Addressing Large Hadron Collider Challenges by Machine Learning

Start Date: 05/16/2021

Course Type: Common Course

Course Link:

About Course

The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. So the data processing techniques have to be quite sophisticated and unique. In this course we’ll introduce students into the main concepts of the Physics behind those data flow so the main puzzles of the Universe Physicists are seeking answers for will be much more transparent. Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. The assignments of this course will give you opportunity to apply your skills in the search for the New Physics using advanced data analysis techniques. Upon the completion of the course you will understand both the principles of the Experimental Physics and Machine Learning much better. Do you have technical problems? Write to us:

Coursera Plus banner featuring three learners and university partner logos

Course Introduction

Addressing Large Hadron Collider Challenges by Machine Learning The Large Hadron Collider (LHC) is the largest data generation machine for the time being. With the data from the collisions coming in every second, the data needs to be processed thoroughly and in a reasonable time. The main challenge for the LHC is to work with large data volumes and to do so in a way that does not introduce new data complexity. In this course we will focus on one of the main challenges of the data processing: Large Hadron Collider (LHC) data volumes. We will introduce the most common data processing techniques for large data volumes, discuss key components of the computational process, and explore approaches for working with data volumes in a safe and efficient way. We will also introduce and apply a number of machine learning techniques to handle the different data types. You will learn the basic concepts of machine learning, how to set up your machine learning system, how to run it on a PC/laptop, and how to compare different algorithms for different data types. We will also cover the different data types that are generated and processed, their different algorithms, and the important questions they raise. This course is the first part of a series: Analysis of Experiments at the LHC, Machine Learning for Data Science, and Data Mining and Processing for Data Exploration and Preparation. Please note that this is an advanced course, best suited for working with large datasets. To get the most out of this course, you should take the first two parts of

