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2,300 results on '"Corre P"'

1. Fabrication and characterization of Transverse Orientation Patterned Gallium Phosphide waveguides for high efficiency second harmonic generation

Author

Lemoine, Antoine, Corre, Brieg Le, Morice, Lise, Harouri, Abdelmounaïm, Gratiet, Luc Le, Beaudoin, Grégoire, Pouliquen, Julie Le, Tavernier, Karine, Grisard, Arnaud, Combrié, Sylvain, Gérard, Bruno, Cornet, Charles, Dumeige, Yannick, Pantzas, Konstantinos, Sagnes, Isabelle, and Léger, Yoan

Subjects
Physics - Optics, Physics - Applied Physics
Abstract

Achieving high conversion efficiencies in second-order nonlinear optical processes is a key challenge in integrated photonics for both classical and quantum applications. This paper presents the first demonstration of Transverse Orientation-Patterned gallium phosphide (TOP-GaP) waveguides showing high-efficiency second harmonic generation. In such devices, first order modal phase matching is unlocked and optimized through the inversion of the nonlinear susceptibility along the vertical direction. We discuss here the theory behind modal phase matching in TOP structures, describe the fabrication process, and present linear and nonlinear characterizations of the TOP-GaP waveguides.

Published
2024

2. The detectability of high-redshift gamma-ray bursts near-infrared afterglows with CAGIRE

Author

Fortin, Francis, Atteia, Jean-Luc, de la Flèche, Alix Nouvel, Valentin, Hervé, Boulade, Olivier, Corre, David, Turpin, Damien, Secroun, Aurélia, Basa, Stéphane, Dolon, François, Floriot, Johan, Lombardo, Simona, Borgne, Jean-François Le, Watson, Alan M., and Lee, William H.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Context. Transient sky astronomy is entering a new era with the advent of the SVOM mission (Space Variable Objects Monitor), which was successfully launched on the 26th of June, 2024. The primary goal of SVOM is to monitor the hard X-ray sky searching for gamma-ray bursts (GRBs). On top of its on-board follow-up capabilities, SVOM will be backed by its ground segment composed of several facilities, of which the near-infrared imager CAGIRE. Mounted on the robotic telescope COLIBRI, it will be a unique instrument, able to perform fast follow-up of GRB afterglows in J and H bands, an ideal combination to catch high-redshift (z>6) and/or obscured GRBs. Aims. This paper aims at estimating the performances of CAGIRE for GRB near-infrared afterglow detection based on the characteristics of the detector and the specificities of the COLIBRI telescope. Quickly fading GRB afterglows pose challenges that should be addressed by adapting observing strategies to the capabilities of CAGIRE. Methods. We use an end-to-end image simulator to produce realistic CAGIRE images, taking into account results from the characterization of the ALFA detector used by CAGIRE. We implemented a GRB afterglow generator that simulates infrared lightcurves and spectra based on published observation of distant GRBs (z>6). Results. We retrieved the photometry of 9 GRB afterglows in various scenarios covered by CAGIRE. Catching afterglows as early as two minutes after burst allows the identification of a nIR counterpart in the brightest 4 events. When artificially redshifted even further away, these events remain detectable by CAGIRE up to z=9.6 in J band, and z=13.3 in H band, indicating the potential of CAGIRE to be a pioneer in the identification of the most distant GRBs to date., Comment: 8 pages, 5 figures, 3 tables, accepted for publication in A&A

Published
2024
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3. Analysis of 3GPP and Ray-Tracing Based Channel Model for 5G Industrial Network Planning

Author

Bhatia, Gurjot Singh, Corre, Yoann, Thrybom, Linus, and Di Renzo, M.

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Emerging Technologies
Abstract

Appropriate channel models tailored to the specific needs of industrial environments are crucial for the 5G private industrial network design and guiding deployment strategies. This paper scrutinizes the applicability of 3GPP's channel model for industrial scenarios. The challenges in accurately modeling industrial channels are addressed, and a refinement strategy is proposed employing a ray-tracing (RT) based channel model calibrated with continuous-wave received power measurements collected in a manufacturing facility in Sweden. The calibration helps the RT model achieve a root mean square error (RMSE) and standard deviation of less than 7 dB. The 3GPP and the calibrated RT model are statistically compared with the measurements, and the coverage maps of both models are also analyzed. The calibrated RT model is used to simulate the network deployment in the factory to satisfy the reference signal received power (RSRP) requirement. The deployment performance is compared with the prediction from the 3GPP model in terms of the RSRP coverage map and coverage rate. Evaluation of deployment performance provides crucial insights into the efficacy of various channel modeling techniques for optimizing 5G industrial network planning., Comment: copyright 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Published
2024

5. Fully printed flexible perovskite solar modules with improved energy alignment by tin oxide surface modification

Author

Dong, Lirong, Qiu, Shudi, Cerrillo, Jose Garcia, Wagner, Michael, Kasian, Olga, Feroze, Sarmad, Jang, Dongju, Li, Chaohui, Corre, Vincent M. Le, Zhang, Kaicheng, Peisert, Heiko, Kosasih, Felix U, Arrive, Charline, Du, Tian, Yang, Fu, Brabec, Christoph J., and Egelhaaf, Hans-Joachim

Subjects
Condensed Matter - Materials Science, Physics - Applied Physics
Abstract

Fully printed flexible perovskite solar cells (f-PSCs) show great potential for the commercialization of perovskite photovoltaics owing to their compatibility with high-throughput roll-to-roll (R2R) production. However, the challenge remains in the deficiency in controlling interfacial recombination losses of the functional layer, causing remarkable loss of power conversion efficiency (PCE) in industrial production. Here, a fullerene-substituted alkylphosphonic acid dipole layer is introduced between the R2R-printed tin oxide electron transport layer and the perovskite active layer to reduce the energetic barrier and to suppress surface recombination at the buried interface. The resulting f-PSCs exhibit a PCE of 17.0% with negligible hysteresis, retain 95% of their initial PCE over 3000 bending cycles and achieve a T95 lifetime of 1200 h under 1 sun and 65 degreeC in nitrogen atmosphere. Moreover, the fully printed flexible perovskite solar mini-modules (f-PSMs) with a 20.25 cm2 aperture area achieve a PCE of 11.6%. The encapsulated f-PSMs retain 90% of their initial PCE after 500 h damp-heat testing at 65 degreeC and 85% relative humidity (ISOS-D3). This work marks an important progress toward the realization of efficient and stable flexible perovskite photovoltaics for commercialization.

Published
2024

6. Exploring the spatial segmentation of housing markets from online listings

Author

Abella, David, Martínez, Johann H., Mazzoli, Mattia, Corre, Thibault Le, Migozzi, Julien, Alonso-Paulí, Eduard, Crespí-Cladera, Rafel, Louail, Thomas, and Ramasco, José J.

Subjects
Physics - Physics and Society
Abstract

The real estate market shows an inherent connection to space. Real estate agencies unevenly operate and specialize across space, price and type of properties, thereby segmenting the market into submarkets. We introduce here a methodology based on multipartite networks to detect the spatial segmentation emerging from data on housing online listings. Considering the spatial information of the listings, we build a bipartite network that connects agencies and spatial units. This bipartite network is projected into a network of spatial units, whose connections account for similarities in the agency ecosystem. We then apply clustering methods to this network to segment markets into spatially-coherent regions, which are found to be robust across different clustering detection algorithms, discretization of space and spatial scales, and across countries with case studies in France and Spain. This methodology addresses the long-standing issue of housing market segmentation, relevant in disciplines such as urban studies and spatial economics, and with implications for policymaking., Comment: 9 pages, 10 figures

Published
2024

7. Ray-Tracing Calibration from Channel Sounding Measurements in a Millimeter-Wave Industrial Scenario

Author

Gougeon, Grégory, Munoz, Frédéric, Corre, Yoann, and D'Errico, Raffaele

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

New-generation communication and sensing systems are gaining strong interest in the context of Industry 4.0 e.g., related to mapping techniques, environmental sensing, automation or hyper-vision. The radio propagation in confined, cluttered and heavily metalized factory environments is a critical challenge; thus an evaluation by accurate propagation channel models is necessary. Site-specific channel emulation can be obtained from Ray-tracing (RT); but RT validation for factory environments is still an on-going work. For this purpose, a measurement campaign was performed in a machine room with many metallic objects and machines, using a mmWave channel sounder. Wideband channel responses were collected and compared to RT simulations. The RT prediction tool was calibrated to minimize the error observed on some large scale statistics, thus reaching a very good agreement between the simulation and the measurement. Average error in received power, delay spread and azimuth spread is below 1.5 dB, 5 ns and 2{\deg} respectively., Comment: Paper presented at 18th EuCAP, 17-22 March 2024, Glasgow, Scotland

Published
2024

8. Simulation of perovskite thin layer crystallization with varying evaporation rates

Author

Majewski, M., Qiu, S., Ronsin, O., Lüer, L., Corre, V. M. Le, Du, T., Brabec, C. J., Egelhaaf, H. -J., and Harting, J.

