Image-based deep learning for classification of noise transients in gravitational wave detectors von Razzano, Massimiliano, Cuoco, Elena

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NICE: A Web-Based Tool for the Characterization of Transient Noise in Gravitational Wave Detectors von Sorrentino, Nunziato, Razzano, Massimiliano, Di Renzo, Francesco, Fidecaro, Francesco, Hemming, Gary

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Prospects for multimessenger detection of binary neutron star mergers in the fourth LIGO–Virgo–KAGRA observing run von Patricelli, Barbara, Bernardini, Maria Grazia, Mapelli, Michela, D’Avanzo, Paolo, Santoliquido, Filippo, Cella, Giancarlo, Razzano, Massimiliano, Cuoco, Elena

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Deep learning to detect gravitational waves from binary close encounters: Fast parameter estimation using normalizing flows von De Santi, Federico, Razzano, Massimiliano, Fidecaro, Francesco, Muccillo, Luca, Papalini, Lucia, Patricelli, Barbara

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GWitchHunters: Machine learning and citizen science to improve the performance of gravitational wave detector von Razzano, Massimiliano, Di Renzo, Francesco, Fidecaro, Francesco, Hemming, Gary, Katsanevas, Stavros

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Proceedings of the 15th Pisa meeting on advanced detectors von Baldini, Luca, Forti, Francesco, Leone, Sandra, Paoletti, Riccardo, Retico, Alessandra, Razzano, Massimiliano

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The multimessenger sky seen by Fermi von Razzano, Massimiliano, Pivato, Giovanna

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Erratum: Prospects for multimessenger detection of binary neutron star mergers in the fourth LIGO–Virgo–KAGRA observing run von Patricelli, Barbara, Bernardini, Maria Grazia, Mapelli, Michela, D’Avanzo, Paolo, Santoliquido, Filippo, Cella, Giancarlo, Razzano, Massimiliano, Cuoco, Elena

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Enhancing gravitational-wave science with machine learning von Cuoco, Elena, Powell, Jade, Cavaglià, Marco, Ackley, Kendall, Bejger, Micha, Chatterjee, Chayan, Coughlin, Michael, Coughlin, Scott, Easter, Paul, Essick, Reed, Gabbard, Hunter, Gebhard, Timothy, Ghosh, Shaon, Haegel, Leïla, Iess, Alberto, Keitel, David, Márka, Zsuzsa, Márka, Szabolcs, Morawski, Filip, Nguyen, Tri, Ormiston, Rich, Pürrer, Michael, Razzano, Massimiliano, Staats, Kai, Vajente, Gabriele, Williams, Daniel

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Seismic isolation systems for next-generation gravitational wave detectors von Razzano, Massimiliano, Spada, Francesca, Balestri, Gabriele, Basti, Andrea, Bellizzi, Lorenzo, De Santi, Federico, Fidecaro, Francesco, Fiori, Alessio, Frasconi, Franco, Gennai, Alberto, Lucchesi, Leonardo, Muccillo, Luca, Orsini, Leonardo, Palaia, Maria Antonietta, Papalini, Lucia, Pilo, Federico, Prosperi, Paolo, Vacatello, Michele

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Site-selection criteria for the Einstein Telescope von Amann, Florian, Bonsignorio, Fabio, Bulik, Tomasz, Bulten, Henk Jan, Cuccuru, Stefano, Dassargues, Alain, DeSalvo, Riccardo, Fenyvesi, Edit, Fidecaro, Francesco, Fiori, Irene, Giunchi, Carlo, Grado, Aniello, Harms, Jan, Koley, Soumen, Kovács, László, Losurdo, Giovanni, Mandic, Vuk, Meyers, Patrick, Naticchioni, Luca, Nguyen, Frédéric, Oggiano, Giacomo, Olivieri, Marco, Paoletti, Federico, Paoli, Andrea, Plastino, Wolfango, Razzano, Massimiliano, Ruggi, Paolo, Saccorotti, Gilberto, Sintes, Alicia M., Somlai, László, Ván, Peter, Vasúth, Matyas

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Sonification of Glitches (GW-EGO) von Casado, Johanna, García, Beatriz, Razzano, Massimiliano, Di Renzo, Francesco, Hemming, Gary

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Citizen science, accessibility, art & science, critical thinking, policy and engagement: thoughts and lessons learned from the REINFORCE experience von Angelidakis, Stylianos, Avgitas, Theodore, Chaniotakis, Emmanouil, Casado, Johanna, Coyle, Paschal, de Wasseige, Gwenhaël, Di Renzo, Francesco, Fabian, Claudia Magdalena, Fassouliotis, Dimitrios, Fidecaro, Francesco, Garcia, Beatriz, Hemming, Gary, Kourkoumelis, Christine, Breton, Rémy Le, Marteau, Jacques, Mureddu, Francesco, Napolano, Vincenzo, Osimanti, Francesco, Oukacha, Enzo, Panagopoulou, Maria, Pearson, James, Razzano, Massimiliano, Sotiriou, Sofoklis, Serjeant, Stephen, Spagnuolo, Francesca, Unterfrauner, Elisabeth, Vourakis, Stylianos

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Pulsar simulation tools for GLAST von Razzano, Massimiliano

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Array analysis of seismic noise at the Sos Enattos mine, the Italian candidate site for the Einstein Telescope von Saccorotti, Gilberto, Giunchi, Carlo, D’Ambrosio, Michele, Gaviano, Sonja, Naticchioni, Luca, D’Urso, Domenico, Rozza, Davide, Cardini, Alessandro, Contu, Andrea, Dordei, Francesca, Cadeddu, Matteo, Tuveri, Matteo, Migoni, Carlo, Punturo, Michele, Allocca, Annalisa, Calloni, Enrico, Cardello, Giovanni Luca, D’Onofrio, Luca, Davari, Nazanin, Dell’Aquila, Daniele, De Rosa, Rosario, Carpinelli, Massimo, Di Fiore, Luciano, di Giovanni, Matteo, Errico, Luciano, Fiori, Irene, Tringali, Maria Concetta, Harms, Jan, Koley, Soumen, Longo, Vittorio, Majorana, Ettore, Mangano, Valentina, Olivieri, Marco, Paoletti, Federico, Pesenti, Luca, Puppo, Paola, Rapagnani, Piero, Razzano, Massimiliano, Ricci, Fulvio, Sipala, Valeria, Tosta e Melo, Iara, Trozzo, Lucia

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THE IDENTIFICATION OF THE X-RAY COUNTERPART TO PSR J2021+4026 von WEISSKOPF, Martin C, ROMANI, Roger W, ZIEGLER, Marcus, BECKER, Werner, DE LUCA, Andrea, DORMODY, Michael, THOMPSON, David J, KANBACH, Gottfried, ELSNER, Ronald F, O'DELL, Stephen L, TENANT, Allyn F, RAZZANO, Massimiliano, BELFIORE, Andrea, SAZ PARKINSON, Pablo, RAY, Paul S, KERR, Matthew, HARDING, Alice, SWARTZ, Douglas A, CARRAMINANA, Alberto

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Studies on the high-energy follow-up of gravitational wave transient events von Razzano, Massimiliano, Patricelli, Barbara, Cella, Giancarlo, Fidecaro, Francesco, Pian, Elena, Stamerra, Antonio, Branchesi, Marica

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GWitchHunters open classification data von Razzano, Massimiliano

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THE IDENTIFICATION OF THE X-RAY COUNTERPART TO PSR J2021+4026 von Weisskopf, Martin C

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Image-based deep learning for classification of noise transients in gravitational wave detectors von Razzano, Massimiliano, Cuoco, Elena

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