JOURNAL ARTICLE

Unraveling the Magmatic-to-Carbothermal Processes in the Ba–Sr–REE Mineralization of the Sevattur Carbonatites, India.

  • Published In: Journal of Petrology, 2024, v. 65, n. 10. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Dey, Monojit; Chakrabarty, Aniket; Mitchell, Roger H; Bhattacharjee, Sourav; Pal, Supratim; Kynicky, Jindrich; Drüppel, Kirsten 3 of 3

Abstract

The article focuses on the petrogenesis and mineralogy of the Neoproterozoic Sevattur carbonatite complex in Tamil Nadu, India, emphasizing its diverse Ba–Sr–rare earth element (REE) mineralization formed during orthomagmatic to carbothermal stages. The complex comprises calcite carbonatite, silicate-poor and silicate-rich (banded and blue) dolomite carbonatites, with geochemical and isotopic evidence indicating a primary dolomitic magma derived by direct partial melting of a metasomatized mantle, rather than liquid immiscibility or genetic linkage with associated silicate rocks. The study details the sequential crystallization and alteration of minerals such as benstonite, carbocernaite, cordylite-(Ce), and various REE fluorocarbonates, controlled by evolving fluid compositions with varying activities of F⁻, CO₃²⁻, PO₄³⁻, SO₄²⁻, and H₂O. Silicate assemblages reflect magma evolution and assimilation of clinopyroxenite xenoliths, leading to distinct lithologies and mineral parageneses, while trace element data from calcite and ferroan dolomite support a predominantly magmatic origin with minor autometasomatic reworking.

Additional Information

  • Source:Journal of Petrology. 2024/10, Vol. 65, Issue 10, p1
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:0022-3530
  • DOI:10.1093/petrology/egae096
  • Accession Number:180625978
  • Copyright Statement:Copyright of Journal of Petrology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.