Subjects
Condensed Matter - Materials Science
Abstract

Perovskite solar cells (PSC) are promising potential competitors to established photovoltaic technologies due to their superior efficiency and low-cost solution processability. However, the limited understanding of the crystallization behaviour hinders the technological transition from lab-scale cells to modules. In this work, we perform Phase Field (PF) simulations of the doctor-bladed film formation to obtain mechanistic and morphological information that is experimentally challenging to access. PF simulations are validated extensively using in- and ex-situ experiments for different solvent evaporation rates. The well-known transition from a film with many pinholes, for a low evaporation rate, to a smooth film, for high evaporation rates, is recovered in simulation and experiment. From the simulation, the transition can be assigned to the change in the ratio of evaporation to crystallization rate because of two distinct mechanisms. Firstly, for larger evaporation rates, nuclei appear at higher concentrations, which favors nucleation as compared to growth. Secondly, the growth of the crystals is confined in a thinner film, which limits their vertical size. Both effects are expected to be valid independent of the specific chemistry of the chosen experimental system, as long as the evaporation time of the solvent is comparable to the crystallization time., Comment: paper 10 pages, SI 26 pages

Published
2024

9. Path differences between quasistatic and fatigue cracks in anisotropic media

Author

Zhai, Xinyuan, Corre, Thomas, Mesgarnejad, Ataollah, Karma, Alain, and Lazarus, Veronique

Subjects
Condensed Matter - Materials Science
Abstract

The propagation path of quasistatic cracks under monotonic loading is known to be strongly influenced by the anisotropy of the fracture energy in crystalline solids or engineered materials with a regular microstructure. Such cracks generally follow directions close to minima of the fracture energy. Here we demonstrate both experimentally and computationally that fatigue cracks under cyclic loading follow dramatically different paths that are predominantly dictated by the symmetry of the loading with the microstructure playing a negligible or subdominant role.

Published
2024

10. Inhibition of lysine acetyltransferase KAT6 in ER+HER2- metastatic breast cancer: a phase 1 trial.

Author

Mukohara, Toru, Park, Yeon, Sommerhalder, David, Yonemori, Kan, Hamilton, Erika, Kim, Sung-Bae, Kim, Jee, Iwata, Hiroji, Yamashita, Toshinari, Layman, Rachel, Mita, Monica, Clay, Timothy, Chae, Yee, Oakman, Catherine, Yan, Fengting, Kim, Gun, Im, Seock-Ah, Lindeman, Geoffrey, Rugo, Hope, Liyanage, Marlon, Saul, Michelle, Le Corre, Christophe, Skoura, Athanasia, Liu, Li, Li, Meng, and LoRusso, Patricia

Subjects
Humans, Female, Breast Neoplasms, Histone Acetyltransferases, Middle Aged, Receptor, ErbB-2, Receptors, Estrogen, Fulvestrant, Aged, Adult, Neoplasm Metastasis, Antineoplastic Combined Chemotherapy Protocols
Abstract

Inhibition of histone lysine acetyltransferases (KATs) KAT6A and KAT6B has shown antitumor activity in estrogen receptor-positive (ER+) breast cancer preclinical models. PF-07248144 is a selective catalytic inhibitor of KAT6A and KAT6B. In the present study, we report the safety, pharmacokinetics (PK), pharmacodynamics, efficacy and biomarker results from the first-in-human, phase 1 dose escalation and dose expansion study (n = 107) of PF-07248144 monotherapy and fulvestrant combination in heavily pretreated ER+ human epidermal growth factor receptor-negative (HER2-) metastatic breast cancer (mBC). The primary objectives of assessing the safety and tolerability and determining the recommended dose for expansion of PF-07248144, as monotherapy and in combination with fulvestrant, were met. Secondary endpoints included characterization of PK and evaluation of antitumor activity, including objective response rate (ORR) and progression-free survival (PFS). Common treatment-related adverse events (any grade; grades 3-4) included dysgeusia (83.2%, 0%), neutropenia (59.8%, 35.5%) and anemia (48.6%, 13.1%). Exposure was approximately dose proportional. Antitumor activity was observed as monotherapy. For the PF-07248144-fulvestrant combination (n = 43), the ORR (95% confidence interval (CI)) was 30.2% (95% CI = 17.2-46.1%) and the median PFS was 10.7 (5.3-not evaluable) months. PF-07248144 demonstrated a tolerable safety profile and durable antitumor activity in heavily pretreated ER+HER2- mBC. These findings establish KAT6A and KAT6B as druggable cancer targets, provide clinical proof of concept and reveal a potential avenue to treat mBC. clinicaltrial.gov registration: NCT04606446 .

Published
2024

13. Precise Control of Process Parameters for >23% Efficiency Perovskite Solar Cells in Ambient Air Using an Automated Device Acceleration Platform

Author

Zhang, Jiyun, Barabash, Anastasia, Du, Tian, Wu, Jianchang, Corre, Vincent M. Le, Zhao, Yicheng, Qiu, Shudi, Zhang, Kaicheng, Schmitt, Frederik, Peng, Zijian, Tian, Jingjing, Li, Chaohui, Liu, Chao, Heumueller, Thomas, Lüer, Larry, Hauch, Jens A., and Brabec, Christoph J.

Subjects
Physics - Applied Physics, Condensed Matter - Materials Science
Abstract

Achieving high-performance perovskite photovoltaics, especially in ambient air relies heavily on optimizing process parameters. However, traditional manual methods often struggle to effectively control the key variables. This inherent challenge requires a paradigm shift toward automated platforms capable of precise and reproducible experiments. Herein, we use a fully automated device acceleration platform (DAP) to optimize the process parameters for preparing full perovskite devices using a two-step method in ambient air. Eight process parameters that have the potential to significantly influence device performance are systematically optimized. Specifically, we delve into the impact of the dispense speed of organic ammonium halide, a parameter that is difficult to control manually, on both perovskite film and device performance. Through the targeted design of experiments, we reveal that the dispense speed significantly affects device performance primarily by adjusting the residual PbI2 content in the films. We find that moderate dispense speeds, e.g., 50 {\mu}l/s, contribute to top-performance devices. Conversely, too fast or too slow speeds result in devices with relatively poorer performance and lower reproducibility. The optimized parameter set enables us to establish a Standard Operation Procedure (SOP) for additive-free perovskite processing under ambient conditions, which yield devices with efficiencies surpassing 23%, satisfactory reproducibility, and state-of-the-art photo-thermal stability. This research underscores the importance of understanding the causality of process parameters in enhancing perovskite photovoltaic performance. Furthermore, our study highlights the pivotal role of automated platforms in discovering innovative workflows and accelerating the development of high-performing perovskite photovoltaic technologies.

Published
2024

14. Exploring RIS Coverage Enhancement in Factories: From Ray-Based Modeling to Use-Case Analysis

Author

Bhatia, Gurjot Singh, Corre, Yoann, Tenoux, Thierry, and Di Renzo, M.

