Oct 19 – 23, 2020
Europe/Zurich timezone

Fast simulation of Time Projection Chamber response at MPD using GANs

Oct 21, 2020, 11:10 AM
5m
Lightning talk 3 ML for simulation and surrogate model : Application of Machine Learning to simulation or other cases where it is deemed to replace an existing complex model Workshop

Speaker

Artem Maevskiy (National Research University Higher School of Economics (RU))

Description

NICA accelerator complex is currently being assembled in JINR (Dubna) to perform studies of heavy-ion collisions and explore new regions of the QCD phase diagram. Located at one of the two interaction points of the facility, the Multi-Purpose Detector (MPD) will utilize the Time-Projection Chamber (TPC) as the main tracker of the detector’s central barrel. TPC consists of a gas-filled detection volume in a uniform electric field with a 2D position-sensitive electron collection system. Combining the 2D position information with the drift time information, TPC allows to reconstruct the 3D coordinate of the original electron clusters and hence measure the charged particle’s trajectory.

Accurately simulating TPC is computationally heavy. A typical heavy-ion collision event is expected to take about 25 seconds to simulate with the available resources. In this work we propose a fast-simulation model based on a Generative Adversarial Network (GAN) to generate raw TPC signals. Preliminary studies show that our model can produce high-fidelity results in under one second per collision.

Primary authors

Artem Maevskiy (National Research University Higher School of Economics (RU)) Fedor Ratnikov (Yandex School of Data Analysis (RU))

Co-author

Alexander Zinchenko (Joint Institute for Nuclear Research (RU))

Presentation materials