The python Emission Localization and Quantification (pyELQ) code aims to maximize effective use of existing measurement data, especially from continuous monitoring solutions. The code has been developed to detect, localize, and quantify methane emissions from concentration and wind measurements.
Settings for the step size in the reversible jump sampler are currently hard coded and cannot easily be changed/set by the user without either changing the hardcoded numbers or force changing after the object is created.
Value should be set though user settable properties with defaults of the current hardcoded values.
https://github.com/sede-open/pyELQ/blob/cfe5763f2b574f3e64042913d501ac38da8e5ce3/src/pyelq/component/source_model.py#L781C30-L781C46
Settings for the step size in the reversible jump sampler are currently hard coded and cannot easily be changed/set by the user without either changing the hardcoded numbers or force changing after the object is created.
Value should be set though user settable properties with defaults of the current hardcoded values.