Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experiment
The Mu3e experiment searches for the lepton flavour violating decay μ+ → e+e−e+, aiming to achieve a sensitivity of 2 · 10−15 in its first phase and ultimately aspiring to a final sensitivity of 10−16. During the first phase of the experiment, a muon rate of ∼ 108 μ/s will be available, resulting in...
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Online Access: | https://doi.org/10.1051/epjconf/201715000013 |
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doaj-ef4886f044314abebf9e7165d4dc8a212021-08-02T17:31:29ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011500001310.1051/epjconf/201715000013epjconf_ctdw2017_00013Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experimentvom Bruch Dorothea0Institut für KernphysikThe Mu3e experiment searches for the lepton flavour violating decay μ+ → e+e−e+, aiming to achieve a sensitivity of 2 · 10−15 in its first phase and ultimately aspiring to a final sensitivity of 10−16. During the first phase of the experiment, a muon rate of ∼ 108 μ/s will be available, resulting in a data rate of ∼ 80 Gbit/s. The trigger-less readout system is based on optical links and switching FPGAs sending the complete detector data for a time slice to one node of the filter farm. A full online reconstruction is necessary to reduce the data rate to a manageable amount to be written to disk. Graphics processing units (GPUs) are used to fit tracks with a non-iterative 3D tracking algorithm for multiple scattering dominated resolution. In addition, a three track vertex selection is performed by calculating the vertex position from the intersections of the tracks. Together with kinematic cuts, this allows for a reduction of the output data rate to below 100MB/s using 12 DAQ PCs.https://doi.org/10.1051/epjconf/201715000013 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
vom Bruch Dorothea |
spellingShingle |
vom Bruch Dorothea Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experiment EPJ Web of Conferences |
author_facet |
vom Bruch Dorothea |
author_sort |
vom Bruch Dorothea |
title |
Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experiment |
title_short |
Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experiment |
title_full |
Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experiment |
title_fullStr |
Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experiment |
title_full_unstemmed |
Online Data Reduction using Track and Vertex Reconstruction on GPUs for the Mu3e Experiment |
title_sort |
online data reduction using track and vertex reconstruction on gpus for the mu3e experiment |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2017-01-01 |
description |
The Mu3e experiment searches for the lepton flavour violating decay μ+ → e+e−e+, aiming to achieve a sensitivity of 2 · 10−15 in its first phase and ultimately aspiring to a final sensitivity of 10−16. During the first phase of the experiment, a muon rate of ∼ 108 μ/s will be available, resulting in a data rate of ∼ 80 Gbit/s. The trigger-less readout system is based on optical links and switching FPGAs sending the complete detector data for a time slice to one node of the filter farm. A full online reconstruction is necessary to reduce the data rate to a manageable amount to be written to disk. Graphics processing units (GPUs) are used to fit tracks with a non-iterative 3D tracking algorithm for multiple scattering dominated resolution. In addition, a three track vertex selection is performed by calculating the vertex position from the intersections of the tracks. Together with kinematic cuts, this allows for a reduction of the output data rate to below 100MB/s using 12 DAQ PCs. |
url |
https://doi.org/10.1051/epjconf/201715000013 |
work_keys_str_mv |
AT vombruchdorothea onlinedatareductionusingtrackandvertexreconstructionongpusforthemu3eexperiment |
_version_ |
1721229081224151040 |