Extract Signals by Fitting $χ^2$ Distribution of the Kinematic Fit

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dc.creatorRong-Gang, Ping
dc.creatorXiao-Hu, Mo
dc.creatorShu-Xian, Du
dc.creatorJing, Liu
dc.creatorLian-Liang, Ma
dc.creatorCheng-Ping, Shen
dc.creatorZhi-Yong, Wang
dc.creatorChang-Zheng, Yuan
dc.date2006-08-22
dc.date.accessioned2026-07-07T07:25:52Z
dc.date.available2026-07-07T07:25:52Z
dc.descriptionIn measuring the $\psip$ radiative decays at BESII, contribution of the background is serious in most of the final states. To extract the number of signal events, a fit to the $χ^2$ distribution of kinematic fit using signal and background components is proposed. Extensive Monte-Carlo simulations (MCS) are performed, and the results show that the shape of $χ^2$ distribution of the signal channel looks different from those of the background channels, thus it provides us by fitting the $χ^2$ distribution of the data to extract the number of signal events. An input-output test is performed using MCS, and the uncertainty of the fit method is found to be less than 2%.
dc.description3 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/physics/0608213
dc.identifierhttp://arxiv.org/abs/physics/0608213
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116875
dc.subjectData Analysis, Statistics and Probability
dc.titleExtract Signals by Fitting $χ^2$ Distribution of the Kinematic Fit
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