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Knowledge Transfer - Accelerating Innovation @ CERN

CERN tech for Quantum Systems CERN tech for Quantum Systems CERN tech for Quantum Systems Radiotherapy | Knowledge Transfer Radiotherapy | Knowledge Transfer Nuclear Medicine | Knowledge Transfer Nuclear Medicine | Knowledge Transfer Medical Imaging | Knowledge Transfer Medical Imaging | Knowledge Transfer General Medical Applications | Knowledge Transfer General Medical Applications | Knowledge Transfer Dosimetry | Knowledge Transfer Dosimetry | Knowledge Transfer Dosimetry | Knowledge Transfer Computing for Medical Applications | Knowledge Transfer Computing for Medical Applications | Knowledge Transfer Radiotherapy | Knowledge Transfer Nuclear Medicine | Knowledge Transfer Medical Imaging | Knowledge Transfer General Medical Applications | Knowledge Transfer Health, Safety and Environment Management Superconducting Magnets | Knowledge Transfer Sensors | Knowledge Transfer Health, Safety and Environment Management Superconducting Magnets | Knowledge Transfer Sensors | Knowledge Transfer Superconducting Magnets | Knowledge Transfer Health, Safety and Environment Management Sensors | Knowledge Transfer
Computing for Medical Applications | Knowledge Transfer
alegall · 2020-09-15 · via Knowledge Transfer - Accelerating Innovation @ CERN

Storing & managing very large set of data

Data storage and management of very large data sets in highly distributed, global environment. Rapidly responding and adaptable to the LHC experiments frequently changing requirements for fast, reliable and affordable storage.

Robust Big Data Analysis Framework

ROOT is a modular big data software framework, providing the functionalities needed to deal with big data statistical analysis, visualisation and storage. It is mainly written in C++ but integrated with other languages such as Python and R.

Using Monte Carlo simulation tools

Significant expertise in using and developing Monte Carlo methods to simulate particle transport and the interaction of particles with matter. Substantial know-how in the application of these methods to medical applications.

Data analysis for control systems

CERN analyses data from its large industrial infrastructure, for monitoring, control and predictive maintenance purposes. This includes data from accelerators, detectors, cryogenic systems, data centers and log files from the Worldwide LHC Computing Grid and others.

Designing & training neural networks

CERN has a long history in the design and training of neural networks, for example, in classification, filtering, event and particle detection, regression, clustering and anomaly detection. Most of the ML/DL codes are tailor made using C++, Phyton, TensorFlow and Keras and applied in software or hardware (FPGAs).

Software for empowering collaboration

Large global scientific collaborations are the foundation of CERN achievements. Scientists need to exchange documents, publications, photos, videos and more. They need to meet, physically or virtually to debate and exchange ideas. CERN has expertise in building software tools empowering such collaborations.

Interactive data analysis in the cloud

SWAN (Service for web based analysis) offers an integrated environment for data analysis in the CERN cloud where the user can find all the experiment and user data together with rich stacks of scientific software. The interface offered by the service is the one of Jupyter notebooks.

Large scale digital repositories

Software framework for large scale digital repositories. The CERN Document Server, CERN’s institutional repository containing more than 2 million records, including research publications, audiovisual material, images, is powered by INVENIO.

Software for event and agenda management

INDICO is software for large scale, web-based, multi-platform, conference lifecycle and agenda management. Used at CERN and by all CERN collaborations, it also enjoys a known worldwide install base of over 200 instances.