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1. The PLATO Mission

Author

Rauer, Heike, Aerts, Conny, Cabrera, Juan, Deleuil, Magali, Erikson, Anders, Gizon, Laurent, Goupil, Mariejo, Heras, Ana, Lorenzo-Alvarez, Jose, Marliani, Filippo, Martin-Garcia, César, Mas-Hesse, J. Miguel, O'Rourke, Laurence, Osborn, Hugh, Pagano, Isabella, Piotto, Giampaolo, Pollacco, Don, Ragazzoni, Roberto, Ramsay, Gavin, Udry, Stéphane, Appourchaux, Thierry, Benz, Willy, Brandeker, Alexis, Güdel, Manuel, Janot-Pacheco, Eduardo, Kabath, Petr, Kjeldsen, Hans, Min, Michiel, Santos, Nuno, Smith, Alan, Suarez, Juan-Carlos, Werner, Stephanie C., Aboudan, Alessio, Abreu, Manuel, a, Lorena Acu, Adams, Moritz, Adibekyan, Vardan, Affer, Laura, Agneray, François, Agnor, Craig, Børsen-Koch, Victor Aguirre, Ahmed, Saad, Aigrain, Suzanne, Al-Bahlawan, Ashraf, Gil, M de los Angeles Alcacera, Alei, Eleonora, Alencar, Silvia, Alexander, Richard, Alfonso-Garzón, Julia, Alibert, Yann, Prieto, Carlos Allende, Almeida, Leonardo, Sobrino, Roi Alonso, Altavilla, Giuseppe, Althaus, Christian, Trujillo, Luis Alonso Alvarez, Amarsi, Anish, Eiff, Matthias Ammler-von, Amôres, Eduardo, Andrade, Laerte, Antoniadis-Karnavas, Alexandros, António, Carlos, del Moral, Beatriz Aparicio, Appolloni, Matteo, Arena, Claudio, Armstrong, David, Aliaga, Jose Aroca, Asplund, Martin, Audenaert, Jeroen, Auricchio, Natalia, Avelino, Pedro, Baeke, Ann, Baillié, Kevin, Balado, Ana, Balagueró, Pau Ballber, Balestra, Andrea, Ball, Warrick, Ballans, Herve, Ballot, Jerome, Barban, Caroline, Barbary, Gaële, Barbieri, Mauro, Forteza, Sebasti Barceló, Barker, Adrian, Barklem, Paul, Barnes, Sydney, Navascues, David Barrado, Barragan, Oscar, Baruteau, Clément, Basu, Sarbani, Baudin, Frederic, Baumeister, Philipp, Bayliss, Daniel, Bazot, Michael, Beck, Paul G., Bedding, Tim, Belkacem, Kevin, Bellinger, Earl, Benatti, Serena, Benomar, Othman, Bérard, Diane, Bergemann, Maria, Bergomi, Maria, Bernardo, Pierre, Biazzo, Katia, Bignamini, Andrea, Bigot, Lionel, Billot, Nicolas, Binet, Martin, Biondi, David, Biondi, Federico, Birch, Aaron C., Bitsch, Bertram, Ceballos, Paz Victoria Bluhm, Bódi, Attila, Bognár, Zsófia, Boisse, Isabelle, Bolmont, Emeline, Bonanno, Alfio, Bonavita, Mariangela, Bonfanti, Andrea, Bonfils, Xavier, Bonito, Rosaria, Bonomo, Aldo Stefano, Börner, Anko, Saikia, Sudeshna Boro, Martín, Elisa Borreguero, Borsa, Francesco, Borsato, Luca, Bossini, Diego, Bouchy, Francois, Boué, Gwenaël, Boufleur, Rodrigo, Boumier, Patrick, Bourrier, Vincent, Bowman, Dominic M., Bozzo, Enrico, Bradley, Louisa, Bray, John, Bressan, Alessandro, Breton, Sylvain, Brienza, Daniele, Brito, Ana, Brogi, Matteo, Brown, Beverly, Brown, David J. A., Brun, Allan Sacha, Bruno, Giovanni, Bruns, Michael, Buchhave, Lars A., Bugnet, Lisa, Buldgen, Gaël, Burgess, Patrick, Busatta, Andrea, Busso, Giorgia, Buzasi, Derek, Caballero, José A., Cabral, Alexandre, Gomez, Juan-Francisco Cabrero, Calderone, Flavia, Cameron, Robert, Cameron, Andrew, Campante, Tiago, Gestal, Néstor Campos, Martins, Bruno Leonardo Canto, Cara, Christophe, Carone, Ludmila, Carrasco, Josep