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1. QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity

Author

Huber, Johann, Hélénon, François, Kappel, Mathilde, Páez-Ubieta, Ignacio de Loyola, Puente, Santiago T., Gil, Pablo, Amar, Faïz Ben, and Doncieux, Stéphane

Subjects
Computer Science - Robotics, Computer Science - Machine Learning
Abstract

Recent advances in AI have led to significant results in robotic learning, but skills like grasping remain partially solved. Many recent works exploit synthetic grasping datasets to learn to grasp unknown objects. However, those datasets were generated using simple grasp sampling methods using priors. Recently, Quality-Diversity (QD) algorithms have been proven to make grasp sampling significantly more efficient. In this work, we extend QDG-6DoF, a QD framework for generating object-centric grasps, to scale up the production of synthetic grasping datasets. We propose a data augmentation method that combines the transformation of object meshes with transfer learning from previous grasping repertoires. The conducted experiments show that this approach reduces the number of required evaluations per discovered robust grasp by up to 20%. We used this approach to generate QDGset, a dataset of 6DoF grasp poses that contains about 3.5 and 4.5 times more grasps and objects, respectively, than the previous state-of-the-art. Our method allows anyone to easily generate data, eventually contributing to a large-scale collaborative dataset of synthetic grasps., Comment: 8 pages, 9 figures. Draft version

Published
2024

2. Speeding up 6-DoF Grasp Sampling with Quality-Diversity

Author

Huber, Johann, Hélénon, François, Kappel, Mathilde, Chelly, Elie, Khoramshahi, Mahdi, Amar, Faïz Ben, and Doncieux, Stéphane

Subjects
Computer Science - Robotics, Computer Science - Machine Learning
Abstract

Recent advances in AI have led to significant results in robotic learning, including natural language-conditioned planning and efficient optimization of controllers using generative models. However, the interaction data remains the bottleneck for generalization. Getting data for grasping is a critical challenge, as this skill is required to complete many manipulation tasks. Quality-Diversity (QD) algorithms optimize a set of solutions to get diverse, high-performing solutions to a given problem. This paper investigates how QD can be combined with priors to speed up the generation of diverse grasps poses in simulation compared to standard 6-DoF grasp sampling schemes. Experiments conducted on 4 grippers with 2-to-5 fingers on standard objects show that QD outperforms commonly used methods by a large margin. Further experiments show that QD optimization automatically finds some efficient priors that are usually hard coded. The deployment of generated grasps on a 2-finger gripper and an Allegro hand shows that the diversity produced maintains sim-to-real transferability. We believe these results to be a significant step toward the generation of large datasets that can lead to robust and generalizing robotic grasping policies., Comment: 7 pages, 8 figures. Preprint version

Published
2024

4. Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets

Author

Huber, Johann, Hélénon, François, Watrelot, Hippolyte, Amar, Faiz Ben, and Doncieux, Stéphane

Subjects
Computer Science - Robotics, Computer Science - Machine Learning
Abstract

Robotic grasping refers to making a robotic system pick an object by applying forces and torques on its surface. Many recent studies use data-driven approaches to address grasping, but the sparse reward nature of this task made the learning process challenging to bootstrap. To avoid constraining the operational space, an increasing number of works propose grasping datasets to learn from. But most of them are limited to simulations. The present paper investigates how automatically generated grasps can be exploited in the real world. More than 7000 reach-and-grasp trajectories have been generated with Quality-Diversity (QD) methods on 3 different arms and grippers, including parallel fingers and a dexterous hand, and tested in the real world. Conducted analysis on the collected measure shows correlations between several Domain Randomization-based quality criteria and sim-to-real transferability. Key challenges regarding the reality gap for grasping have been identified, stressing matters on which researchers on grasping should focus in the future. A QD approach has finally been proposed for making grasps more robust to domain randomization, resulting in a transfer ratio of 84% on the Franka Research 3 arm., Comment: 6 pages, 7 figures, draft version

Published
2023

5. Toward a Plug-and-Play Vision-Based Grasping Module for Robotics

Author

Hélénon, François, Huber, Johann, Amar, Faïz Ben, and Doncieux, Stéphane

Subjects
Computer Science - Robotics, Computer Science - Machine Learning
Abstract

Despite recent advancements in AI for robotics, grasping remains a partially solved challenge, hindered by the lack of benchmarks and reproducibility constraints. This paper introduces a vision-based grasping framework that can easily be transferred across multiple manipulators. Leveraging Quality-Diversity (QD) algorithms, the framework generates diverse repertoires of open-loop grasping trajectories, enhancing adaptability while maintaining a diversity of grasps. This framework addresses two main issues: the lack of an off-the-shelf vision module for detecting object pose and the generalization of QD trajectories to the whole robot operational space. The proposed solution combines multiple vision modules for 6DoF object detection and tracking while rigidly transforming QD-generated trajectories into the object frame. Experiments on a Franka Research 3 arm and a UR5 arm with a SIH Schunk hand demonstrate comparable performance when the real scene aligns with the simulation used for grasp generation. This work represents a significant stride toward building a reliable vision-based grasping module transferable to new platforms, while being adaptable to diverse scenarios without further training iterations., Comment: 6 pages, 9 figures

Published
2023

7. E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories

Author

Huber, Johann, Sane, Oumar, Coninx, Alex, Amar, Faiz Ben, and Doncieux, Stephane

Subjects
Computer Science - Robotics, Computer Science - Machine Learning
Abstract

Robotics grasping refers to the task of making a robotic system pick an object by applying forces and torques on its surface. Despite the recent advances in data-driven approaches, grasping remains an unsolved problem. Most of the works on this task are relying on priors and heavy constraints to avoid the exploration problem. Novelty Search (NS) refers to evolutionary algorithms that replace selection of best performing individuals with selection of the most novel ones. Such methods have already shown promising results on hard exploration problems. In this work, we introduce a new NS-based method that can generate large datasets of grasping trajectories in a platform-agnostic manner. Inspired by the hierarchical learning paradigm, our method decouples approach and prehension to make the behavioral space smoother. Experiments conducted on 3 different robot-gripper setups and on several standard objects shows that our method outperforms state-of-the-art for generating diverse repertoire of grasping trajectories, getting a higher successful run ratio, as well as a better diversity for both approach and prehension. Some of the generated solutions have been successfully deployed on a real robot, showing the exploitability of the obtained repertoires., Comment: 7 pages, 6 figures. Preprint version

Published
2022

23. Crustal Thinning From Orogen to Back‐Arc Basin: The Structure of the Pannonian Basin Region Revealed by P ‐to‐ S Converted Seismic Waves

Author

Kalmar, Daniel, Hetényi, György, Balazs, Attila, Bondar, Istvan, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bianchi, Irene, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, and Žlebčíková, Helena

