arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 0709.2990astro-ph
收藏

进化神经网络在星系丰度推断中的应用

On the deduction of galaxy abundances with evolutionary neural networks

Michael Taylor, Angeles I. Diaz

摘要:

越来越多的指标现在被用来测量行星状星云、银河系HII区(GHIIR)、河外HII区(EGHIIR)和HII星系(HIIGs)中光电离区的金属丰度(Z)。然而,一个通用的指标,也在高金属还没有被发现。在这里,我们报告一个新的人工智能为基础的方法来确定金属指标,显示提供改进的经验拟合的承诺。该方法取决于进化神经网络观测发射线数据的应用。该网络的DNA,编码在其架构,权重和神经元传递函数,使用遗传算法进化。此外,对一组10个不同的神经元传递函数进行操作的选择意味着在网络解决方案架构中编码的经验关系是函数形式而不是数值形式。因此,网络解决方案提供了一个方程的金属含量的线比没有先验的假设。利用这种方法提供的数学能力,我们将该网络应用于96个HII型区域样本的光学星云和极光发射线的详细观测,并且我们能够获得Z和S23之间的经验关系,色散仅为0.16 dex。我们展示了如何使用该方法来识别新的诊断以及金属度Z,电离参数U和有效(或等效)温度T* 之间存在的非线性关系。

英文摘要:

A growing number of indicators are now being used with some confidence to measure the metallicity(Z) of photoionisation regions in planetary nebulae, galactic HII regions(GHIIRs), extra-galactic HII regions(EGHIIRs) and HII galaxies(HIIGs). However, a universal indicator valid also at high metallicities has yet to be found. Here, we report on a new artificial intelligence-based approach to determine metallicity indicators that shows promise for the provision of improved empirical fits. The method hinges on the application of an evolutionary neural network to observational emission line data. The network's DNA, encoded in its architecture, weights and neuron transfer functions, is evolved using a genetic algorithm. Furthermore, selection, operating on a set of 10 distinct neuron transfer functions, means that the empirical relation encoded in the network solution architecture is in functional rather than numerical form. Thus the network solutions provide an equation for the metallicity in terms of line ratios without a priori assumptions. Tapping into the mathematical power offered by this approach, we applied the network to detailed observations of both nebula and auroral emission lines in the optical for a sample of 96 HII-type regions and we were able to obtain an empirical relation between Z and S23 with a dispersion of only 0.16 dex. We show how the method can be used to identify new diagnostics as well as the nonlinear relationship supposed to exist between the metallicity Z, ionisation parameter U and effective (or equivalent) temperature T*.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