In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
(Nat. Cent. for Sci. Res. Demokritos (GR)), Lorenzo Moneta
First meeting of the MIXMAX network on innovative pseudo-random number generators.
CERN is hosting the first meeting of the MIXMAX network, a collaboration between European institutes and CERN (EU project MIXMAX-H2020-MSCA-RISE02014) to develop a new class of pseudo-random number generators based on Kolmogorov-Anosov K-systems. These new type of generators demonstrate excellent statistical property and the aim of the project is to turn them in useful products for Monte Carlo simulations and to integrate them in the CERN software applications used by the LHC and other HEP experiments.
During the first meeting, an overview of the current status of the pseudo-random number generators will be presented together with the current development status of these new class of generators. Use cases for pseudo-random number generators in HEP applications such as simulations or statistical analysis will be discussed, in particular the requirements coming from applications running in a concurrent environment.
Random number generators in ROOT35m
Implementation of the MIXMAX random number generator40m