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CERN ROOT Is A Scientific Framework

CERN ROOT Is A Scientific Framework

CERN ROOT

What is CERN ROOT

CERN ROOT is a scientific framework that provides an interactive shell and graphical user interface for data analysis. It can automatically apply compression algorithms to n-tuples. It has many applications beyond particle physics, including astronomy and data mining. Its latest minor release is 6.26.

CERN ROOT is a scientific framework

CERN ROOT is a modular scientific software framework for data analysis and visualization. It is written in C++ and is used by thousands of physicists. Some of the applications that ROOT is capable of running are statistical analysis, neural networks, and graphing. In addition to its use in particle physics, ROOT is also used in other scientific fields, such as astronomy and data mining.

CERN ROOT was originally developed as a standard framework for data analysis and data visualization. It also includes a command line tool that lets users quickly peek into data files and create histograms. It was developed with big software projects in mind, which require large amounts of data to be processed.

Although ROOT has a number of advantages, it can be difficult for novices to use. It contains a complex class hierarchy, heavy use of global variables, and some other flaws. But the ROOT community is working on these issues and fixing them regularly. The CINT interpreter has been replaced with Cling, and numerous bugs have been fixed.

ROOT uses the C++ programming language, which is very popular in scientific computing. However, it's not a good language for the command line. This is because of the complexity of the language. The developers of ROOT wrote their program in C++, which is a compiled language with explicit heap access. This language is popular because it has a large amount of code, but it's also not a good scripting language. To make ROOT more user-friendly, command line code should be short and concise.

It provides a graphical user interface for data analysis

The ROOT system has a graphical user interface (GUI) and a programming interface that makes data analysis easy and straightforward. It includes features that make it a versatile tool for HEP analysis. It has an interactive C++ interpreter, high-performance I/O, and a wide range of mathematical and statistical libraries. Users can interact with the system through a graphical user interface or via the command line. In addition, it supports batch scripts and is able to dynamically link large scripts.

The GUI is constantly changing. Rene has indicated that he would like to redesign the GUI and admits that it needs improvements. He hopes the co-author of PAW++ can be brought into the ROOT team to improve the GUI. New features in the ROOT program will need new features, which will necessitate changes and additions to the GUI.

The CERN ROOT system is written in the C++ language. The language is used heavily for the system, and ROOT includes a C++ interpreter. Currently, CINT supports 95% of ANSI C and 83% of C++. Still, there is work to be done on template support and exception handling.

ROOT can be distributed, and it uses a parallel execution model. It also implements the MapReduce pattern for distributed analysis. The main advantage of this approach is that it allows users to create interactive graphical user interfaces (GUIs). Although it is largely in maintenance mode, CERN ROOT is being used for many HEP experiments.

ROOT also provides a comprehensive set of statistical analysis methods and functions for physicists. For example, it supports the creation of histograms. ROOT also includes a library of functions and methods for common operations in HEP. Moreover, the results of statistical analysis can be stored in any common and important format.

It provides an interactive shell

The CERN ROOT provides an interactive shell for users to develop and execute software. The system is platform independent, and includes a C++ interpreter and a GUI builder. The ROOT shell supports 95% of ANSI C and 85% of C++. Some features are missing, such as exceptions and templates. However, it can interpret approximately 70,000 lines of C code and is suitable for small programs.

ROOT is a sophisticated software package developed at CERN and used extensively in nuclear and high energy physics. It can be installed on most modern laptops, with a minimal requirement of 2 GB of RAM. Depending on the installation, the system may require anywhere from 2 to 4 GB of disk space. The software comes as a binary distribution package, which makes it easier to install and use. However, you should have experience building large software packages to configure the system to suit your needs. You should also be aware of the difficulty of updating ROOT.

The C++ interpreter in ROOT enables you to compile and run macros. Compiling a macro improves its performance and makes it closer to the production environment. Once the macro is compiled, it loads the compiled library on the next execution. This way, users can get almost the same performance as when running a compiled application.

The ROOT shell includes helper functions for defining ROOT data. Its constructor accepts a TTree or a TNuple, and its interface defines the interface for ROOT class TF1. The first argument of these functions is a pointer to the x-axis, while the second one is a string of parameters.