Subjects
010504 meteorology & atmospheric sciences, Thinning, Pannonian basin, 15. Life on land, Geodynamics, 010502 geochemistry & geophysics, 01 natural sciences, Seismic wave, Geophysics, 13. Climate action, Space and Planetary Science, Geochemistry and Petrology, Back-arc basin, Earth and Planetary Sciences (miscellaneous), Geology, Seismology, 0105 earth and related environmental sciences
Abstract

We present the results of P-to-S receiver function analysis to improve the 3D image of the sedimentary layer, the upper crust, and lower crust in the Pannonian Basin area. The Pannonian Basin hosts deep sedimentary depocentres superimposed on a complex basement structure and it is surrounded by mountain belts. We processed waveforms from 221 three-component broadband seismological stations. As a result of the dense station coverage, we were able to achieve so far unprecedented spatial resolution in determining the velocity structure of the crust. We applied a three-fold quality control process; the first two being applied to the observed waveforms and the third to the calculated radial receiver functions. This work is the first comprehensive receiver function study of the entire region. To prepare the inversions, we performed station-wise H-Vp/Vs grid search, as well as Common Conversion Point migration. Our main focus was then the S-wave velocity structure of the area, which we determined by the Neighborhood Algorithm inversion method at each station, where data were sub-divided into back-azimuthal bundles based on similar Ps delay times. The 1D, nonlinear inversions provided the depth of the discontinuities, shear-wave velocities and Vp/Vs ratios of each layer per bundle, and we calculated uncertainty values for each of these parameters. We then developed a 3D interpolation method based on natural neighbor interpolation to obtain the 3D crustal structure from the local inversion results. We present the sedimentary thickness map, the first Conrad depth map and an improved, detailed Moho map, as well as the first upper and lower crustal thickness maps obtained from receiver function analysis. The velocity jump across the Conrad discontinuity is estimated at less than 0.2 km/s over most of the investigated area. We also compare the new Moho map from our approach to simple grid search results and prior knowledge from other techniques. Our Moho depth map presents local variations in the investigated area: the crust-mantle boundary is at 20–26 km beneath the sedimentary basins, while it is situated deeper below the Apuseni Mountains, Transdanubian and North Hungarian Ranges (28–33 km), and it is the deepest beneath the Eastern Alps and the Southern Carpathians (40–45 km). These values reflect well the Neogene evolution of the region, such as crustal thinning of the Pannonian Basin and orogenic thickening in the neighboring mountain belts. ISSN:2169-9313 ISSN:0148-0227 ISSN:2169-9356

Published
2021
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24. Seismicity and seismotectonics of the Albstadt Shear Zone in the northern Alpine foreland

Author

Mader, Sarah, Ritter, Joachim R. R., Reicherter, Klaus, Bokelmann, Götz, Hetényi, György, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, and Žlebčíková, Helena

Abstract

The region around the town Albstadt, SW Germany, was struck by four damaging earthquakes with magnitudes greater than 5 during the last century. These earthquakes occurred along the Albstadt Shear Zone (ASZ), which is characterized by more or less continuous microseismicity. As there are no visible surface ruptures that may be connected to the fault zone, we study its characteristics by its seismicity distribution and faulting pattern. We use the earthquake data of the state earthquake service of Baden-Württemberg from 2011 to 2018 and complement it with additional phase picks beginning in 2016 at the AlpArray and StressTransfer seismic networks in the vicinity of the ASZ. This extended data set is used to determine new minimum 1-D seismic vp and vs velocity models and corresponding station delay times for earthquake relocation. Fault plane solutions are determined for selected events, and the principal stress directions are derived. The minimum 1-D seismic velocity models have a simple and stable layering with increasing velocity with depth in the upper crust. The corresponding station delay times can be explained well by the lateral depth variation of the crystalline basement. The relocated events align about north–south with most of the seismic activity between the towns of Tübingen and Albstadt, east of the 9∘ E meridian. The events can be separated into several subclusters that indicate a segmentation of the ASZ. The majority of the 25 determined fault plane solutions feature an NNE–SSW strike but NNW–SSE-striking fault planes are also observed. The main fault plane associated with the ASZ dips steeply, and the rake indicates mainly sinistral strike-slip, but we also find minor components of normal and reverse faulting. The determined direction of the maximum horizontal stress of 140–149∘ is in good agreement with prior studies. Down to ca. 7–8 km depth SHmax is bigger than SV; below this depth, SV is the main stress component. The direction of SHmax indicates that the stress field in the area of the ASZ is mainly generated by the regional plate driving forces and the Alpine topography.

Published
2021
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25. Transversely isotropic lower crust of Variscan central Europe imaged by ambient noise tomography of the Bohemian Massif

Author

Kvapil, J., Plomerova, J., Kampfova Exnerova, H., Babuska, V., Hetenyi, G., Abreu , Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, and Žlebčíková, Helena

Subjects
geography, QE1-996.5, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Subduction, Pluton, Stratigraphy, Paleontology, Soil Science, Crust, Geology, Massif, 010502 geochemistry & geophysics, 01 natural sciences, Mantle (geology), QE640-699, Geophysics, Shear (geology), Geochemistry and Petrology, Lithosphere, Passive seismic, Petrology, 0105 earth and related environmental sciences, Earth-Surface Processes
Abstract

The recent development of ambient noise tomography, in combination with the increasing number of permanent seismic stations and dense networks of temporary stations operated during passive seismic experiments, provides a unique opportunity to build the first high-resolution 3-D shear wave velocity (vS) model of the entire crust of the Bohemian Massif (BM). This paper provides a regional-scale model of velocity distribution in the BM crust. The velocity model with a cell size of 22 km is built using a conventional two-step inversion approach from Rayleigh wave group velocity dispersion curves measured at more than 400 stations. The shear velocities within the upper crust of the BM are ∼0.2 km s−1 higher than those in its surroundings. The highest crustal velocities appear in its southern part, the Moldanubian unit. The Cadomian part of the region has a thinner crust, whereas the crust assembled, or tectonically transformed in the Variscan period, is thicker. The sharp Moho discontinuity preserves traces of its dynamic development expressed in remnants of Variscan subductions imprinted in bands of crustal thickening. A significant feature of the presented model is the velocity-drop interface (VDI) modelled in the lower part of the crust. We explain this feature by the anisotropic fabric of the lower crust, which is characterised as vertical transverse isotropy with the low velocity being the symmetry axis. The VDI is often interrupted around the boundaries of the crustal units, usually above locally increased velocities in the lowermost crust. Due to the north-west–south-east shortening of the crust and the late-Variscan strike-slip movements along the north-east–south-west oriented sutures preserved in the BM lithosphere, the anisotropic fabric of the lower crust was partly or fully erased along the boundaries of original microplates. These weakened zones accompanied by a velocity increase above the Moho (which indicate an emplacement of mantle rocks into the lower crust) can represent channels through which portions of subducted and later molten rocks have percolated upwards providing magma to subsequently form granitoid plutons.

