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Revisiting FRB 20121102A: milliarcsecond localisation and a decreasing dispersion measure
No full textInternational audienceFRB 20121102A is the original repeating fast radio burst (FRB) source and also the first to be localised to milliarcsecond precision using very-long-baseline interferometry (VLBI). It has been active for over 13 years and resides in an extreme magneto-ionic environment in a dwarf host galaxy at a distance of ~1 Gpc. In this work, we use the European VLBI Network (EVN) to (re-)localise FRB 20121102A and its associated persistent radio source (PRS). We confirm that the two are co-located -- improving on previous results by a factor of ~4 and constraining the FRB and PRS co-location to ~12 pc transverse offset. Over a decade, the PRS luminosity on milliarcsecond scales remains consistent with measurements on larger angular scales, showing that the PRS is still compact. We also present the detection of 18 bursts with the Nancay Radio Telescope (NRT) as part of our ÉCLAT monitoring program. These bursts, together with previously published results, show that the observed dispersion measure (DM) of FRB 20121102A has dropped by ~25 pc/cc in the past five years, highlighting a fractional decrease in the local DM contribution of >15%. We discuss potential physical scenarios and highlight possible future observations that will help reveal the nature of FRB 20121102A, which is one of only a few known FRBs with a luminous PRS
Clustering in Deep Stochastic Transformers
No full textTransformers have revolutionized deep learning across various domains but understanding the precise token dynamics remains a theoretical challenge. Existing theories of deep Transformers with layer normalization typically predict that tokens cluster to a single point; however, these results rely on deterministic weight assumptions, which fail to capture the standard initialization scheme in Transformers. In this work, we show that accounting for the intrinsic stochasticity of random initialization alters this picture. More precisely, we analyze deep Transformers where noise arises from the random initialization of value matrices. Under diffusion scaling and token-wise RMS normalization, we prove that, as the number of Transformer layers goes to infinity, the discrete token dynamics converge to an interacting-particle system on the sphere where tokens are driven by a common matrix-valued Brownian noise. In this limit, we show that initialization noise prevents the collapse to a single cluster predicted by deterministic models. For two tokens, we prove a phase transition governed by the interaction strength and the token dimension: unlike deterministic attention flows, antipodal configurations become attracting with positive probability. Numerical experiments confirm the predicted transition, reveal that antipodal formations persist for more than two tokens, and demonstrate that suppressing the intrinsic noise degrades accuracy
Effects of lateral hydrological connectivity on the taxonomic and functional structure of fish communities in Saône river floodplains (France): implications for non‐native species distribution.
No full textInternational audienceLarge alluvial plain rivers provide a complex mosaic of freshwater habitats characterised by a lateral hydrological connectivity (LHC) gradient between the main channel and floodplains. This connectivity plays a key role in structuring aquatic communities, influencing species distribution, diversity, and ecosystem processes. The aims of our study were to assess the effects of the LHC gradient on both fish taxonomic and functional diversity, and to characterise the effects of this connectivity on the distribution of non‐native species. Community data were gathered through electrofishing at five sites in the main channel of the Saône River (France), and in four permanently (parapotamic) and four occasionally (plesiopotamic) connected oxbows. Functional diversity was investigated using a trait‐based approach as surrogates of ecosystem processes. A total of 28 fish species were identified, including 14 non‐native species. Our results show that main channel and plesiopotamic oxbows exhibited distinct compositional and structural patterns of fish communities, while parapotamic oxbows displayed an intermediate composition and community structure. Taxonomic and functional diversity decreased along the lateral continuum from the main channel to plesiopotamic waterbodies. In contrast, while non‐native species richness was similar between the main channel and floodplains, their densities were higher in floodplain oxbows. These findings highlight the prominent role of hydrological connectivity in sustaining both taxonomic and functional diversity in riverine ecosystems. Fish community variations between habitats may be explained by physical changes resulting from reduced connectivity, primarily characterised by a loss of depth and surface area, which in turn affect a broad spectrum of abiotic and biotic factors. High densities of non‐native species in lentic environments like oxbows can be attributed to specific abiotic conditions (e.g., hypoxia, rapid temperature fluctuations and eutrophication) and the greater tolerance and plasticity of non‐native species compared to native species. Additionally, the absence of predators reduces top‐down control and intensifies competition with native species for resources. Conservation and management strategies should prioritise preserving and restoring connectivity to support native fish communities, limit the dominance of non‐native species, and maintain the ecological integrity of freshwater ecosystems
Archéologie des peuplements littoraux. Colloque HOMER 2021
No full textInternational audienceThis volume presents the proceedings of the HOMER 2021 international conference, held in September/October 2021 on the Island of Oléron, France. The conference focused on recent advances in coastal and island archaeology across a wide geographical area, covering the Atlantic north of the equator. From the 55 oral presentations and 24 posters, 49 papers emerged, contributed by scholars from seven countries. The publication showcases the diversity of maritime archaeology, spanning fieldwork to specialized analysis, and from exploratory to synthesis studies. This volume is crucial for the archaeological community as it addresses both methodological issues and the new challenges facing coastal archaeology, reflecting diverse political perspectives. It also presents new research findings, a decade after the Homer 2011 conference was published in 2013 (BAR), and emphasizes the importance of coastal archaeological heritage. The volume engages with current global challenges and serves as a valuable tool for raising awareness among the public and decision-makers about the future of maritime heritage in the face of rising sea levels. It demonstrates that archaeology is a dynamic discipline, adapting daily to political decisions and natural events. Most of the case studies presented are previously unpublished. A key feature of this volume is its diachronic approach, ranging from prehistoric sites to historical ones
