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Mars-GRAM validation studies used density ratio (TES/Mars-GRAM) evaluated at data bin center points in space and time.
We can use the group_counts function after subtracting the background to specify that at least one count should be contained in each data bin.
The function group_counts requires a 'num' value to indicate the minimum number of counts to be included in each data bin.
Systematic errors are added in quadrature with statistical errors (if specified) to produce an overall error estimate in each data bin.
Statistical errors are added in quadrature with systematic errors (if specified) to produce an overall error estimate in each data bin.
The projected star density for stars brighter than MV = -5.0 in both objects increases inwards to the last data bin in both objects at r = 0.033 pc with a power-law of slope close to -1.8.
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A data binning strategy useful for future studies is also reported.
Using a model we simulate leaf assemblage isotope patterns from canopy data binned by elevation.
The method does not rely on complicated forms of tessellation, it only requires simple data binning for fast range searching.
It generates an 'extraction', a histogram of the data binned on any one column in the table.
Each bin contains data binned according to percentile, with each point corresponding to the [0 5%], [5 10%], [10 15%], …, [90 95%], [95 100%] of the value difference amplitudes.
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