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Reconfigurable Intelligent Surfaces (RISs) have risen to the forefront of wireless communications research due to their proactive ability to alter the wireless environment intelligently, promising improved wireless network capacity and coverage. Thus, RISs are a pivotal technology in evolving next-generation communication networks. This paper demonstrates a system-level modeling approach for RIS. The RIS model, integrated with the Volcano ray-tracing (RT) tool, is used to analyze the far-field (FF) RIS channel properties in a typical factory environment and explore coverage enhancement at sub-6 GHz and mmWave frequencies. The results obtained in non-line-of-sight (NLoS) scenarios confirm that RIS application is relevant for 5G industrial networks., Comment: copyright 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Published
2024

17. Beginner's guide to visual analysis of perovskite and organic solar cell current density-voltage characteristics

Author

These, Albert, Koster, L. Jan Anton, Brabec, Christoph J., and Corre, Vincent M. Le

Subjects
Condensed Matter - Materials Science
Abstract

The current density-voltage characteristic (JV) is a critical tool for understanding the behaviour of solar cells. In this article, we present an overview of the key aspects of JV analysis and introduce a user-friendly flowchart that facilitates the swift identification of the most probable limiting process in a solar cell, based mainly on the outcomes of light-intensity-dependent JV measurements. The flowchart was developed through extensive drift-diffusion simulations and a rigorous review of the literature, with a specific focus on perovskite and organic solar cells. Moreover, the flowchart proposes supplementary experiments that can be conducted to obtain a more precise prediction of the primary performance losses. It therefore serves as an optimal starting point to analyse performance losses of solar cells., Comment: 50 pages (14 manuscript, 36 supporting information), 37 figures (5 main, 32 supporting information)

Published
2023
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18. Isatuximab, lenalidomide, dexamethasone and bortezomib in transplant-ineligible multiple myeloma: the randomized phase 3 BENEFIT trial

Author

Leleu, Xavier, Hulin, Cyrille, Lambert, Jerome, Bobin, Arthur, Perrot, Aurore, Karlin, Lionel, Roussel, Murielle, Montes, Lydia, Cherel, Brieuc, Chalopin, Thomas, Slama, Borhane, Chretien, Marie-Lorraine, Laribi, Kamel, Dingremont, Claire, Roul, Christophe, Mariette, Clara, Rigaudeau, Sophie, Calmettes, Claire, Dib, Mamoun, Tiab, Mourad, Vincent, Laure, Delaunay, Jacques, Santagostino, Alberto, Macro, Margaret, Bourgeois, Emmanuelle, Orsini-Piocelle, Frederique, Gay, Julie, Bareau, Benoit, Bigot, Noemie, Vergez, François, Lebreton, Pierre, Tabrizi, Reza, Waultier-Rascalou, Agathe, Frenzel, Laurent, Le Calloch, Ronan, Chalayer, Emilie, Braun, Thorsten, Lachenal, Florence, Corm, Selim, Kennel, Celine, Belkhir, Rakiba, Bladé, Jean-Sebastien, Joly, Bertrand, Richez-Olivier, Valentine, Gardeney, Helene, Demarquette, Helene, Robu-Cretu, Daniela, Garderet, Laurent, Newinger-Porte, Muriel, Kasmi, Amine, Royer, Bruno, Decaux, Olivier, Arnulf, Bertrand, Belhadj, Karim, Touzeau, Cyrille, Mohty, Mohamad, Manier, Salomon, Moreau, Philippe, Avet-Loiseau, Hervé, Corre, Jill, and Facon, Thierry

Published
2024
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20. Tuning of Ray-Based Channel Model for 5G Indoor Industrial Scenarios

Author

Bhatia, Gurjot Singh, Corre, Yoann, and Di Renzo, Marco

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Networking and Internet Architecture
Abstract

This paper presents an innovative method that can be used to produce deterministic channel models for 5G industrial internet-of-things (IIoT) scenarios. Ray-tracing (RT) channel emulation can capture many of the specific properties of a propagation scenario, which is incredibly beneficial when facing various industrial environments and deployment setups. But the environment's complexity, composed of many metallic objects of different sizes and shapes, pushes the RT tool to its limits. In particular, the scattering or diffusion phenomena can bring significant components. Thus, in this article, the Volcano RT channel simulation is tuned and benchmarked against field measurements found in the literature at two frequencies relevant to 5G industrial networks: 3.7 GHz (mid-band) and 28 GHz (millimeter-wave (mmWave) band), to produce calibrated ray-based channel model. Both specular and diffuse scattering contributions are calculated. Finally, the tuned RT data is compared to measured large-scale parameters, such as the power delay profile (PDP), the cumulative distribution function (CDF) of delay spreads (DSs), both in line-of-sight (LoS) and non-LoS (NLoS) situations and relevant IIoT channel properties are further explored., Comment: copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Published
2023

21. A Joint Fermi-GBM and Swift-BAT Analysis of Gravitational-Wave Candidates from the Third Gravitational-wave Observing Run

