In order to enable an iCal export link, your account needs to have a 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.
I have read and understood the above.
In conjunction with a having a key associated with your account, to have the possibility of exporting private event information necessitates the creation of a persistent key. This new key is also associated with your account and whilst it is active the data which can be obtained through using this key can be obtained by anyone in possession of the link provided. Due to this reason, it is extremely important that you keep links generated with this key 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 remove it from 'My Profile' under the 'HTTP API' tab and generate a new key before regenerating iCalendar links.
I have read and understood the above.
Permanent link for public information only:
Permanent link for all public and protected information:
The workshop is jointly organized by the Monte Carlo Group of DESY Analysis Center and the Particle Physics Group of University of Manchester.
At the LHC, QCD effects are crucial in the production and/or decay of the particles being measured or sought and in calculating the (often huge) backgrounds. A precise understanding of and ability to calculate QCD contributions is therefore vital to the success of the LHC.
With regard to high multiplicity final states, in particular, one has two main approaches: general purpose Monte Carlo algorithms and analytical resummation methods. The Monte Carlos try to simulate high multiplicity event in a fully exclusive way including the summation of large logarithms via the use of a parton shower. Unfortunately the accuracy of this summation is not entirely clear beyond the control of leading logarithmic terms. On the other hand analytic resummation programs make precise predictions by summing up large logarithms at least at next-to-leading logarithmic level but can be performed for a relatively small class of observables.