Solar energy paper index
Predicting Atmospheric Re-entries Using Segmented M/A Calibration of Public TLE Data
One-line summary
A solar energy research paper on Predicting Atmospheric Re-entries Using Segmented M/A Calibration of Public TLE Data.
Engineering notes
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Chinese explanation / 中文解读
中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。
Original abstract
We present a reproducible method for predicting atmospheric re-entries using only publicly available Two-Line Elements (TLEs). The approach is based on a segmented calibration of the effective mass-to-area ratio (M/A), adjusted independently over intervals of at least 12 hours to suppress short-period catalogue noise. Longer segments provide a stable dynamical signal from which the effective drag behaviour can be retrieved. Applied to recent natural re-entries of rocket bodies, debris, and non-manoeuvring satellites, the method consistently identifies the final orbital revolution and reproduces published Tracking and Impact Prediction (TIP) times with an accuracy of approximately +/- 1 hour in the terminal phase. The limiting factor is the intrinsic noise and cadence of the TLE catalogue rather than atmospheric or solar-flux modelling. Within these constraints, segmented M/A calibration offers a transparent, lightweight, and operationally robust alternative for re-entry analysis when only public data are available.
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