Many first responders are outfitted with electronic personal dosimeters to recognize and be alerted to radiological hazards during their response operations. These dosimeters provide invaluable measurement data for force protection, allowing the first responder to assess a response situation and take protective measures for themselves and other individuals involved based on instrument readings of dose rate or cumulative dose. However, capabilities of common electronic personal dosimeters to identify and distinguish various contributions to the instrument reading, in particular from natural radiological sources, are rather limited. An algorithm has been developed for two-channel electronic personal dosimeters that quantifies the signal contribution from radon progeny and allows for background subtraction from radon and radon progeny in the instrument reading. This algorithm will be particularly useful in operational scenarios where first responders may be subject to rapidly changing levels of natural background radiation, which could mimic the presence of anthropogenic sources of ionizing radiation.

中文翻译：

---

电子个人剂量计的Rad背景扣除算法。

许多第一响应者配备了电子个人剂量计，以在其响应操作过程中识别并警告放射危害。这些剂量计可提供宝贵的保护力测量数据，使第一响应者可以根据剂量率或累积剂量的仪器读数评估响应情况并为自己和其他相关人员采取保护措施。然而，普通的电子个人剂量计识别和区分对仪器读数的各种贡献，特别是来自自然放射源的各种贡献的能力相当有限。已经开发出一种用于两通道电子个人剂量计的算法，该算法可量化ra子体的信号贡献，并允许在仪器读数中从ra和ra子体中扣除背景。该算法在急救人员可能会遭受自然背景辐射水平快速变化的操作场景中特别有用，这可以模仿人为电离辐射源的存在。