It automatically applies compression algorithms to n-tuples

ROOT has a feature for automatically filling histograms with data. It uses a pseudo-random number generator, which generates a set of 1000 random numbers and inserts them into the histogram. Then, TH1F:Draw() draws the histogram. A histogram is a representation of a probability density distribution.

The compression algorithms that ROOT applies automatically to n-tuples save a lot of memory. In comparison, a single value takes up a small amount of space on disk and must be decompressed when read. However, users should consider how they build n-tuples and analyses. To minimize processing time, it is important to keep the n-tuple sizes simple and avoid double precision.

Besides being a powerful data analysis tool, ROOT offers a graphical user interface (GUI). It allows interactive data analysis, which is useful for beginners. In addition, the GUI provides examples of typical student lab problems. The example applications help lay the foundation for more complex data analysis.

The selector function has one additional advantage for processing n-tuples: it enables portions of the data to be processed in parallel, especially on multi-core systems. This means the execution time of each process is shortened significantly. Furthermore, modern computers are equipped with multi-core CPUs and hardware-threading, which makes parallel processing a more efficient way to use CPU power.

It provides a helper class

CERN ROOT provides a helper library, called TChain, to help you create C++ code that uses CERN ROOT's libraries. The helper class is useful for building n-tuples that span multiple files. To create a TChain, use the constructor of the corresponding type (TTree or TNuple). To add files, you use the Add(fileName) function. You can also use wild-cards to specify a file.

ROOT provides a powerful I/O and data analysis framework. With an advanced graphical user interface and an interpreter for C++, it is a state-of-the-art tool for scientific data analysis. Its persistency mechanism allows it to write petabytes of data each year. In this tutorial, we will introduce the most important features of ROOT and demonstrate their use for typical data analysis problems.

This library includes helper classes for generating frequency distributions. First, we'll see how to create a histogram. The function TF1:GetRandom() generates pseudo-random numbers. Then, we'll load our data into a histogram. We can also pre-load a custom plot style using gROOT->SetStyle("MyStyleName"). The helper class is included in the tutorial, and will be called every time a session is started and ended.

ROOT also provides support for bi-dimensional graphs. The TGraph2DErrors class provides a helper class for creating and drawing bi-dimensional graphs. The helper class implements the Mersenne Twister algorithm, which allows bi-dimensional functions to be drawn as graphs.

Analyzing Petabytes of Data Scientifically With ROOT

ROOT  analyzing petabytes of data  scientifically  ROOT

For the past 20 years, scientists have used an open-source tool set called ROOT to analyze huge amounts of data. Developed at CERN and Fermilab, this tool set has become a standard for high-energy physics plots. Almost every particle physics graduate student learns how to use ROOT. It has many features and is versatile, making it a powerful tool for scientists working with enormous datasets.

Information about ROOT

ROOT is an open-source tool set used by scientists for over 20 years. Developed by the CERN and Fermilab particle physics laboratories, it is the standard tool for producing high-energy physics plots. Every particle physics graduate student is trained to use it. It handles big data volumes easily, is versatile, and enables physicists to visualize their data for scientific purposes.

ROOT is based on a C++ framework. It supports all the standard C++ functions and includes an extensive library of statistical and mathematical functions. It uses the MathCore library, which provides common mathematical and statistical functions. Examples of these include probability density, cumulative functions, inverse functions of statistical distributions, and more.

ROOT supports a variety of file formats. The data in these files can be anything from a few kilobytes to several gigabytes. ROOT also supports recursive file merging of multiple files. This enables researchers to view many datasets simultaneously, while also minimizing the memory requirements of the process. Furthermore, the program allows the creation of graphics files in several formats.

ROOT is also useful for building event display programs. Its event display application SS2.4 provides visualization of detector geometry, views of individual hits, and four-momenta. The latter data can be used to construct calorimeter jets, physics vectors, and tracks.

When working with ROOT, the interactive C++ interpreter can be helpful. This eliminates the need to compile and link code. The interpreter is also a useful tool for early phases of data analysis.

Its design

ROOT is a powerful software framework that enables scientists to analyze petabytes of data scientifically. The framework has been developed to handle the massive amounts of data produced by particle physics experiments. Its core functionality is data archiving and data analysis, and it uses an object-oriented C++ interpreter to perform a variety of tasks. This software can be used in interactive, scripted, and compiled modes.

