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Python code written to efficiently calculate 1.3 billion matrix elements of the Second Gadget for Adinkras

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Lmatr_export.txt
Lmatr_export.txt
 
 
README.md
README.md
 
 
Rmatr_export.txt
Rmatr_export.txt
 
 
Vclass_dict_export.txt
Vclass_dict_export.txt
 
 
Vpart_dict_export.txt
Vpart_dict_export.txt
 
 
adinkra_export.txt
adinkra_export.txt
 
 
adinkra_nxn_constructor.py
adinkra_nxn_constructor.py
 
 
adinkra_nxn_gadget.py
adinkra_nxn_gadget.py
 
 
adinkra_tetrad_calc.py
adinkra_tetrad_calc.py
 
 
alpha_beta_4x4.py
alpha_beta_4x4.py
 
 
alpha_beta_4x4.pyc
alpha_beta_4x4.pyc
 
 
class_export.txt
class_export.txt
 
 
class_visual_export.txt
class_visual_export.txt
 
 
dxd_permutation_matrices.txt
dxd_permutation_matrices.txt
 
 
prod_dict_export.txt
prod_dict_export.txt
 
 
sign_permutation_matrices.txt
sign_permutation_matrices.txt
 
 
symmetric_groups.txt
symmetric_groups.txt
 
 
vij_holoraumy_calc.py
vij_holoraumy_calc.py
 
 
vij_holoraumy_calc.pyc
vij_holoraumy_calc.pyc
 
 

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SUSY_AdinkraGadget2_parallel

The 'multiprocessing' python library was used to speed up previous attempts at Gadget calculation. This code is best run on a multi-core system that can maximally process the 'Pool' used in the program 'adinkra_nxn_gadget.py.'

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Python code written to efficiently calculate 1.3 billion matrix elements of the Second Gadget for Adinkras

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python parallel gadget supersymmetry adinkra

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