods in an arbitrary number of dimensions, curve fitting, function
evaluation, minimization, graphics and visualization classes to allow
the easy setup of an analysis system that can query and process the data
interactively or in batch mode, as well as a general parallel processing
framework, PROOF, that can considerably speed up an analysis.
Thanks to the built-in C++ interpreter cling, the command, the
scripting and the programming language are all C++. The interpreter
allows for fast prototyping of the macros since it removes the time
consuming compile/link cycle. It also provides a good environment to
learn C++. If more performance is needed the interactively developed
macros can be compiled using a C++ compiler via a machine independent
transparent compiler interface called ACliC.
The system has been designed in such a way that it can query its databases
in parallel on clusters of workstations or many-core machines. ROOT is
an open system that can be dynamically extended by linking external
libraries. This makes ROOT a premier platform on which to build data
acquisition, simulation and data analysis systems.
License: LGPL v2.1+Test coverage
Build Status
BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status
Cite
We are DOI
Please cite us as
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users
Screenshots
These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:
CMS Data MC Ratio Plot
Atlas P0 Trends
See more screenshots on our gallery.
Download and Getting Started
See root.cern download page for the latest binary releases.
Getting started with ROOT.
Building
Clone the repo
$ git clone https://github.com/root-project/root.git

Make a directory for building
$ mkdir build
$ cd build

Run cmake and make
$ cmake ../root
$ make -j8

Setup and run ROOT
$ source bin/thisroot.sh
$ root

More information regarding building.
Help and Support
Contribution Guidelines
About
Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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About
The ROOT system provides a set of OO frameworks with all the functionality
needed to handle and analyze large amounts of data in a very efficient way.
Having the data defined as a set of objects, specialized storage methods are
used to get direct access to the separate attributes of the selected objects,
without having to touch the bulk of the data. Included are histograming
methods in an arbitrary number of dimensions, curve fitting, function
evaluation, minimization, graphics and visualization classes to allow
the easy setup of an analysis system that can query and process the data
interactively or in batch mode, as well as a general parallel processing
framework, PROOF, that can considerably speed up an analysis.
Thanks to the built-in C++ interpreter cling, the command, the
scripting and the programming language are all C++. The interpreter
allows for fast prototyping of the macros since it removes the time
consuming compile/link cycle. It also provides a good environment to
learn C++. If more performance is needed the interactively developed
macros can be compiled using a C++ compiler via a machine independent
transparent compiler interface called ACliC.
The system has been designed in such a way that it can query its databases
in parallel on clusters of workstations or many-core machines. ROOT is
an open system that can be dynamically extended by linking external
libraries. This makes ROOT a premier platform on which to build data
acquisition, simulation and data analysis systems.
License: LGPL v2.1+Test coverage
Build Status
BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status
Cite
We are DOI
Please cite us as
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users
Screenshots
These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:
CMS Data MC Ratio Plot
Atlas P0 Trends
See more screenshots on our gallery.
Download and Getting Started
See root.cern download page for the latest binary releases.
Getting started with ROOT.
Building
Clone the repo
$ git clone https://github.com/root-project/root.git

Make a directory for building
$ mkdir build
$ cd build

Run cmake and make
$ cmake ../root
$ make -j8

Setup and run ROOT
$ source bin/thisroot.sh
$ root

More information regarding building.
Help and Support
Contribution Guidelines
About
Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
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About
The ROOT system provides a set of OO frameworks with all the functionality
needed to handle and analyze large amounts of data in a very efficient way.
Having the data defined as a set of objects, specialized storage methods are
used to get direct access to the separate attributes of the selected objects,
without having to touch the bulk of the data. Included are histograming
methods in an arbitrary number of dimensions, curve fitting, function
evaluation, minimization, graphics and visualization classes to allow
the easy setup of an analysis system that can query and process the data
interactively or in batch mode, as well as a general parallel processing
framework, PROOF, that can considerably speed up an analysis.
Thanks to the built-in C++ interpreter cling, the command, the
scripting and the programming language are all C++. The interpreter
allows for fast prototyping of the macros since it removes the time
consuming compile/link cycle. It also provides a good environment to
learn C++. If more performance is needed the interactively developed
macros can be compiled using a C++ compiler via a machine independent
transparent compiler interface called ACliC.
The system has been designed in such a way that it can query its databases
in parallel on clusters of workstations or many-core machines. ROOT is
an open system that can be dynamically extended by linking external
libraries. This makes ROOT a premier platform on which to build data
acquisition, simulation and data analysis systems.
License: LGPL v2.1+Test coverage
Build Status
BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status
Cite
We are DOI
Please cite us as
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users
Screenshots
These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:
CMS Data MC Ratio Plot
Atlas P0 Trends
See more screenshots on our gallery.
Download and Getting Started
See root.cern download page for the latest binary releases.
Getting started with ROOT.
Building
Clone the repo
$ git clone https://github.com/root-project/root.git

