进入地球大气层的流星体可以作为流星观测，从而提供关于其形成及其母体的有用信息。我们开发了一个数据处理软件包，从SPOSH相机的双站流星数据，其中包括事件检测，图像几何和辐射定标，辐射和速度估计，轨迹和轨道确定，流星光变曲线恢复。该软件包旨在充分利用SPOSH图像的高光度质量。这将有助于探测流星流和研究其轨迹。我们已经运行了模拟，以评估软件的性能，估计辐射，速度和大小的合成流星，并将它们与先验值进行比较。辐射位置的估计不确定度均值为零，中位偏差在0.03 $^{\circ}$和0.11 $^{\circ}$之间，赤经为0.02 $^{\circ}$和0.07 $^{\circ}$之间。速度的估计不确定性的中位数偏差在0.40和0.45 km s $^{-1}$之间。人造流星的亮度估计在+0.01米以内。我们已经应用该软件包，以177个真正的流星获得的SPOSH相机。地心赤经和赤经的传播误差中值分别为0.64 $^{\circ}$和0.29 $^{\circ}$，地心速度的传播误差中值为1.21 km $s^{-1}$。
英文摘要：
Meteoroids entering the Earth's atmosphere can be observed as meteors, thereby providing useful information on their formation and hence on their parent bodies. We developed a data reduction software package for double station meteor data from the SPOSH camera, which includes event detection, image geometric and radiometric calibration, radiant and speed estimates, trajectory and orbit determination, and meteor light curve recovery. The software package is designed to fully utilise the high photometric quality of SPOSH images. This will facilitate the detection of meteor streams and studies of their trajectories. We have run simulations to assess the performance of the software by estimating the radiants, speeds, and magnitudes of synthetic meteors and comparing them with the a priori values. The estimated uncertainties in radiant location had a zero mean with a median deviation between 0.03$^{\circ}$ and 0.11$^{\circ}$ for the right ascension and 0.02$^{\circ}$ and 0.07$^{\circ}$ for the declination. The estimated uncertainties for the speeds had a median deviation between 0.40 and 0.45 km s$^{-1}$. The brightness of synthetic meteors was estimated to within +0.01m. We have applied the software package to 177 real meteors acquired by the SPOSH camera. The median propagated uncertainties in geocentric right ascension and declination were found to be of 0.64$^{\circ}$ and 0.29$^{\circ}$, while the median propagated error in geocentric speed was 1.21 km $s^{-1}$.
Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data
Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University（罗蒙诺索夫莫斯科国立大学斯科别利岑核物理研究所）；Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University（罗蒙诺索夫莫斯科国立大学计算数学与控制论系）；INFN（意大利国家核物理研究所）；Università di Torino（都灵大学）；INAF（意大利国家天体物理研究所）；Faculty of Physics, M.V. Lomonosov Moscow State University（M.V.罗蒙诺索夫莫斯科国立大学物理系）；RIKEN（理化学研究所）
Twin Impact Lunar Telescope network: Lunar Impact Flash observations of the 2025 Geminids
University of Leicester（莱斯特大学）；Université Côte d’Azur（蔚蓝海岸大学）；Observatoire de la Côte d’Azur（蔚蓝海岸天文台）；Université Paris Cité（巴黎西岱大学）；Institut de Physique du Globe de Paris（巴黎地球物理研究所）；LTE, Observatoire de Paris, Université PSL, Sorbonne Université, Université de Lille, LNE, CNRS（巴黎天文台 LTE（隶属于巴黎文理研究大学、索邦大学、里尔大学、法国国家计量院和法国国家科学研究中心））
