[Theory-seminars] First 2021 theory seminar next Monday

[Astrid Hiller Blin]

Dear all,

First of all, we wish everyone a happy new year, and hope that 2021 will
treat you better than last year.

Next Monday, we will have this year's first theory seminar. You can find
the information below. We are looking forward to seeing you there!

*Theory seminar*
Monday, January 11th, 1:00 PM

*Patrick Komiske* (MIT) will talk about "Simultaneously Unfolding All
Observables with Deep Learning".

*Abstract:*

Unfolding is the procedure by which the "recorded" detector-level
distribution of an observable is corrected for detector effects and other
sources of noise to obtain the "true" particle-level distribution. It is a
ubiquitous step in the measurement of particle physics quantities, but many
procedures in common use suffer acutely from the curse of dimensionality
when trying to unfold multi-differential distributions due to their
explicit reliance on histograms. In this talk, I will discuss a method,
OmniFold, that uses deep learning to take advantage of the full phase-space
information at both detector and truth levels to find the maximum
likelihood solution to the unfolding problem. OmniFold learns a universal
weighting of truth events such that the distribution of any observable can
be calculated. The method is demonstrated on simulated Z+jet events at the
LHC using the Pythia and Herwig event generators and the Delphes detector
package. It is compared to Iterated Bayesian Unfolding, the maximum likelihood
solution restricted to histograms, on a variety of jet substructure
observables, showing equal or improved robustness in all cases. Prospects
and challenges for improving future measurements at colliders like the LHC
and EIC will be discussed.

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=>

Best regards,
Astrid, Christos, Filippo
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