The line connecting rare earth elements (REE) in chondrite-normalised plots can be represented by a smooth polynomial function using λ shape coefficients as described by O'Neill (2016). In this study, computationally generated λ combinations are used to construct artificial chondrite-normalised REE patterns that encompass most REE patterns likely to occur in natural materials. The dominant REE per pattern is identified, which would lead to its inclusion in a hypothetical mineral suffix, had this mineral contained essential REE. Furthermore, negative Ce and Y anomalies, common in natural minerals, are considered in the modelled REE patterns to investigate the effect of their exclusion on the relative abundance of the remainder REE. The dominant REE in a mineral results from distinct pattern shapes requiring specific fractionation processes, thus providing information on its genesis. Minerals dominated by heavy lanthanides are rare or non-existent, even though the present analysis shows that REE patterns dominated by Gd, Dy, Er and Yb are geologically plausible. This discrepancy is caused by the inclusion of Y, which dominates heavy REE budgets, in mineral name suffixes. The focus on Y obscures heavy lanthanide mineral diversity and can lead to various fractionation processes to be overlooked. Samarium dominant minerals are known, even though deemed unlikely by the computational model, suggesting additional fractionation processes that are not well described by λ shape coefficients. Positive Eu anomalies only need to be moderate in minerals depleted in the light REE for Eu to be the dominant REE, thus identifying candidate rocks in which the first Eu dominant mineral might be found. Here, I present an online tool, called ALambdaR that allows interactive control of λ shape coefficients and visualisation of resulting REE patterns.

如O'Neill（2016）所述，可以使用λ形状系数通过光滑多项式函数来表示球粒陨石标准化图中连接稀土元素（REE）的线。在这项研究中，计算产生的λ组合用于构建人工球粒陨石归一化REE模式，该模式涵盖了可能在天然材料中出现的大多数REE模式。如果每种矿物都含有必需的REE，则可以确定每种模式的主要REE，这将导致其包含在假设的矿物后缀中。此外，在模拟的REE模式中考虑了天然矿物中常见的Ce和Y负异常，以研究排除它们对其余REE相对丰度的影响。矿物中的主要稀土元素来自需要特定分馏过程的独特图案形状，从而提供有关其起源的信息。尽管目前的分析表明，以镧，Dy，Er和Y为主的稀土元素在地质上是合理的，但以重镧系元素为主的矿物却很少或根本不存在。这种差异是由于在矿物名称后缀中包含了Y（占主要的REE预算）引起的。对Y的关注掩盖了重镧系元素的矿物多样性，并可能导致各种分馏过程被忽略。mar占主导地位的矿物是已知的，即使被计算模型认为是不可能的，也暗示了附加的分馏过程，但λ形状系数并未很好地描述。只需要将轻稀土中消耗掉的矿物中的正Eu异常设为中等，即可使Eu成为优势REE，从而确定可能发现第一个Eu优势矿物的候选岩石。ALambdaR允许交互式控制λ形状系数和可视化生成的REE模式。