ROOT is not suitable for beginners, however. It has several design flaws, including an over-complicated class hierarchy and heavy use of global variables. Nevertheless, developers and users are constantly working to address these problems. For example, ROOT has been upgraded from its original CINT interpreter to Cling, and it fixes many bugs every release.

The ROOT framework includes a huge collection of tools and libraries. Many newcomers to the ROOT framework start by writing their own analysis program. Then, they run the program over a data set stored in ASCII format or accessed through a relational database engine. They then look for a library that produces graphs, such as the TGraph class. This class can display a list of points, so the data in the data set can be analyzed from a variety of angles.

The underlying n-tuples used in ROOT are designed for efficient data analysis. These containers store multiple objects of the same class and can span several files. This allows researchers to work with data of various sizes and types. For example, a single ROOT container can store a large amount of data.

Its implementation

ROOT is a data mining and analysis tool, designed for large data sets. It was originally created for particle physics, but it can be used in many other fields. The program provides a rich set of libraries and tools. Its interactive GUI makes it easy for novice users to get started analyzing data.

One of the most important components of ROOT is the CINT C/C++ interpreter. This interpreter supports 95% of the ANSI C++ languages. It lacks some advanced features, such as exceptions and template support, but it can interpret up to 70,000 lines of C.

CINT is embedded in ROOT, allowing users to use the same ROOT command line and scripting and programming languages. It also has embedded dictionaries of object type information and run-time type information. CINT also provides object introspection capabilities. Once installed, users must add the $ROOTSYS/bin path to their operating system.

ROOT is a powerful tool for analyzing huge data sets. It can process data from many different sources and provides a high-quality visualization. Its developers are constantly improving the software to make it more powerful and easy to use. The ROOT team has just released version 6, and is already working on version 7. The new version will feature new features, make it faster, and simplify the user interface.

ROOT is based on C++, so its code is not entirely new. Moreover, it is easy to port to other programming languages, as long as developers stick to the rules of ROOT. Using a C++ interpreter, a ROOT script can be modified easily.

Its limitations

ROOT is a large-scale data analysis and mining platform. It was initially developed for particle physics data, but can also be used in other fields. It has many powerful features. For instance, it can store and process petabytes of data, and it has a C++ interpreter that supports interactive, scripted, and compiled mode.

The data that ROOT uses is stored in large files called n-tuples, which ROOT compresses when it stores it on disk. This reduces the amount of memory the program must use. For example, a large amount of data can be stored on a single disk, so it's important to choose a format that doesn't require a lot of space. The format of n-tuples and the types of analyses should be considered carefully. Users should avoid using double-precision calculations.

Users should also be aware that the ROOT system is not for everyone. It is challenging to use, especially for beginners, due to its over-complicated class hierarchy and heavy use of global variables. Fortunately, the ROOT team has a mailing list that allows users to discuss issues and suggestions. As a result, it's easy to get help from fellow ROOT users, and the team aims to keep the software as robust and scalable as possible.

Its uses in particle physics

HEP experiments generate petabytes of data and need an advanced tool to process and analyze this data. This is where ROOT comes in. It is an object-oriented C++ framework that has been developed by several world-renowned scientific centres. It allows for large-scale data mining, analysis, and storage.

ROOT is designed to be highly efficient, enabling scientists to analyze petabytes of data every year. It is widely used in particle physics for data acquisition and analysis. The most current high-energy physics experiments use ROOT. It also includes a C++ interpreter, allowing scientists to write scripts and interactive code.

ROOT is an open-source tool set that has been used by scientists for 20 years. It is used by CERN and Fermilab to visualize and analyze large amounts of data. Almost every high-energy physics scientist is trained to use ROOT. It is so versatile that it defines the types of visuals that physicists use to communicate their findings.

The software is also able to create graphics files in a variety of formats. For example, during the ATLAS experiment, plots were created using ROOT to show the status of the Standard Model Higgs search. It also has the ability to create the graphics files in various formats and avoid memory allocation problems associated with object creation.

The Tata Institute of Fundamental Research (TIFR)

Tata Institute of Fundamental Research  TIFR

The Tata Institute of Fundamental Research (TIFR) is a premier university located in Mumbai, India. The university is ranked #201-250 in the QS World University Rankings by Subject 2022. It is an elite institute that offers PhD programs in physics, mathematics, computer science, and neuroscience. TIFR has been the home of many renowned researchers and scientists. Its campus is home to four distinct facilities.

