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, Alexey Boyarsky, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Inar Timiryasov, Jean-Loup Tastet, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

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, Alexey Boyarsky, Alexandre Emmanuel Grandchamp, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Jean-Loup Tastet, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

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 ...

IOP PUBLISHING LTD2019

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

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Alexey Boyarsky, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Inar Timiryasov, Jean-Loup Tastet, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

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 be ...

2019

The active muon shield in the SHiP experiment

Lesya Shchutska, Aurelio Bay, Elena Graverini, Alexey Boyarsky, Sun Hee Kim, Federico Leo Redi, Oleg Ruchayskiy, Sebastian Gerlach, Inar Timiryasov, Ekaterina Kuznetsova, Hans Dijkstra, Sergei Smirnov

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, 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

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

Fault-tolerant parallel applications with dynamic parallel schedules: a programmer's perspective

Roger Hersch, Sebastian Gerlach

Dynamic parallel schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automatic pipelined parallel execution of applications. DPS supports graceful degr ...

Sptinger-Verlag2006

A simulator for parallel applications with dynamically varying compute node allocation

Roger Hersch, 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 parallel applications with dynamic parallel schedules

Roger Hersch, Sebastian Gerlach

Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-the-shelf systems are not designed for high reliability. Node failures therefore drive the MTBF of such clusters to unacceptable levels. The software framewo ...

Institute of Electrical and Electronics Engineers Computer Society, Piscataway, NJ 08855-1331, United States2005

DPS - Dynamic Parallel Schedules

Roger Hersch, Sebastian Gerlach

Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers (e.g. clusters of PC). Its model relies on compositional customizable split-compute-merge graphs of operations (directed acyclic ...

IEEE Press2003

Sebastian Gerlach

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

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

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

The active muon shield in the SHiP experiment

A simulator for adaptive parallel applications

Fault-tolerant dynamic parallel schedules

Fault-tolerant parallel applications with dynamic parallel schedules: a programmer's perspective

A simulator for parallel applications with dynamically varying compute node allocation

Fault-tolerant parallel applications with dynamic parallel schedules

DPS - Dynamic Parallel Schedules

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

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

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

A simulator for adaptive parallel applications

Fault-tolerant parallel applications with dynamic parallel schedules: a programmer's perspective

The active muon shield in the SHiP experiment

Fault-tolerant dynamic parallel schedules

Fault-tolerant parallel applications with dynamic parallel schedules

A simulator for parallel applications with dynamically varying compute node allocation

DPS - Dynamic Parallel Schedules