[Theory-seminars] Theory seminar next Monday: Anja Butter

[Astrid Hiller Blin]

Dear all,

Next Monday, Anja Butter will be giving a theory seminar, see the details
below.
Bluejeans connection: https://bluejeans.com/801786278
<https://urldefense.proofpoint.com/v2/url?u=https-3A__bluejeans.com_801786278&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=AIMSQQ81YDyrZuJNGks2qw&m=aT_3J5jjiFmHtFXffqbfPqEY_A73NEWw2ebyFyL_eCA&s=YNm3qgT5e8sJgKfZ9vFA_w--imuXwmeAjg0C4AslLwg&e=>

*Theory seminar*
Monday, April 19th, 1:00 PM (ET)

*Anja Butter* (University of Heidelberg) will talk about "Simulating and
unfolding LHC events with generative networks".

*Abstract:*

Over the next years, measurements at the LHC and the HL-LHC will provide us
with a wealth of data. The best hope of answering fundamental questions
like the nature of dark matter is to adopt big data techniques in analyses
and simulations to extract all relevant information. At the analysis level,
machine learning methods have already shown impressive performance boosts
in many areas like top tagging, jet calibration or particle identification.
On the theory side, LHC physics crucially relies on our ability to simulate
events efficiently from first principles. In the coming LHC runs, these
simulations will face unprecedented precision requirements to match the
experimental accuracy. Innovative ML techniques like generative models can
help us overcome limitations from the high dimensionality of the parameter
space. Such networks can be employed within established simulation tools or
as part of a new framework. Since neural networks can be inverted, they
also open new avenues in LHC analyses.

We look forward to seeing you at the seminar!
Astrid, Christos, Filippo
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