Author

Fletcher, C., Wood, J., Hamburg, R., Veres, P., Hui, C. M., Bissaldi, E., Briggs, M. S., Burns, E., Cleveland, W. H., Giles, M. M., Goldstein, A., Hristov, B. A., Kocevski, D., Lesage, S., Mailyan, B., Malacaria, C., Poolakkil, S., von Kienlin, A., Wilson-Hodge, C. A., Team, The Fermi Gamma-ray Burst Monitor, Crnogorčević, M., DeLaunay, J., Tohuvavohu, A., Caputo, R., Cenko, S. B., Laha, S., Parsotan, T., Abbott, R., Abe, H., Acernese, F., Ackley, K., Adhikari, N., Adhikari, R. X., Adkins, V. K., Adya, V. B., Affeldt, C., Agarwal, D., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akutsu, T., Albanesi, S., Alfaidi, R. A., Allocca, A., Altin, P. A., Amato, A., Anand, C., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andrés-Carcasona, M., Andríc, T., Angelova, S. V., Ansoldi, S., Antelis, J. M., Antier, S., Apostolatos, T., Appavuravther, E. Z., Appert, S., Apple, S. K., Arai, K., Araya, A., Araya, M. C., Areeda, J. S., Arène, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., Arun, K. G., Asada, H., Asali, Y., Ashton, G., Aso, Y., Assiduo, M., Melo, S. Assis de Souza, Aston, S. M., Astone, P., Aubin, F., AultONeal, K., Austin, C., Babak, S., Badaracco, F., Bader, M. K. M., Badger, C., Bae, S., Bae, Y., Baer, A. M., Bagnasco, S., Bai, Y., Baird, J., Bajpai, R., Baka, T., Ball, M., Ballardin, G., Ballmer, S. W., Balsamo, A., Baltus, G., Banagiri, S., Banerjee, B., Bankar, D., Barayoga, J. C., Barbieri, C., Barish, B. C., Barker, D., Barneo, P., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Barton, M. A., Bartos, I., Basak, S., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Bazzan, M., Becher, B. R., Becsy, B., Bedakihale, V. M., Beirnaert, F., Bejger, M., Belahcene, I., Benedetto, V., Beniwal, D., Benjamin, M. G., Bennett, T. F., Bentley, J. D., BenYaala, M., Bera, S., Berbel, M., Bergamin, F., Berger, B. K., Bernuzzi, S., Berry, C. P. L., Bersanetti, D., Bertolini, A., Betzwieser, J., Beveridge, D., Bhandare, R., Bhandari, A. V., Bhardwaj, U., Bhatt, R., Bhattacharjee, D., Bhaumik, S., Bianchi, A., Bilenko, I. A., Billingsley, G., Bini, S., Birney, R., Birnholtz, O., Biscans, S., Bischi, M., Biscoveanu, S., Bisht, A., Biswas, B., Bitossi, M., Bizouard, M. A., Blackburn, J. K., Blair, C. D., Blair, D. G., Blair, R. M., Bobba, F., Bode, N., Boër, M., Bogaert, G., Boldrini, M., Bolingbroke, G. N., Bonavena, L. D., Bondu, F., Bonilla, E., Bonnand, R., Booker, P., Boom, B. A., Bork, R., Boschi, V., Bose, N., Bose, S., Bossilkov, V., Boudart, V., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Bramley, A., Branch, A., Branchesi, M., Brau, J. E., Breschi, M., Briant, T., Briggs, J. H., Brillet, A., Brinkmann, M., Brockill, P., Brooks, A. F., Brooks, J., Brown, D. D., Brunett, S., Bruno, G., Bruntz, R., Bryant, J., Bucci, F., Bulik, T., Bulten, H. J., Buonanno, A., Burtnyk, K., Buscicchio, R., Buskulic, D., Buy, C., Byer, R. L., Davies, G. S. Cabourn, Cabras, G., Cabrita, R., Cadonati, L., Caesar, M., Cagnoli, G., Cahillane, C., Bustillo, J. Calderòn, Callaghan, J. D., Callister, T. A., Calloni, E., Cameron, J., Camp, J. B., Canepa, M., Canevarolo, S., Cannavacciuolo, M., Cannon, K. C., Cao, H., Cao, Z., Capocasa, E., Capote, E., Carapella, G., Carbognani, F., Carlassara, M., Carlin, J. B., Carney, M. F., Carpinelli, M., Carrillo, G., Carullo, G., Carver, T. L., Díaz, J. Casanueva, Casentini, C., Castaldi, G., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Subrahmanya, S. Chalathadka, Champion, E., Chan, C. H., Chan, C., Chan, C. L., Chan, K., Chan, M., Chandra, K., Chang, I. P., Chanial, P., Chao, S., Chapman-Bird, C., Charlton, P., Chase, E. A., Chassande-Mottin, E., Chatterjee, C., Chatterjee, Debarati, Chatterjee, Deep, Chaturvedi, M., Chaty, S., Chen, C., Chen, D., Chen, H. Y., Chen, J., Chen, K., Chen, X., Chen, Y. B., Chen, Y. R., Chen, Z., Cheng, H., Cheong, C. K., Cheung, H. Y., Chia, H. Y., Chiadini, F., Chiang, C. Y., Chiarini, G., Chierici, R., Chincarini, A., Chiofalo, M. L., Chiummo, A., Choudhary, R. K., Choudhary, S., Christensen, N., Chu, Q., Chu, Y. K., Chua, S. S. Y., Chung, K. W., Ciani, G., Ciecielag, P., Cieślar, M., Cifaldi, M., Ciobanu, A. A., Ciolfi, R., Cipriano, F., Clara, F., Clark, J. A., Clearwater, P., Clesse, S., Cleva, F., Coccia, E., Codazzo, E., Cohadon, P. F., Cohen, D. E., Colleoni, M., Collette, C. G., Colombo, A., Colpi, M., Compton, C. M., Constancio Jr., M., Conti, L., Cooper, S. J., Corban, P., Corbitt, T. R., Cordero-Carrión, I., Corezzi, S., Corley, K. R., Cornish, N. J., Corre, D., Corsi, A., Cortese, S., Costa, C. A., Cotesta, R., Cottingham, R., Coughlin, M. W., Coulon, J. P., Countryman, S. T., Cousins, B., Couvares, P., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Creighton, J. D. E., Creighton, T. D., Criswell, A. W., Croquette, M., Crowder, S. G., Cudell, J. R., Cullen, T. J., Cumming, A., Cummings, R., Cunningham, L., Cuoco, E., lo, M. Cury, Dabadie, P., Canton, T. Dal, Dall'Osso, S., Dálya, G., Dana, A., D'Angelo, B., Danilishin, S., D'Antonio, S., Danzmann, K., Darsow-Fromm, C., Dasgupta, A., Datrier, L. E. H., Datta, Sayak, Datta, Sayantani, Dattilo, V., Dave, I., Davier, M., Davis, D., Davis, M. C., Daw, E. J., Dean, R., DeBra, D., Deenadayalan, M., Degallaix, J., De Laurentis, M., Deléglise, S., Del Favero, V., De Lillo, F., De Lillo, N., Dell'Aquila, D., Del Pozzo, W., DeMarchi, L. M., De Matteis, F., D'Emilio, V., Demos, N., Dent, T., Depasse, A., De Pietri, R., De Rosa, R., De Rossi, C., DeSalvo, R., De Simone, R., Dhurandhar, S., D'iaz, M. C., Didio, N. 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Z., Sun, L., Sunil, S., Sur, A., Suresh, J., Sutton, P. J., Suzuki, Takamasa, Suzuki, Takanori, Suzuki, Toshikazu, Swinkels, B. L., Szczepańczyk, M. J., Szewczyk, P., Tacca, M., Tagoshi, H., Tait, S. C., Takahashi, H., Takahashi, R., Takano, S., Takeda, H., Takeda, M., Talbot, C. J., Talbot, C., Tanaka, K., Tanaka, Taiki, Tanaka, Takahiro, Tanasijczuk, A. J., Tanioka, S., Tanner, D. B., Tao, D., Tao, L., Tapia, R. D., Martin, E. N. Tapia San, Taranto, C., Taruya, A., Tasson, J. D., Tenorio, R., Terhune, J. E. S., Terkowski, L., Thirugnanasambandam, M. P., Thomas, M., Thomas, P., Thompson, E. E., Thompson, J. E., Thondapu, S. R., Thorne, K. A., Thrane, E., Tiwari, Shubhanshu, Tiwari, Srishti, Tiwari, V., Toivonen, A. M., Tolley, A. E., Tomaru, T., Tomura, T., Tonelli, M., Tornasi, Z., Torres-Forne, A., Torrie, C. I., Melo, I. Tosta e, Toyra, D., Trapananti, A., Travasso, F., Traylor, G., Trevor, M., Tringali, M. C., Tripathee, A., Troiano, L., Trovato, A., Trozzo, L., Trudeau, R. J., Tsai, D., Tsang, K. W., Tsang, T., Tsao, J. S., Tse, M., Tso, R., Tsuchida, S., Tsukada, L., Tsuna, D., Tsutsui, T., Turbang, K., Turconi, M., Tuyenbayev, D., Ubhi, A. S., Uchiyama, T., Udall, R. P., Ueda, A., Uehara, T., Ueno, K., Ueshima, G., Unnikrishnan, C. S., Urban, A. L., Ushiba, T., Utina, A., Vajente, G., Vajpeyi, A., Valdes, G., Valentini, M., Valsan, V., van Bakel, N., van Beuzekom, M., van Dael, M., Brand, J. F. J. van den, Broeck, C. Van Den, Vander-Hyde, D. C., van Haevermaet, H., van Heijningen, J. V., van Putten, M. H. P. M., van Remortel, N., Vardaro, M., Vargas, A. F., Varma, V., Vasuth, M., Vecchio, A., Vedovato, G., Veitch, J., Veitch, P. J., Venneberg, J., Venugopalan, G., Verkindt, D., Verma, P., Verma, Y., Vermeulen, S. M., Veske, D., Vetrano, F., Vicere, A., Vidyant, S., Viets, A. D., Vijaykumar, A., Villa-Ortega, V., Vinet, J. Y., Virtuoso, A., Vitale, S., Vocca, H., von Reis, E. R. G., von Wrangel, J. S. A., Vorvick, C., Vyatchanin, S. P., Wade, L. E., Wade, M., Wagner, K. J., Walet, R. C., Walker, M., Wallace, G. S., Wallace, L., Wang, J., Wang, J. Z., Wang, W. H., Ward, R. L., Warner, J., Was, M., Washimi, T., Washington, N. Y., Watchi, J., Weaver, B., Weaving, C. R., Webster, S. A., Weinert, M., Weinstein, A. J., Weiss, R., Weller, C. M., Weller, R. A., Wellmann, F., Wen, L., Wessels, P., Wette, K., Whelan, J. T., White, D. D., Whiting, B. F., Whittle, C., Wilken, D., Williams, D., Williams, M. J., Williamson, A. R., Willis, J. L., Willke, B., Wilson, D. J., Wipf, C. C., Wlodarczyk, T., Woan, G., Woehler, J., Wofford, J. K., Wong, D., Wong, I. C. F., Wright, M., Wu, C., Wu, D. S., Wu, H., Xiao, D. M. Wysocki L., Yamada, T., Yamamoto, 288 H., Yamamoto, K., Yamamoto, T., Yamashita, K., Yamazaki, R., Yang, F. W., Yang, K. Z., Yang, L., Yang, Y. C., Yang, Y., Yang, Yang, Yap, M. J., Yeeles, D. W., Yeh, S. W., Yelikar, A. B., Ying, M., Yokoyama, J., Yokozawa, T., Yoo, J., Yoshioka, T., Yu, Hang, Yu, Haocun, Yuzurihara, H., Zadrozny, A., Zanolin, M., Zeidler, S., Zelenova, T., Zendri, J. P., Zevin, M., Zhan, M., Zhang, H., Zhang, J., Zhang, L., Zhang, R., Zhang, T., Zhang, Y., Zhao, C., Zhao, G., Zhao, Y., Zhao, Yue, Zhou, R., Zhou, Z., Zhu, X. J., Zhu, Z. H., Zimmerman, A. B., Zucker, M. E., Zweizig, J., Collaboration, The LIGO Scientific, Collaboration, the Virgo, and Collaboration, the KAGRA

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present Fermi Gamma-ray Burst Monitor (Fermi-GBM) and Swift Burst Alert Telescope (Swift-BAT) searches for gamma-ray/X-ray counterparts to gravitational wave (GW) candidate events identified during the third observing run of the Advanced LIGO and Advanced Virgo detectors. Using Fermi-GBM on-board triggers and sub-threshold gamma-ray burst (GRB) candidates found in the Fermi-GBM ground analyses, the Targeted Search and the Untargeted Search, we investigate whether there are any coincident GRBs associated with the GWs. We also search the Swift-BAT rate data around the GW times to determine whether a GRB counterpart is present. No counterparts are found. Using both the Fermi-GBM Targeted Search and the Swift-BAT search, we calculate flux upper limits and present joint upper limits on the gamma-ray luminosity of each GW. Given these limits, we constrain theoretical models for the emission of gamma-rays from binary black hole mergers.

