HEXC3
Fit Function | \[\begin{align*} \sigma (pe) &= \text{pcf}(1) \left( c_1 + c_2 \right) \\ \text{where} \quad c_1 &= \begin{cases} \frac{{\exp\left(\frac{-\text{pcf}(2)}{pe}\right) \cdot \log\left(1 + \text{pcf}(3) \cdot pe\right)}}{pe}& \text{if } \left| \frac{\text{pcf}(2)}{pe} \right| \lt 700 \\ 0& \text{otherwise} \end{cases} \\ c_2 &= \begin{cases} \frac{\text{pcf}(4) \cdot \exp\left(-\text{pcf}(5) \cdot pe\right)}{pe^{\text{pcf}(6)} + \text{pcf}(7) \cdot pe^{\text{pcf}(8)}} & \text{if } \left|\text{pcf}(5) \cdot pe\right| < 700 \\ 0 & \text{otherwise} \end{cases} \end{align*}\] |
Comments | Python code requires NumPy imported as `np`. |
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Code | c c################################################################### c subroutine hexc3(pe, pcf, kncf, pxs, kermsg) c c this is a subroutine to calculate cross sections (cm[2]) c versus projectile energy (ev) for heavy particle collisions. c c pe = collision energy in ev c c pcf(1-8) = parameters for fit to the cross section c c kermsg = blank if no errors c c pxs = cross section in cm[2] c------------------------------------------------------------------------ c double precision pe, pcf, pxs double precision e, a1, a2, a3, a4, a5, a6, arg1, arg2 double precision a7, a8, c1, c2, dexpr, zero, one c dimension pcf(10) character*(*) kermsg data dexpr/7.00d+02/ data zero/0.00d+00/ data one/1.00d+00/ c c generate e, the energy in kev c e = pe a1= pcf(1) a2= pcf(2) a3= pcf(3) a4= pcf(4) a5= pcf(5) a6= pcf(6) a7= pcf(7) a8= pcf(8) arg1=-a2/e c1=zero if (dabs(arg1) .lt. dexpr) c1=dexp(arg1) * dlog(one+(a3*e))/e c arg2=-a5*e c2=zero if (dabs(arg2) .lt. dexpr) c2=a4*dexp(arg2)/ 1 (e**a6 + (a7 * (e**a8))) c pxs=a1*(c1 + c2) return end |
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Code | def hexc3(pe, pcf): """ This function calculates the cross-section for heavy particle collisions. pe: collision energy in eV pcf: parameters for fit to the cross section pcf[0:7]: parameters for fit to the cross section """ dexpr = 700.0 arg1 = -pcf[1]/pe c1 = np.where(np.abs(arg1) < dexpr, np.exp(arg1) * np.log(1. + pcf[2] * pe)/pe, 0.0) arg2 = -pcf[4] * pe c2 = np.where(np.abs(arg2) < dexpr, pcf[3] * np.exp(arg2)/(pe**pcf[5] + (pcf[6] * (pe**pcf[7]))), 0.0) pxs = pcf[0] * (c1 + c2) return pxs |