Manel, Casagrande, Luca, Casewell, Sarah L., Cassisi, Santi, Castellani, Marco, Castro, Matthieu, Catala, Claude, Fernández, Irene Catalán, Catelan, Márcio, Cegla, Heather, Cerruti, Chiara, Cessa, Virginie, Chadid, Merieme, Chaplin, William, Charpinet, Stephane, Chiappini, Cristina, Chiarucci, Simone, Chiavassa, Andrea, Chinellato, Simonetta, Chirulli, Giovanni, Christensen-Dalsgaard, Jørgen, Church, Ross, Claret, Antonio, Clarke, Cathie, Claudi, Riccardo, Clermont, Lionel, Coelho, Hugo, Coelho, Joao, Cogato, Fabrizio, Colomé, Josep, Condamin, Mathieu, García, Fernando Conde, Conseil, Simon, Corbard, Thierry, Correia, Alexandre C. M., Corsaro, Enrico, Cosentino, Rosario, Costes, Jean, Cottinelli, Andrea, Covone, Giovanni, Creevey, Orlagh L., Crida, Aurelien, Csizmadia, Szilard, Cunha, Margarida, Curry, Patrick, da Costa, Jefferson, da Silva, Francys, Dalal, Shweta, Damasso, Mario, Damiani, Cilia, Damiani, Francesco, Chagas, Maria Liduina das, Davies, Melvyn, Davies, Guy, Davies, Ben, Davison, Gary, de Almeida, Leandro, de Angeli, Francesca, de Barros, Susana Cristina Cabral, Leão, Izan de Castro, de Freitas, Daniel Brito, de Freitas, Marcia Cristina, De Martino, Domitilla, de Medeiros, José Renan, de Paula, Luiz Alberto, Gómez, Álvaro de Pedraza, de Plaa, Jelle, De Ridder, Joris, Deal, Morgan, Decin, Leen, Deeg, Hans, Innocenti, Scilla Degl, Deheuvels, Sebastien, del Burgo, Carlos, Del Sordo, Fabio, Delgado-Mena, Elisa, Demangeon, Olivier, Denk, Tilmann, Derekas, Aliz, Desert, Jean-Michel, Desidera, Silvano, Dexet, Marc, Di Criscienzo, Marcella, Di Giorgio, Anna Maria, Di Mauro, Maria Pia, Rial, Federico Jose Diaz, Díaz-García, José-Javier, Dima, Marco, Dinuzzi, Giacomo, Dionatos, Odysseas, Distefano, Elisa, Nascimento Jr., Jose-Dias do, Domingo, Albert, D'Orazi, Valentina, Dorn, Caroline, Doyle, Lauren, Duarte, Elena, Ducellier, Florent, Dumaye, Luc, Dumusque, Xavier, Dupret, Marc-Antoine, Eggenberger, Patrick, Ehrenreich, David, Eigmüller, Philipp, Eising, Johannes, Emilio, Marcelo, Eriksson, Kjell, Ermocida, Marco, Giribaldi, Riano Isidoro Escate, Eschen, Yoshi, ez, Lucía Espinosa Yá, Estrela, In s, Evans, Dafydd Wyn, Fabbian, Damian, Fabrizio, Michele, Faria, João Pedro, Farina, Maria, Farinato, Jacopo, Feliz, Dax, Feltzing, Sofia, Fenouillet, Thomas, Fernández, Miguel, Ferrari, Lorenza, Ferraz-Mello, Sylvio, Fialho, Fabio, Fienga, Agnes, Figueira, Pedro, Fiori, Laura, Flaccomio, Ettore, Focardi, Mauro, Foley, Steve, Fontignie, Jean, Ford, Dominic, Fornazier, Karin, Forveille, Thierry, Fossati, Luca, Franca, Rodrigo de Marca, da Silva, Lucas Franco, Frasca, Antonio, Fridlund, Malcolm, Furlan, Marco, Gabler, Sarah-Maria, Gaido, Marco, Gallagher, Andrew, Sempere, Paloma I. Gallego, Galli, Emanuele, García, Rafael A., Hernández, Antonio García, Munoz, Antonio Garcia, García-Vázquez, Hugo, Haba, Rafael Garrido, Gaulme, Patrick, Gauthier, Nicolas, Gehan, Charlotte, Gent, Matthew, Georgieva, Iskra, Ghigo, Mauro, Giana, Edoardo, Gill, Samuel, Girardi, Leo, Winter, Silvia Giuliatti, Giusi, Giovanni, da Silva, João Gomes, Zazo, Luis Jorge Gómez, Gomez-Lopez, Juan Manuel, Hernández, Jonay