Make a directory for building
$ mkdir build
$ cd build

Run cmake and make
$ cmake ../root
$ make -j8

Setup and run ROOT
$ source bin/thisroot.sh
$ root

More information regarding building.
Help and Support
Contribution Guidelines
About
Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
About
The ROOT system provides a set of OO frameworks with all the functionality
needed to handle and analyze large amounts of data in a very efficient way.
Having the data defined as a set of objects, specialized storage methods are
used to get direct access to the separate attributes of the selected objects,
without having to touch the bulk of the data. Included are histograming
methods in an arbitrary number of dimensions, curve fitting, function
evaluation, minimization, graphics and visualization classes to allow
the easy setup of an analysis system that can query and process the data
interactively or in batch mode, as well as a general parallel processing
framework, PROOF, that can considerably speed up an analysis.
Thanks to the built-in C++ interpreter cling, the command, the
scripting and the programming language are all C++. The interpreter
allows for fast prototyping of the macros since it removes the time
consuming compile/link cycle. It also provides a good environment to
learn C++. If more performance is needed the interactively developed
macros can be compiled using a C++ compiler via a machine independent
transparent compiler interface called ACliC.
The system has been designed in such a way that it can query its databases
in parallel on clusters of workstations or many-core machines. ROOT is
an open system that can be dynamically extended by linking external
libraries. This makes ROOT a premier platform on which to build data
acquisition, simulation and data analysis systems.
License: LGPL v2.1+Test coverage
Build Status
BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status
Cite
We are DOI
Please cite us as
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users
Screenshots
These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:
CMS Data MC Ratio Plot
Atlas P0 Trends
See more screenshots on our gallery.
Download and Getting Started
See root.cern download page for the latest binary releases.
Getting started with ROOT.
Building
Clone the repo
$ git clone https://github.com/root-project/root.git

Make a directory for building
$ mkdir build
$ cd build

Run cmake and make
$ cmake ../root
$ make -j8

Setup and run ROOT
$ source bin/thisroot.sh
$ root

More information regarding building.
Help and Support
Contribution Guidelines
About
Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
About
The ROOT system provides a set of OO frameworks with all the functionality
needed to handle and analyze large amounts of data in a very efficient way.
Having the data defined as a set of objects, specialized storage methods are
used to get direct access to the separate attributes of the selected objects,
without having to touch the bulk of the data. Included are histograming
methods in an arbitrary number of dimensions, curve fitting, function
evaluation, minimization, graphics and visualization classes to allow
the easy setup of an analysis system that can query and process the data
interactively or in batch mode, as well as a general parallel processing
framework, PROOF, that can considerably speed up an analysis.
Thanks to the built-in C++ interpreter cling, the command, the
scripting and the programming language are all C++. The interpreter
allows for fast prototyping of the macros since it removes the time
consuming compile/link cycle. It also provides a good environment to
learn C++. If more performance is needed the interactively developed
macros can be compiled using a C++ compiler via a machine independent
transparent compiler interface called ACliC.
The system has been designed in such a way that it can query its databases
in parallel on clusters of workstations or many-core machines. ROOT is
an open system that can be dynamically extended by linking external
libraries. This makes ROOT a premier platform on which to build data
acquisition, simulation and data analysis systems.
License: LGPL v2.1+Test coverage
Build Status
BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status
Cite
We are DOI
Please cite us as
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users
Screenshots
These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:
CMS Data MC Ratio Plot
Atlas P0 Trends
See more screenshots on our gallery.
Download and Getting Started
See root.cern download page for the latest binary releases.
Getting started with ROOT.
Building
Clone the repo
$ git clone https://github.com/root-project/root.git

Make a directory for building
$ mkdir build
$ cd build

Run cmake and make
$ cmake ../root
$ make -j8

Setup and run ROOT
$ source bin/thisroot.sh
$ root

More information regarding building.
Help and Support
Contribution Guidelines
About
Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks
Resources
Readme
License
Contributing
Contributing
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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About
The ROOT system provides a set of OO frameworks with all the functionality
needed to handle and analyze large amounts of data in a very efficient way.
Having the data defined as a set of objects, specialized storage methods are
used to get direct access to the separate attributes of the selected objects,
without having to touch the bulk of the data. Included are histograming
methods in an arbitrary number of dimensions, curve fitting, function
evaluation, minimization, graphics and visualization classes to allow
the easy setup of an analysis system that can query and process the data
interactively or in batch mode, as well as a general parallel processing
framework, PROOF, that can considerably speed up an analysis.
Thanks to the built-in C++ interpreter cling, the command, the
scripting and the programming language are all C++. The interpreter
allows for fast prototyping of the macros since it removes the time
consuming compile/link cycle. It also provides a good environment to
learn C++. If more performance is needed the interactively developed
macros can be compiled using a C++ compiler via a machine independent
transparent compiler interface called ACliC.
The system has been designed in such a way that it can query its databases
in parallel on clusters of workstations or many-core machines. ROOT is
an open system that can be dynamically extended by linking external
libraries. This makes ROOT a premier platform on which to build data
acquisition, simulation and data analysis systems.
License: LGPL v2.1+Test coverage
Build Status
BranchContinuousNightly
masterBuild StatusBuild Status
master-noimtBuild StatusBuild Status
v6-14-00-patchesBuild StatusBuild Status
v6-12-00-patchesBuild StatusBuild Status
v6-10-00-patchesBuild StatusBuild Status
v5-34-00-patchesBuild StatusBuild Status
Cite
We are DOI
Please cite us as
Rene Brun and Fons Rademakers, ROOT - An Object Oriented Data Analysis Framework,
Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996,
Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.
See also "ROOT" [software], Release vX.YY/ZZ, dd/mm/yyyy,
https://doi.org/10.5281/zenodo.848819.

Live Demo for CERN Users
Screenshots
These screenshots shows some of the plots (produced using ROOT) presented when the Higgs boson discovery was announced at CERN:
CMS Data MC Ratio Plot
Atlas P0 Trends
See more screenshots on our gallery.
Download and Getting Started
See root.cern download page for the latest binary releases.
Getting started with ROOT.
Building
Clone the repo
$ git clone https://github.com/root-project/root.git

Make a directory for building
$ mkdir build
$ cd build

Run cmake and make
$ cmake ../root
$ make -j8

Setup and run ROOT
$ source bin/thisroot.sh
$ root

More information regarding building.
Help and Support
Contribution Guidelines
About
Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks
Resources
Readme
License
Contributing
Contributing
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages