@article{MarkoetterSintschukBritzkeetal.2022, author = {Mark{\"o}tter, Henning and Sintschuk, Michael and Britzke, Ricardo and Dayani, Shahabeddin and Bruno, Giovanni}, title = {Upgraded imaging capabilities at the BAMline (BESSY II)}, series = {Journal of synchrotron radiation}, volume = {29}, journal = {Journal of synchrotron radiation}, number = {5}, publisher = {International Union of Crystallography}, address = {Chester}, issn = {1600-5775}, doi = {10.1107/S1600577522007342}, pages = {1292 -- 1298}, year = {2022}, abstract = {The BAMline at the BESSY II synchrotron X-ray source has enabled research for more than 20 years in widely spread research fields such as materials science, biology, cultural heritage and medicine. As a nondestructive characterization method, synchrotron X-ray imaging, especially tomography, plays a particularly important role in structural characterization. A recent upgrade of key equipment of the BAMline widens its imaging capabilities: shorter scan acquisition times are now possible, in situ and op erando studies can now be routinely performed, and different energy spectra can easily be set up. In fact, the upgraded double-multilayer monochromator brings full flexibility by yielding different energy spectra to optimize flux and energy resolution as desired. The upgraded detector (based on an sCMOS camera) also allows exploiting the higher flux with reduced readout times. Furthermore, an installed slip ring allows the sample stage to continuously rotate. The latter feature enables tomographic observation of processes occurring in the time scale of a few seconds.}, language = {en} } @article{RosenblumPikovsky2023, author = {Rosenblum, Michael and Pikovsky, Arkady}, title = {Inferring connectivity of an oscillatory network via the phase dynamics reconstruction}, series = {Frontiers in network physiology}, volume = {3}, journal = {Frontiers in network physiology}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {2674-0109}, doi = {10.3389/fnetp.2023.1298228}, pages = {10}, year = {2023}, abstract = {We review an approach for reconstructing oscillatory networks' undirected and directed connectivity from data. The technique relies on inferring the phase dynamics model. The central assumption is that we observe the outputs of all network nodes. We distinguish between two cases. In the first one, the observed signals represent smooth oscillations, while in the second one, the data are pulse-like and can be viewed as point processes. For the first case, we discuss estimating the true phase from a scalar signal, exploiting the protophase-to-phase transformation. With the phases at hand, pairwise and triplet synchronization indices can characterize the undirected connectivity. Next, we demonstrate how to infer the general form of the coupling functions for two or three oscillators and how to use these functions to quantify the directional links. We proceed with a different treatment of networks with more than three nodes. We discuss the difference between the structural and effective phase connectivity that emerges due to high-order terms in the coupling functions. For the second case of point-process data, we use the instants of spikes to infer the phase dynamics model in the Winfree form directly. This way, we obtain the network's coupling matrix in the first approximation in the coupling strength.}, language = {en} } @article{CestnikMauRosenblum2022, author = {Cestnik, Rok and Mau, Erik T. K. and Rosenblum, Michael}, title = {Inferring oscillator's phase and amplitude response from a scalar signal exploiting test stimulation}, series = {New journal of physics : the open-access journal for physics}, volume = {24}, journal = {New journal of physics : the open-access journal for physics}, number = {12}, publisher = {Dt. Physikalische Ges., IOP}, address = {Bad Honnef, London}, issn = {1367-2630}, doi = {10.1088/1367-2630/aca70a}, pages = {27}, year = {2022}, abstract = {The phase sensitivity curve or phase response curve (PRC) quantifies the oscillator's reaction to stimulation at a specific phase and is a primary characteristic of a self-sustained oscillatory unit. Knowledge of this curve yields a phase dynamics description of the oscillator for arbitrary weak forcing. Similar, though much less studied characteristic, is the amplitude response that can be defined either using an ad hoc approach to amplitude estimation or via the isostable variables. Here, we discuss the problem of the phase and amplitude response inference from observations using test stimulation. Although PRC determination for noise-free neuronal-like oscillators perturbed by narrow pulses is a well-known task, the general case remains a challenging problem. Even more challenging is the inference of the amplitude response. This characteristic is crucial, e.g. for controlling the amplitude of the collective mode in a network of interacting units-a task relevant to neuroscience. Here, we compare the performance of different techniques suitable for inferring the phase and amplitude response, particularly with application to macroscopic oscillators. We suggest improvements to these techniques, e.g. demonstrating how to obtain the PRC in case of stimuli of arbitrary shape. Our main result is a novel technique denoted by IPID-1, based on the direct reconstruction of the Winfree equation and the analogous first-order equation for isostable dynamics. The technique works for signals with or without well-pronounced marker events and pulses of arbitrary shape; in particular, we consider charge-balanced pulses typical in neuroscience applications. Moreover, this technique is superior for noisy and high-dimensional systems. Additionally, we describe an error measure that can be computed solely from data and complements any inference technique.}, language = {en} } @article{ZhelavskayaAseevShprits2021, author = {Zhelavskaya, Irina and Aseev, Nikita and Shprits, Yuri}, title = {A combined neural network- and physics-based approach for modeling plasmasphere dynamics}, series = {JGR / AGU, American Geographical Union. Space Physics}, volume = {126}, journal = {JGR / AGU, American Geographical Union. Space Physics}, number = {3}, publisher = {Wiley}, address = {Hoboken, NJ}, issn = {2169-9380}, doi = {10.1029/2020JA028077}, pages = {30}, year = {2021}, abstract = {Abstract In recent years, feedforward neural networks (NNs) have been successfully applied to reconstruct global plasmasphere dynamics in the equatorial plane. These neural network-based models capture the large-scale dynamics of the plasmasphere, such as plume formation and erosion of the plasmasphere on the nightside. However, their performance depends strongly on the availability of training data. When the data coverage is limited or non-existent, as occurs during geomagnetic storms, the performance of NNs significantly decreases, as networks inherently cannot learn from the limited number of examples. This limitation can be overcome by employing physics-based modeling during strong geomagnetic storms. Physics-based models show a stable performance during periods of disturbed geomagnetic activity if they are correctly initialized and configured. In this study, we illustrate how to combine the neural network- and physics-based models of the plasmasphere in an optimal way by using data assimilation. The proposed approach utilizes advantages of both neural network- and physics-based modeling and produces global plasma density reconstructions for both quiet and disturbed geomagnetic activity, including extreme geomagnetic storms. We validate the models quantitatively by comparing their output to the in-situ density measurements from RBSP-A for an 18-month out-of-sample period from June 30, 2016 to January 01, 2018 and computing performance metrics. To validate the global density reconstructions qualitatively, we compare them to the IMAGE EUV images of the He+ particle distribution in the Earth's plasmasphere for a number of events in the past, including the Halloween storm in 2003.}, language = {en} } @article{DurandvandenBroekeLeCozannetetal.2022, author = {Durand, Gael and van den Broeke, Michiel R. and Le Cozannet, Goneri and Edwards, Tamsin L. and Holland, Paul R. and Jourdain, Nicolas C. and Marzeion, Ben and Mottram, Ruth and Nicholls, Robert J. and Pattyn, Frank and Paul, Frank and Slangen, Aimee B. A. and Winkelmann, Ricarda and Burgard, Clara and van Calcar, Caroline J. and Barre, Jean-Baptiste and Bataille, Amelie and Chapuis, Anne}, title = {Sea-Level rise: from global perspectives to local services}, series = {Frontiers in Marine Science}, volume = {8}, journal = {Frontiers in Marine Science}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {2296-7745}, doi = {10.3389/fmars.2021.709595}, pages = {8}, year = {2022}, abstract = {Coastal areas are highly diverse, ecologically rich, regions of key socio-economic activity, and are particularly sensitive to sea-level change. Over most of the 20th century, global mean sea level has risen mainly due to warming and subsequent expansion of the upper ocean layers as well as the melting of glaciers and ice caps. Over the last three decades, increased mass loss of the Greenland and Antarctic ice sheets has also started to contribute significantly to contemporary sea-level rise. The future mass loss of the two ice sheets, which combined represent a sea-level rise potential of similar to 65 m, constitutes the main source of uncertainty in long-term (centennial to millennial) sea-level rise projections. Improved knowledge of the magnitude and rate of future sea-level change is therefore of utmost importance. Moreover, sea level does not change uniformly across the globe and can differ greatly at both regional and local scales. The most appropriate and feasible sea level mitigation and adaptation measures in coastal regions strongly depend on local land use and associated risk aversion. Here, we advocate that addressing the problem of future sea-level rise and its impacts requires (i) bringing together a transdisciplinary scientific community, from climate and cryospheric scientists to coastal impact specialists, and (ii) interacting closely and iteratively with users and local stakeholders to co-design and co-build coastal climate services, including addressing the high-end risks.}, language = {en} } @article{KretzschmarAshbyFearonetal.2022, author = {Kretzschmar, Mirjam E. and Ashby, Ben and Fearon, Elizabeth and Overton, Christopher E. and Panovska-Griffiths, Jasmina and Pellis, Lorenzo and Quaife, Matthew and Rozhnova, Ganna and Scarabel, Francesca and Stage, Helena B. and Swallow, Ben and Thompson, Robin N. and Tildesley, Michael J. and Villela, Daniel Campos}, title = {Challenges for modelling interventions for future pandemics}, series = {Epidemics}, volume = {38}, journal = {Epidemics}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1755-4365}, doi = {10.1016/j.epidem.2022.100546}, pages = {13}, year = {2022}, abstract = {Mathematical modelling and statistical inference provide a framework to evaluate different non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has been widely used during the COVID-19 pandemic. In this paper, lessons learned from this and previous epidemics are used to highlight the challenges for future pandemic control. We consider the availability and use of data, as well as the need for correct parameterisation and calibration for different model frameworks. We discuss challenges that arise in describing and distinguishing between different interventions, within different modelling structures, and allowing both within and between host dynamics. We also highlight challenges in modelling the health economic and political aspects of interventions. Given the diversity of these challenges, a broad variety of interdisciplinary expertise is needed to address them, combining mathematical knowledge with biological and social insights, and including health economics and communication skills. Addressing these challenges for the future requires strong cross disciplinary collaboration together with close communication between scientists and policy makers.}, language = {en} } @article{AndersKhalatyanQueirozetal.2022, author = {Anders, Friedrich and Khalatyan, Arman and Queiroz, Anna B. A. and Chiappini, Cristina and Ard{\`e}vol, Judith and Casamiquela, Laia and Figueras, Francesca and Jim{\´e}nez-Arranz, {\´O}scar and Jordi, Carme and Monguio, Maria and Romero-G{\´o}mez, Merce and Altamirano, Diego and Antoja, Teresa and Assaad, R. and Cantat-Gaudin, Tristan and Castro-Ginard, Alfred and Enke, Harry and Girardi, L{\´e}o and Guiglion, Guillaume and Khan, Saniya and Luri, Xavier and Miglio, Andrea and Minchev, Ivan and Ramos, Pau and Santiago, Basillio Xavier and Steinmetz, Matthias}, title = {Photo-astrometric distances, extinctions, and astrophysical parameters for Gaia EDR3 stars brighter than G=18.5}, series = {Astronomy and astrophysics}, volume = {658}, journal = {Astronomy and astrophysics}, publisher = {EDP Sciences}, address = {Les Ulis}, issn = {0004-6361}, doi = {10.1051/0004-6361/202142369}, pages = {27}, year = {2022}, abstract = {We present a catalogue of 362 million stellar parameters, distances, and extinctions derived from Gaia's Early Data Release (EDR3) cross-matched with the photometric catalogues of Pan-STARRS1, SkyMapper, 2MASS, and All WISE. The higher precision of the Gaia EDR3 data, combined with the broad wavelength coverage of the additional photometric surveys and the new stellar-density priors of the StarHorse code, allows us to substantially improve the accuracy and precision over previous photo-astrometric stellar-parameter estimates. At magnitude G = 14 (17), our typical precisions amount to 3\% (15\%) in distance, 0.13 mag (0.15 mag) in V-band extinction, and 140 K (180 K) in effective temperature. Our results are validated by comparisons with open clusters, as well as with asteroseismic and spectroscopic measurements, indicating systematic errors smaller than the nominal uncertainties for the vast majority of objects. We also provide distance- and extinction-corrected colour-magnitude diagrams, extinction maps, and extensive stellar density maps that reveal detailed substructures in the Milky Way and beyond. The new density maps now probe a much greater volume, extending to regions beyond the Galactic bar and to Local Group galaxies, with a larger total number density. We publish our results through an ADQL query interface (gaia . aip . de) as well as via tables containing approximations of the full posterior distributions. Our multi-wavelength approach and the deep magnitude limit render our results useful also beyond the next Gaia release, DR3.}, language = {en} } @article{KelesMallonnKitzmannetal.2022, author = {Keles, Engin and Mallonn, Matthias and Kitzmann, Daniel and Poppenh{\"a}ger, Katja and Hoeijmakers, H. Jens and Ilyin, Ilya and Alexoudi, Xanthippi and Carroll, Thorsten A. and Alvarado-Gomez, Julian and Ketzer, Laura and Bonomo, Aldo S. and Borsa, Francesco and Gaudi, B. Scott and Henning, Thomas and Malavolta, Luca and Molaverdikhani, Karan and Nascimbeni, Valerio and Patience, Jennifer and Pino, Lorenzo and Scandariato, Gaetano and Schlawin, Everett and Shkolnik, Evgenya and Sicilia, Daniela and Sozzetti, Alessandro and Foster, Mary G. and Veillet, Christian and Wang, Ji and Yan, Fei and Strassmeier, Klaus G.}, title = {The PEPSI exoplanet transit survey (PETS) I: Investigating the presence of a silicate atmosphere on the super-earth 55 Cnc e}, series = {Monthly notices of the Royal Astronomical Society}, volume = {513}, journal = {Monthly notices of the Royal Astronomical Society}, number = {1}, publisher = {Oxford University Press}, address = {Oxford}, issn = {0035-8711}, doi = {10.1093/mnras/stac810}, pages = {1544 -- 1556}, year = {2022}, abstract = {The study of exoplanets and especially their atmospheres can reveal key insights on their evolution by identifying specific atmospheric species. For such atmospheric investigations, high-resolution transmission spectroscopy has shown great success, especially for Jupiter-type planets. Towards the atmospheric characterization of smaller planets, the super-Earth exoplanet 55 Cnc e is one of the most promising terrestrial exoplanets studied to date. Here, we present a high-resolution spectroscopic transit observation of this planet, acquired with the PEPSI instrument at the Large Binocular Telescope. Assuming the presence of Earth-like crust species on the surface of 55 Cnc e, from which a possible silicate-vapor atmosphere could have originated, we search in its transmission spectrum for absorption of various atomic and ionized species such as Fe , Fe (+), Ca , Ca (+), Mg, and K , among others. Not finding absorption for any of the investigated species, we are able to set absorption limits with a median value of 1.9 x R-P. In conclusion, we do not find evidence of a widely extended silicate envelope on this super-Earth reaching several planetary radii.}, language = {en} } @article{KramerBouriaudFeindtetal.2022, author = {Kramer, Koen and Bouriaud, Laura and Feindt, Peter H. and van Wassenaer, Lan and Glanemann, Nicole and Hanewinkel, Marc and van der Heide, Martijn and Hengeveld, Geerten M. and Hoogstra, Marjanke and Ingram, Verina and Levermann, Anders and Lindner, Marcus and M{\´a}ty{\´a}s, Csaba and Mohren, Frits and Muys, Bart and Nabuurs, Gert-Jan and Palahi, Marc and Polman, Nico and Reyer, Christopher P. O. and Schulze, Ernst-Detlef and Seidl, Rupert and de Vries, Wim and Werners, Saskia E. and Winkel, Georg and Yousefpour, Rasoul}, title = {Perspective Roadmap to develop a stress test for forest ecosystem services supply}, series = {One Earth}, volume = {5}, journal = {One Earth}, number = {1}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-3330}, doi = {10.1016/j.oneear.2021.12.009}, pages = {25 -- 34}, year = {2022}, abstract = {Forests play a key role in a bio-based economy by providing renewable materials, mitigating climate change, and accommodating biodiversity. However, forests experience massive increases in stresses in their ecological and socioeconomic environments, threatening forest ecosystem services supply. Alleviating those stresses is hampered by conflicting and disconnected governance arrangements, competing interests and claims, and rapid changes in technology and social demands. Identifying which stresses threaten forest ecosystem services supply and which factors hamper their alleviation requires stakeholders' perceptions. Stakeholder-oriented stress tests for the supply of forest ecosystem services are therefore necessary but are not yet available. This perspective presents a roadmap to develop a stress test tailored to multiple stakeholders' needs and demands across spatial scales. We provide the Cascade and Resilience Rosetta, with accompanying performance- and resilience indicators, as tools to facilitate development of the stress test. The application of the stress test will facilitate the transition toward a bio-based economy in which healthy and diverse forests provide sustainable and resilient ecosystem services.}, language = {en} } @article{HempelSavenjieStolterfohtetal.2022, author = {Hempel, Hannes and Savenjie, Tom J. and Stolterfoht, Martin and Neu, Jens and Failla, Michele and Paingad, Vaisakh C. and Kužel, Petr and Heilweil, Edwin J. and Spies, Jacob A. and Schleuning, Markus and Zhao, Jiashang and Friedrich, Dennis and Schwarzburg, Klaus and Siebbeles, Laurens D. A. and D{\"o}rflinger, Patrick and Dyakonov, Vladimir and Katoh, Ryuzi and Hong, Min Ji and Labram, John G. and Monti, Maurizio and Butler-Caddle, Edward and Lloyd-Hughes, James and Taheri, Mohammad M. and Baxter, Jason B. and Magnanelli, Timothy J. and Luo, Simon and Cardon, Joseph M. and Ardo, Shane and Unold, Thomas}, title = {Predicting solar cell performance from terahertz and microwave spectroscopy}, series = {Advanced energy materials}, volume = {12}, journal = {Advanced energy materials}, number = {13}, publisher = {Wiley}, address = {Weinheim}, issn = {1614-6832}, doi = {10.1002/aenm.202102776}, pages = {16}, year = {2022}, abstract = {Mobilities and lifetimes of photogenerated charge carriers are core properties of photovoltaic materials and can both be characterized by contactless terahertz or microwave measurements. Here, the expertise from fifteen laboratories is combined to quantitatively model the current-voltage characteristics of a solar cell from such measurements. To this end, the impact of measurement conditions, alternate interpretations, and experimental inter-laboratory variations are discussed using a (Cs,FA,MA)Pb(I,Br)(3) halide perovskite thin-film as a case study. At 1 sun equivalent excitation, neither transport nor recombination is significantly affected by exciton formation or trapping. Terahertz, microwave, and photoluminescence transients for the neat material yield consistent effective lifetimes implying a resistance-free JV-curve with a potential power conversion efficiency of 24.6 \%. For grainsizes above approximate to 20 nm, intra-grain charge transport is characterized by terahertz sum mobilities of approximate to 32 cm(2) V-1 s(-1). Drift-diffusion simulations indicate that these intra-grain mobilities can slightly reduce the fill factor of perovskite solar cells to 0.82, in accordance with the best-realized devices in the literature. Beyond perovskites, this work can guide a highly predictive characterization of any emerging semiconductor for photovoltaic or photoelectrochemical energy conversion. A best practice for the interpretation of terahertz and microwave measurements on photovoltaic materials is presented.}, language = {en} }