
Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent layers, and more. There are forward modeling functions for basic geometric shapes, like spheres, prisms, polygonal prisms, and tesseroids. The inversion methods are implemented as classes with an interface inspired by scikit-learn (like Verde). Documentation: https://www.fatiando.org/harmonica Source code: https://github.com/fatiando/harmonica Part of the Fatiando a Terra project. Note: Authors are listed in alphabetical order by last name.
| 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). | 4 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