TIFR is ranked #201-250 in QS WUR Ranking By Subject 2022

The Tata Institute of Fundamental Research (TIFR) is one of the premier universities in India. As an Autonomous Institute of the Department of Atomic Energy, it conducts frontier research in a wide variety of fields. It offers Ph.D. degrees and M.Sc. programs, and is ranked #201-250 in Qs WUR Ranking By Subject 2022. The institute has research centers in Hyderabad, Bangalore, and Pune.

The list of universities is based on the quality of teaching and research. This year's list includes a total of 214 Indian institutions. Of those, eight institutes are ranked in the top 100, including IISc, IIT Delhi, and IIT Madras. IIT Kharagpur is ranked 71st, while Jadavpur University is ranked 99th. The rest of the Indian institutes are ranked in the 100-200 range.

The QS World University Rankings by Subject 2022 includes engineering and technology, the humanities, natural sciences, and social sciences. The ranking takes into account the quality of research, academic reputation, and graduate employment rates of various universities. In India, IIT Bombay and IIT Delhi have four academic programs among the top 100 globally.

TIFR is a university

TIFR is a leading institute of research in physics. Founded in 1942, TIFR was the first university in India to focus on theoretical and high-energy physics. In the years that followed, the institute expanded into areas such as nuclear physics, condensed matter physics, computer science, geophysics, molecular biology, and radio astronomy. The institute has three schools and several research centres.

The Tata Institute of Fundamental Research (TIFR), located in Mumbai, India, is a public research institution and deemed university. It offers degrees in six disciplines and is accredited by the National Assessment and Accreditation Council. The institute is ranked 26th among universities in India and is recognized by the University Grants Commission. The university collaborates with other universities, such as the IIT Bombay and IIT Kanpur.

The TIFR Mumbai campus has a wide range of facilities for students. The hostels are spacious and have Internet access. The hostels are equipped with study tables and other essentials. The school also offers a cafeteria that has a professional dietetic staff to ensure a healthy and nutritious diet for students.

TIFR has four facilities

TIFR conducts four-year graduate programs in Physics, Chemistry, Biology, Computer & Systems Sciences, and Mathematics. These programs are delivered at the Mumbai campus and at various national centres. For admissions to these courses, candidates must have a Bachelor's degree in a relevant subject. TIFR also accepts scores from national-level entrance examinations, which make the admission process easier.

There are four facilities on campus. The Centre for Interdisciplinary Sciences is located in Hyderabad. Here, graduate students from physics, chemistry, biology, and material science can pursue their graduate degrees. The Centre also houses a Pelletron particle accelerator. This facility is located about 100km north of Bangalore.

The Centre for Applicable Mathematics is part of the School of Mathematics on the Mumbai campus. Its research focuses on theoretical and numerical aspects of differential equations, homogenisation, solid-fluid interactions, numerical analysis of partial differential equations, and microlocal analysis. It has a renowned faculty of mathematicians.

The Balloon Facility at the Tata Institute of Fundamental Research launches zero-pressure scientific balloons every year from October to April. These balloons carry various scientific payloads. It also conducts high-energy physics experiments, atmospheric science studies, and studies of Earth's magnetic field. It also works with several national and international research laboratories.

TIFR has a library

TIFR is an institution that is known for research in many fields, including mathematical sciences, natural sciences, and technology and computer science. For example, the School of Natural Sciences has seven departments. Its library contains over 3000 journals and backfiles from the sixteenth century. It also has an extensive collection of audio-visual materials. Researchers can access these materials at any time, even outside of normal working hours.

One of the main reasons that TIFR was established is to support science. Its mission was to create a school of physics in India that would be comparable to the best in the world. At the same time, it aimed to bring the benefits of science to the Indian society. It played an important role at a critical time in the country's history.

The library contains over one million books in many disciplines. TIFR has a strong emphasis on research in frontier science, where discoveries are made before others can do so. Today, India is a more confident country with improved infrastructure, and the TIFR is committed to keeping pace with the latest developments in the field.

In addition to a large collection of books and journals, the library offers many other services. The library subscribes to more than 650 printed journals, and it offers online access to over 3000 e-journals. It also has a large collection of maps, theses, and other materials. The library also offers audio-visual materials in CD form.