Isai González, Murillo, Kevin Gonzalez, Melchor, Alejandro Gonzalo, Gorius, Nicolas, Gouel, Pierre-Vincent, Goulty, Duncan, Granata, Valentina, Grenfell, John Lee, bach, Denis Grie, Grolleau, Emmanuel, Grouffal, Salomé, Grziwa, Sascha, Guarcello, Mario Giuseppe, Gueguen, Lo c, Guenther, Eike Wolf, Guilhem, Terrasa, Guillerot, Lucas, Guillot, Tristan, Guiot, Pierre, Guterman, Pascal, Gutiérrez, Antonio, Gutiérrez-Canales, Fernando, Hagelberg, Janis, Haldemann, Jonas, Hall, Cassandra, Handberg, Rasmus, Harrison, Ian, Harrison, Diana L., Hasiba, Johann, Haswell, Carole A., Hatalova, Petra, Hatzes, Artie, Haywood, Raphaelle, Hébrard, Guillaume, Heckes, Frank, Heiter, Ulrike, Hekker, Saskia, Heller, René, Helling, Christiane, Helminiak, Krzysztof, Hemsley, Simon, Heng, Kevin, Herbst, Konstantin, Hermans, Aline, Hermes, JJ, Torres, Nadia Hidalgo, Hinkel, Natalie, Hobbs, David, Hodgkin, Simon, Hofmann, Karl, Hojjatpanah, Saeed, Houdek, Günter, Huber, Daniel, Huesler, Joseph, Hui-Bon-Hoa, Alain, Huygen, Rik, Huynh, Duc-Dat, Iro, Nicolas, Irwin, Jonathan, Irwin, Mike, Izidoro, André, Jacquinod, Sophie, Jannsen, Nicholas Emborg, Janson, Markus, Jeszenszky, Harald, Jiang, Chen, Mancebo, Antonio José Jimenez, Jofre, Paula, Johansen, Anders, Johnston, Cole, Jones, Geraint, Kallinger, Thomas, Kálmán, Szilárd, Kanitz, Thomas, Karjalainen, Marie, Karjalainen, Raine, Karoff, Christoffer, Kawaler, Steven, Kawata, Daisuke, Keereman, Arnoud, Keiderling, David, Kennedy, Tom, Kenworthy, Matthew, Kerschbaum, Franz, Kidger, Mark, Kiefer, Flavien, Kintziger, Christian, Kislyakova, Kristina, Kiss, László, Klagyivik, Peter, Klahr, Hubert, Klevas, Jonas, Kochukhov, Oleg, Köhler, Ulrich, Kolb, Ulrich, Koncz, Alexander, Korth, Judith, Kostogryz, Nadiia, Kovács, Gábor, Kovács, József, Kozhura, Oleg, Krivova, Natalie, Kucinskas, Arunas, Kuhlemann, Ilyas, Kupka, Friedrich, Laauwen, Wouter, Labiano, Alvaro, Lagarde, Nadege, Laget, Philippe, Laky, Gunter, Lam, Kristine Wai Fun, Lambrechts, Michiel, Lammer, Helmut, Lanza, Antonino Francesco, Lanzafame, Alessandro, Martiz, Mariel Lares, Laskar, Jacques, Latter, Henrik, Lavanant, Tony, Lawrenson, Alastair, Lazzoni, Cecilia, Lebre, Agnes, Lebreton, Yveline, Etangs, Alain Lecavelier des, Lee, Katherine, Leinhardt, Zoe, Leleu, Adrien, Lendl, Monika, Leto, Giuseppe, Levillain, Yves, Libert, Anne-Sophie, Lichtenberg, Tim, Ligi, Roxanne, Lignieres, Francois, Lillo-Box, Jorge, Linsky, Jeffrey, Liu, John Scige, Loidolt, Dominik, Longval, Yuying, Lopes, Ilídio, Lorenzani, Andrea, Ludwig, Hans-Guenter, Lund, Mikkel, Lundkvist, Mia Sloth, Luri, Xavier, Maceroni, Carla, Madden, Sean, Madhusudhan, Nikku, Maggio, Antonio, Magliano, Christian, Magrin, Demetrio, Mahy, Laurent, Maibaum, Olaf, Malac-Allain, LeeRoy, Malapert, Jean-Christophe, Malavolta, Luca, Maldonado, Jesus, Mamonova, Elena, Manchon, Louis, Manjón, Andres, Mann, Andrew, Mantovan, Giacomo, Marafatto, Luca, Marconi, Marcella, Mardling, Rosemary, Marigo, Paola, Marinoni, Silvia, Marques, rico, Marques, Joao Pedro, Marrese, Paola Maria, Marshall, Douglas, Perales, Silvia