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Data for: Narrowing the parameter space of collapse models with ultracold layered force sensors

Data for: Narrowing the parameter space of collapse models with ultracold layered force sensors
Data for: Narrowing the parameter space of collapse models with ultracold layered force sensors
This is the data set for the research article in Physical Review Letters with the abstract: Despite the unquestionable empirical success of quantum theory, witnessed by the recent uprising of quantum technologies, the debate on how to reconcile the theory with the macroscopic classical world is still open. Spontaneous collapse models, based on stochastic and nonlinear modifications of the Schroedinger equation, are the only experimentally testable solution so far proposed. Here, we describe a new experiment based on monitoring a high quality factor microcantilever loaded by a layered test mass, specifically designed to test the Continuous Spontaneous Localization (CSL) model. The measurements are in good agreement with pure thermal motion for temperatures down to 100 mK. From the absence of excess noise we infer a new bound on the collapse rate at the characteristic length r_c = 1e−7 m, which improves over previous mechanical experiments by more than one order of magnitude. Our results are explicitly challenging a well-motivated region of the CSL parameter space proposed by Adler.
University of Southampton
Vinante, Andrea
f023d600-0537-41c4-b307-bf9cdfc1f56c
Carlesso, Matteo
2eecbe8d-43f9-4c8b-ac35-ee4abe95efa2
Bassi, Angelo
374a70f7-61f8-4656-bb45-5857695750f1
Chiasera, Andrea
074854dd-b92b-4240-9785-16ef98bbc66d
Varas, Sandro
76180c87-0a93-43b2-9088-4c2457f6c0ed
Falferi, Paolo
54523579-493c-4a94-93c2-5e5c8b2c87a0
Margesin, Basin
2c078f06-7d62-419f-959c-f2259e36289e
Mezzena, Rodolfo
8214b9f8-4f79-4df2-8c93-04b684d24438
Ulbricht, Hendrik
5060dd43-2dc1-47f8-9339-c1a26719527d
Vinante, Andrea
f023d600-0537-41c4-b307-bf9cdfc1f56c
Carlesso, Matteo
2eecbe8d-43f9-4c8b-ac35-ee4abe95efa2
Bassi, Angelo
374a70f7-61f8-4656-bb45-5857695750f1
Chiasera, Andrea
074854dd-b92b-4240-9785-16ef98bbc66d
Varas, Sandro
76180c87-0a93-43b2-9088-4c2457f6c0ed
Falferi, Paolo
54523579-493c-4a94-93c2-5e5c8b2c87a0
Margesin, Basin
2c078f06-7d62-419f-959c-f2259e36289e
Mezzena, Rodolfo
8214b9f8-4f79-4df2-8c93-04b684d24438
Ulbricht, Hendrik
5060dd43-2dc1-47f8-9339-c1a26719527d

Vinante, Andrea, Carlesso, Matteo and Ulbricht, Hendrik (2020) Data for: Narrowing the parameter space of collapse models with ultracold layered force sensors. University of Southampton doi:10.5258/SOTON/D1500 [Dataset]

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Abstract

This is the data set for the research article in Physical Review Letters with the abstract: Despite the unquestionable empirical success of quantum theory, witnessed by the recent uprising of quantum technologies, the debate on how to reconcile the theory with the macroscopic classical world is still open. Spontaneous collapse models, based on stochastic and nonlinear modifications of the Schroedinger equation, are the only experimentally testable solution so far proposed. Here, we describe a new experiment based on monitoring a high quality factor microcantilever loaded by a layered test mass, specifically designed to test the Continuous Spontaneous Localization (CSL) model. The measurements are in good agreement with pure thermal motion for temperatures down to 100 mK. From the absence of excess noise we infer a new bound on the collapse rate at the characteristic length r_c = 1e−7 m, which improves over previous mechanical experiments by more than one order of magnitude. Our results are explicitly challenging a well-motivated region of the CSL parameter space proposed by Adler.

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Published date: 2020

Identifiers

Local EPrints ID: 443096
URI: http://eprints.soton.ac.uk/id/eprint/443096
PURE UUID: 9e734cfb-c404-467c-bf0d-bb43e0a90ef7
ORCID for Andrea Vinante: ORCID iD orcid.org/0000-0002-9385-2127

Catalogue record

Date deposited: 11 Aug 2020 16:30
Last modified: 11 Aug 2020 16:34

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Contributors

Creator: Andrea Vinante ORCID iD
Creator: Matteo Carlesso
Contributor: Angelo Bassi
Contributor: Andrea Chiasera
Contributor: Sandro Varas
Contributor: Paolo Falferi
Contributor: Basin Margesin
Contributor: Rodolfo Mezzena
Creator: Hendrik Ulbricht

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