Abstract We present an algorithm developed to measure the fluxes of major meteor showers as observed in NASA’s All-Sky Fireball Network cameras. Measurements of fluxes from the All-Sky cameras not only improve the Meteoroid Environment Office’s (MEO’s) ability to provide accurate risk assessments from major showers, but also allows the mass distribution of meteoroids within the shower to be constrained. This algorithm accounts for the shower-specific and event-specific exposure time and collecting area of the sky for nights where sufficiently large samples of shower meteors ( ~ 30 or more from the shower) are observed. The fluxes derived from the All-Sky Fireball Network for the 2015 Geminid, 2016 Perseid and Quadrantid, 2017 Orionid, and 2018 Leonid shower peaks are calculated. All five of these shower fluxes show excellent agreement with expectations from independent measurements at different mass and luminosity limits. For four of these five showers, the measured mass indices are significantly shallower than what is currently assumed by the NASA Meteoroid Environment Office’s (MEO’s) annual meteor shower forecast. A direct comparison between forecasted and measured fluxes at limiting masses of ~ 1 g shows good agreement for the three showers for which the observations took place near their peak activity.

中文翻译：

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使用 NASA 全天火球网络测量流星雨的通量

摘要 我们提出了一种算法，用于测量在 NASA 的全天火球网络摄像机中观察到的主要流星雨的通量。All-Sky 相机的通量测量不仅提高了流星体环境办公室 (MEO) 提供准确的主要流星雨风险评估的能力，而且还允许限制流星体在流星雨中的质量分布。该算法考虑到了观测到足够大的流星雨样本（大约 30 个或更多来自流星雨）的夜晚的流星特定和事件特定的曝光时间和天空收集区域。计算了来自全天火球网络的 2015 双子座流星雨、2016 年英仙座和象限仪座流星雨、2017 年猎户座流星雨和 2018 年狮子座流星雨峰的通量。所有这五个淋浴通量都与在不同质量和光度限制下独立测量的预期非常吻合。对于这五个流星雨中的四个，测量的质量指数明显低于美国宇航局流星体环境办公室 (MEO) 年度流星雨预测目前假设的值。在约 1 g 的极限质量下，预测和测量的通量之间的直接比较表明，观测发生在其峰值活动附近的三个阵雨具有良好的一致性。