Published
2023

33. Wnt, glucocorticoid and cellular prion protein cooperate to drive a mesenchymal phenotype with poor prognosis in colon cancer

Author

Mouillet-Richard, Sophie, Gougelet, Angélique, Passet, Bruno, Brochard, Camille, Le Corre, Delphine, Pitasi, Caterina Luana, Joubel, Camille, Sroussi, Marine, Gallois, Claire, Lavergne, Julien, Castille, Johan, Vilotte, Marthe, Daniel-Carlier, Nathalie, Pilati, Camilla, de Reyniès, Aurélien, Djouadi, Fatima, Colnot, Sabine, André, Thierry, Taieb, Julien, Vilotte, Jean-Luc, Romagnolo, Béatrice, and Laurent-Puig, Pierre

Published
2024
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37. Next generation phenotyping for diagnosis and phenotype–genotype correlations in Kabuki syndrome

Author

Hennocq, Quentin, Willems, Marjolaine, Amiel, Jeanne, Arpin, Stéphanie, Attie-Bitach, Tania, Bongibault, Thomas, Bouygues, Thomas, Cormier-Daire, Valérie, Corre, Pierre, Dieterich, Klaus, Douillet, Maxime, Feydy, Jean, Galliani, Eva, Giuliano, Fabienne, Lyonnet, Stanislas, Picard, Arnaud, Porntaveetus, Thantrira, Rio, Marlène, Rouxel, Flavien, Shotelersuk, Vorasuk, Toutain, Annick, Yauy, Kevin, Geneviève, David, Khonsari, Roman H., and Garcelon, Nicolas

Published
2024
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39. Efficient Ray-Tracing Channel Emulation in Industrial Environments: An Analysis of Propagation Model Impact

Author

Bhatia, Gurjot Singh, Corre, Yoann, and Di Renzo, M.

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Networking and Internet Architecture
Abstract

Industrial environments are considered to be severe from the point of view of electromagnetic (EM) wave propagation. When dealing with a wide range of industrial environments and deployment setups, ray-tracing channel emulation can capture many distinctive characteristics of a propagation scenario. Ray-tracing tools often require a detailed and accurate description of the propagation scenario. Consequently, industrial environments composed of complex objects can limit the effectiveness of a ray-tracing tool and lead to computationally intensive simulations. This study analyzes the impact of using different propagation models by evaluating the number of allowed ray path interactions and digital scenario representation for an industrial environment. This study is realized using the Volcano ray-tracing tool at frequencies relevant to 5G industrial networks: 2 GHz (mid-band) and 28 GHz (high-band). This analysis can help in enhancing a ray-tracing tool that relies on a digital representation of the propagation environment to produce deterministic channel models for Indoor Factory (InF) scenarios, which can subsequently be used for industrial network design., Comment: copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Published
2023

40. Bypassing the single junction limit with advanced photovoltaic architectures

Author

Lüer, Larry, Peters, Marius, Bornstein, Dan, Corre, Vincent M. Le, Forberich, Karen, Guldi, Dirk, and Brabec, Christoph J.

Subjects
Physics - Applied Physics, Condensed Matter - Materials Science
Abstract

In single-junction photovoltaic (PV) devices, the maximum achievable power conversion efficiency (PCE) is mainly limited by thermalization and transmission losses, because polychromatic solar irradiation cannot be matched to a single bandgap. Several concepts are being investigated to reduce these losses, such as the classical vertical multijunction cells, 'lateral' tandem cells, and multi-exciton generation in the form of photon up- and down-conversion. While in theory, efficiencies exceeding 90% are possible (Landsberg or thermodynamic limit), there are severe practical limitations in terms of processability, cost, and spectral sensitivity. Here, we present a simulation environment based on Bayesian Optimization that is able to predict and optimize the electrical performance of multi-junction architectures, both vertical and lateral, in combination with multi-exciton materials. With respect to vertical stacks, we show that by optimizing bandgap energies of multi-exciton generation (MEG) layers, double junctions can reach efficiencies beyond those of five-junction tandem devices (57%). Moreover, such combinations of MEG and double junction devices would be highly resilient against spectral changes of the incoming sunlight. We point out three main challenges for PV material science to realize such devices. With respect to lateral architectures, we show that MEG layers might allow reducing nonradiative voltage losses following the Energy Gap Law. Finally, we show that the simulation environment is able to use machine learned quantitative structure-property relationships obtained from high-throughput experiments to virtually optimise the active layer (such as, the film thickness and the donor-acceptor ratio) for a given architecture. The simulation environment thus represents an important building block towards a digital twin of PV materials., Comment: 12 pages, 4 images

Published
2023

41. Cutting 'lab-to fab' short: High Throughput Optimization and Process Assessment in Roll-to-Roll Slot Die Coating of Printed Photovoltaics

Author

Wagner, Michael, Distler, Andreas, Corre, Vincent M. Le, Zapf, Simon, Baydar, Burak, Schmidt, Hans-Dieter, Heyder, Madeleine, Forberich, Karen, Lüer, Larry, Brabec, Christoph J., and Egelhaaf, H. -J.

Subjects
Physics - Applied Physics
Abstract

Commercialization of printed photovoltaics requires knowledge of the optimal composition and microstructure of the single layers, and the ability to control these properties over large areas under industrial conditions. While microstructure optimization can be readily achieved by lab scale methods, the transfer from laboratory scale to a pilot production line ('lab to fab') is a slow and cumbersome process. Here, we show how we can optimize the performance of organic solar cells and at the same time assess process performance in a 2D combinatorial approach directly on an industrially relevant slot die coating line. This is enabled by a multi-nozzle slot die coating head allowing parameter variations along and across the web. This modification allows us to generate and analyze 3750 devices in a single coating run, varying the active layer donor:acceptor ratio and the thickness of the electron transport layer (ETL). We use Gaussian Process Regression (GPR) to exploit the whole dataset for precise determination of the optimal parameter combination. Performance-relevant features of the active layer morphology are inferred from UV-Vis absorption spectra. By mapping morphology in this way, small undesired gradients of process conditions (extrusion rates, annealing temperatures) are detected and their effect on device performance is quantified. The correlation between process parameters, morphology and performance obtained by GPR provides hints to the underlying physics, which are finally quantified by automated high-throughput drift-diffusion simulations. This leads to the conclusion that voltage losses which are observed for very thin ETL coatings are due to incomplete coverage of the electrode by the ETL, which cause enhanced surface recombination., Comment: 13 pages, 5 figures

Published
2023

42. Biophysical Model for Signal-Embedded Droplet Soaking into 2D Cell Culture

Author

Isik, Ibrahim, Arjmandi, Hamidreza, Corre, Christophe, and Noel, Adam

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Using agar plates hosting a 2D cell population stimulated with signaling molecules is crucial for experiments such as gene regulation and drug discovery in a wide range of biological studies. In this paper, a biophysical model is proposed that incorporates droplet soaking, diffusion of molecules within agar, cell growth over an agar surface, and absorption of signaling molecules by cells. The proposed model describes the channel response and provides valuable insights for designing experiments more efficiently and accurately. The molecule release rate due to droplet soaking into agar, which is characterized and modeled as the source term for the diffusion model, is derived. Furthermore, cell growth is considered over the surface, which dictates the dynamics of signaling molecule reactions and leads to a variable boundary condition. As a case study, genetically-modified $E.\,coli$ bacteria are spread over the surface of agar and Isopropyl-beta-D thiogalactopyranoside (IPTG) is considered as a signaling molecule. IPTG droplets are dropped onto the bacteria-covered agar surface. The parameters for the IPTG molecule release rate as a diffusion source into the agar are estimated from this experiment. Then, a particle-based simulator is used to obtain the spatio-temporal profile of the signaling molecules received by the surface bacteria. The results indicate that the number of molecules reacting with or absorbed by bacteria at different locations on the surface could be widely different, which highlights the importance of taking this variation into account for biological inferences., Comment: Submitted to ACM Nanocom 2023 conference

Published
2023

43. Mineralogical Characterization and Phase Angle Study of Two Binary Near-Earth Asteroids, Potential Targets for NASA's Janus Mission

Author

Corre, Lucille Le, Sanchez, Juan A., Reddy, Vishnu, Battle, Adam, Cantillo, David, Sharkey, Benjamin, Jedicke, Robert, and Scheeres, Daniel

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

Ground-based characterization of spacecraft targets prior to mission operations is critical to properly plan and execute measurements. Understanding surface properties, like mineralogical composition and phase curves (expected brightness at different viewing geometries) informs data acquisition during the flybys. Binary near-Earth asteroids (NEA) (35107) 1991 VH and (175706) 1996 FG3 were selected as potential targets of the National Aeronautics and Space Administration's (NASA) dual spacecraft Janus mission. We observed 1991 VH using the 3-m NASA Infrared Telescope Facility (IRTF) on Mauna Kea, Hawaii, on July 26, 2008. 1996 FG3 was observed with the IRTF for seven nights during the spring of 2022. Compositional analysis of 1991 VH revealed that this NEA is classified as an Sq-type in the Bus-DeMeo taxonomy classification, with a composition consistent with LL ordinary chondrites. Using thermal modeling, we computed the thermally corrected spectra for 1996 FG3 and the corresponding best fit albedo of about 2-3% for the best spectra averaged for each night. Our spectral analysis indicates that this NEA is a Ch-type. The best possible meteorite analogs for 1996 FG3, based on curve matching, are two carbonaceous chondrites, Y-86789 and Murchison. No rotational variation was detected in the spectra of 1996 FG3, which means there may not be any heterogeneities on the surface of the primary. However, a clear phase reddening effect was observed in our data, confirming findings from previous ground-based studies., Comment: 18 pages, 8 figures, 1 table, accepted for publication in the Planetary Science Journal

Published
2023
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44. A major role for CD4+ T cells in driving cytokine release syndrome during CAR T cell therapy.

