The Meteoritical Bulletin, No. 111

Gattacceca, J.; McCubbin, F. M.; Grossman, J. N.; Chabot, N. L.; D’Orazio, Massimo; Goodrich, C. A.; Greshake, A.; Groß, Juliane; Joy, Katherine H.; Komatsu, M.; Miao, Bingkui

doi:10.1111/maps.13995

Cited by 13 publications

(6 citation statements)

References 39 publications

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“…Samples of three Brazilian iron meteorites (Nova Olinda, Conceicao do Tocantins, and Augusto Pestana), which have recently been included in the Meteoritical Bulletin Database, were independently analyzed by the proposed LA-ICP-MS method and by solution ICP-MS after iron removal by column chromatography at the University of Alberta. , ICP-MS in solution mode was used for comparison with the proposed LA-ICP-MS. The results obtained by both methods are presented in Table .…”

Section: Resultsmentioning

confidence: 99%

“…Three Brazilian iron meteorites, Conceicao do Tocantins, Nova Olinda, and Augusto Pestana, featured in both Table 1 and Figure 1, underwent analysis using the newly validated procedure. The chemical composition of these meteorites had initially been determined through a conventional LA-ICP-MS procedure, whose results led to their chemical classification and subsequent inclusion in the Meteoritical Bulletin Database 26 (Table 1).…”

Section: ■ Experimental Sectionmentioning

confidence: 99%

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Elemental Characterization of Iron Meteorites Solely Based on LA-ICP-MS

Navarro,

Enzweiler,

Crósta

et al. 2024

ACS Earth Space Chem.

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Chemical composition is an essential aspect of classifying iron meteorites. In this study, we developed and validated a stand-alone procedure for the chemical characterization of iron meteorites using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS). The adopted innovative approach to the analytical sequence included new features in data reduction software, such as external calibration with more than one measurement standard, yield corrections, and normalization for matrix elements. The obtained results of As,

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Section: Resultsmentioning

confidence: 99%

Section: ■ Experimental Sectionmentioning

confidence: 99%

Elemental Characterization of Iron Meteorites Solely Based on LA-ICP-MS

Navarro,

Enzweiler,

Crósta

et al. 2024

ACS Earth Space Chem.

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“…The meteorites (Figure 10) were returned as frozen cargo from the field, via the BAS Halley and Rothera research stations, and then as frozen stow on a BAS research ship. he frozen samples were received for preliminary examination and curation at the University of Manchester, United Kingdom (MacArthur, Joy, Harvey, Jones, Evatt, Almeida, Malley, Greenwood, Findlay, & King, 2022) and are in the process of being classified (Gattacceca et al, 2022(Gattacceca et al, , 2023Metoritical Bulletin, 2023). The sample curation and initial analysis are discussed in Joy et al (2021), MacArthur, Joy, Harvey, Jones, Evatt, Almeida, Malley, Greenwood, Findlay, andKing (2022) and MacArthur, and Harvey et al (2023).…”

Section: Science Outcomes and Future Prospectsmentioning

confidence: 99%

Overview of the Lost Meteorites of Antarctica field campaigns

Joy,

Smedley,

MacArthur

et al. 2024

Meteorit & Planetary Scien

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The Lost Meteorites of Antarctica project was the first UK‐led Antarctic meteorite recovery expedition. The project has successfully confirmed two new high‐density meteorite stranding zones in the Hutichison Icefield and Outer Recovery Icefields areas and investigated the geology of three previously unvisited Antarctic nunataks (Turner Nunatak, Pillinger Nunatak, Halliday Nunatak). The project undertook meteorite searching on the ice surface via skidoo reconnaissance and systematic searching and developed a novel pulse induction metal detection system to search for englacial iron‐rich meteorites trapped within the upper one meter of ice. In total, 121 meteorites have been recovered from the ice surface searching activities, which are now curated in the United Kingdom at the Natural History Museum London and are available for scientific analysis.

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“…In Fig. 3, we use records from NASA and the meteoritical society (Gattacceca et al, 2023) to study the scaling of the meteorite landing mass.…”

Section: Meteorite Landing Impact Riskmentioning

confidence: 99%

Unified univariate extreme risk modeling through sub-sampling block maxima

Cheng,

Chen

2024

Preprint

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In this paper, we introduce a sub-sampling block maxima approach for constructing and characterizing univariate extreme risk measures.We investigate relationships between block size and block maxima statistics originating from both Gaussian and \gls{gpd}s. We characterize the scaling inherent in extreme risks through the analysis of the \gls{mpmr} and the \gls{evi}. We introduce the \gls{wlse} for \gls{evi}, employ the second moment for plateau finding in \gls{evi} and \gls{ei} estimation, and present the effect of \gls{ei} on the \gls{kld}.The applicability of this approach is demonstrated across a variety of real-world datasets, including meteorite landing mass, earthquake energy release, solar activity, and variations in Greenland's land snow cover and sea ice extent.Our method offers a practical and unified univariate extreme risk measure, capable of capturing a spectrum of extreme risks and accounting for temporal dependence. The approach stands out for its flexibility, sample efficiency, and limited reliance on subjective hyper-parameter tuning, making it a valuable tool in extreme risk modeling. MSC Classification: 62P12

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The Meteoritical Bulletin, No. 111

Cited by 13 publications

References 39 publications

Elemental Characterization of Iron Meteorites Solely Based on LA-ICP-MS

Elemental Characterization of Iron Meteorites Solely Based on LA-ICP-MS

Overview of the Lost Meteorites of Antarctica field campaigns

Unified univariate extreme risk modeling through sub-sampling block maxima

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