TIFR has a cafeteria

The cafeterias at the Tata Institute of Fundamental Research (TIFR) offer a variety of Indian and western food. They are open eight hours a day. The Institute also has a general physician on the premises twice a week. The institute also provides transportation for a doctor's office visit during non-working hours. The institute also offers Visiting Students Research Programmes (VSRPs) for visiting students and researchers.

TIFR Mumbai also provides accommodation facilities to postdoctoral fellows. The institute provides fully furnished flats and small flats with kitchens. Fellows pay two hundred rupees a month for the small flats. The flats are fully furnished and include a gas stove. The institute also offers a large recreation center and a fitness center. It is also wifi enabled. The food at the cafeteria is delicious and healthy.

The Tata Institute of Fundamental Research (TIFR) is a public research institute based in Mumbai and Hyderabad. TIFR is a deemed university and works under the Department of Atomic Energy (DAE). It offers master's and doctoral programmes in fundamental sciences. The institute also offers a variety of integrated courses.

The TIFR is the country's premier research organisation. However, its salaries have been delayed by almost a week. While a TIFR official confirmed the delays, he did not elaborate on the reasons for the delay. The institute falls under the Prime Minister's Office and is managed by the Department of Atomic Energy.

TIFR has a gym

TIFR has a gym in Mumbai. The gym is located at TIFR Recreation Centre, Oldd Nevii Ngr, Mumbii, 400005. Nearby gyms include Command Gym, J-walk Gym, and 5 Fitness Club. The gym is easily accessible via several routes in the city. These include the Apollo Bandar Rd, Colaba Bazar, Little Gibbs Rd, and Netaji Subhash Chandra Bose Road.

The TIFR has a gym, a playground, and several eateries for its students. It is open from 8 am to 8 pm and provides various facilities for students. The gym also features a yoga room, table tennis tables, and admonition courts. It also has a staff and Jagdish Canteen, which provides nutritious snacks and meals to students.

The TIFR Mumbai hostel also has an infirmary. Students can easily access it if they have any medical problems. It has trained medical staff on call for major medical issues. The gym also has a cardio-vascular machine and is wifi-enabled. It is a great place to work out, especially if you're studying in the city.

The TIFR Mumbai campus also has large air-conditioned classrooms and an auditorium that seats over 1000 people. It features modern technology, Wi-Fi, and modern computer systems. It is also home to a gym and a fitness room with a trainer.

Why Does CERN Use ROOT?

Why does CERN use ROOT

ROOT is a system that CERN uses for data analysis. The software is designed to handle large amounts of data and provides platform-independent access to a computer's graphics subsystem. Its development is driven by the needs of CERN scientists, making it easier for them to use.

CERN uses ROOT to analyze large amounts of data

ROOT is a Python data-handling system that allows scientists to process large data sets. It contains many features, including THtml classes, client/server functionality, and an advanced 3D graphics system. It can process data in various formats and is free of cost.

ROOT was developed to handle large amounts of data in a statistically sound and efficient manner. Its primary use is in the particle physics domain and is the foundation for the latest experimental plots. The system has an intuitive graphical user interface (GUI) and is also accessible via a command line. Users can use batch scripts to carry out analysis tasks. The system supports dynamic linking of large scripts.

ROOT is a free open-source tool set developed by CERN and Fermilab. It is used to create almost all high-energy physics plots. Every particle physics graduate student learns how to use it. It is versatile, handles large data, and allows scientists to quickly produce a graphical display.

The CERN data center stores 30 petabytes of data annually. Using ROOT, researchers are able to distribute computations across clusters of machines. This method allows users to easily access and browse the large datasets that are generated by the collider. These massive datasets can also be used to create new theories and models.

ROOT includes classes that allow researchers to generate histograms based on data. The first three lines define the function and set the parameters, while the next line instantiates a histogram. This histogram has 100 bins and is equally sized.

It reduces memory consumption

ROOT is a computing library that is used at CERN to manage large amounts of data. Its developers have focused on solving the most important problems faced by CERN scientists. Its local development is making the system easier to use for scientists. The ROOT system allows scientists to access and process experiment data efficiently. The system also provides all the tools needed to produce publication-quality results.

ROOT was designed to be compatible with mFOAM. In particular, its persistent mechanism enables the mFOAM code to be compacted by about 50%. The code also benefits from improved stability. The TFoamCell class has a new interface that allows users to access data from multiple locations at once.

