Baziotis, Ioannis and Xydous, Stamatios and Papoutsa, Angeliki and Hu, Jinping and Ma, Chi and Klemme, Stephan and Berndt, Jasper and Ferrière, Ludovic and Caracas, Razvan and Asimow, Paul D. (2022) Jadeite and related species in shocked meteorites: Limitations on inference of shock conditions. American Mineralogist, 107 (10). pp. 1868-1877. ISSN 0003-004X. doi:10.2138/am-2022-8220. https://resolver.caltech.edu/CaltechAUTHORS:20221013-48863000.11
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Abstract
Jadeite is frequently reported in shocked meteorites, displaying a variety of textures and grain sizes that suggest formation by either solid-state transformation or by crystallization from a melt. Some-times, jadeite has been identified solely on the basis of Raman spectra. Here we argue that additional characterization is needed to confidently identify jadeite and distinguish it from related species. Based on chemical and spectral analysis of three new occurrences, complemented by first-principles calculations, we show that related pyroxenes in the chemical space (Na)ᴹ²(Al)ᴹ¹(Si₂)ᵀO₆–(Ca)ᴹ²(Al)ᴹ¹(AlSi)ᵀO₆–(☐)ᴹ²(Si)ᴹ¹(Si₂)ᵀO₆ with up to 2.25 atoms Si per formula unit have spectral features similar to jadeite. However, their distinct stability fields (if any) and synthesis pathways, considered together with textural constraints, have different implications for precursor phases and estimates of impactor size, encounter velocity, and crater diameter. A reassessment of reported jadeite occurrences casts a new light on many previous conclusions about the shock histories preserved in particular meteorites.
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Additional Information: | Ioannis Baziotis, Stamatios Xydous, and Angeliki Papoutsa received support for this research from ESF and the Greek State (call code EDBM103). Ioannis Baziotis thanks SYNTHESYS project AT-TAF-30 (www.synthesys.info; a European Union funded Integrated Activities grant), which provided travel, accommodation, and instrument costs while using SEM and EPMA instruments at NHMV. Stamatios Xydous greatly thanks the Barringer Family Fund for Meteorite Impact Research for its support. Analyses at Caltech were funded by NASA award 80NSSC18K0532. Razvan Caracas acknowledges support from the European Research Council under EU Horizon 2020 research and innovation program (grant agreement 681818–IMPACT), the Research Council of Norway, project number 223272, and access to supercomputing facilities via eDARI stl2816 grants, PRACE RA4947 grant, and Uninet2 NN9697K grant. The authors are grateful to Dan Topa for assistance with the EPMA analyses. We thank an anonymous reviewer for helpful review comments. We gratefully recognize the efforts by the associate editor Oliver Tschauner for his constructive and fruitful review comments, and editorial handling. | ||||||||||||||||
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Issue or Number: | 10 | ||||||||||||||||
DOI: | 10.2138/am-2022-8220 | ||||||||||||||||
Record Number: | CaltechAUTHORS:20221013-48863000.11 | ||||||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20221013-48863000.11 | ||||||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||
ID Code: | 117401 | ||||||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||||||
Deposited By: | Research Services Depository | ||||||||||||||||
Deposited On: | 18 Oct 2022 23:55 | ||||||||||||||||
Last Modified: | 18 Oct 2022 23:55 |
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