Author

Boulch, Morgane, Cazaux, Marine, Cuffel, Alexis, Ruggiu, Mathilde, Allain, Vincent, Corre, Béatrice, Loe-Mie, Yann, Hosten, Benoit, Cisternino, Salvatore, Auvity, Sylvain, Thieblemont, Catherine, Caillat-Zucman, Sophie, and Bousso, Philippe

Subjects
CD4(+) T cells, IFN-γ, chimeric antigen receptor T cells, cytokine release syndrome, lymphoma, toxicities, Humans, Animals, Mice, Cytokine Release Syndrome, Immunotherapy, Adoptive, CD8-Positive T-Lymphocytes, Antigens, CD19, CD4-Positive T-Lymphocytes
Abstract

Anti-CD19 chimeric antigen receptor (CAR) T cell therapy represents a breakthrough for the treatment of B cell malignancies. Yet, it can lead to severe adverse events, including cytokine release syndrome (CRS), which may require urgent clinical management. Whether interpatient variability in CAR T cell subsets contributes to CRS is unclear. Here, we show that CD4+ CAR T cells are the main drivers of CRS. Using an immunocompetent model of anti-CD19 CAR T cell therapy, we report that CD4+, but not CD8+, CAR T cells elicit physiological CRS-like manifestations associated with the release of inflammatory cytokines. In CAR T cell-treated patients, CRS occurrence and severity are significantly associated with high absolute values of CD4+ CAR T cells in the blood. CRS in mice occurs independently of CAR T cell-derived interferon γ (IFN-γ) but requires elevated tumor burden. Thus, adjusting the CD4:CD8 CAR T cell ratio to patient tumor load may help mitigate CAR T cell-associated toxicities.

Published
2023

45. Ion-induced field screening as a dominant factor in perovskite solar cell operational stability

Author

Thiesbrummel, Jarla, Shah, Sahil, Gutierrez-Partida, Emilio, Zu, Fengshuo, Peña-Camargo, Francisco, Zeiske, Stefan, Diekmann, Jonas, Ye, Fangyuan, Peters, Karol P., Brinkmann, Kai O., Caprioglio, Pietro, Dasgupta, Akash, Seo, Seongrok, Adeleye, Fatai A., Warby, Jonathan, Jeangros, Quentin, Lang, Felix, Zhang, Shuo, Albrecht, Steve, Riedl, Thomas, Armin, Ardalan, Neher, Dieter, Koch, Norbert, Wu, Yongzhen, Le Corre, Vincent M., Snaith, Henry, and Stolterfoht, Martin

Published
2024
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49. Search for gravitational-wave transients associated with magnetar bursts in Advanced LIGO and Advanced Virgo data from the third observing run

Author

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration, Abbott, R., Abe, H., Acernese, F., Ackley, K., Adhikari, N., Adhikari, R. X., Adkins, V. K., Adya, V. B., Affeldt, C., Agarwal, D., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akutsu, T., Albanesi, S., Alfaidi, R. A., Allocca, A., Altin, P. A., Amato, A., Anand, C., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andrés-Carcasona, M., Andrić, T., Angelova, S. V., Ansoldi, S., Antelis, J. M., Antier, S., Apostolatos, T., Appavuravther, E. Z., Appert, S., Apple, S. K., Arai, K., Araya, A., Araya, M. C., Areeda, J. S., Arène, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., Asada, H., Asali, Y., Ashton, G., Aso, Y., Assiduo, M., Melo, S. Assis de Souza, Aston, S. M., Astone, P., Aubin, F., AultONeal, K., Austin, C., Babak, S., Badaracco, F., Bader, M. K. M., Badger, C., Bae, S., Bae, Y., Baer, A. M., Bagnasco, S., Bai, Y., Baird, J., Bajpai, R., Baka, T., Ball, M., Ballardin, G., Ballmer, S. W., Balsamo, A., Baltus, G., Banagiri, S., Banerjee, B., Bankar, D., Barayoga, J. C., Barbieri, C., Barish, B. C., Barker, D., Barneo, P., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Barton, M. A., Bartos, I., Basak, S., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Bazzan, M., Becher, B. R., Bécsy, B., Bedakihale, V. M., Beirnaert, F., Bejger, M., Belahcene, I., Benedetto, V., Beniwal, D., Benjamin, M. G., Bennett, T. F., Bentley, J. D., BenYaala, M., Bera, S., Berbel, M., Bergamin, F., Berger, B. K., Bernuzzi, S., Bersanetti, D., Bertolini, A., Betzwieser, J., Beveridge, D., Bhandare, R., Bhandari, A. V., Bhardwaj, U., Bhatt, R., Bhattacharjee, D., Bhaumik, S., Bianchi, A., Bilenko, I. A., Billingsley, G., Bini, S., Birney, R., Birnholtz, O., Biscans, S., Bischi, M., Biscoveanu, S., Bisht, A., Biswas, B., Bitossi, M., Bizouard, M. -A., Blackburn, J. K., Blair, C. D., Blair, D. G., Blair, R. M., Bobba, F., Bode, N., Boër, M., Bogaert, G., Boldrini, M., Bolingbroke, G. N., Bonavena, L. D., Bondu, F., Bonilla, E., Bonnand, R., Booker, P., Boom, B. A., Bork, R., Boschi, V., Bose, N., Bose, S., Bossilkov, V., Boudart, V., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Bramley, A., Branch, A., Branchesi, M., Brau, J. E., Breschi, M., Briant, T., Briggs, J. H., Brillet, A., Brinkmann, M., Brockill, P., Brooks, A. F., Brooks, J., Brown, D. D., Brunett, S., Bruno, G., Bruntz, R., Bryant, J., Bucci, F., Bulik, T., Bulten, H. J., Buonanno, A., Burtnyk, K., Buscicchio, R., Buskulic, D., Buy, C., Byer, R. L., Davies, G. S. Cabourn, Cabras, G., Cabrita, R., Cadonati, L., Caesar, M., Cagnoli, G., Cahillane, C., Bustillo, J. Calderón, Callaghan, J. D., Callister, T. A., Calloni, E., Cameron, J., Camp, J. B., Canepa, M., Canevarolo, S., Cannavacciuolo, M., Cannon, K. C., Cao, H., Cao, Z., Capocasa, E., Capote, E., Carapella, G., Carbognani, F., Carlassara, M., Carlin, J. B., Carney, M. F., Carpinelli, M., Carrillo, G., Carullo, G., Carver, T. L., Diaz, J. Casanueva, Casentini, C., Castaldi, G., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Subrahmanya, S. Chalathadka, Champion, E., Chan, C. -H., Chan, C., Chan, C. L., Chan, K., Chan, M., Chandra, K., Chang, I. P., Chanial, P., Chao, S., Chapman-Bird, C., Charlton, P., Chase, E. A., Chassande-Mottin, E., Chatterjee, C., Chatterjee, Debarati, Chatterjee, Deep, Chaturvedi, M., Chaty, S., Chen, C., Chen, D., Chen, H. Y., Chen, J., Chen, K., Chen, X., Chen, Y. -B., Chen, Y. -R., Chen, Z., Cheng, H., Cheong, C. K., Cheung, H. Y., Chia, H. Y., Chiadini, F., Chiang, C-Y., Chiarini, G., Chierici, R., Chincarini, A., Chiofalo, M. L., Chiummo, A., Choudhary, R. K., Choudhary, S., Christensen, N., Chu, Q., Chu, Y-K., Chua, S. S. Y., Chung, K. W., Ciani, G., Ciecielag, P., Cieślar, M., Cifaldi, M., Ciobanu, A. A., Ciolfi, R., Cipriano, F., Clara, F., Clark, J. A., Clearwater, P., Clesse, S., Cleva, F., Coccia, E., Codazzo, E., Cohadon, P. -F., Cohen, D. E., Colleoni, M., Collette, C. G., Colombo, A., Colpi, M., Compton, C. M., Constancio Jr., M., Conti, L., Cooper, S. J., Corban, P., Corbitt, T. R., Cordero-Carrión, I., Corezzi, S., Corley, K. R., Cornish, N. J., Corre, D., Corsi, A., Cortese, S., Costa, C. A., Cotesta, R., Cottingham, R., Coughlin, M. W., Coulon, J. -P., Countryman, S. T., Cousins, B., Couvares, P., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Creighton, J. D. E., Creighton, T. D., Criswell, A. W., Croquette, M., Crowder, S. G., Cudell, J. R., Cullen, T. J., Cumming, A., Cummings, R., Cunningham, L., Cuoco, E., Curyło, M., Dabadie, P., Canton, T. Dal, Dall'Osso, S., Dálya, G., Dana, A., D'Angelo, B., Danilishin, S., D'Antonio, S., Danzmann, K., Darsow-Fromm, C., Dasgupta, A., Datrier, L. E. H., Datta, Sayak, Datta, Sayantani, Dattilo, V., Dave, I., Davier, M., Davis, D., Davis, M. C., Daw, E. J., Dean, R., DeBra, D., Deenadayalan, M., Degallaix, J., De Laurentis, M., Deléglise, S., Del Favero, V., De Lillo, F., De Lillo, N., Dell'Aquila, D., Del Pozzo, W., DeMarchi, L. M., De Matteis, F., D'Emilio, V., Demos, N., Dent, T., Depasse, A., De Pietri, R., De Rosa, R., De Rossi, C., DeSalvo, R., De Simone, R., Dhurandhar, S., Díaz, M. C., Didio, N. A., Dietrich, T., Di Fiore, L., Di Fronzo, C., Di Giorgio, C., Di Giovanni, F., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Di Michele, A., Ding, B., Di Pace, S., Di Palma, I., Di Renzo, F., Divakarla, A. K., Dmitriev, A., Doctor, Z., Donahue, L., D'Onofrio, L., Donovan, F., Dooley, K. L., Doravari, S., Drago, M., Driggers, J. C., Drori, Y., Ducoin, J. -G., Dupej, P., Dupletsa, U., Durante, O., D'Urso, D., Duverne, P. -A., Dwyer, S. E., Eassa, C., Easter, P. J., Ebersold, M., Eckhardt, T., Eddolls, G., Edelman, B., Edo, T. B., Edy, O., Effler, A., Eguchi, S., Eichholz, J., Eikenberry, S. S., Eisenmann, M., Eisenstein, R. A., Ejlli, A., Engelby, E., Enomoto, Y., Errico, L., Essick, R. C., Estellés, H., Estevez, D., Etienne, Z., Etzel, T., Evans, M., Evans, T. M., Evstafyeva, T., Ewing, B. E., Fabrizi, F., Faedi, F., Fafone, V., Fair, H., Fairhurst, S., Fan, P. C., Farah, A. M., Farinon, S., Farr, B., Farr, W. M., Fauchon-Jones, E. J., Favaro, G., Favata, M., Fays, M., Fazio, M., Feicht, J., Fejer, M. M., Fenyvesi, E., Ferguson, D. L., Fernandez-Galiana, A., Ferrante, I., Ferreira, T. A., Fidecaro, F., Figura, P., Fiori, A., Fiori, I., Fishbach, M., Fisher, R. P., Fittipaldi, R., Fiumara, V., Flaminio, R., Floden, E., Fong, H. K., Font, J. A., Fornal, B., Forsyth, P. W. F., Franke, A., Frasca, S., Frasconi, F., Freed, J. P., Frei, Z., Freise, A., Freitas, O., Frey, R., Fritschel, P., Frolov, V. V., Fronzé, G. G., Fujii, Y., Fujikawa, Y., Fujimoto, Y., Fulda, P., Fyffe, M., Gabbard, H. A., Gabella, W. 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Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

