A Novel Approach to Parameter Determination of the Continuous Spontaneous Localization Collapse Model

oleh: Kristian Piscicchia, Alessio Porcelli, Angelo Bassi, Massimiliano Bazzi, Mario Bragadireanu, Michael Cargnelli, Alberto Clozza, Luca De Paolis, Raffaele Del Grande, Maaneli Derakhshani, Diósi Lajos, Sandro Donadi, Carlo Guaraldo, Mihai Iliescu, Matthias Laubenstein, Simone Manti, Johann Marton, Marco Miliucci, Fabrizio Napolitano, Alessandro Scordo, Francesco Sgaramella, Diana Laura Sirghi, Florin Sirghi, Oton Vazquez Doce, Johann Zmeskal, Catalina Curceanu

Format: Article
Diterbitkan: MDPI AG 2023-02-01

Deskripsi

Models of dynamical wave function collapse consistently describe the breakdown of the quantum superposition with the growing mass of the system by introducing non-linear and stochastic modifications to the standard Schrödinger dynamics. Among them, Continuous Spontaneous Localization (CSL) was extensively investigated both theoretically and experimentally. Measurable consequences of the collapse phenomenon depend on different combinations of the phenomenological parameters of the model—the strength <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>λ</mi></semantics></math></inline-formula> and the correlation length <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>r</mi><mi>C</mi></msub></semantics></math></inline-formula>—and have led, so far, to the exclusion of regions of the admissible (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>λ</mi><mo>−</mo><msub><mi>r</mi><mi>C</mi></msub></mrow></semantics></math></inline-formula>) parameters space. We developed a novel approach to disentangle the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>λ</mi></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>r</mi><mi>C</mi></msub></semantics></math></inline-formula> probability density functions, which discloses a more profound statistical insight.