In addition to its improved memory efficiency, ROOT also enables researchers to create graphics files in a variety of formats. One such example is the ATLAS experiment, which presented the status of the Higgs search using an interactive plot. In this way, ROOT avoids the memory allocation problems typically associated with object creation. Further, ROOT also handles buffering invisibly, making it possible to handle large amounts of data without impacting performance.

ROOT is written in C++ and is built on top of an existing shared library called ACLiC. This framework has many features and allows users to customize compiler settings and use optimization flags for their code. It also supports C++ scripts. It is important to note that C++ code is written in C++ and should be compiled with a C++ compiler.

The ROOT data-handling system includes multiple features, including a client/server class, a THtml class, a rootd daemon, and advanced 3D graphics. The ROOT team is active in the ROOT forum, and users are encouraged to report any bugs or feature requests.

It provides platform independent access to a computer's graphics subsystem

ROOT is a free, open-source C++ programming language that provides platform-independent access to a computer's graphics sub-system. Its developers have focused on increasing computing efficiency, which is needed for processing petabytes of data each year. Most of the program's uses are in particle physics, where it is used for data analysis and acquisition. It is the software behind many of the most-current experimental plots in high-energy physics. It comes with a C++ interpreter and can be used in interactive, scripted, and compiled modes.

The graphics subsystem 118 manages an on-screen buffer 120. This buffer contains the information needed for each executing application with a graphical user interface. The application graphical component is stored in a "root" container (a screen area declared by the operating system as its own entity). It may have children, which are visually represented on top of the parent container.

It produces machine code

The ROOT computing library was developed by CERN scientists, who are experts in mathematics. It is based on the most powerful fitting engine available. It can also produce graphics files in different formats. During the ATLAS experiment, ROOT produced graphics files and plots for the Standard Model Higgs search. ROOT uses a data container called a tree, which is like a sliding window into the raw data. This helps avoid memory allocation problems that are associated with creating objects. The tree also handles buffering invisibly, enabling it to produce graphics files in many formats.

In July 2009, ROOT was used to produce the graphics of a scientific paper on the Standard Model Higgs search. It is available on the CERN Open Data portal and the workshop participants will have the opportunity to download and analyze these files using ROOT. In addition to the graphics, ROOT is also used to generate machine code for the CERN experiments.

The ROOT scripting language uses the C++ programming language. It is not a new language, but it is a subset of C++. The interpreter uses the dot command to debug and load scripts. It also manages the C++ compiler, which is important for the performance of the program.

ROOT is an open-source data analysis framework. It is a powerful tool for processing large data sets. It has been used by scientists in the field of particle physics to process petabytes of data a year. Among its most popular applications, ROOT allows researchers to analyze data in an efficient, statistically sound manner. It also provides access to all the tools necessary to produce publication-quality results.

ROOT also offers a feature that lets users fill histograms with data. Using the class TRandom, pseudo-random numbers are generated. This is done through a loop in which data is entered into a histogram. This results in 1000 random numbers being entered in the histogram. The data is then displayed by TH1F. This provides a visual representation of the probability density distribution.

It is not perfect

ROOT is an open-source visualization tool used by scientists at CERN and Fermilab. Most high-energy physics plots are created using this program, and every particle physics graduate student learns how to work with it. The tool is flexible and powerful and handles large amounts of data easily. The CERN ROOT team is constantly updating ROOT with new features. The next version is scheduled to be released during the next long shutdown of the LHC, and the team is working on it now.

The only drawback to ROOT is that it is not perfect. It is not ideal for beginners. It has a number of design flaws, such as the heavy use of global variables and a complication of the class hierarchy. These issues are often discussed on the ROOT mailing list, and the team makes an effort to fix them. Several problems have been solved in the last few releases. For example, the CINT interpreter has been replaced with the Cling interpreter, and the ROOT team is working to fix numerous bugs and issues.

In addition to not being perfect, ROOT has a number of issues that may make it unsuitable for some applications. Its default plot style is ugly and requires fixing multiple global objects. Further, its handling of indexed tuple entries is an obsfucation nightmare.

Fortunately, ROOT provides a variety of graphics marker types. Besides the basic dots, triangles, crosses, and stars, ROOT also offers alternative names for these symbols.

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