Looking elsewhere: improving variational Monte Carlo gradients by importance sampling
No full textInternational audienceNeural-network quantum states (NQS) offer a powerful and expressive ansatz for representing quantum many-body wave functions. However, their training via Variational Monte Carlo (VMC) methods remains challenging. It is well known that some scenarios -such as sharply peaked wave functions emerging in quantum chemistry -lead to high-variance gradient estimators hindering the effectiveness of variational optimizations. In this work we investigate a systematic strategy to tackle those sampling issues by means of adaptively tuned importance sampling. Our approach is explicitly designed to target the gradient estimator instead of the loss function and be computationally inexpensive. We benchmarked our approach across the ground-state search of a wide variety of hamiltonians, including frustrated spin systems and ab-initio quantum chemistry. Overall, our approach can reduce the computational cost of vanilla VMC considerably, up to a factor of 100x when targeting highly peaked quantum chemistry wavefunctions
Deep Search for Joint Sources of Gravitational Waves and High-Energy Neutrinos with IceCube During the Third Observing Run of LIGO and Virgo
No full textInternational audienceThe discovery of joint sources of high-energy neutrinos and gravitational waves has been a primary target for the LIGO, Virgo, KAGRA, and IceCube observatories. The joint detection of high-energy neutrinos and gravitational waves would provide insight into cosmic processes, from the dynamics of compact object mergers and stellar collapses to the mechanisms driving relativistic outflows. The joint detection of multiple cosmic messengers can also elevate the significance of the common observation even when some or all of the constituent messengers are sub-threshold, i.e. not significant enough to declare their detection individually. Using data from the LIGO, Virgo, and IceCube observatories, including sub-threshold events, we searched for common sources of gravitational waves and high-energy neutrinos during the third observing run of Advanced LIGO and Advanced Virgo detectors. Our search did not identify significant joint sources. We derive constraints on the rate densities of joint sources. Our results constrain the isotropic neutrino emission from gravitational-wave sources for very high values of the total energy emitted in neutrinos (> erg)
Two-way Coupling of Fluid-Structure Interaction for Elastic Magneto-Swimmers: A Finite Element ALE Approach
No full textArtificial micro-swimmers actuated by external magnetic fields hold significant promise for targeted biomedical applications, including drug delivery and micro-robot-assisted therapy. However, their dynamics remain challenging to control due to the complex nonlinear coupling between magnetic actuation, elastic deformations, and fluid interactions in confined biological environments. Numerical modeling is therefore essential to better understand, predict, and optimize their behavior for practical applications. In this work, we present a comprehensive finite element framework based on the Arbitrary Lagrangian-Eulerian formulation to simulate deformable elastic micro-swimmers in confined fluid domains. The method employs a fullorder model that resolves the complete fluid dynamics while simultaneously tracking swimmer deformation and global displacement on conforming meshes. Numerical experiments are performed with the open-source finite element library Feel++, demonstrating excellent agreement with experimental data from the literature. The validation benchmarks in both two and three dimensions confirm the accuracy, robustness, and computational efficiency of the proposed framework, representing a foundational step toward developing digital twins of magneto-swimmers for biomedical applications
Single-cell spatially resolved transcriptomic characterization of the developing mouse cochlea
No full textThe cochlea, the sensory organ of hearing, functions as a frequency analyzer, analogous to a musical instrument. During development, while the medio-lateral axis supports differentiation of sensory cells and their surrounding supporting cells, the longitudinal axis underlies frequency-dependent properties of the cochlea. The combination of these two gene expression gradients defines unique physiological attributes of each cell intimately linked to its position within the cochlea. To determine which cochlear cell-types have a transcriptomic signature sensitive to these two gradients and identify the underlying gene regulatory networks, we took advantage of the advent of spatial single cell transcriptomics methodologies. We therefore generated a spatial transcriptomic atlas reaching single cell resolution based on the Visium HD technique, a sequencing-based technology that employ arrays of spatially barcoded probes to capture RNA molecules unbiasedly from histological tissue sections. Spatial transcriptional changes during embryonic stages, E14 and E16, as well as during postnatal development, P1 and P8, were investigated. Based on this dataset, not only cell-type assignment in single cell RNA-seq experiments could be validated, but the classification for some cell-types could be refined. Gradients of gene expression along the medio-lateral and longitudinal axes in multiple cell-types together with their temporal dynamics across development were also uncovered. Altogether, this atlas paves the way for deciphering gene regulatory networks controlling gene expression as a function of position in the cochlear cell types, providing a valuable resource for the design of efficient, robust and safe gene therapy strategies
Changer de focale. L’expérience hégélienne de l’art égyptien à Berlin
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