Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data processing pipelines are one of most common astronomical software. This kind of programs are chains of processes that transform raw data into valuable information. In this work a Python framework for astronomical pipeline generation is presented. It features a design pattern (Model-View-Controller) on top of a SQL Relational Database capable of handling custom data models, processing stages, and result communication alerts, as ll as producing automatic quality and structural measurements. This pat- tern provides separation of concerns beten the user logic and data models and the processing flow inside the pipeline, delivering for free multi processing and distributed computing capabilities. For the astronomical community this means an improvement on previous data processing pipelines, by avoiding the programmer deal with the processing flow, and parallelization issues, and by making him focusing just in the algorithms involved in the successive data transformations. This software as ll as working examples of pipelines are available to the community at this https URL
['Juan Bautista Cabral', 'Bruno Sánchez', 'Martin Beroiz', 'Mariano J. Domínguez', 'Marcelo Lares', 'Sebastian Gurovich', 'Pablo M. Granitto']
I am writing a research paper on a idea Corral Framework: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines
[{"from": "human", "value": "I am writing a research paper on a idea Corral Framework: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data processing pipelines are one of most common astronomical software. This kind of programs are chains of processes that transform raw data into valuable information. In this work a Python framework for astronomical pipeline generation is presented. It features a design pattern (Model-View-Controller) on top of a SQL Relational Database capable of handling custom data models, processing stages, and result communication alerts, as ll as producing automatic quality and structural measurements. This pat- tern provides separation of concerns beten the user logic and data models and the processing flow inside the pipeline, delivering for free multi processing and distributed computing capabilities. For the astronomical community this means an improvement on previous data processing pipelines, by avoiding the programmer deal with the processing flow, and parallelization issues, and by making him focusing just in the algorithms involved in the successive data transformations. This software as ll as working examples of pipelines are available to the community at this https URL"}]