Published
2021

26. High-Resolution Crustal S-wave Velocity Model and Moho Geometry Beneath the Southeastern Alps: New Insights From the SWATH-D Experiment

Author

Sadeghi-Bagherabadi, Amir, Vuan, Alessandro, Aoudia, Abdelkrim, Parolai, Stefano, Hetényi, György, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, Žlebčíková, Helena, Hein , Gerrit, Bianchi, Irene, Sadeghi-Bagherabadi, A, Vuan, A, Aoudia, A, and Parolai, S

Subjects
Friuli plain, external Dinaride, 010504 meteorology & atmospheric sciences, Eastern Alps, Outcrop, external Dinarides, Po plain, Fault (geology), 010502 geochemistry & geophysics, 01 natural sciences, Eastern Alp, ambient noise tomography, Moho, basement, phase velocity, Dispersion (water waves), lcsh:Science, 0105 earth and related environmental sciences, geography, geography.geographical_feature_category, Crust, Basement (geology), 13. Climate action, Surface wave, Magmatism, General Earth and Planetary Sciences, lcsh:Q, Phase velocity, Geology, Seismology
Abstract

We compiled a dataset of continuous recordings from the temporary and permanent seismic networks to compute the high-resolution 3D S-wave velocity model of the Southeastern Alps, the western part of the external Dinarides, and the Friuli and Venetian plains through ambient noise tomography. Part of the dataset is recorded by the SWATH-D temporary network and permanent networks in Italy, Austria, Slovenia and Croatia between October 2017 and July 2018. We computed 4050 vertical component cross-correlations to obtain the empirical Rayleigh wave Green’s functions. The dataset is complemented by adopting 1804 high-quality correlograms from other studies. The fast-marching method for 2D surface wave tomography is applied to the phase velocity dispersion curves in the 2–30 s period band. The resulting local dispersion curves are inverted for 1D S-wave velocity profiles using the non-perturbational and perturbational inversion methods. We assembled the 1D S-wave velocity profiles into a pseudo-3D S-wave velocity model from the surface down to 60 km depth. A range of iso-velocities, representing the crystalline basement depth and the crustal thickness, are determined. We found the average depth over the 2.8–3.0 and 4.1–4.3 km/s iso-velocity ranges to be reasonable representations of the crystalline basement and Moho depths, respectively. The basement depth map shows that the shallower crystalline basement beneath the Schio-Vicenza fault highlights the boundary between the deeper Venetian and Friuli plains to the east and the Po-plain to the west. The estimated Moho depth map displays a thickened crust along the boundary between the Friuli plain and the external Dinarides. It also reveals a N-S narrow corridor of crustal thinning to the east of the junction of Giudicarie and Periadriatic lines, which was not reported by other seismic imaging studies. This corridor of shallower Moho is located beneath the surface outcrop of the Permian magmatic rocks and seems to be connected to the continuation of the Permian magmatism to the deep-seated crust. We compared the shallow crustal velocities and the hypocentral location of the earthquakes in the Southern foothills of the Alps. It revealed that the seismicity mainly occurs in the S-wave velocity range between ∼3.1 and ∼3.6 km/s.

Published
2021
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27. Evidence for radial anisotropy in the lower crust of the Apennines from Bayesian ambient noise tomography in Europe

Author

Alder, C., Debayle, E., Bodin, T., Paul, A., Stehly, L., Pedersen, H., Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Abreu, Rafael, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, Žlebčíková, Helena, Hein, Gerrit, Bianchi, Irene, Bokelmann, Götz, Hetényi, György, Laboratoire de Géologie de Lyon - Terre, Planètes, Environnement [Lyon] (LGL-TPE), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut des Sciences de la Terre (ISTerre), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel-Université Grenoble Alpes (UGA), ANR-15-CE31-0015,AlpArray-FR,Voir et comprendre les Alpes en 3D, de la croûte au manteau(2015), Université de Lyon, Laboratoire de Géologie de Lyon - Terre, Planètes, Environnement (LGL-TPE), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-École normale supérieure - Lyon (ENS Lyon)

Subjects
Seismic anisotropy, 010504 meteorology & atmospheric sciences, Seismic noise, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Bayesian probability, Ambient noise level, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, 010502 geochemistry & geophysics, 01 natural sciences, Physics::Geophysics, Geochemistry and Petrology, Anisotropy, 0105 earth and related environmental sciences, Seismic tomography, Crust, Europe, Geophysics, 13. Climate action, Tomography, Astrophysics::Earth and Planetary Astrophysics, Surface waves and free oscillations, Seismology, Geology
Abstract

SUMMARYProbing seismic anisotropy of the lithosphere provides valuable clues on the fabric of rocks. We present a 3-D probabilistic model of shear wave velocity and radial anisotropy of the crust and uppermost mantle of Europe, focusing on the mountain belts of the Alps and Apennines. The model is built from Love and Rayleigh dispersion curves in the period range 5–149 s. Data are extracted from seismic ambient noise recorded at 1521 broad-band stations, including the AlpArray network. The dispersion curves are first combined in a linearized least squares inversion to obtain 2-D maps of group velocity at each period. Love and Rayleigh maps are then jointly inverted at depth for shear wave velocity and radial anisotropy using a Bayesian Monte Carlo scheme that accounts for the trade-off between radial anisotropy and horizontal layering. The isotropic part of our model is consistent with previous studies. However, our anisotropy maps differ from previous large scale studies that suggested the presence of significant radial anisotropy everywhere in the European crust and shallow upper mantle. We observe instead that radial anisotropy is mostly localized beneath the Apennines while most of the remaining European crust and shallow upper mantle is isotropic. We attribute this difference to trade-offs between radial anisotropy and thin (hectometric) layering in previous studies based on least-squares inversions and long period data (>30 s). In contrast, our approach involves a massive data set of short period measurements and a Bayesian inversion that accounts for thin layering. The positive radial anisotropy (VSH > VSV) observed in the lower crust of the Apennines cannot result from thin layering. We rather attribute it to ductile horizontal flow in response to the recent and present-day extension in the region.

Published
2021
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28. Shear wave splitting in the Alpine region

Author

Hein, Gerrit, Kolínský, Petr, Bianchi, Irene, Bokelmann, Götz, Hetényi, György, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, and Žlebčíková, Helena

Subjects
Europe, Body waves, Geophysics, Dynamics of lithosphere and mantle, 010504 meteorology & atmospheric sciences, Geochemistry and Petrology, Shear wave splitting, Geometry, Seismic anisotropy, 010502 geochemistry & geophysics, 01 natural sciences, Geology, 0105 earth and related environmental sciences
Abstract

SUMMARYTo constrain seismic anisotropy under and around the Alps in Europe, we study SKS shear wave splitting from the region densely covered by the AlpArray seismic network. We apply a technique based on measuring the splitting intensity, constraining well both the fast orientation and the splitting delay. Four years of teleseismic earthquake data were processed, from 723 temporary and permanent broad-band stations of the AlpArray deployment including ocean-bottom seismometers, providing a spatial coverage that is unprecedented. The technique is applied automatically (without human intervention), and it thus provides a reproducible image of anisotropic structure in and around the Alpine region. As in earlier studies, we observe a coherent rotation of fast axes in the western part of the Alpine chain, and a region of homogeneous fast orientation in the Central Alps. The spatial variation of splitting delay times is particularly interesting though. On one hand, there is a clear positive correlation with Alpine topography, suggesting that part of the seismic anisotropy (deformation) is caused by the Alpine orogeny. On the other hand, anisotropic strength around the mountain chain shows a distinct contrast between the Western and Eastern Alps. This difference is best explained by the more active mantle flow around the Western Alps. The new observational constraints, especially the splitting delay, provide new information on Alpine geodynamics.

