Eccentricity curve estimation from geological data using sinusoidal modeling

Zivanovic, Miroslav; Sinnesael, Matthias

Eccentricity curve estimation from geological data using sinusoidal modeling

dc.contributor.author	Zivanovic, Miroslav
dc.contributor.author	Sinnesael, Matthias
dc.contributor.department	Ingeniería Eléctrica, Electrónica y de Comunicación
dc.contributor.department	Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza
dc.date.accessioned	2025-02-19T09:03:50Z
dc.date.issued	2025-01-16
dc.date.updated	2025-02-19T08:56:22Z
dc.description.abstract	The estimation of eccentricity curves from geological data is important as it can be used as a basis for the construction of geological timescales, or making inferences of past orbital evolutions of the Solar System. Such estimation can be challenging for multiple reasons like age-depth distortions, non-linear responses to insolation and various other sources of perturbation. We present a novel approach to estimating the eccentricity waveform from geological time series by targeted modifications to the Astronomical Component Estimation model (ACEv.1). We show that analyzing individual precession components is highly beneficial in understanding the impact of perturbation on the estimator. It turns out that individual precession components are fairly stationary in noise-free environments. Although the presence of perturbation modifies the morphology of the corresponding waveforms, the root-mean-square of individual waveforms remains approximately unchanged. This finding allows for a simple adjustment of individual precession components, that renders them almost noise-free. Such an approach provides a high-fidelity precession waveform, from which we can estimate the eccentricity. Furthermore, we provide a benchmark study on both synthetic and real geological data, which assess the performance of the proposed method against three state-of-the-art methods from the literature. The modified ACEv.1 model - here named ACEv.2 - outperforms the reference methods in terms of goodness-of-fit to the known eccentricity solutions in the case of a known age-depth model and precession frequencies. Cyclostratigraphic studies often lack comparisons to other methods; therefore, we believe this study could enhance users' understanding of how the reference methods handle perturbations in geological signals.	en
dc.description.sponsorship	We thank Thomas Westerhold for constructive input on the ODP926 record. MS thanks the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Advanced Grant AstroGeo-885250 awarded to Jacques Laskar) for financial support. This work was made possible thanks to the support of CycloNet (Research Foundation Flanders (FWO); Grant W000522N).
dc.embargo.lift	2027-01-16
dc.embargo.terms	2027-01-16
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Zivanovic, M., Sinnesael, M. (2025) Eccentricity curve estimation from geological data using sinusoidal modeling. Computers and Geosciences, 196, 1-16. https://doi.org/10.1016/j.cageo.2025.105866
dc.identifier.doi	10.1016/j.cageo.2025.105866
dc.identifier.issn	0098-3004
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/53470
dc.language.iso	eng
dc.publisher	Elsevier
dc.relation.ispartof	Computers and Geosciences, 196, 1-16
dc.relation.projectID	info:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/885250/
dc.relation.publisherversion	https://doi.org/10.1016/j.cageo.2025.105866
dc.rights	© 2025 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0
dc.rights.accessRights	info:eu-repo/semantics/embargoedAccess
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Benchmark study	en
dc.subject	Eccentricity estimate	en
dc.subject	Model uncertainty	en
dc.subject	Narrow-band noise	en
dc.subject	Non-stationary sinusoidal modeling	en
dc.title	Eccentricity curve estimation from geological data using sinusoidal modeling	en
dc.type	info:eu-repo/semantics/article
dc.type.version	info:eu-repo/semantics/acceptedVersion
dspace.entity.type	Publication
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