Martínez, Mary, David, Marzari, Francesco, Masana, Eduard, Mascher, Andrina, Mathis, Stéphane, Mathur, Savita, Vodopivec, Iris Martín, Figueiredo, Ana Carolina Mattiuci, Maxted, Pierre F. L., Mazeh, Tsevi, Mazevet, Stephane, Mazzei, Francesco, McCormac, James, McMillan, Paul, Menou, Lucas, Merle, Thibault, Meru, Farzana, Mesa, Dino, Messina, Sergio, Mészáros, Szabolcs, Meunier, Nadége, Meunier, Jean-Charles, Micela, Giuseppina, Michaelis, Harald, Michel, Eric, Michielsen, Mathias, Michtchenko, Tatiana, Miglio, Andrea, Miguel, Yamila, Milligan, David, Mirouh, Giovanni, Mitchell, Morgan, Moedas, Nuno, Molendini, Francesca, Molnár, László, Mombarg, Joey, Montalban, Josefina, Montalto, Marco, Monteiro, Mário J. P. F. G., Sánchez, Francisco Montoro, Morales, Juan Carlos, Morales-Calderon, Maria, Morbidelli, Alessandro, Mordasini, Christoph, Moreau, Chrystel, Morel, Thierry, Morello, Guiseppe, Morin, Julien, Mortier, Annelies, Mosser, Beno t, Mourard, Denis, Mousis, Olivier, Moutou, Claire, Mowlavi, Nami, Moya, Andrés, Muehlmann, Prisca, Muirhead, Philip, Munari, Matteo, Musella, Ilaria, Mustill, Alexander James, Nardetto, Nicolas, Nardiello, Domenico, Narita, Norio, Nascimbeni, Valerio, Nash, Anna, Neiner, Coralie, Nelson, Richard P., Nettelmann, Nadine, Nicolini, Gianalfredo, Nielsen, Martin, Niemi, Sami-Matias, Noack, Lena, Noels-Grotsch, Arlette, Noll, Anthony, Norazman, Azib, Norton, Andrew J., Nsamba, Benard, Ofir, Aviv, Ogilvie, Gordon, Olander, Terese, Olivetto, Christian, Olofsson, Göran, Ong, Joel, Ortolani, Sergio, Oshagh, Mahmoudreza, Ottacher, Harald, Ottensamer, Roland, Ouazzani, Rhita-Maria, Paardekooper, Sijme-Jan, Pace, Emanuele, Pajas, Miriam, Palacios, Ana, Palandri, Gaelle, Palle, Enric, Paproth, Carsten, Parro, Vanderlei, Parviainen, Hannu, Granado, Javier Pascual, Passegger, Vera Maria, Pastor-Morales, Carmen, Pätzold, Martin, Pedersen, May Gade, Hidalgo, David Pena, Pepe, Francesco, Pereira, Filipe, Persson, Carina M., Pertenais, Martin, Peter, Gisbert, Petit, Antoine C., Petit, Pascal, Pezzuto, Stefania, Pichierri, Gabriele, Pietrinferni, Adriano, Pinheiro, Fernando, Pinsonneault, Marc, Plachy, Emese, Plasson, Philippe, Plez, Bertrand, Poppenhaeger, Katja, Poretti, Ennio, Portaluri, Elisa, Portell, Jordi, de Mello, Gustavo Frederico Porto, Poyatos, Julien, Pozuelos, Francisco J., Moroni, Pier Giorgio Prada, Pricopi, Dumitru, Prisinzano, Loredana, Quade, Matthias, Quirrenbach, Andreas, Reina, Julio Arturo Rabanal, Soares, Maria Cristina Rabello, Raimondo, Gabriella, Rainer, Monica, Rodón, Jose Ramón, Ramón-Ballesta, Alejandro, Zapata, Gonzalo Ramos, Rätz, Stefanie, Rauterberg, Christoph, Redman, Bob, Redmer, Ronald, Reese, Daniel, Regibo, Sara, Reiners, Ansgar, Reinhold, Timo, Renie, Christian, Ribas, Ignasi, Ribeiro, Sergio, Ricciardi, Thiago Pereira, Rice, Ken, Richard, Olivier, Riello, Marco, Rieutord, Michel, Ripepi, Vincenzo, Rixon, Guy, Rockstein, Steve, Ortiz, José Ramón Rodón, Rodríguez, María Teresa Rodrigo, Amor, Alberto Rodríguez, Díaz, Luisa Fernanda Rodríguez, Garcia, Juan Pablo Rodriguez, Rodriguez-Gomez, Julio, Roehlly, Yannick, Roig, Fernando, Rojas-Ayala, Bárbara, Rolf, Tobias, Rørsted, Jakob