Published
2021
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29. Relocation of earthquakes in the southern and eastern Alps (Austria, Italy) recorded by the dense, temporary SWATH-D network using a Markov chain Monte Carlo inversion

Author

Jozi Najafabadi, A., Haberland, Christian, Ryberg, Trond, Verwater, V. F., Le Breton, E., Handy, M. R., Weber, Michael, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, Žlebčíková, Helena, Abreu, Rafael, Allegretti, Ivo, Al-Halbouni, Djamil, Jozi Najafabadi, A., Haberland, Christian, Ryberg, Trond, Verwater, V. F., Le Breton, E., Handy, M. R., Weber, Michael, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, Žlebčíková, Helena, Abreu, Rafael, Allegretti, Ivo, and Al-Halbouni, Djamil

Abstract

In this study, we analyzed a large seismological dataset from temporary and permanent networks in the southern and eastern Alps to establish high-precision hypocenters and 1-D VP and VP/VS models. The waveform data of a subset of local earthquakes with magnitudes in the range of 1–4.2 ML were recorded by the dense, temporary SWATH-D network and selected stations of the AlpArray network between September 2017 and the end of 2018. The first arrival times of P and S waves of earthquakes are determined by a semi-automatic procedure. We applied a Markov chain Monte Carlo inversion method to simultaneously calculate robust hypocenters, a 1-D velocity model, and station corrections without prior assumptions, such as initial velocity models or earthquake locations. A further advantage of this method is the derivation of the model parameter uncertainties and noise levels of the data. The precision estimates of the localization procedure is checked by inverting a synthetic travel time dataset from a complex 3-D velocity model and by using the real stations and earthquakes geometry. The location accuracy is further investigated by a quarry blast test. The average uncertainties of the locations of the earthquakes are below 500 m in their epicenter and ∼ 1.7 km in depth. The earthquake distribution reveals seismicity in the upper crust (0–20 km), which is characterized by pronounced clusters along the Alpine frontal thrust, e.g., the Friuli-Venetia (FV) region, the Giudicarie–Lessini (GL) and Schio-Vicenza domains, the Austroalpine nappes, and the Inntal area. Some seismicity also occurs along the Periadriatic Fault. The general pattern of seismicity reflects head-on convergence of the Adriatic indenter with the Alpine orogenic crust. The seismicity in the FV and GL regions is deeper than the modeled frontal thrusts, which we interpret as indication for southward propagation of the southern Alpine deformation front (blind thrusts).

Published
2021
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30. Shear-wave velocity structure beneath the Dinarides from the inversion of Rayleigh-wave dispersion

Author

Belinic, Tena, Kolínský, Petr, Stipčević, Josip, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bianchi, Irene, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, Žlebčíková, Helena, Belinic, Tena, Kolínský, Petr, Stipčević, Josip, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bianchi, Irene, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, and Žlebčíková, Helena

Abstract

Highlights • Rayleigh-wave phase velocity in the wider Dinarides region using the two-station method. • Uppermost mantle shear-wave velocity model of the Dinarides-Adriatic Sea region. • Velocity model reveals a robust high-velocity anomaly present under the whole Dinarides. • High-velocity anomaly reaches depth of 160 km in the northern Dinarides to more than 200 km under southern Dinarides. • New structural model incorporating delamination as one of the processes controlling the continental collision in the Dinarides. The interaction between the Adriatic microplate (Adria) and Eurasia is the main driving factor in the central Mediterranean tectonics. Their interplay has shaped the geodynamics of the whole region and formed several mountain belts including Alps, Dinarides and Apennines. Among these, Dinarides are the least investigated and little is known about the underlying geodynamic processes. There are numerous open questions about the current state of interaction between Adria and Eurasia under the Dinaric domain. One of the most interesting is the nature of lithospheric underthrusting of Adriatic plate, e.g. length of the slab or varying slab disposition along the orogen. Previous investigations have found a low-velocity zone in the uppermost mantle under the northern-central Dinarides which was interpreted as a slab gap. Conversely, several newer studies have indicated the presence of the continuous slab under the Dinarides with no trace of the low velocity zone. Thus, to investigate the Dinaric mantle structure further, we use regional-to-teleseismic surface-wave records from 98 seismic stations in the wider Dinarides region to create a 3D shear-wave velocity model. More precisely, a two-station method is used to extract Rayleigh-wave phase velocity while tomography and 1D inversion of the phase velocity are employed to map the depth dependent shear-wave velocity. Resulting velocity model reveals a robust high-velocity anomaly present under the whole Dinar

Published
2021
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32. Molecular Mechanisms of Fetal Tendon Regeneration Versus Adult Fibrous Repair

Author

Ribitsch, Iris, primary, Bileck, Andrea, additional, Aldoshin, Alexander D., additional, Kańduła, Maciej M., additional, Mayer, Rupert L., additional, Egerbacher, Monika, additional, Gabner, Simone, additional, Auer, Ulrike, additional, Gültekin, Sinan, additional, Huber, Johann, additional, Kreil, David P., additional, Gerner, Christopher, additional, and Jenner, Florien, additional

Published
2021
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35. Relocation of earthquakes in the Southern and Eastern Alps (Austria, Italy) recorded by the dense, temporary SWATH–D network using a Markov chain Monte Carlo inversion

Author

Jozi Najafabadi, A., Haberland, Christian, Ryberg, Trond, Verwater, V. F., Le Breton, E., Handy, M. R., Weber, Michael, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, Žlebčíková, Helena, Abreu, Rafael, Allegretti, Ivo, and Al-Halbouni, Djamil

Subjects
010504 meteorology & atmospheric sciences, Stratigraphy, Inversion (geology), Soil Science, Inverse transform sampling, Fault (geology), Induced seismicity, 010502 geochemistry & geophysics, 01 natural sciences, relocation, Nappe, symbols.namesake, Geochemistry and Petrology, 500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften, earthquakes, 0105 earth and related environmental sciences, Earth-Surface Processes, QE1-996.5, geography, geography.geographical_feature_category, Alps, Paleontology, Geology, Crust, Markov chain Monte Carlo, QE640-699, Geophysics, Epicenter, symbols, Seismology
Abstract

