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:
Simulation-based inference: a new paradigm for cosmoparticle data analysis
(SU / OKC)
The data analysis paradigm that we all know and love as cosmologists is a path well-trodden: (1) collect data, (2) write down a likelihood-function for those data given your model for the underlying physics and measurement process, (3) interrogate that likelihood with MCMC sampling (or ratio tests, etc). However, as the era of precision cosmology matures, we find ourselves needing to analyze increasingly complex data — governed by non-linear physics, nasty systematics and selection effects, etc — to make progress. In the face of these complexities, writing down a nice closed-form likelihood becomes hard, or even intractable, and our standard inference methods begin to fail. Meanwhile, making forward simulations of your experiment (with all the nastiness included) is much easier; wouldn’t it be nice if we could just use forward simulations directly for inference? In this talk I’ll show how recent developments in simulation-based inference have opened up a new paradigm for cosmoparticle data analysis, requiring only the ability to forward simulate your dataset. I’ll showcase some examples of this new framework in action: analysis of tSZ maps, dark matter detection with XENON, analysis of strong lenses, and constraining the post-EoR ionizing background from high-z quasars. I’ll argue that simulation-based inference has the potential to greatly simplify the chain of scientific reasoning, and gets physicists back to doing what they are good at — physics.