Peak pattern atlas

The forest and the trees

Given our ability to generate theoretical XRF spectra we can now build an atlas of spectral peak patterns for different chemical elements. In the following we will ignore the exotic Lanthanides and Actinides and further limit our attention to what I call the Elements Of Interest. To plot the periodic table instantiate the PeriodicTable class and run the .plot() method. The edges of pre-selected elements of interest (to me) are colored red. For interactive plotting we will need to import the holoviews package and activate the 'bokeh' extension.

from moseley import PeriodicTable, PeakPatternAtlas
import holoviews as hv

hv.extension('bokeh')

ⓘ

table = PeriodicTable()
table.plot_table();

We are now in a position to compute our atlas of elemental XRF peak patterns for elements of interest. This will take some 15 seconds.

ppa = PeakPatternAtlas()

Ready building Peak Pattern Atlas!                                   

We can now use the .plot_atlas() method to create an interactive holoviews plot.

atlas = ppa.plot_atlas()
atlas

FUNCTIONS

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PeriodicTable

def PeriodicTable(
    EOI:NoneType=None
):

Create a periodic table of elements.

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colorize

def colorize(
    ptable_regular
):

Generate regular element colors dictionary.

Returns: element_colors_dict

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PeakPatternAtlas

def PeakPatternAtlas(
    EOI:NoneType=None, excitation_energy_keV:int=25, h_mm:float=0.001, x_keVs:NoneType=None, verbose:bool=True,
    order:str='alpha'
):

Create a PeakPatternAtlas instance.