Lysgaard, Rosado, Hugo, Rosotti, Giovanni, Roth, Olivier, Roth, Markus, Rousseau, Alex, Roxburgh, Ian, Roy, Fabrice, Royer, Pierre, Ruane, Kirk, Mastropasqua, Sergio Rufini, de Galarreta, Claudia Ruiz, Russi, Andrea, Saar, Steven, Saillenfest, Melaine, Salaris, Maurizio, Salmon, Sebastien, Saltas, Ippocratis, Samadi, Réza, Samadi, Aunia, Samra, Dominic, da Silva, Tiago Sanches, Carrasco, Miguel Andrés Sánchez, Santerne, Alexandre, Pé, Amaia Santiago, Santoli, Francesco, Santos, ngela R. G., Mesa, Rosario Sanz, Sarro, Luis Manuel, Scandariato, Gaetano, Schäfer, Martin, Schlafly, Edward, Schmider, François-Xavier, Schneider, Jean, Schou, Jesper, Schunker, Hannah, Schwarzkopf, Gabriel Jörg, Serenelli, Aldo, Seynaeve, Dries, Shan, Yutong, Shapiro, Alexander, Shipman, Russel, Sicilia, Daniela, sanmartin, Maria Angeles Sierra, Sigot, Axelle, Silliman, Kyle, Silvotti, Roberto, Simon, Attila E., Napoli, Ricardo Simoyama, Skarka, Marek, Smalley, Barry, Smiljanic, Rodolfo, Smit, Samuel, Smith, Alexis, Smith, Leigh, Snellen, Ignas, Sódor, Ádám, Sohl, Frank, Solanki, Sami K., Sortino, Francesca, Sousa, Sérgio, Southworth, John, Souto, Diogo, Sozzetti, Alessandro, Stamatellos, Dimitris, Stassun, Keivan, Steller, Manfred, Stello, Dennis, Stelzer, Beate, Stiebeler, Ulrike, Stokholm, Amalie, Storelvmo, Trude, Strassmeier, Klaus, Strøm, Paul Anthony, Strugarek, Antoine, Sulis, Sophia, vanda, Michal, Szabados, László, Szabó, Róbert, Szabó, Gyula M., Szuszkiewicz, Ewa, Talens, Geert Jan, Teti, Daniele, Theisen, Tom, Thévenin, Frédéric, Thoul, Anne, Tiphene, Didier, Titz-Weider, Ruth, Tkachenko, Andrew, Tomecki, Daniel, Tonfat, Jorge, Tosi, Nicola, Trampedach, Regner, Traven, Gregor, Triaud, Amaury, Trønnes, Reidar, Tsantaki, Maria, Tschentscher, Matthias, Turin, Arnaud, Tvaruzka, Adam, Ulmer, Bernd, Ulmer-Moll, Solène, Ulusoy, Ceren, Umbriaco, Gabriele, Valencia, Diana, Valentini, Marica, Valio, Adriana, Guijarro, Ángel Luis Valverde, Van Eylen, Vincent, Van Grootel, Valerie, van Kempen, Tim A., Van Reeth, Timothy, Van Zelst, Iris, Vandenbussche, Bart, Vasiliou, Konstantinos, Vasilyev, Valeriy, de Mascarenhas, David Vaz, Vazan, Allona, Nunez, Marina Vela, Velloso, Eduardo Nunes, Ventura, Rita, Ventura, Paolo, Venturini, Julia, Trallero, Isabel Vera, Veras, Dimitri, Verdugo, Eva, Verma, Kuldeep, Vibert, Didier, Martinez, Tobias Vicanek, Vida, Krisztián, Vigan, Arthur, Villacorta, Antonio, Villaver, Eva, Aparicio, Marcos Villaverde, Viotto, Valentina, Vorobyov, Eduard, Vorontsov, Sergey, Wagner, Frank W., Walloschek, Thomas, Walton, Nicholas, Walton, Dave, Wang, Haiyang, Waters, Rens, Watson, Christopher, Wedemeyer, Sven, Weeks, Angharad, Weingrill, Jörg, Weiss, Annita, Wendler, Belinda, West, Richard, Westerdorff, Karsten, Westphal, Pierre-Amaury, Wheatley, Peter, White, Tim, Whittaker, Amadou, Wickhusen, Kai, Wilson, Thomas, Windsor, James, Winter, Othon, Winther, Mark Lykke, Winton, Alistair, Witteck, Ulrike, Witzke, Veronika, Woitke, Peter, Wolter, David, Wuchterl, Günther, Wyatt, Mark, Yang, Dan, Yu, Jie, Sanchez, Ricardo Zanmar, Osorio, María Rosa Zapatero, Zechmeister, Mathias, Zhou, Yixiao, Ziemke, Claas, and Zwintz, Konstanze