In this study, we analyzed a large seismological dataset from temporary and permanent networks in the southern and eastern Alps to establish high-precision hypocenters and 1-D VP and VP/VS models. The waveform data of a subset of local earthquakes with magnitudes in the range of 1–4.2 ML were recorded by the dense, temporary SWATH-D network and selected stations of the AlpArray network between September 2017 and the end of 2018. The first arrival times of P and S waves of earthquakes are determined by a semi-automatic procedure. We applied a Markov chain Monte Carlo inversion method to simultaneously calculate robust hypocenters, a 1-D velocity model, and station corrections without prior assumptions, such as initial velocity models or earthquake locations. A further advantage of this method is the derivation of the model parameter uncertainties and noise levels of the data. The precision estimates of the localization procedure is checked by inverting a synthetic travel time dataset from a complex 3-D velocity model and by using the real stations and earthquakes geometry. The location accuracy is further investigated by a quarry blast test. The average uncertainties of the locations of the earthquakes are below 500 m in their epicenter and ∼ 1.7 km in depth. The earthquake distribution reveals seismicity in the upper crust (0–20 km), which is characterized by pronounced clusters along the Alpine frontal thrust, e.g., the Friuli-Venetia (FV) region, the Giudicarie–Lessini (GL) and Schio-Vicenza domains, the Austroalpine nappes, and the Inntal area. Some seismicity also occurs along the Periadriatic Fault. The general pattern of seismicity reflects head-on convergence of the Adriatic indenter with the Alpine orogenic crust. The seismicity in the FV and GL regions is deeper than the modeled frontal thrusts, which we interpret as indication for southward propagation of the southern Alpine deformation front (blind thrusts).

Published
2020

36. Johannis Jacobi Scheuchzeri, Tigurini, medicinae doctoris ... Herbarium diluvianum

Author

Scheuchzer, Johann Jakob, 1672-1733, Füssli, Johann Melchior, 1677-1736, Huber, Johann Heinrich, 1677-1712, Nutting, Joseph, Aa, Pieter van der, 1659-1733, Smithsonian Libraries, Scheuchzer, Johann Jakob, 1672-1733, Füssli, Johann Melchior, 1677-1736, Huber, Johann Heinrich, 1677-1712, Nutting, Joseph, and Aa, Pieter van der, 1659-1733

Subjects
Deluge, Early works to 1800, Paleobotany, Plants, Fossil
Published
1723

37. Johannis Jacobi Scheuchzeri, Tigurini, medicinae doctoris ... Herbarium diluvianum

Author

Scheuchzer, Johann Jakob, 1672-1733, Füssli, Johann Melchior, 1677-1736, Huber, Johann Heinrich, 1677-1712, Nutting, Joseph, Aa, Pieter van der, 1659-1733, Smithsonian Libraries and Archives, Scheuchzer, Johann Jakob, 1672-1733, Füssli, Johann Melchior, 1677-1736, Huber, Johann Heinrich, 1677-1712, Nutting, Joseph, and Aa, Pieter van der, 1659-1733

Subjects
Deluge, Early works to 1800, Paleobotany, Plants, Fossil

38. Encouraging medical students to become surgeons? Impact of psychological and surgical factors on career choice at medical school

Author

Brügge, Sandra, Günther, Veronika, Cascorbi, Ingolf, Maass, Nicolai, Ruchay, Zino, Fischer, Martin R., Huber, Johanna, and Alkatout, Ibrahim

Subjects
post-graduate medical training, interest in surgery, self-efficacy expectations, resilience, stress, Special aspects of education, LC8-6691, Medicine
Abstract

Aim: Training decisions are viewed as a problem by the majority of medical students.In the present study we compared sociodemographic and psychological characteristics of students who are interested in surgical training to those who preferred a non-surgical specialty. Furthermore, we examined whether students who wish to be trained as surgeons performed better than their non-surgical counterparts in a course designed to acquire skills in minimally invasive surgery.Method: From October 2020 to January 2021 we performed a cross-sectional survey among 116 medical students prior to their year of practical training at Christian-Albrechts University in Kiel. Based on their intended field of specialization, the students were divided into a non-surgical and a surgical group. Sociodemographic and psychological characteristics such as self-efficacy expectations, resilience and stress perception were evaluated and compared between groups. Simultaneously, we compared their surgical performance in two laparoscopic exercises and their self-assessment as surgeons. Statistical differences between the training groups were determined by the Mann-Whitney U test or Pearson’s Chi square test. Results: Ninety-two students participated in the study, of whom 64.1% intended to train in a non-surgical specialty and 35.9% in a surgical specialty. Students who wished to be trained as surgeons had higher general self-efficacy expectations (p

Published
2024
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40. Arrival angles of teleseismic fundamental mode Rayleigh waves across the AlpArray

Author

Kolinsky, Petr, Bokelmann, Götz, Hetenyi, Gyorgy, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besancon, Simon, Bes De Berc, Maxime, Bokelmann, Goetz, Brunel, Didier, Capello, Marco, Carman, Martina, Cavaliere, Adriano, Cheze, Jerome, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, Grawford, Wayne C., Cristiano, Luigia, Czifra, Tibor, D'Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasovic, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cecile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Graczer, Zoltan, Groeschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jaric, Dejan, Jedlicka, Petr, Jia, Yan, Jund, Helene, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kuhne, Lothar, Kuk, Kreso, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Metral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Pequegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerova, Jaroslava, Pondrelli, Silvia, Prevolnik, Snjezan, Racine, Roman, Regnier, Marc, Reiss, Miriam, Ritter, Joachim, Rumpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Sipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipcevic, Josip, Strollo, Angelo, Sule, Balint, Szanyi, Gyongyver, Szucs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Ludek, Voigt, Rene, Wassermann, Joachim, Weber, Zoltan, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix, Wolyniec, David, Zieke, Thomas, Zivcic, Mladen, Zlebcikova, Helena, Institut für Meteorologie und Geophysik [Wien] (IMGW), Universität Wien, Austrian Science Fund (FWF)through project P 26391–AlpArray Austria and P 30707–AlpArrayAustria 2. The Python Toolbox ObsPy by Beyreuther et al. (2010)was used for data pre-processing. Maps were plotted using GenericMapping Tools by Wessel et al. (2013)., and University of Vienna [Vienna]

Subjects
Beamforming, Wave propagation, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Earth structure, engineering.material, 010502 geochemistry & geophysics, 01 natural sciences, symbols.namesake, Geochemistry and Petrology, Time-series analysis, Wave scattering and diffraction, Rayleigh wave, 0105 earth and related environmental sciences, Anomaly (natural sciences), Geodesy, Europe, Geophysics, Phase correlation, symbols, engineering, Structure of the Earth, Surface waves and free oscillations, Geology, Earthquake location, Gaussian beam
Abstract

International audience; The dense AlpArray network allows studying seismic wave propagation with high spatial resolution. Here we introduce an array approach to measure arrival angles of teleseismic Rayleigh waves. The approach combines the advantages of phase correlation as in the two-station method with array beamforming to obtain the phase-velocity vector. 20 earthquakes from the first two years of the AlpArray project are selected, and spatial patterns of arrival-angle deviations across the AlpArray are shown in maps, depending on period and earthquake location. The cause of these intriguing spatial patterns is discussed. A simple wave-propagation modelling example using an isolated anomaly and a Gaussian beam solution suggests that much of the complexity can be explained as a result of wave interference after passing a structural anomaly along the wave paths. This indicates that arrival-angle information constitutes useful additional information on the Earth structure, beyond what is currently used in inversions.

