Top Tweets for #mcxlab
Check out the github version of #mcxlab - one can now define arbitrary launch angle distribution for any source (point or area)!
you can even choose to create continuous or discrete angles from the user-defined distribution (inv(CDF(theta/pi)))
example:
https://t.co/zYckdAOqem

I am officially a fan of @GoogleColab and @ProjectJupyter Notebooks!
Just figured out how to run @GnuOctave commands in Colab with %%octave.
Such a great platform for writing Octave/@MATLAB tutorials! even has GPU support!
checkout this #mcxlab tutorial
https://t.co/9LhGn1WBEK
Official MCX python binding #pymcx has been merged on github, thanks to our talented PhD student @matinraayai
https://t.co/iLHFzhAYJA
Everything is in-memory, just like #mcxlab. call pymcx.mcx() with cfg-like keywords or a dict. Output volume is a numpy array or array.array.

As promised, SVMC-capable #MCXLAB can now be downloaded from our nightly build site
https://t.co/zViHtt8bwg
Thanks @Shijie_Yan for the great work and getting the code ready for public use
Details of the software can be found in our BOE paper
https://t.co/eC8canDOxQ
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