On the Problem of Prognostication of Bright Kreutz Sungrazers
TLDR
This paper proposes an algorithm to predict bright Kreutz sungrazers based on orbital patterns of tidally fragmented comets.
Key contributions
- Kreutz sungrazers exhibit complex, non-uniform orbital distributions due to tidal and nontidal fragmentation.
- Discovered a distinct orbital period pattern in fragments of the 1882 Great September Comet.
- This pattern, based on a 'u_frg' parameter, applies to other tidally split sungrazers.
- Proposes an algorithm to prognosticate bright Kreutz sungrazers over centuries, though empirical.
Why it matters
Predicting bright Kreutz sungrazers is challenging due to their complex fragmentation. This research offers a novel, pattern-based algorithm to forecast these spectacular celestial events. While empirical, it provides a crucial step towards understanding and anticipating future sungrazer appearances.
Original Abstract
Tidal fragmentation at perihelion and nontidal fragmentation elsewhere cause the orbital distribution of Kreutz sungrazers of all sizes to be extremely complicated and highly nonuniform. Among the features are (largely fortuitous) clusters of bright (naked-eye) objects and clumps of dwarf objects (often closely genetically related, as their detection primarily by the SOHO coronagraphs suggests) on the one hand; and both spectacular and less brilliant sibling sungrazers, whose perihelion times are scattered over centuries, on the other hand. Investigation of four fragment nuclei of the Great September Comet of 1882, the products of a perihelion breakup of the comet's original nucleus, showed that their orbital periods followed a distinct pattern, which likewise applied to other tidally split sungrazers and was characterized by a specific value of the second difference of parameter u_frg of neighboring fragments' centers of mass. The algorithm has a potential for the prognostication of bright Kreutz sungrazers over the rest of the 21st century and beyond. However, because of its as yet unverified empirical character, the utmost caution should be exercised when applying the procedure.
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