CMS Monte Carlo production operations in a distributed computing environment

A. Mohapatra; C. Lazaridis; J. M. Hernández; J. Caballero; C. Hof; S. Kalinin; A. Flossdorf; M. Abbrescia; N. De Filippis; G. Donvito; G. Maggi; S. My; A. Pompili; S. Sarkar; J. Maes; P. Van Mulders; I. Villella; S. De Weirdt; G. Hammad; S. Wakefield; W. Guan; J. A.S. Lajas; P. Kreuzer; A. Khomich; P. Elmer; D. Evans; A. Fanfani; W. Bacchi; G. Codispoti; F. Van Lingen; C. Kavka; G. Eulisse

doi:10.1016/j.nuclphysbps.2007.11.147

CMS Monte Carlo production operations in a distributed computing environment

A. Mohapatra, C. Lazaridis, J. M. Hernández, J. Caballero, C. Hof, S. Kalinin, A. Flossdorf, M. Abbrescia, N. De Filippis, G. Donvito, G. Maggi, S. My, A. Pompili, S. Sarkar, J. Maes, P. Van Mulders, I. Villella, S. De Weirdt, G. Hammad, S. WakefieldW. Guan, J. A.S. Lajas, P. Kreuzer, A. Khomich, P. Elmer, D. Evans, A. Fanfani, W. Bacchi, G. Codispoti, F. Van Lingen, C. Kavka, G. Eulisse

Physics

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

Abstract

Monte Carlo production for the CMS experiment is carried out in a distributed computing environment; the goal of producing 30M simulated events per month in the first half of 2007 has been reached. A brief overview of the production operations and statistics is presented.

Original language	English (US)
Pages (from-to)	324-325
Number of pages	2
Journal	Nuclear Physics B - Proceedings Supplements
Volume	177-178
Issue number	1
DOIs	https://doi.org/10.1016/j.nuclphysbps.2007.11.147
State	Published - Mar 2008

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Nuclear and High Energy Physics

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10.1016/j.nuclphysbps.2007.11.147

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Mohapatra, A., Lazaridis, C., Hernández, J. M., Caballero, J., Hof, C., Kalinin, S., Flossdorf, A., Abbrescia, M., De Filippis, N., Donvito, G., Maggi, G., My, S., Pompili, A., Sarkar, S., Maes, J., Van Mulders, P., Villella, I., De Weirdt, S., Hammad, G., ... Eulisse, G. (2008). CMS Monte Carlo production operations in a distributed computing environment. Nuclear Physics B - Proceedings Supplements, 177-178(1), 324-325. https://doi.org/10.1016/j.nuclphysbps.2007.11.147

@article{f9c5b86b15ae45ef940222ea91fc9bd2,

title = "CMS Monte Carlo production operations in a distributed computing environment",

abstract = "Monte Carlo production for the CMS experiment is carried out in a distributed computing environment; the goal of producing 30M simulated events per month in the first half of 2007 has been reached. A brief overview of the production operations and statistics is presented.",

author = "A. Mohapatra and C. Lazaridis and Hern{\'a}ndez, {J. M.} and J. Caballero and C. Hof and S. Kalinin and A. Flossdorf and M. Abbrescia and {De Filippis}, N. and G. Donvito and G. Maggi and S. My and A. Pompili and S. Sarkar and J. Maes and {Van Mulders}, P. and I. Villella and {De Weirdt}, S. and G. Hammad and S. Wakefield and W. Guan and Lajas, {J. A.S.} and P. Kreuzer and A. Khomich and P. Elmer and D. Evans and A. Fanfani and W. Bacchi and G. Codispoti and {Van Lingen}, F. and C. Kavka and G. Eulisse",

year = "2008",

month = mar,

doi = "10.1016/j.nuclphysbps.2007.11.147",

language = "English (US)",

volume = "177-178",

pages = "324--325",

journal = "Nuclear Physics B - Proceedings Supplements",

issn = "0920-5632",

publisher = "Elsevier B.V.",

number = "1",

}

Mohapatra, A, Lazaridis, C, Hernández, JM, Caballero, J, Hof, C, Kalinin, S, Flossdorf, A, Abbrescia, M, De Filippis, N, Donvito, G, Maggi, G, My, S, Pompili, A, Sarkar, S, Maes, J, Van Mulders, P, Villella, I, De Weirdt, S, Hammad, G, Wakefield, S, Guan, W, Lajas, JAS, Kreuzer, P, Khomich, A, Elmer, P, Evans, D, Fanfani, A, Bacchi, W, Codispoti, G, Van Lingen, F, Kavka, C & Eulisse, G 2008, 'CMS Monte Carlo production operations in a distributed computing environment', Nuclear Physics B - Proceedings Supplements, vol. 177-178, no. 1, pp. 324-325. https://doi.org/10.1016/j.nuclphysbps.2007.11.147

TY - JOUR

T1 - CMS Monte Carlo production operations in a distributed computing environment

AU - Mohapatra, A.

AU - Lazaridis, C.

AU - Hernández, J. M.

AU - Caballero, J.

AU - Hof, C.

AU - Kalinin, S.

AU - Flossdorf, A.

AU - Abbrescia, M.

AU - De Filippis, N.

AU - Donvito, G.

AU - Maggi, G.

AU - My, S.

AU - Pompili, A.

AU - Sarkar, S.

AU - Maes, J.

AU - Van Mulders, P.

AU - Villella, I.

AU - De Weirdt, S.

AU - Hammad, G.

AU - Wakefield, S.

AU - Guan, W.

AU - Lajas, J. A.S.

AU - Kreuzer, P.

AU - Khomich, A.

AU - Elmer, P.

AU - Evans, D.

AU - Fanfani, A.

AU - Bacchi, W.

AU - Codispoti, G.

AU - Van Lingen, F.

AU - Kavka, C.

AU - Eulisse, G.

PY - 2008/3

Y1 - 2008/3

N2 - Monte Carlo production for the CMS experiment is carried out in a distributed computing environment; the goal of producing 30M simulated events per month in the first half of 2007 has been reached. A brief overview of the production operations and statistics is presented.

AB - Monte Carlo production for the CMS experiment is carried out in a distributed computing environment; the goal of producing 30M simulated events per month in the first half of 2007 has been reached. A brief overview of the production operations and statistics is presented.

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EP - 325

JO - Nuclear Physics B - Proceedings Supplements

JF - Nuclear Physics B - Proceedings Supplements

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ER -

CMS Monte Carlo production operations in a distributed computing environment

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