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:
Javier Duarte - UC San Diego - via BLUE JEANS - "Deep Learning for Higgs and New Physics at the LHC"
F108 (BLDG 362)
With the discovery of the Higgs boson at the CERN Large Hadron Collider, physicists acquired an important tool to probe the fundamental building blocks of the universe. Precision measurements of Higgs observables, especially the transverse momentum differential cross section, allow for unique insights into the structure of the interactions of the Higgs boson with other particles and may shed light on physics beyond the standard model. Recent developments in deep learning have enhanced our ability to study the production of Higgs bosons with very large momenta. By studying these high-momentum Higgs bosons, we may be able to discover new physics at very high energy scales inaccessible directly at the LHC. I will explain these searches and talk about the direction that deep learning is taking in particle physics, especially how it's changing the real-time trigger system, event reconstruction, and our computing paradigm.