WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variables

In this paper, we present two programs to fit M_W at LEP2 using the best measurable kinematical variables. The theoretical probabilities of observing the final-state kinematical configurations are computed by integrating over the quantities that are not well measured. Therefore, an event-by-event ki...

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Detalles Bibliográficos
Autores principales: Berends, Frits A., Papadopoulos, C.G., Pittau, R.
Lenguaje:eng
Publicado: 1998
Materias:
Particle Physics - Phenomenology
Acceso en línea:https://dx.doi.org/10.1016/S0010-4655(98)00104-0
http://cds.cern.ch/record/359965
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author Berends, Frits A.
Papadopoulos, C.G.
Pittau, R.
author_facet Berends, Frits A.
Papadopoulos, C.G.
Pittau, R.
author_sort Berends, Frits A.
collection CERN
description In this paper, we present two programs to fit M_W at LEP2 using the best measurable kinematical variables. The theoretical probabilities of observing the final-state kinematical configurations are computed by integrating over the quantities that are not well measured. Therefore, an event-by-event kinematical reconstruction is avoided. M_W is then determined through a maximum likelihood fit.
id cern-359965
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1998
record_format invenio
spelling cern-3599652023-03-14T18:50:00Zdoi:10.1016/S0010-4655(98)00104-0http://cds.cern.ch/record/359965engBerends, Frits A.Papadopoulos, C.G.Pittau, R.WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variablesParticle Physics - PhenomenologyIn this paper, we present two programs to fit M_W at LEP2 using the best measurable kinematical variables. The theoretical probabilities of observing the final-state kinematical configurations are computed by integrating over the quantities that are not well measured. Therefore, an event-by-event kinematical reconstruction is avoided. M_W is then determined through a maximum likelihood fit.In this paper, we present two programs to fit M_W at LEP2 using the best measurable kinematical variables. The theoretical probabilities of observing the final-state kinematical configurations are computed by integrating over the quantities that are not well measured. Therefore, an event-by-event kinematical reconstruction is avoided. M_W is then determined through a maximum likelihood fit.hep-ph/9807381CERN-TH-98-221DEMO-HEP-98-02CERN-TH-98-221DEMO-HEP-98-02-Aoai:cds.cern.ch:3599651998-07-16
spellingShingle Particle Physics - Phenomenology
Berends, Frits A.
Papadopoulos, C.G.
Pittau, R.
WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variables
title WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variables
title_full WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variables
title_fullStr WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variables
title_full_unstemmed WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variables
title_short WEXTER and ERAFITTER: two programs to fit $M_{W}$ at LEP2 using the best measurable kinematical variables
title_sort wexter and erafitter: two programs to fit $m_{w}$ at lep2 using the best measurable kinematical variables
topic Particle Physics - Phenomenology
url https://dx.doi.org/10.1016/S0010-4655(98)00104-0
http://cds.cern.ch/record/359965
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AT papadopouloscg wexteranderafittertwoprogramstofitmwatlep2usingthebestmeasurablekinematicalvariables
AT pittaur wexteranderafittertwoprogramstofitmwatlep2usingthebestmeasurablekinematicalvariables

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