Tesla: An application for real-time data analysis in High Energy Physics

R. Aaij; S. Amato; L. Anderlini; S. Benson; M. Cattaneo; M. Clemencic; B. Couturier; M. Frank; V. V. Gligorov; T. Head; C. Jones; I. Komarov; O. Lupton; R. Matev; G. Raven; B. Sciascia; T. Skwarnicki; P. Spradlin; S. Stahl; B. Storaci; M. Vesterinen

doi:10.1016/j.cpc.2016.07.022

Tesla: An application for real-time data analysis in High Energy Physics

R. Aaij, S. Amato, L. Anderlini, S. Benson, M. Cattaneo, M. Clemencic, B. Couturier, M. Frank, V. V. Gligorov, T. Head, C. Jones, I. Komarov, O. Lupton, R. Matev, G. Raven, B. Sciascia, T. Skwarnicki, P. Spradlin, S. Stahl, B. StoraciM. Vesterinen

Department of Physics

Research output: Contribution to journal › Article › peer-review

63 Scopus citations

Abstract

Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary. Furthermore, the storage space of the triggered candidate is an order of magnitude smaller than the entire raw event that would otherwise need to be persisted. Tesla is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.

Original language	English (US)
Pages (from-to)	35-42
Number of pages	8
Journal	Computer Physics Communications
Volume	208
DOIs	https://doi.org/10.1016/j.cpc.2016.07.022
State	Published - Nov 1 2016

Keywords

Data acquisition
Data analysis
Particle physics

ASJC Scopus subject areas

Hardware and Architecture
Physics and Astronomy(all)

Access to Document

10.1016/j.cpc.2016.07.022

Cite this

Aaij, R., Amato, S., Anderlini, L., Benson, S., Cattaneo, M., Clemencic, M., Couturier, B., Frank, M., Gligorov, V. V., Head, T., Jones, C., Komarov, I., Lupton, O., Matev, R., Raven, G., Sciascia, B., Skwarnicki, T., Spradlin, P., Stahl, S., ... Vesterinen, M. (2016). Tesla: An application for real-time data analysis in High Energy Physics. Computer Physics Communications, 208, 35-42. https://doi.org/10.1016/j.cpc.2016.07.022

Aaij, R, Amato, S, Anderlini, L, Benson, S, Cattaneo, M, Clemencic, M, Couturier, B, Frank, M, Gligorov, VV, Head, T, Jones, C, Komarov, I, Lupton, O, Matev, R, Raven, G, Sciascia, B, Skwarnicki, T, Spradlin, P, Stahl, S, Storaci, B & Vesterinen, M 2016, 'Tesla: An application for real-time data analysis in High Energy Physics', Computer Physics Communications, vol. 208, pp. 35-42. https://doi.org/10.1016/j.cpc.2016.07.022

@article{8633d629df114082bdea32e5744fa912,

title = "Tesla: An application for real-time data analysis in High Energy Physics",

abstract = "Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary. Furthermore, the storage space of the triggered candidate is an order of magnitude smaller than the entire raw event that would otherwise need to be persisted. Tesla is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.",

keywords = "Data acquisition, Data analysis, Particle physics",

author = "R. Aaij and S. Amato and L. Anderlini and S. Benson and M. Cattaneo and M. Clemencic and B. Couturier and M. Frank and Gligorov, {V. V.} and T. Head and C. Jones and I. Komarov and O. Lupton and R. Matev and G. Raven and B. Sciascia and T. Skwarnicki and P. Spradlin and S. Stahl and B. Storaci and M. Vesterinen",

note = "Funding Information: We thank the technical and administrative staff at the LHCb institutes. We acknowledge support from CERN and from the national agencies: CAPES , CNPq , FAPERJ and FINEP (Brazil); CNRS/IN2P3 (France); BMBF , DFG and MPG (Germany); INFN (Italy); FOM and NWO (The Netherlands); SNSF and SER (Switzerland); STFC (United Kingdom). We acknowledge the computing resources that are provided by CERN, IN2P3 (France), KIT and DESY (Germany), INFN (Italy), SURF (The Netherlands), PIC (Spain), GridPP (United Kingdom), RRCKI and Yandex LLC (Russia), CSCS (Switzerland), IFIN-HH (Romania), CBPF (Brazil), PL-GRID (Poland) and OSC (USA). We are indebted to the communities behind the multiple open source software packages on which we depend. Publisher Copyright: {\textcopyright} 2016",

year = "2016",

month = nov,

day = "1",

doi = "10.1016/j.cpc.2016.07.022",

language = "English (US)",

volume = "208",

pages = "35--42",

journal = "Computer Physics Communications",

issn = "0010-4655",

publisher = "Elsevier",

}

TY - JOUR

T1 - Tesla

T2 - An application for real-time data analysis in High Energy Physics

AU - Aaij, R.

AU - Amato, S.

AU - Anderlini, L.

AU - Benson, S.

AU - Cattaneo, M.

AU - Clemencic, M.

AU - Couturier, B.

AU - Frank, M.

AU - Gligorov, V. V.

AU - Head, T.

AU - Jones, C.

AU - Komarov, I.

AU - Lupton, O.

AU - Matev, R.

AU - Raven, G.

AU - Sciascia, B.

AU - Skwarnicki, T.

AU - Spradlin, P.

AU - Stahl, S.

AU - Storaci, B.

AU - Vesterinen, M.

N1 - Funding Information: We thank the technical and administrative staff at the LHCb institutes. We acknowledge support from CERN and from the national agencies: CAPES , CNPq , FAPERJ and FINEP (Brazil); CNRS/IN2P3 (France); BMBF , DFG and MPG (Germany); INFN (Italy); FOM and NWO (The Netherlands); SNSF and SER (Switzerland); STFC (United Kingdom). We acknowledge the computing resources that are provided by CERN, IN2P3 (France), KIT and DESY (Germany), INFN (Italy), SURF (The Netherlands), PIC (Spain), GridPP (United Kingdom), RRCKI and Yandex LLC (Russia), CSCS (Switzerland), IFIN-HH (Romania), CBPF (Brazil), PL-GRID (Poland) and OSC (USA). We are indebted to the communities behind the multiple open source software packages on which we depend. Publisher Copyright: © 2016

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary. Furthermore, the storage space of the triggered candidate is an order of magnitude smaller than the entire raw event that would otherwise need to be persisted. Tesla is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.

AB - Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary. Furthermore, the storage space of the triggered candidate is an order of magnitude smaller than the entire raw event that would otherwise need to be persisted. Tesla is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.

KW - Data acquisition

KW - Data analysis

KW - Particle physics

UR - http://www.scopus.com/inward/record.url?scp=84991199405&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84991199405&partnerID=8YFLogxK

U2 - 10.1016/j.cpc.2016.07.022

DO - 10.1016/j.cpc.2016.07.022

M3 - Article

AN - SCOPUS:84991199405

SN - 0010-4655

VL - 208

SP - 35

EP - 42

JO - Computer Physics Communications

JF - Computer Physics Communications

ER -

Tesla: An application for real-time data analysis in High Energy Physics

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this