The health risks of space radiation present big challenges to space exploration, with the possibility of large Energetic Solar Particle Events (ESPEs) inducing Acute Radiation Sickness (ARS) during upcoming Artemis missions. An operational software Acute Radiation Risks Tool (ARRT) was developed to directly use measurements from onboard dosimeters to project organ doses during times of increased radiation exposure, so that any possible ARS risks of the astronauts can be modeled and monitored in real time using a data stream at the astronaut location. To enable ARRT to handle variant scenarios of any possible ESPEs in an automatic manner for mission operation, two data sets were employed in developing its modules, one involving historical solar protons recorded over the past four decades and the other using the real‐time telemetry readings of dosimeters onboard International Space Station (ISS). Though vastly different in terms of data cadence, smoothness, and data gaps, all events in these data sets can be correctly processed to output organ doses and ARS risks and generate flight notes for communication within the Flight Control Team (FCT). All these tasks are completed with close interactions between multiple modules developed with many state‐of‐the‐art facilities of full stack web applications. This work demonstrates that ARRT meets the requirement to project radiation exposure and to provide clinical guidelines in very short time steps as the ESPE unfolds, even for the longest event in data sets, making this tool eligible to be tested during the upcoming unmanned Artemis mission and utilized in future space exploration.

中文翻译：

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为即将到来的人类探索任务开发ARRT

空间辐射的健康风险给太空探索带来了巨大挑战，在即将进行的Artemis任务期间，大型高能太阳粒子事件（ESPE）可能会诱发急性辐射病（ARS）。开发了一种可运行的软件“急性辐射风险工具”（ARRT），以在辐射暴露增加时直接使用车载剂量计的测量值来预测器官剂量，从而可以使用数据实时建模和监控宇航员的任何可能的ARS风险。流在宇航员的位置。为了使ARRT能够以自动方式自动执行任务操作，处理任何可能的ESPE的变体方案，在开发其模块时采用了两个数据集，一个涉及过去四十年来记录的历史太阳质子，另一个涉及国际空间站（ISS）上剂量计的实时遥测读数。尽管在数据节奏，平滑度和数据间隙方面有很大的不同，但是这些数据集中的所有事件都可以正确处理以输出器官剂量和ARS风险，并生成飞行笔记以在飞行控制团队（FCT）之间进行沟通。所有这些任务都是通过使用全栈Web应用程序的许多最新设施开发的多个模块之间的紧密交互来完成的。这项工作证明，即使ESPE展开，ARRT仍能满足在极短的时间内投影放射线并提供临床指导的要求，即使是数据集中时间最长的事件，