Gravitational waves are expected to be produced from neutron star oscillations associated with magnetar giant flares and short bursts. We present the results of a search for short-duration (milliseconds to seconds) and long-duration ($\sim$ 100 s) transient gravitational waves from 13 magnetar short bursts observed during Advanced LIGO, Advanced Virgo and KAGRA's third observation run. These 13 bursts come from two magnetars, SGR 1935$+$2154 and Swift J1818.0$-$1607. We also include three other electromagnetic burst events detected by Fermi GBM which were identified as likely coming from one or more magnetars, but they have no association with a known magnetar. No magnetar giant flares were detected during the analysis period. We find no evidence of gravitational waves associated with any of these 16 bursts. We place upper bounds on the root-sum-square of the integrated gravitational-wave strain that reach $2.2 \times 10^{-23}$ $/\sqrt{\text{Hz}}$ at 100 Hz for the short-duration search and $8.7 \times 10^{-23}$ $/\sqrt{\text{Hz}}$ at $450$ Hz for the long-duration search, given a detection efficiency of 50%. For a ringdown signal at 1590 Hz targeted by the short-duration search the limit is set to $1.8 \times 10^{-22}$ $/\sqrt{\text{Hz}}$. Using the estimated distance to each magnetar, we derive upper bounds on the emitted gravitational-wave energy of $3.2 \times 10^{43}$ erg ($7.3 \times 10^{43}$ erg) for SGR 1935$+$2154 and $8.2 \times 10^{42}$ erg ($2.8 \times 10^{43}$ erg) for Swift J1818.0$-$1607, for the short-duration (long-duration) search. Assuming isotropic emission of electromagnetic radiation of the burst fluences, we constrain the ratio of gravitational-wave energy to electromagnetic energy for bursts from SGR 1935$+$2154 with available fluence information. The lowest of these ratios is $3 \times 10^3$., Comment: 30 pages with appendices, 5 figures, 10 tables