Course Tag

Related Wiki Topic

Article Example
Very Large Hadron Collider The Very Large Hadron Collider (VLHC) is a hypothetical future hadron collider with performance significantly beyond the Large Hadron Collider.
High Luminosity Large Hadron Collider The High Luminosity Large Hadron Collider (HL-LHC; formerly SLHC, Super Large Hadron Collider) is a proposed upgrade to the Large Hadron Collider to be made after around 15 years of operation, in 2025. The upgrade aims at increasing the luminosity of the machine by a factor of 10, up to 10 cms, providing a better chance to see rare processes and improving statistically marginal measurements.
Large Hadron Collider The Large Hadron Collider was the focus of the 2012 student film "Decay", with the movie being filmed on location in CERN's maintenance tunnels.
Hadron collider A hadron collider is a very large particle accelerator built to test the predictions of various theories in particle physics, high-energy physics or nuclear physics by colliding hadrons. A hadron collider uses underground tunnels to accelerate, store, and collide two particle beams.
Large Hadron Collider The Large Hadron Collider gained a considerable amount of attention from outside the scientific community and its progress is followed by most popular science media. The LHC has also inspired works of fiction including novels, TV series, video games and films.
Collider The most high-energetic collider in the world (as of 2016) is the Large Hadron Collider (LHC) at CERN. There are several particle collider projects currently under consideration.
Large Hadron Collider The experiments at the Large Hadron Collider sparked fears that the particle collisions might produce doomsday phenomena, involving the production of stable microscopic black holes or the creation of hypothetical particles called strangelets. Two CERN-commissioned safety reviews examined these concerns and concluded that the experiments at the LHC present no danger and that there is no reason for concern, a conclusion expressly endorsed by the American Physical Society.
List of Large Hadron Collider experiments This is a list of experiments at CERN's Large Hadron Collider (LHC). The LHC is the most energetic particle collider in the world, and is used to test the accuracy of the Standard Model, and to look for physics beyond the Standard Model such as supersymmetry, extra dimensions, and others.
Large Hadron Collider The Large Hadron Collider (LHC) is the world's largest and most powerful particle collider, most complex experimental facility ever built, and the largest single machine in the world. It was built by the European Organization for Nuclear Research (CERN) between 1998 and 2008 in collaboration with over 10,000 scientists and engineers from over 100 countries, as well as hundreds of universities and laboratories. It lies in a tunnel in circumference, as deep as beneath the France–Switzerland border near Geneva, Switzerland. Its first research run took place from 30 March 2010 to 13 February 2013 at an initial energy of 3.5 teraelectronvolts (TeV) per beam (7 TeV total), almost 4 times more than the previous world record for a collider, rising to 4 TeV per beam (8 TeV total) from 2012. On 13 February 2013 the LHC's first run officially ended, and it was shut down for planned upgrades. 'Test' collisions restarted in the upgraded collider on 5 April 2015, reaching 6.5 TeV per beam on 20 May 2015 (13 TeV total, the current world record). Its second research run commenced on schedule, on 3 June 2015.
Large extra dimension Analyses of results from the Large Hadron Collider severely constrain theories with large extra dimensions.
Very Large Hadron Collider Given that such a performance increase necessitates a correspondingly large increase in size, cost, and power requirements, a significant amount of international collaboration over a period of decades would be required to construct such a collider.
Large Hadron Collider CERN employee Katherine McAlpine's "Large Hadron Rap" surpassed 7 million YouTube views. The band Les Horribles Cernettes was founded by women from CERN. The name was chosen so to have the same initials as the LHC.
Very Large Hadron Collider There is no detailed plan or schedule for the VLHC; the name is used only to discuss the technological feasibility of such a collider and ways that it might be designed. The Future Circular Collider concept would qualify as such a collider.
Large Hadron Collider The LHC physics programme is mainly based on proton–proton collisions. However, shorter running periods, typically one month per year, with heavy-ion collisions are included in the programme. While lighter ions are considered as well, the baseline scheme deals with lead ions (see A Large Ion Collider Experiment). The lead ions are first accelerated by the linear accelerator LINAC 3, and the Low Energy Ion Ring (LEIR) is used as an ion storage and cooler unit. The ions are then further accelerated by the PS and SPS before being injected into LHC ring, where they reached an energy of 2.3 TeV per nucleon (or 522 TeV per ion), higher than the energies reached by the Relativistic Heavy Ion Collider. The aim of the heavy-ion programme is to investigate quark–gluon plasma, which existed in the early universe.
Large Hadron Collider The wide concrete-lined tunnel, constructed between 1983 and 1988, was formerly used to house the Large Electron–Positron Collider. It crosses the border between Switzerland and France at four points, with most of it in France. Surface buildings hold ancillary equipment such as compressors, ventilation equipment, control electronics and refrigeration plants.
Large Hadron Collider National Geographic Channel's "World's Toughest Fixes", Season 2 (2010), Episode 6 "Atom Smasher" features the replacement of the last superconducting magnet section in the repair of the collider after the 2008 quench incident. The episode includes actual footage from the repair facility to the inside of the collider, and explanations of the function, engineering, and purpose of the LHC.
Large Hadron Collider The term "hadron" refers to composite particles composed of quarks held together by the strong force (as atoms and molecules are held together by the electromagnetic force). The best-known hadrons are the baryons, protons and neutrons; hadrons also include mesons such as the pion and kaon, which were discovered during cosmic ray experiments in the late 1940s and early 1950s.
Collider In 1966, work began on the Intersecting Storage Rings at CERN, and in 1971, this collider was operational. The ISR was a pair of storage rings that accumulated particles injected by the CERN Proton Synchrotron. This was the first hadron collider, as all of the earlier efforts had worked with electrons or with electrons and positrons.
Hadron collider Only a few hadron colliders have been built. These are:
Large Hadron Collider The first physics results from the LHC, involving 284 collisions which took place in the ALICE detector, were reported on 15 December 2009. The results of the first proton–proton collisions at energies higher than Fermilab's Tevatron proton–antiproton collisions were published by the CMS collaboration in early February 2010, yielding greater-than-predicted charged-hadron production.