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danielrd6/ifscube: Modeling

Authors: Daniel Ruschel-Dutra; Bruno Dall'Agnol de Oliveira;

danielrd6/ifscube: Modeling

Abstract

This release has major improvements on the modeling of spectral features, with a severe revision of the code. Some issues still remain, and there are some left overs in a few classes. The full transition towards this new structure is planned for version 1.2. Key points: Multiple component fitting is based on replicating kinematic parameters, instead of adding constraints to the minimizer. It is possible to choose the minimization method in the configuration file. Besides the methods available via the scipy.optimize.minimize wrapper, there is also the possibility of using differential_evolution. Constraints are changed appropriately, and the conversion is performed internally.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
6
Top 10%
Average
Top 10%
20
1