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.
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Machine learning techniques are increasingly being applied toward data analyses at the Large Hadron Collider, especially with applications for discrimination of jets with different originating particles. In this talk, I will review machine learning at the LHC and discuss a systematic and constructive approach to extracting the information necessary for discrimination. By measuring observables on jets that completely and minimally span N-body phase space, we are able to reduce the problem in a controlled and theoretically well-defined way. For the application of discrimination of QCD jets versus boosted hadronically-decaying Z bosons, we show that discrimination power is saturated by only considering observables that are sensitive to 4-body (8 dimensional) phase space.
(Massachusetts Institute of Technology), Andrew Larkoski
(Reed Collge), Andrew Larkoski
(Harvard University), Andrew Larkoski