A statistical method expresses pair correlations as ensemble averages over single-particle-conditioned kernels, enabling event-by-event reconstruction of rare-particle emission sources, demonstrated on simulated J/ψ data with 13% uncertainty.
Solving the Inverse Source Problem in Femtoscopy with a Toy Model
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abstract
Hadron-hadron interactions, as a non-perturbative effect, play a significant role in understanding phenomenological problems in particle physics. Femtoscopy is a powerful tool in heavy-ion collision experiments, enabling the extraction of hadron-hadron interactions via momentum-correlation functions (CFs). These CFs are generally factorized into a convolution of source functions and hadron-hadron wave functions, with the latter encoding information about hadron-hadron interactions. However, source functions remain ambiguous and are commonly approximated by a Gaussian form. Reconstructing source functions from experimental correlation data constitutes an ``inverse problem." To address it, we propose a toy model based on the Tikhonov regularization. Employing a square potential well of four distinct potential strengths, we calculate the CFs for inputs of a Gaussian source function and its hybrid form. The obtained CFs are subsequently used to reconstruct the source functions via the Tikhonov regularization. Our results demonstrate that the Gaussian source function can be successfully reconstructed, indicating the potential of this approach for extracting realistic source functions of hadron pairs of interest in the future.
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Reconstructing rare particle source by femtoscopic correlations
A statistical method expresses pair correlations as ensemble averages over single-particle-conditioned kernels, enabling event-by-event reconstruction of rare-particle emission sources, demonstrated on simulated J/ψ data with 13% uncertainty.