First Order Reversal Curve (FORC) distributions of magnetic materials are a well-known tool to extract information about hysteresis sources and magnetic interactions, or to fingerprint them. Recently, a temperature variant of this analysis technique (Temperature-FORC, TFORC) has been used for the analysis of the thermal hysteresis associated with first-order magnetocaloric materials. However, the theory supporting the interpretation of the diagrams is still lacking, limiting TFORC to a fingerprinting technique so far. This work is a first approach to correlate the modeling of first-order phase transitions, using the Bean–Rodbell model combined with a phenomenological transformation mechanism, with the features observed in experimental TFORC distributions of magnetocaloric materials. The different characteristics of the transformations, e.g., transition temperatures, symmetry, temperature range, etc., are correlated to distinct features of the distributions. We show a catalogue of characteristic TFORC distributions for magnetocaloric materials that exhibit some of the features observed experimentally.

中文翻译：

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为解释磁热材料的温度一阶反转曲线（TFORC）分布奠定基础

磁性材料的一阶反转曲线（FORC）分布是一种众所周知的工具，用于提取有关磁滞源和磁相互作用的信息或对其进行指纹识别。最近，这种分析技术的温度变量（Temperature-FORC，TFORC）已用于分析与一阶磁热材料相关的热滞后现象。但是，仍然缺乏支持图解解释的理论，到目前为止，TFORC仅限于指纹技术。这项工作是使用Bean-Rodbell模型与现象学转换机制相结合，将一阶相变建模与磁热材料的实验TFORC分布相关联的第一种方法。转换的不同特征，例如 转变温度，对称性，温度范围等与分布的不同特征相关。我们显示了磁热材料的特征性TFORC分布目录，该目录显示了实验观察到的某些特征。