Published
2019
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41. Shear-wave velocity structure beneath the Dinarides from the inversion of Rayleigh-wave dispersion

Author

Belinic, Tena, Kolínský, Petr, Stipčević, Josip, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bés de Berc, Maxime, Bianchi, Irene, Bokelmann, Götz, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chéze, Jérôme, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, C. Crawford, Wayne, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cécile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Gráczer, Zoltán, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Herak, Marijan, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jia, Yan, Jund, Hélène, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Métral, Laurent, Molinari, Irene, Moretti, Milena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Péquegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Šipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Wassermann, Joachim, Wéber, Zoltán, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Živčić, Mladen, and Žlebčíková, Helena

Subjects
010504 meteorology & atmospheric sciences, Geodynamics, 010502 geochemistry & geophysics, 01 natural sciences, Mantle (geology), symbols.namesake, Tectonics, Geophysics, 13. Climate action, Space and Planetary Science, Geochemistry and Petrology, Lithosphere, Earth and Planetary Sciences (miscellaneous), symbols, Slab, Lithoshpere-asthenosphere boundary, Surface waves, Dinarides, 14. Life underwater, Low-velocity zone, Phase velocity, Rayleigh wave, surface waves, Dinarides, collision, lithosphere, Geology, Seismology, 0105 earth and related environmental sciences
Abstract

Highlights • Rayleigh-wave phase velocity in the wider Dinarides region using the two-station method. • Uppermost mantle shear-wave velocity model of the Dinarides-Adriatic Sea region. • Velocity model reveals a robust high-velocity anomaly present under the whole Dinarides. • High-velocity anomaly reaches depth of 160 km in the northern Dinarides to more than 200 km under southern Dinarides. • New structural model incorporating delamination as one of the processes controlling the continental collision in the Dinarides. The interaction between the Adriatic microplate (Adria) and Eurasia is the main driving factor in the central Mediterranean tectonics. Their interplay has shaped the geodynamics of the whole region and formed several mountain belts including Alps, Dinarides and Apennines. Among these, Dinarides are the least investigated and little is known about the underlying geodynamic processes. There are numerous open questions about the current state of interaction between Adria and Eurasia under the Dinaric domain. One of the most interesting is the nature of lithospheric underthrusting of Adriatic plate, e.g. length of the slab or varying slab disposition along the orogen. Previous investigations have found a low-velocity zone in the uppermost mantle under the northern-central Dinarides which was interpreted as a slab gap. Conversely, several newer studies have indicated the presence of the continuous slab under the Dinarides with no trace of the low velocity zone. Thus, to investigate the Dinaric mantle structure further, we use regional-to-teleseismic surface-wave records from 98 seismic stations in the wider Dinarides region to create a 3D shear-wave velocity model. More precisely, a two-station method is used to extract Rayleigh-wave phase velocity while tomography and 1D inversion of the phase velocity are employed to map the depth dependent shear-wave velocity. Resulting velocity model reveals a robust high-velocity anomaly present under the whole Dinarides, reaching the depths of 160 km in the north to more than 200 km under southern Dinarides. These results do not agree with most of the previous investigations and show continuous underthrusting of the Adriatic lithosphere under Europe along the whole Dinaric region. The geometry of the down-going slab varies from the deeper slab in the north and south to the shallower underthrusting in the center. On-top of both north and south slabs there is a low-velocity wedge indicating lithospheric delamination which could explain the 200 km deep high-velocity body existing under the southern Dinarides.

Published
2019

43. The AlpArray seismic network

Author

Hetenyi, Gyorgy, Molinari, Irene, Clinton, John, Bokelmann, Gotz, Bondar, Istvan, Crawford, Wayne C., Dessa, Jean-Xavier, Doubre, Cecile, Friederich, Wolfgang, Fuchs, Florian, Giardini, Domenico, Graczer, Zoltan, Handy, Mark R., Herak, Marijan, Jia, Yan, Kissling, Edi, Kopp, Heidrun, Korn, Michael, Margheriti, Lucia, Meier, Thomas, Mucciarelli, Marco, Paul, Anne, Pesaresi, Damiano, Piromallo, Claudia, Plenefisch, Thomas, Plomerova, Jaroslava, Ritter, Joachim, Rumpker, Georg, Sipka, Vesna, Spallarossa, Daniele, Thomas, Christine, Tilmann, Frederik (Prof.), Wassermann, Joachim, Weber, Michael (Prof. Dr.), Weber, Zoltan, Wesztergom, Viktor, Zivcic, Mladen, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besancon, Simon, de Berc, Maxime Bes, Brunel, Didier, Capello, Marco, Carman, Martina, Cavaliere, Adriano, Cheze, Jerome, Chiarabba, Claudio, Cougoulat, Glenn, Cristiano, Luigia, Czifra, Tibor, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasovic, Iva, Deschamps, Anne, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Funke, Sigward, Govoni, Aladino, Groschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Huber, Johann, Jaric, Dejan, Jedlicka, Petr, Jund, Helene, Klingen, Stefan, Klotz, Bernhard, Kolinsky, Petr, Kotek, Josef, Kuhne, Lothar, Kuk, Kreso, Lange, Dietrich, Loos, Jurgen, Lovati, Sara, Malengros, Deny, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Metral, Laurent, Moretti, Milena, Munzarova, Helena, Nardi, Anna, Pahor, Jurij, Pequegnat, Catherine, Petersen, Florian, Piccinini, Davide, Pondrelli, Silvia, Prevolnik, Snjezan, Racine, Roman, Regnier, Marc, Reiss, Miriam, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Solarino, Stefano, Spieker, Kathrin, Stipcevic, Josip, Strollo, Angelo, Sule, Balint, Szanyi, Gyongyver, Szucs, Eszter, Thorwart, Martin, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Ludek, Voigt, Rene, Weidle, Christian, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix, Wolyniec, David, and Zieke, Thomas

Subjects
ddc:550, Institut für Geowissenschaften
Abstract

The AlpArray programme is a multinational, European consortium to advance our understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations, surface processes and seismic hazard in the Alps-Apennines-Carpathians-Dinarides orogenic system. The AlpArray Seismic Network has been deployed with contributions from 36 institutions from 11 countries to map physical properties of the lithosphere and asthenosphere in 3D and thus to obtain new, high-resolution geophysical images of structures from the surface down to the base of the mantle transition zone. With over 600 broadband stations operated for 2 years, this seismic experiment is one of the largest simultaneously operated seismological networks in the academic domain, employing hexagonal coverage with station spacing at less than 52 km. This dense and regularly spaced experiment is made possible by the coordinated coeval deployment of temporary stations from numerous national pools, including ocean-bottom seismometers, which were funded by different national agencies. They combine with permanent networks, which also required the cooperation of many different operators. Together these stations ultimately fill coverage gaps. Following a short overview of previous large-scale seismological experiments in the Alpine region, we here present the goals, construction, deployment, characteristics and data management of the AlpArray Seismic Network, which will provide data that is expected to be unprecedented in quality to image the complex Alpine mountains at depth.

