Extracting source parameters from Gaussian fits to two-particle correlations

Extracting source parameters from Gaussian fits to two-particle correlations.

Using a quadratic saddle-point approximation, we show how information about a particle-emitting source can be extracted from gaussian fits to twoparticle correlation data. Although the formalism is completely general, extraction of the relevant parameters is much simpler for sources within an interesting class of azimuthally symmetric models. After discussing the standard fitting procedure, we ...

TWO-PARTICLE CORRELATIONS FROM THE q-BOSON VIEWPOINT

We propose and develop to some extent a novel approach, which allows us to effectively describe, for relativistic heavy-ion collisions, the empirically observed deviation from unity of the intercept λ (i.e. the measured value corresponding to zero relative momentum p of two registered identical pions or kaons) of the two-particle correlation function C(p,K). The approach is based on the use of ...

Refractive Distortions of Two-Particle Correlations from Classical Trajectory Calculations

Extracting Information from Qubit-Environment Correlations

Most works on open quantum systems generally focus on the reduced physical system by tracing out the environment degrees of freedom. Here we show that the qubit distributions with the environment are essential for a thorough analysis, and demonstrate that the way that quantum correlations are distributed in a quantum register is constrained by the way in which each subsystem gets correlated wit...

Extracting Posteriors from a Gaussian Mixture Model

The design of a system for extracting posterior distributions from a Gaussian mixture model is presented and its implementation on a FPGA is discussed; the system is intended for eventual integration into a processing pipeline for real-time speaker identification. An existing software implementation of the posterior extraction algorithm, written using the Kaldi speech recognition toolkit, was u...