TNT · Transformations with Neutrals and Turbo analyses
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2017-07-01 → 2019-06-30
- EU contribution
- €165,599
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Transformations with Neutrals and Turbo analyses
The cost of computing power is in excess of a hundred million euros per year for the LHC. Even with such vast sums, resources still are the limiting power to accuracy of the measurements. This is particularly true for the LHCb experiment, which collects more data than can be stored. Novel methods are therefore required in order to make best use of the available computing resources. As a result of this project, in real-time, analysts are able to save any required part of an interesting event. The project has also resulted in a new machine learning package, now freely available, called NNDrone. The package allows the conversion of artificial intelligence to a faster more standardised form. The advances of the project potentially have wide implications for society. The TNT project has automated one of the most complex analyses currently performed in high energy physics, namely a decay time dependent matter-antimatter asymmetry violation measurement. The project also lays the foundations for new searches for physics beyond the standard theory that have the power to confirm previously measured LHCb hints of deviations from standard model predictions. If the discrepancy is confirmed, it will have profound implications on our understanding of the origins of our universe.
Data: CORDIS, © European Union
Project objective
The LHCb experiment at CERN was created in order to investigate decays of beauty and charm mesons produced in the proton collisions of the Large Hadron Collider (LHC). Through measurements of the observables in such decays, for example amplitudes and phases in the angular distributions of decay products, the effects of New Physics can be discovered. Disproving the Standard Model (SM) predictions through so-called flavour observables is an exciting approach to discover the answers to the questions the SM cannot solve, such as the source of the matter-antimatter differences necessary for our existence. The large backgrounds present in proton-proton collisions mean that large quantities of data must be processed, for example if all events were kept from the nominal LHCb luminosity, this would equate to ~50PB of raw data. The TNT project will enhance the physics abilities of the LHCb experiment, and will also dictate the future direction of Big Data analytics in High Energy Physics. The first two goals of this TNT project involve two new analyses of b→s transitions decaying to neutral particles, namely Bd→K*(→KSπ0)μμ and Bs→γγ, that provide complementary experimental inputs to New Physics searches. The study of these transitions will expand the physics case for the LHCb experiment and will involve the creation of new collaboration tools for the optimisation of all analyses with a single neutral particle. The third and final goal of the TNT project aims to optimise the LHCb data processing model through the extensive use of real-time analysis. Building on the success in 2015 and 2016 of the Turbo stream, allowing physics analyses to be performed with the LHCb trigger event reconstruction, the extension of this principle to flexibly save any required part of the event will transform the data processing model, permit all LHCb analyses to be performed in real time.
Original text from CORDIS.
Participants
- STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN · UtrechtCoordinatorNetherlands
Links
Data: CORDIS, © European Union