Published
2022

50. Virgo Detector Characterization and Data Quality: results from the O3 run

Author

Acernese, F., Agathos, M., Ain, A., Albanesi, S., Allocca, A., Amato, A., Andrade, T., Andres, N., Andrés-Carcasona, M., Andrić, T., Ansoldi, S., Antier, S., Apostolatos, T., Appavuravther, E. Z., Arène, M., Arnaud, N., Assiduo, M., Melo, S. Assis de Souza, Astone, P., Aubin, F., Babak, S., Badaracco, F., Bader, M. K. M., Bagnasco, S., Baird, J., Baka, T., Ballardin, G., Baltus, G., Banerjee, B., Barbieri, C., Barneo, P., Barone, F., Barsuglia, M., Barta, D., Basti, A., Bawaj, M., Bazzan, M., Beirnaert, F., Bejger, M., Belahcene, I., Benedetto, V., Berbel, M., Bernuzzi, S., Bersanetti, D., Bertolini, A., Bhardwaj, U., Bianchi, A., Bini, S., Bischi, M., Bitossi, M., Bizouard, M. -A., Bobba, F., Boër, M., Bogaert, G., Boldrini, M., Bonavena, L. D., Bondu, F., Bonnand, R., Boom, B. A., Boschi, V., Boudart, V., Bouffanais, Y., Bozzi, A., Bradaschia, C., Branchesi, M., Breschi, M., Briant, T., Brillet, A., Brooks, J., Bruno, G., Bucci, F., Bulik, T., Bulten, H. J., Buskulic, D., Buy, C., Davies, G. S. Cabourn, Cabras, G., Cabrita, R., Cagnoli, G., Calloni, E., Canepa, M., Canevarolo, S., Cannavacciuolo, M., Capocasa, E., Carapella, G., Carbognani, F., Carpinelli, M., Carullo, G., Diaz, J. Casanueva, Casentini, C., Caudill, S., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Chanial, P., Chassande-Mottin, E., Chaty, S., Chiadini, F., Chiarini, G., Chierici, R., Chincarini, A., Chiofalo, M. L., Chiummo, A., Choudhary, S., Christensen, N., Ciani, G., Ciecielag, P., Cieślar, M., Cifaldi, M., Ciolfi, R., Cipriano, F., Clesse, S., Cleva, F., Coccia, E., Codazzo, E., Cohadon, P. -F., Cohen, D. E., Colombo, A., Colpi, M., Conti, L., Cordero-Carrión, I., Corezzi, S., Corre, D., Cortese, S., Coulon, J. -P., Croquette, M., Cudell, J. R., Cuoco, E., Curyło, M., Dabadie, P., Canton, T. Dal, Dall'Osso, S., Dálya, G., D'Angelo, B., Danilishin, S., D'Antonio, S., Dattilo, V., Davier, M., Davis, D., Degallaix, J., De Laurentis, M., Deléglise, S., De Lillo, F., Dell'Aquila, D., Del Pozzo, W., De Matteis, F., Depasse, A., De Pietri, R., De Rosa, R., De Rossi, C., De Simone, R., Di Fiore, L., Di Giorgio, C., Di Giovanni, F., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Di Michele, A., Di Pace, S., Di Palma, I., Di Renzo, F., D'Onofrio, L., Drago, M., Ducoin, J. -G., Dupletsa, U., Durante, O., D'Urso, D., Duverne, P. -A., Eisenmann, M., Errico, L., Estevez, D., Fabrizi, F., Faedi, F., Fafone, V., Farinon, S., Favaro, G., Fays, M., Fenyvesi, E., Ferrante, I., Fidecaro, F., Figura, P., Fiori, A., Fiori, I., Fittipaldi, R., Fiumara, V., Flaminio, R., Font, J. A., Frasca, S., Frasconi, F., Freise, A., Freitas, O., Fronzé, G. G., Gadre, B. U., Gamba, R., Garaventa, B., Garufi, F., Gemme, G., Gennai, A., Ghosh, Archisman, Giacomazzo, B., Giacoppo, L., Giri, P., Gissi, F., Gkaitatzis, S., Goncharov, B., Gosselin, M., Gouaty, R., Grado, A., Granata, M., Granata, V., Greco, G., Grignani, G., Grimaldi, A., Grimm, S. J., Gruning, P., Guerra, D., Guidi, G. M., Guixé, G., Guo, Y., Gupta, P., Haegel, L., Halim, O., Hannuksela, O., Harder, T., Haris, K., Harms, J., Haskell, B., Heidmann, A., Heitmann, H., Hello, P., Hemming, G., Hennes, E., Hild, S., Hofman, D., Hui, V., Idzkowski, B., Iess, A., Iosif, P., Jacqmin, T., Jacquet, P. -E., Jadhav, S. P., Janquart, J., Janssens, K., Jaranowski, P., Juste, V., Kalaghatgi, C., Karathanasis, C., Katsanevas, S., Kéfélian, F., Khetan, N., Koekoek, G., Koley, S., Kolstein, M., Królak, A., Kuijer, P., Lagabbe, P., Laghi, D., Lalleman, M., Lamberts, A., La Rosa, I., Lartaux-Vollard, A., Lazzaro, C., Leaci, P., Lemaître, A., Lenti, M., Leonova, E., Leroy, N., Letendre, N., Leyde, K., Linde, F., London, L., Longo, A., Portilla, M. Lopez, Lorenzini, M., Loriette, V., Losurdo, G., Lumaca, D., Macquet, A., Magazzù, C., Magnozzi, M., Majorana, E., Maksimovic, I., Man, N., Mangano, V., Mantovani, M., Mapelli, M., Marchesoni, F., Pina, D. Marín, Marion, F., Marquina, A., Marsat, S., Martelli, F., Martinez, M., Martinez, V., Masserot, A., Mastrogiovanni, S., Meijer, Q., Menendez-Vazquez, A., Mereni, L., Merzougui, M., Miani, A., Michel, C., Milano, L., Miller, A., Miller, B., Milotti, E., Minenkov, Y., Mir, Ll. M., Miravet-Tenés, M., Montani, M., Morawski, F., Mours, B., Mow-Lowry, C. M., Mozzon, S., Muciaccia, F., Mukherjee, Suvodip, Musenich, R., Nagar, A., Napolano, V., Nardecchia, I., Narola, H., Naticchioni, L., Neilson, J., Nguyen, C., Nissanke, S., Nitoglia, E., Nocera, F., Oganesyan, G., Olivetto, C., Pagano, G., Pagliaroli, G., Palomba, C., Pang, P. T. H., Pannarale, F., Paoletti, F., Paoli, A., Paolone, A., Pappas, G., Pascucci, D., Pasqualetti, A., Passaquieti, R., Passuello, D., Patricelli, B., Pedurand, R., Pegoraro, M., Perego, A., Pereira, A., Périgois, C., Perreca, A., Perriès, S., Pesios, D., Phukon, K. S., Piccinni, O. J., Pichot, M., Piendibene, M., Piergiovanni, F., Pierini, L., Pierro, V., Pillant, G., Pillas, M., Pilo, F., Pinard, L., Pinto, I. M., Pinto, M., Piotrzkowski, K., Placidi, A., Placidi, E., Plastino, W., Poggiani, R., Polini, E., Porter, E. K., Poulton, R., Pracchia, M., Pradier, T., Principe, M., Prodi, G. A., Prosposito, P., Puecher, A., Punturo, M., Puosi, F., Puppo, P., Raaijmakers, G., Radulesco, N., Rapagnani, P., Razzano, M., Regimbau, T., Rei, L., Rettegno, P., Revenu, B., Reza, A., Ricci, F., Riemenschneider, G., Rinaldi, S., Robinet, F., Rocchi, A., Rolland, L., Romanelli, M., Romano, R., Romero, A., Ronchini, S., Rosa, L., Rosińska, D., Roy, S., Rozza, D., Ruggi, P., Sadiq, Jam., Salafia, O. S., Salconi, L., Salemi, F., Samajdar, A., Sanchis-Gual, N., Sanuy, A., Sassolas, B., Sayah, S., Schmidt, S., Seglar-Arroyo, M., Sentenac, D., Sequino, V., Setyawati, Y., Sharma, A., Shcheblanov, N. S., Sieniawska, M., Silenzi, L., Singh, N., Singha, A., Sipala, V., Soldateschi, J., Soni, K., Sordini, V., Sorrentino, F., Sorrentino, N., Soulard, R., Spagnuolo, V., Spera, M., Spinicelli, P., Stachie, C., Steer, D. A., Steinlechner, J., Steinlechner, S., Stergioulas, N., Stratta, G., Suchenek, M., Sur, A., Swinkels, B. L., Szewczyk, P., Tacca, M., Tanasijczuk, A. J., Martín, E. N. Tapia San, Taranto, C., Tolley, A. E., Tonelli, M., Torres-Forné, A., Melo, I. Tosta e, Trapananti, A., Travasso, F., Trevor, Max., Tringali, M. C., Troiano, L., Trovato, A., Trozzo, L., Tsang, K. W., Turbang, K., Turconi, M., Utina, A., Valentini, M., van Bakel, N., van Beuzekom, M., van Dael, M., Brand, J. F. J. van den, Broeck, C. Van Den, van Haevermaet, H., van Heijningen, J. V., van Remortel, N., Vardaro, M., Vasúth, M., Vedovato, G., Verkindt, D., Verma, P., Vetrano, F., Viceré, A., Villa-Ortega, V., Vinet, J. -Y., Virtuoso, A., Vocca, H., Walet, R. C., Was, M., Williamson, A. R., Willis, J. L., Zadrożny, A., Zelenova, T., and Zendri, J. -P.

Subjects
General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave (GW) signals in the past few years, alongside the two Advanced LIGO instruments. First during the last month of the Observation Run 2 (O2) in August 2017 (with, most notably, the compact binary mergers GW170814 and GW170817), and then during the full Observation Run 3 (O3): an 11-months data taking period, between April 2019 and March 2020, that led to the addition of about 80 events to the catalog of transient GW sources maintained by LIGO, Virgo and now KAGRA. These discoveries and the manifold exploitation of the detected waveforms require an accurate characterization of the quality of the data, such as continuous study and monitoring of the detector noise sources. These activities, collectively named {\em detector characterization and data quality} or {\em DetChar}, span the whole workflow of the Virgo data, from the instrument front-end hardware to the final analyses. They are described in details in the following article, with a focus on the results achieved by the Virgo DetChar group during the O3 run. Concurrently, a companion article describes the tools that have been used by the Virgo DetChar group to perform this work., Comment: 57 pages, 18 figures. New version, resubmitted to Class. and Quantum Grav. This is the "Results" part of preprint arXiv:2205.01555 [gr-qc] which has been split into two companion articles: one about the tools and methods, the other about the analyses of the O3 Virgo data

Published
2022
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