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Publication

Data and code associated with the paper 'Mode-Specific Coupling of Nanoparticle-on-Mirror Cavities with Cylindrical Vector Beams'

Christophe Marcel Georges Galland, Sachin Suresh Verlekar, Valeria Vento, Philippe Andreas Rölli
2023
Datasets

Abstract

Data and code associated with the following paper: V. Vento et al, Nano Lett. 2023 A thorough explanation of the experiment performed is available there. The name of each sub-folder and file in Maps_data_code.zip indicates the corresponding figure number ("FIG #") and the type of content ("raw_data", "data", "plot", "analysis", "calculation", "simulation"). The Raman maps data are analyzed through the script Raman_maps_analysis.m. The photoluminescence maps data in the supplementary information are analyzed through the script PL_maps_analysis.m. Used softwares: Matlab R2021a, Python 3.9, Comsol Multiphysics 5.6

Official source

https://infoscience.epfl.ch/entities/publication/c794bbda-e05f-4c6d-a12a-0d82326cfd5b

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Christophe Marcel Georges Galland, Sachin Suresh Verlekar, Valeria Vento, Philippe Andreas Rölli
2023
Datasets

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/c794bbda-e05f-4c6d-a12a-0d82326cfd5b

About this result

Related concepts (10)

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data analysis

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

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