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Extracting source parameters from gaussian fits to two-particle correlations

机译:从高斯拟合中提取源参数以拟合两个粒子的相关性

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摘要

By using a general quadratic saddle-point approximation, we develop a model-independent formalism for extracting information about azimuthally symmetric sources from gaussian fits to two-particle correlation data. To use this technique, the average energy of the particle pair in the measurement frame must be less than some upper limit, which for heavy-ion collisions at the AGS or SPS is about 560 MeV. In addition to discussing the standard fitting procedure, we introduce a new gaussian fitting procedure which is an azimuthally symmetric generalization of the Yano-Koonin formalism for spherically symmetric sources. This new fitting procedure has the advantage that in addition to being able to measure source parameters in a fixed frame or the LCMS, it can also measure these parameters in the local rest frame of the source.
机译:通过使用一般的二次鞍点逼近,我们开发了一种独立于模型的形式,用于从高斯拟合到两粒子相关数据中提取关于方位对称源的信息。要使用此技术,测量框架中粒子对的平均能量必须小于某个上限,对于AGS或SPS上的重离子碰撞,这大约为560 MeV。除了讨论标准拟合过程外,我们还介绍了一种新的高斯拟合过程,该过程是Yano-Koonin形式主义对球对称源的方位角对称概括。这种新的拟合过程的优势在于,除了能够在固定帧或LCMS中测量源参数之外,它还可以在源的本地静止帧中测量这些参数。

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