SOUPY Source Apportionment Optimization and Unmixing in Python

Document Structure This integrated document is organized as follows: Part I — Technical Report (Memoria) • General description of the software • Mathematical formulation of the mixing problem • Objective function and uncertainty treatment • Optimization algorithms and computational strategy • Advant...

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Detalles Bibliográficos
Autores: Rovira Yélamos, Néstor, Hassanzadeh Alaiefar, Ashkan, Vázquez-Suñé, Enric
Tipo de recurso: otro
Fecha de publicación:2026
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::2fefd11e89276782db1b97cbbf20e128
Acceso en línea:http://hdl.handle.net/10261/430209
Access Level:acceso abierto
Palabra clave:SOUPY
Python
http://metadata.un.org/sdg/3
http://metadata.un.org/sdg/9
http://metadata.un.org/sdg/12
http://metadata.un.org/sdg/17
Ensure healthy lives and promote well-being for all at all ages
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Ensure sustainable consumption and production patterns
Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development
Descripción
Sumario:Document Structure This integrated document is organized as follows: Part I — Technical Report (Memoria) • General description of the software • Mathematical formulation of the mixing problem • Objective function and uncertainty treatment • Optimization algorithms and computational strategy • Advantages and applications Part II — User Guide • Input data structure and requirements • Output files and interpretation • Model parameters and configuration • Step-by-step instructions for software execution Annex I — Intellectual Property Certificate • Official registration document issued by Vaultinum • Proof of authorship, ownership, and deposit