Published
2018

44. The AlpArray Seismic Network: A Large‑Scale European Experiment to Image the Alpine Orogen

Author

Hetényi, György, Molinari, Irene, Clinton, John, Bokelmann, Götz, Bondár, István, Crawford, Wayne C., Dessa, Jean-Xavier, Doubre, Cécile, Friederich, Wolfgang, Fuchs, Florian, Giardini, Domenico, Gráczer, Zoltán, Handy, Mark R., Herak, Marijan, Jia, Yan, Kissling, Edi, Kopp, Heidrun, Korn, Michael, Margheriti, Lucia, Meier, Thomas, Mucciarelli, Marco, Paul, Anne, Pesaresi, Damiano, Piromallo, Claudia, Plenefisch, Thomas, Plomerová, Jaroslava, Ritter, Joachim, Rümpker, Georg, Šipka, Vesna, Spallarossa, Daniele, Thomas, Christine, Tilmann, Frederik, Wassermann, Joachim, Weber, Michael, Wéber, Zoltán, Wesztergom, Viktor, Živčić, Mladen, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besançon, Simon, Bès de Berc, Maxime, Brunel, Didier, Capello, Marco, Čarman, Martina, Cavaliere, Adriano, Chèze, Jérôme, Chiarabba, Claudio, Cougoulat, Glenn, Cristiano, Luigia, Czifra, Tibor, D’Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasović, Iva, Deschamps, Anne, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Funke, Sigward, Govoni, Aladino, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Huber, Johann, Jarić, Dejan, Jedlička, Petr, Jund, Hélène, Klingen, Stefan, Klotz, Bernhard, Kolínský, Petr, Kotek, Josef, Kühne, Lothar, Kuk, Krešo, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Métral, Laurent, Moretti, Milena, Munzarová, Helena, Nardi, Anna, Pahor, Jurij, Péquegnat, Catherine, Petersen, Florian, Piccinini, Davide, Pondrelli, Silvia, Prevolnik, Snježan, Racine, Roman, Régnier, Marc, Reiss, Miriam, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schippkus, Sven, Schulte-Kortnack, Detlef, Solarino, Stefano, Spieker, Kathrin, Stipčević, Josip, Strollo, Angelo, Süle, Bálint, Szanyi, Gyöngyvér, Szűcs, Eszter, Thorwart, Martin, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Luděk, Voigt, René, Weidle, Christian, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix, Wolyniec, David, Zieke, Thomas, Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum, Université de Lausanne = University of Lausanne (UNIL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Kövesligethy Radó Seismological Observatory, Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS), Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Dynamique globale et déformation active (IPGS) (IPGS-DGDA), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Mathematics and Computer Science, Freie Universität Berlin, Department of Earth Sciences [Swiss Federal Institute of Technology - ETH Zürich] (D-ERDW), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Roma (INGV), Istituto Nazionale di Geofisica e Vulcanologia, Christian-Albrechts-Universität zu Kiel (CAU), Istituto Nazionale di Geofisica e di Oceanografia Sperimentale (OGS), Institut des Sciences de la Terre (ISTerre), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Goethe-University Frankfurt am Main, Università degli studi di Genova = University of Genoa (UniGe), Ludwig-Maximilians-Universität München (LMU), GeoForschungsZentrum - Helmholtz-Zentrum Potsdam (GFZ), Research Centre for Astronomy and Earth Sciences [Budapest], Hungarian Academy of Sciences (MTA), Slovenian Environment Agency, Swiss National Science Foundation (Grants SINERGIA CRSII2_1544341 and OROG3NY PP00P2_157627), (b) National Research, Development and Innovation Fund, Hungary (Grant NKFI K124241), (c) Hungarian Academy of Sciences (Grants EU-04/2014, EU-07/2015), (d) Czech Academy of Sciences (Grant M100121201), (e) Operational Programme Research, Development and Education (Project CzechGeo/EPOS-Sci, CZ.02.1.01/0.0/0.0/16_013/0001800), (f) CzechGeo/EPOS (large research infrastructure, Grants LM2010008 and LM2015079), (g) Austrian Science Fund FWF (Project Numbers 26391 and 30707), (h) Deutsche Forschungsgemeinschaft DFG (Grants SPP2017 and MerMet 14-94), (i) INGV for committing internal funding, (j) Agence Nationale de la Recherche, France (contract ANR-15-CE31-0015), (k) RESIF National Research Infrastructure (Investissements d’Avenir, France, ANR-AA-EQPX-0040), (l) French Environment and Energy Management Agency (ADEME) for funding the EGS-Alsace project, (m) Labex OSUG@2020 programme (Investissements d’Avenir, France, ANR10 LABX56), (n) Croatian ScienceFoundation (Grant HRZZ IP-2014-09-9666)., ANR-15-CE31-0015,AlpArray-FR,Voir et comprendre les Alpes en 3D, de la croûte au manteau(2015), ANR-10-LABX-0056,OSUG@2020,Innovative strategies for observing and modelling natural systems(2010), Université de Lausanne (UNIL), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Université Paris Diderot - Paris 7 (UPD7)-IPG PARIS-Institut national des sciences de l'Univers (INSU - CNRS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Department of Mathematics and Computer Science (Freie Universität Berlin), Universita degli studi di Genova, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Department of Earth Sciences [ETH Zürich] (D-ERDW), GEOMAR - Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-PRES Université de Grenoble-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), ANR-15-CE31-0015,AlpArray-FR,Voir et comprendre les Alpes en 3D, de la croûte au manteau, ANR-10-LABX-0056/10-LABX-0056,OSUG@2020,Innovative strategies for observing and modelling natural systems(2010), and Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF)

Subjects
Seismometer, 010504 meteorology & atmospheric sciences, Geophysical imaging, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Seismic imaging, 010502 geochemistry & geophysics, Seismic network, Geodynamics, 01 natural sciences, Article, seismology, Alps, seismic network, geodynamics, seismic imaging, mountain building, Mountain building, Seismology, Geophysics, Geochemistry and Petrology, Lithosphere, Asthenosphere, Transition zone, 500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::551 Geologie, Hydrologie, Meteorologie, ddc:530, 0105 earth and related environmental sciences, Physics, Seismic hazard, Mountain formation, Geology
Abstract

