Abstract
A new diagnosis method for the discriminative detection of laser-accelerated multi-MeV carbon ions from background oxygen ions utilizing solid-state nuclear track detectors (SSNTDs) is proposed. The idea is to combine two kinds of SSNTDs having different track registration sensitivities: Bisphenol A polycarbonate detects carbon and the heavier ions, and polyethylene terephthalate detects oxygen and the heavier ions. The method is calibrated with mono-energetic carbon and oxygen ion beams from the heavy ion accelerator. Based on the calibration data, the method is applied to identify carbon ions accelerated from multilayered graphene targets irradiated by a high-power laser, where the generation of high-energy high-purity carbon ions is expected. It is found that 93 ± 1% of the accelerated heavy ions with energies larger than 14 MeV are carbons. The results thus obtained support that carbon-rich heavy ion acceleration is achieved.
Highlights
Laser-driven ion acceleration has been one of the most active areas of r esearch[1, 2]
The most sensitive CR-39 can record protons as etchable tracks with energies less than 20 MeV and the heavier ions[22], and other SSNTDs can detect heavy ions depending on their track registration sensitivities[23]
We report on the results of the new diagnosis method utilizing the combination of PC and polyethylene terephthalate (PET) for discriminative detection of laser-accelerated multi-MeV carbon ions from background oxygen ions
Summary
Laser-driven ion acceleration has been one of the most active areas of r esearch[1, 2]. Laser-driven multi-MeV carbon ions have been generated using carbon-based targets such as diamond-like carbon (DLC)[5], double-layer targets composed of carbon nanotube foam (CNF) and D LC6, ultrathin (10–100 nm) carbon foils[7], and large-area suspended graphene (LSG)[8,9] In all these experimental works, Thomson parabola (TP)-type ion energy analyzers[10,11,12] have been utilized to characterize the accelerated ions, where ions pass through electric and magnetic fields and are differentiated by their mass-to-charge ratios and the energies. We report on the results of the new diagnosis method utilizing the combination of PC and PET for discriminative detection of laser-accelerated multi-MeV carbon ions from background oxygen ions
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