Fig. 1. Comparison of trigonometry-based Gaussian-like and Gaussian pulse (Gaussian pulse: μ = 2, σ = 0.4, Gaussian-like pulse: t_c = 2)

Fig. 2. Dual exponential signal (a) and Gaussian-like signal (b)

Fig. 3. Cascade structure of Gaussian-like pulse shaping algorithm for a dual exponential signal

Fig. 4. Gaussian-like shaping with different shaping parameters(a) Falling edge attenuation constant τ₁, (b) Rising edge attenuation constant τ₂, (c) Shaping width n_c

Fig. 5. Impact of different n_c values on frequency characteristics

Fig. 6. Shaping pulses obtained by different pulse shaping algorithms

Fig. 7. Experimental platform for energy dispersive X-ray fluorescence spectroscopy analysis based on a Fast SDD detector

Fig. 8. Energy spectrum obtained by different pulse shaping algorithms (tube current: 15.7 μA, peaking time: 1.8 μs)(a) Sin shaping, (b) Gaussian-like shaping

Fig. 9. Relationship between energy resolution and peaking time for different tube flows(a) 15.7 μA, (b) 31.4 μA, (c) 78.4 μA, (d) 156.9 μA

Fig. 10. Relationship between the characteristic peak area of the energy spectrum and peaking time for different tube flows(a) 15.7 μA, (b) 31.4 μA, (c) 78.4 μA, (d) 156.9 μA