The AlpArray programme is a multinational, European consortium to advance our understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations, surface processes and seismic hazard in the Alps–Apennines–Carpathians–Dinarides orogenic system. The AlpArray Seismic Network has been deployed with contributions from 36 institutions from 11 countries to map physical properties of the lithosphere and asthenosphere in 3D and thus to obtain new, high-resolution geophysical images of structures from the surface down to the base of the mantle transition zone. With over 600 broadband stations operated for 2 years, this seismic experiment is one of the largest simultaneously operated seismological networks in the academic domain, employing hexagonal coverage with station spacing at less than 52 km. This dense and regularly spaced experiment is made possible by the coordinated coeval deployment of temporary stations from numerous national pools, including ocean-bottom seismometers, which were funded by different national agencies. They combine with permanent networks, which also required the cooperation of many different operators. Together these stations ultimately fill coverage gaps. Following a short overview of previous large-scale seismological experiments in the Alpine region, we here present the goals, construction, deployment, characteristics and data management of the AlpArray Seismic Network, which will provide data that is expected to be unprecedented in quality to image the complex Alpine mountains at depth., Surveys in Geophysics, 39 (5), ISSN:0169-3298, ISSN:1573-0956

Published
2018
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46. Ambient-noise tomography of the wider Vienna Basin region

Author

Schippkus, Sven, Zigone, Dimitri, Bokelmann, Götz, Hetenyi, György, Abreu, Rafael, Allegretti, Ivo, Apoloner, Maria-Theresia, Aubert, Coralie, Besancon, Simon, Bes de Berc, Maxime, Brunel, Didier, Capello, Marco, Carman, Martina, Cavaliere, Adriano, Cheze, Jerome, Chiarabba, Claudio, Clinton, John, Cougoulat, Glenn, Crawford, Wayne C., Cristiano, Luigia, Czifra, Tibor, D'Alema, Ezio, Danesi, Stefania, Daniel, Romuald, Dannowski, Anke, Dasovic, Iva, Deschamps, Anne, Dessa, Jean-Xavier, Doubre, Cecile, Egdorf, Sven, Fiket, Tomislav, Fischer, Kasper, Friederich, Wolfgang, Fuchs, Florian, Funke, Sigward, Giardini, Domenico, Govoni, Aladino, Graczer, Zoltan, Gröschl, Gidera, Heimers, Stefan, Heit, Ben, Herak, Davorka, Huber, Johann, Jaric, Dejan, Jedlicka, Petr, Jia, Yan, Jund, Helene, Kissling, Edi, Klingen, Stefan, Klotz, Bernhard, Kolinsky, Petr, Kopp, Heidrun, Korn, Michael, Kotek, Josef, Kühne, Lothar, Kuk, Kreso, Lange, Dietrich, Loos, Jürgen, Lovati, Sara, Malengros, Deny, Margheriti, Lucia, Maron, Christophe, Martin, Xavier, Massa, Marco, Mazzarini, Francesco, Meier, Thomas, Metral, Laurent, Molinari, Irene, Moretti, Milena, Munzarova, Helena, Nardi, Anna, Pahor, Jurij, Paul, Anne, Pequegnat, Catherine, Petersen, Daniel, Pesaresi, Damiano, Piccinini, Davide, Piromallo, Claudia, Plenefisch, Thomas, Plomerova, Jaroslava, Pondrelli, Silvia, Prevolnik, Snjezan, Racine, Roman, Regnier, Marc, Reiss, Miriam, Ritter, Joachim, Rümpker, Georg, Salimbeni, Simone, Santulin, Marco, Scherer, Werner, Schulte-Kortnack, Detlef, Sipka, Vesna, Solarino, Stefano, Spallarossa, Daniele, Spieker, Kathrin, Stipcevic, Josip, Strollo, Angelo, Süle, Balint, Szanyi, Gyöngyver, Szücs, Eszter, Thomas, Christine, Thorwart, Martin, Tilmann, Frederik, Ueding, Stefan, Vallocchia, Massimiliano, Vecsey, Ludek, Voigt, Rene, Wassermann, Joachim, Weber, Zoltan, Weidle, Christian, Wesztergom, Viktor, Weyland, Gauthier, Wiemer, Stefan, Wolf, Felix Noah, Wolyniec, David, Zieke, Thomas, Zivcic, Mladen, Institut für Meteorologie und Geophysik [Wien] (IMGW), Universität Wien, Sismologie (IPGS) (IPGS-Sismologie), Institut de physique du globe de Strasbourg (IPGS), and Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
010504 meteorology & atmospheric sciences, Seismic noise, Wave propagation, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Seismic interferometry, Fault (geology), Crustal structure, 010502 geochemistry & geophysics, 01 natural sciences, Physics::Geophysics, symbols.namesake, Geochemistry and Petrology, Rayleigh wave, Dispersion (water waves), Crustal imaging, 0105 earth and related environmental sciences, geography, geography.geographical_feature_category, Seismic tomography, Tectonics, Geophysics, symbols, Seismology, Geology
Abstract

International audience; We present a new 3-D shear-velocity model for the top 30 km of the crust in the wider Vienna Basin region based on surface waves extracted from ambient-noise cross-correlations. We use continuous seismic records of 63 broad-band stations of the AlpArray project to retrieve interstation Green's functions from ambient-noise cross-correlations in the period range from 5 to 25 s. From these Green's functions, we measure Rayleigh group traveltimes, utilizing all four components of the cross-correlation tensor, which are associated with Rayleigh waves (ZZ, RR, RZ and ZR), to exploit multiple measurements per station pair. A set of selection criteria is applied to ensure that we use high-quality recordings of fundamental Rayleigh modes. We regionalize the interstation group velocities in a 5 km × 5 km grid with an average path density of ∼20 paths per cell. From the resulting group-velocity maps, we extract local 1-D dispersion curves for each cell and invert all cells independently to retrieve the crustal shear-velocity structure of the study area. The resulting model provides a previously unachieved lateral resolution of seismic velocities in the region of ∼15 km. As major features, we image the Vienna Basin and Little Hungarian Plain as low-velocity anomalies, and the Bohemian Massif with high velocities. The edges of these features are marked with prominent velocity contrasts correlated with faults, such as the Alpine Front and Vienna Basin transfer fault system. The observed structures correlate well with surface geology, gravitational anomalies and the few known crystalline basement depths from boreholes. For depths larger than those reached by boreholes, the new model allows new insight into the complex structure of the Vienna Basin and surrounding areas, including deep low-velocity zones, which we image with previously unachieved detail. This model may be used in the future to interpret the deeper structures and tectonic evolution of the wider Vienna Basin region, evaluate natural resources, model wave propagation and improve earthquake locations, among others.

Published
2018
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