E modeling
==============

This modeling is identical to the E model.

The only difference is that we are choosing quadratic cells here (TRIA6).


.. csv-table::

    "**Identification**", "**Reference**", "**Tolerance**"
    "CALC_G ", "", ""
    "C1 + background1: K1", "1.9294 105"," 0.5%"
    "C1 + background2: K1", "1.9294 105"," 0.5%"
    "C1 + background1: K2", "1,139 105"," 2.0%"
    "C1 + background 2: K2", "1,139 105"," 2.0%"
    "C1 + background1: G", "0.215"," 0.6%"
    "C1 + background2: G", "0.215"," 0.6%"
    "C2 + background1: K1", "1.9294 105"," 0.5%"
    "C2 + background2: K1", "1.9294 105"," 0.5%"
    "C2 + background1: K2", "1,139 105"," 2.0%"
    "C2 + background2: K2", "1.1139.105"," 3.0%"
    "C2 + background1: G", "0.215"," 0.6%"
    "C2 + background2: G", "0.215"," 0.6%"
    "POST_K1_K2_K3 ", "", ""
    "C1 + background1: K1", "1.9294 105"," 0.2%"
    "C1 + background2: K1", "1.9294 105"," 0.2%"
    "C1 + background1: K2", "1,139,105"," 1.5%"
    "C1 + background2: K2", "1,139,105"," 1.5%"
    "C2 + background1: K1", "1.9294 105"," 0.2%"
    "C2 + background2: K1", "1.9294 105"," 0.2%"
    "C2 + background1: K2", "1,139 105"," 1.5%"
    "C2 + background2: K2", "1,139,105"," 1.5%"