Articles | Volume 12, issue 12
Solid Earth, 12, 2717–2733, 2021
https://doi.org/10.5194/se-12-2717-2021
Solid Earth, 12, 2717–2733, 2021
https://doi.org/10.5194/se-12-2717-2021

Research article 14 Dec 2021

Research article | 14 Dec 2021

Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration

Nicola Piana Agostinetti and Giulia Sgattoni

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on se-2021-79', Cliff Thurber, 27 Jun 2021
    • AC1: 'Reply on RC1', Nicola Piana Agostinetti, 28 Sep 2021
  • RC2: 'Comment on se-2021-79', Jiaqi Li, 27 Jun 2021
    • AC2: 'Reply on RC2', Nicola Piana Agostinetti, 28 Sep 2021
  • RC3: 'Comment on se-2021-79', Anonymous Referee #3, 15 Jul 2021
    • AC3: 'Reply on RC3', Nicola Piana Agostinetti, 28 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Nicola Piana Agostinetti on behalf of the Authors (30 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (30 Sep 2021) by Caroline Beghein
RR by Cliff Thurber (07 Oct 2021)
RR by Jiaqi Li (12 Oct 2021)
ED: Publish subject to minor revisions (review by editor) (18 Oct 2021) by Caroline Beghein
AR by Nicola Piana Agostinetti on behalf of the Authors (20 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (20 Oct 2021) by Caroline Beghein
ED: Publish as is (20 Oct 2021) by CharLotte Krawczyk(Executive Editor)
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Short summary
One of the present-day challenges for geoscientists is tackling the big data revolution. An ever-growing amount of data needs to be processed and data are subjectively handled before using them to make inferences on the Earth’s interior. But imposing subjective decisions on the data might have strong influences on the final outputs. Here we present a totally novel and automatic application for screening the data and for defining data volumes that are consistent with physical hypotheses.