Fig. 6: Temperature evolution estimated from a Bayesian analysis of Kα spectra for HC targets. | Communications Physics

Fig. 6: Temperature evolution estimated from a Bayesian analysis of Kα spectra for HC targets.

From: Creation and characterization of warm dense matter isochorically heated by an intense laser-driven proton beam to temperatures exceeding 100 eV

Fig. 6

The first column (a, b) corresponds to the BL driver, while the second column (c, d) corresponds to the SL driver. In (a, c) the orange line represents \({T}_{\max }\), the blue line represents \({T}_{\min }\), and the black line indicates the average temperature. The temporal evolution of the temperature spatial dispersion ΦFWHM is shown in (b, d). The uncertainty, represented by the shaded area in (a, c) and by the error bars in (b, d), corresponds to the standard deviation estimated from the Bayesian analysis. The hatched region within the first  ~20 ps corresponds to times when the Bayesian technique is affected by noise, resulting in large uncertainties for \({T}_{\max }\) and ΦFWHM. The posterior mean temperature remains in agreement with the single-temperature approach (Fig. 4) in this region, which was both accurate and sufficient during these initial times.

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