Short-lived radionuclides are measured in surface sediment to provide a geochronology for the past century. Age-depth models are produced from ²¹⁰Pb_ex activity-derived sedimentation rates and corroborated by known events, such as ¹³⁷Cs and ²⁴¹Am activities that are result of fallout from nuclear weapon tests and the Chernobyl accident. Different methods of age depth modelling using such data require expertise in lake sedimentation processes.

Here, we present a package, serac, that allows the user to compute an age-depth model and generate a graph, the age-depth correspondence in a text file, and metadata, using the free open-source statistical software R. serac ensures the reproducibility of age-depth or age-mass depth models and allows testing of several ²¹⁰Pbex models (CFCS, CIC, CRS, CRS piecewise) and sedimentation hypotheses (changes in sedimentation rates, presence of instantaneous deposits, varved sedimentation, etc.). Using several case studies, including lakes and lagoon in different environments, we demonstrate the use of the program in diverse situations that may be encountered.

The rising number of sediment cores in recent palaeo studies and the need to correlate them require reproducible methods. serac is a user-friendly code that enables age model computation for the past century and encourages the standardisation of outputs.

在表层沉积物中测量了短命放射性核素，以提供上个世纪的地质年代学。年龄深度模型是从生产的²¹⁰铅_前活动衍生的沉积速率，并通过已知事件，如证实¹³⁷ Cs和^241周上午的活动是由核武器试验和切尔诺贝利事故后果的结果。使用此类数据进行年龄深度建模的不同方法需要湖泊沉积过程方面的专业知识。

在这里，我们提出了一个包，冰塔，其允许用户以计算年龄深度模型和产生的曲线图，在文本文件中的年龄深度的对应关系，和元数据，使用免费的开源统计软件R.冰塔确保年龄-深度或年龄-质量深度模型的可再现性，并允许测试多个²¹⁰ Pbex模型（CFCS，CIC，CRS，CRS分段）和沉降假设（沉降速率的变化，瞬时沉积物的存在，裂谷沉积等） 。通过使用多个案例研究，包括不同环境中的湖泊和泻湖，我们演示了该程序在可能遇到的各种情况下的使用。

最近的古研究中沉积物核的数量不断增加，并且需要将它们关联起来，这需要可重现的方法。serac是一种用户友好的代码，它可以在过去的一个世纪中计算年龄模型，并鼓励标准化输出。