Publications de Sebastian Gerlach

The magnet of the scattering and neutrino detector for the SHiP experiment at CERN

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Mikhail Chapochnikov, Alexey Boyarsky, Federico Leo Redi, Sun Hee Kim, Maria Elena Stramaglia, Inar Timiryasov

The Search for Hidden Particles (SHiP) experiment proposal at CERN demands a dedicated dipole magnet for its scattering and neutrino detector. This requires a very large volume to be uniformly magnetized at B > 1.2 T, with constraints regarding the inner i ...

2020

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Mikhail Chapochnikov, Alexey Boyarsky, Federico Leo Redi, Sun Hee Kim, Maria Elena Stramaglia, Inar Timiryasov

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHIP experiment will be able to search for new long-lived particles produced in a 400 GeV/c SPS proton beam ...

2019

The active muon shield in the SHiP experiment

Aurelio Bay, Lesya Shchutska, Mikhail Chapochnikov, Oleg Ruchayskiy, Elena Graverini, Alexey Boyarsky, Inar Timiryasov, Sun Hee Kim, Federico Leo Redi, Sebastian Gerlach

The SHiP experiment is designed to search for very weakly interacting particles beyond the Standard Model which are produced in a 400 GeV/c proton beam dump at the CERN SPS. An essential task for the experiment is to keep the Standard Model background leve ...

2017

A simulator for adaptive parallel applications

Roger Hersch, Basile Schäli, Sebastian Gerlach

Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify allocation strategies and problem decomposition parameters that increase the ...

2007

A simulator for parallel applications with dynamically varying compute node allocation

Roger Hersch, Basile Schäli, Sebastian Gerlach

Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic efficiency which expresses the resource utilization efficiency as a function of ...

2006

Fault-tolerant dynamic parallel schedules

Sebastian Gerlach

Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers such as clusters of PCs. DPS applications are defined by using directed acyclic flow graphs composed of user-defined operations. ...

EPFL2006