[Theory-seminars] Seminars next week

[Carlota Andres Casas]

Dear all,

Here is a reminder for next week theory seminars:


Theory seminar:

Monday, January 28th, 1:00PM, Room L102
Boram Yoon (Los Alamos),"Estimation of the Lattice QCD Observables using Machine Learning"


BlueJeans connection: https://bluejeans.com/321085255<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbluejeans.com%2F321085255&data=02%7C01%7C%7Cc7b2ab7abacf4b94807b08d683123bb4%7Cb4d7ee1f4fb34f0690372b5b522042ab%7C1%7C0%7C636840511656911101&sdata=pmVvCudFRPhHktDjmrw%2BsB0KyHVuQN%2Bh68x7N6cSKlU%3D&reserved=0>

Abstract:

I will present a novel technique using machine learning (ML) to reduce the computational cost of evaluating lattice QCD observables. Lattice QCD, a non-perturbative formulation of QCD on a hypercubic Euclidean space-time grid, is solved using Markov chain Monte Carlo simulations. In the lattice QCD simulations, multiple observables are simultaneously measured on a series of Monte-Carlo samples of gluon fields as calculate expectation value, and the fluctuations of these observables over the Monte-Carlo samples are correlated. By exploiting the correlations between observables, one can build a machine learning algorithm that predicts values of a set of observables using the information on other observables. After predictions are made, the bias introduced by the prediction error is corrected and converted to the statistical uncertainty. The approach is demonstrated for two different lattice QCD calculations using the Boosted decision tree (BDT) regression ML algorithm: (1) prediction of the nucleon three-point correlation functions from the two-point correlation functions, and (2) prediction of charge-parity violating (CPV) phase of the neutron state for the quark chromo-electric dipole moment interactions from the regular two-point correlation functions calculated without CPV interactions.
Cake seminar:

Wednesday, January 30th, 1:00PM, Room F326-F327

Fabio Dominguez (University of Santiago de Compostela), "New developments and challenges in the theory of jet quenching in heavy ion collisions"

BlueJeans link: https://bluejeans.com/195615763<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbluejeans.com%2F195615763&data=02%7C01%7C%7Cc7b2ab7abacf4b94807b08d683123bb4%7Cb4d7ee1f4fb34f0690372b5b522042ab%7C1%7C0%7C636840511656911101&sdata=TAiKzeHSZgYNCCX2Yhtz%2BdlCph%2ByRIC1tdg1qAw7xFY%3D&reserved=0>

Abstract:
The creation of a new state of matter, the quark-gluon plasma (QGP), in heavy ion collision experiments has provided new ways of studying the dynamics of strong interactions and gives a unique opportunity to probe the properties of deconfined QCD matter. One of the clearest signatures of the formation of a QGP on a given collision is the suppression of high energy particles and jets (also known as jet quenching), due to the energy loss they experience while traversing the strongly interacting medium. In order to extract information about the properties of the plasma through these measurements, it becomes necessary to have a consistent theory for parton branching in the presence of a medium. In this talk a review of the recent developments in this direction, and the main difficulties encountered along the way, will be given.

Raza, Vincent, Carlota


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