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Amorphous track predictions in 'libamtrack' for alanine relative effectiveness in ion beams

机译:离子束中丙氨酸相对有效性的“ libamtrack”中的非晶轨迹预测

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Solid state dosimetry in therapeutic ion beams is seriously hampered by ionisation density effects. In most cases the use of empirical corrections is limited and therefore model predictions, especially from amorphous track models (ATMs), play a major role. Due to its high saturation dose and simple dose response, the alanine detector can help to study fundamental assumptions and accuracy in amorphous track modelling. The libamtrack project enabled recently to directly compare various flavours of ATMs. We therefore present here the potential of predictions for alanine from two libamtrack ATMs with experimental data as first part of a greater study. We find very good agreement for protons, helium and carbon ions for thin targets. For thick targets, however, the two compared algorithms show differences, with one generally better matching the data. Additional assumptions which have to be made on particle transport and stopping powers hinders a thorough interpretation of the deviation found and stress the necessity for a broader data base at lower particle energies.
机译:电离密度效应严重阻碍了治疗性离子束的固态剂量测定。在大多数情况下,经验校正的使用受到限制,因此模型预测(尤其是来自非晶轨道模型(ATM)的模型预测)起着主要作用。由于其高饱和剂量和简单的剂量响应,丙氨酸检测器可以帮助研究无定形轨迹建模的基本假设和准确性。 libamtrack项目最近使我们能够直接比较各种ATM。因此,我们在这里介绍了从两个libamtrack ATM预测丙氨酸的潜力,并将实验数据作为更大研究的第一部分。我们发现质子,氦气和碳离子对于较薄的靶标具有很好的一致性。但是,对于较厚的目标,两种经过比较的算法显示出差异,其中一种算法通常会更好地匹配数据。必须对粒子传输和停止功率做出的其他假设阻碍了对发现的偏差的透彻解释,并强调了在较低的粒子能量下需要更广泛的数据库的必要性。

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