have quite different behaviours, since their weak boson decays are different. The total e ± from fragmentations are described by the following functions ˜ µ$_{L}$ : dN dE = exp 16 . 926 − 15 . 601 E 0 . 183 E 1 . 438 [ 1 + 14 . 90 log(1 + 0 . 05 E ) 6 . 1 ] − 8 . 5 × 10 − $^{5}$E0 . $^{55}$, ν$_{µ}$$_{L}$ : dN dE = exp 16 . 913 − 15 . 601 E 0 . 183 E 1 . 437 1 + 14 . 9 log(1 + 0 . 055 E ) 6 . 5 − 9 . 0 × 10 − $^{7}$E0 . $^{60}$, ˜ µ$_{R}$ : dN dE = E 1 . 302 0 . 245 + 262 . 353 E 1 . 971 + E 0 . 031 104 . 334 + 5 . 757 × 10 − $^{5}$E3 . 242 . (C1) The type for all the Higgs bosons have the similar form, probably because they all are dominated by the H$_{d}$ components. For simplicity, we only present A$_{0}$ as follows A 0 : dN dE = exp 17 . 716 − 15 . 601 E 0 . 160 E 1 . 327 [ 1 + 4 . 0 log(1 + 0 . 021 E ) 3 . 0 ] − 1 . 0 × 10 − $^{6}$E0 . $^{8}$. (C2) ˜ C 0 3 : dN dE = exp 15 . 461 − 15 . 601 E 0 . 163 E 1 . 311 [ 1 + 40 . 0 log(1 + 0 . 025 E ) 2 . 4 ] − 2 . 7 × 10 − $^{5}$E0 . $^{7}$, C 0 4 : dN dE = exp 17 . 880 − 15 . 601 E 0 . 174 E 1 . 408 1 + 14 . 0 log(1 + 0 . 024 E ) 4 . 2 − 1 . 7 × 10 − $^{6}$E0 . $^{5}$, ˜ C ± 1 : dN dE = exp 17 . 198 − 15 . 601 E 0 . 195 E 1 . 494 [ 1 − 1 . 1 log(1 + 0 . 045 E ) 3 . 0 ] − 2 . 7 × 10 − $^{6}$E0 . $^{5}$, ˜ C ± 2 : dN dE = exp 17 . 814 − 15 . 601 E 0 . 174 E 1 . 416 [ 1 + 13 . 0 log(1 + 0 . 026 E ) 3 . 5 ] + 1 . 4 × 10 − $^{6}$E1 . 4 . (C3) At last, the fitting functions for the neutralinos ˜ C 0 3 , 4 and charginos ˜ C ± 1 , 2 are given by 0 dN 15 . 461 − 15 . 601 E 0 . 163 1 . 311 2 . 4 − Basically, these fitting functions consist of three parts. The first part describes the low energy region very well, the second logarithmic part is added to slow down the exceptional decreasing, and the last part is used to modulate the region near the DM mass cutoff region. This kind of fitting functions is not universal, and only applies to our parameter sets. We FIG. 6: Typical fitting functions: ˜ C 0 4 (left), H (middle) and ˜ µ$_{L}$ (right). In the simulations, 3 × 10 5 events have been generated by PYTHIA. 0.01 0.1 1 10 100 1 100 10 4 10 6 0.01 0.1 1 10 100 100 10 4 10 6 0.01 0.1 1 10 100 100 10 4 10 6 23