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[ascl:2301.026] MGwave: Detect kinematic moving groups in astronomical data

The 2-D wavelet transformation code MGwave detects kinematic moving groups in astronomical data; it can also investigate underdensities which can eventually provide further information about the MW's non-axisymmetric features. The code creates a histogram of the input data, then performs the wavelet transformation at the specified scales, returning the wavelet coefficients across the entire histogram in addition to information about the detected extrema. MGwave can also run Monte Carlo simulations to propagate uncertainties. It runs the wavelet transformation on simulated data (pulled from Gaussian distributions) many times and tracks the percentage of the simulations in which a given extrema is detected. This quantifies whether a detected overdensity or underdensity is robust to variations of the data within the provided errors.

Code site:
https://github.com/DOnghiaGroup/MGwave
Described in:
https://ui.adsabs.harvard.edu/abs/2023MNRAS.519..432L
Bibcode:
2023ascl.soft01026L

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ascl:2301.026
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