# 4th Inter-experiment Machine Learning Workshop

Oct 19 – 23, 2020
Europe/Zurich timezone

## Session

### Workshop

Oct 21, 2020, 10:00 AM

### Conveners

#### Workshop: Wednesday morning

• David Rousseau (LAL-Orsay, FR)
• Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))

#### Workshop: Wednesday afternoon

• Gian Michele Innocenti (CERN)
• Simon Akar (University of Cincinnati (US))

#### Workshop: Thursday morning

• Lorenzo Moneta (CERN)

#### Workshop: Thursday afternoon

• David Rousseau (IJCLab-Orsay)
• Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))

#### Workshop: Friday morning

• Andrea Wulzer (CERN and EPFL)

#### Workshop: Friday afternoon

• Riccardo Torre (CERN)

### Presentation materials

There are no materials yet.
Michele Faucci Giannelli (INFN e Universita Roma Tor Vergata (IT))
10/21/20, 11:00 AM
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
Lightning talk

Building on the recent success of deep learning algorithms, Generative Adversarial Networks (GANs) are exploited for modelling the response of the ATLAS detector calorimeter of different particle types; simulating calorimeter showers for photons, electrons and pions over a range of energies (between 256 MeV and 4 TeV) in the full detector $\eta$ range. The properties of showers in...

Artem Maevskiy (National Research University Higher School of Economics (RU))
10/21/20, 11:10 AM
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
Lightning talk

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...

Jessica N. Howard (Department of Physics & Astronomy, UC Irvine) , Jessica Nicole Howard (University of California Irvine (US))
10/23/20, 10:00 AM
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
Regular talk

We introduce a novel strategy for machine-learning-based predictive simulators, which can be trained in an unsupervised manner using observed data samples to learn a predictive model of the detector response and other difficult-to-model transformations. Particle physics detectors cannot directly probe fundamental particle collisions. Instead, statistical inference must be used to surmise...

Mr Maciej Majewski (AGH-UST) , Maciej Witold Majewski (AGH University of Science and Technology (PL))
10/23/20, 10:30 AM
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
Lightning talk

Deep learn physics open dataset contains thousands of frames LARTPC detector data. The main problem of the dataset is semantic segmentation. This problem has been solved succesfully with modified version of U-Net, as well as graph-networks. The main difficulty of this problem lays within the sparcity of data (thin tracks inside pixels, or voxels) which make it difficult to feed classical...

10/23/20, 5:20 PM
Building timetable...