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

PLATO (PLAnetary Transits and Oscillations of stars) is ESA's M3 mission designed to detect and characterise extrasolar planets and perform asteroseismic monitoring of a large number of stars. PLATO will detect small planets (down to <2 R_(Earth)) around bright stars (<11 mag), including terrestrial planets in the habitable zone of solar-like stars. With the complement of radial velocity observations from the ground, planets will be characterised for their radius, mass, and age with high accuracy (5 %, 10 %, 10 % for an Earth-Sun combination respectively). PLATO will provide us with a large-scale catalogue of well-characterised small planets up to intermediate orbital periods, relevant for a meaningful comparison to planet formation theories and to better understand planet evolution. It will make possible comparative exoplanetology to place our Solar System planets in a broader context. In parallel, PLATO will study (host) stars using asteroseismology, allowing us to determine the stellar properties with high accuracy, substantially enhancing our knowledge of stellar structure and evolution. The payload instrument consists of 26 cameras with 12cm aperture each. For at least four years, the mission will perform high-precision photometric measurements. Here we review the science objectives, present PLATO's target samples and fields, provide an overview of expected core science performance as well as a description of the instrument and the mission profile at the beginning of the serial production of the flight cameras. PLATO is scheduled for a launch date end 2026. This overview therefore provides a summary of the mission to the community in preparation of the upcoming operational phases.

Published
2024

5. Clustering in 13C.

Author

Palada, Luka, Soić, Neven, Acosta, Louis, Bailey, Sam, Dell'Aquila, Daniele, Duenas, Jose Antonio, Fernandez-Garcia, Juan Pablo, Figuera, Pierpaolo, Fioretto, Enrico, Fisichella, Maria, Grassi, Laura, Kirsebom, Oliver, Kokalova Wheldon, Tzany, Lattuada, Marcello, Marquinez-Duran, Gloria, Martel, Ismael, Mijatović, Tea, Prepolec, Lovro, Skukan, Natko, and Smith, Robin

Subjects
CLUSTERING of particles, TANDEM accelerators, CARBON isotopes, DATA analysis, GROUND state (Quantum mechanics)
Abstract

Measurement was conducted at the INFN-LNL, employing a Tandem accelerator to achieve a 95 MeV 14N beam focused on 10B target (201 µg/cm²) with the aim to explore the cluster structures of light carbon isotopes. The main focus of this report will be on the 13C nucleus. Data were collected with a six-telescope detection system that allowed for the observation of many-body exit channels. Here are presented some results of the data analysis for the excited states of 13C from reactions with two and three products in the exit channel. In the 10B(14N,11C)13C reaction, well-defined peaks were identified at 2.0, 3.7, 5.7, 7.4, 9.4, 11.7, 13.9, and 15.9 MeV. The states from ground state to 5.7 MeV are well understood and are used to correct the spectrum, while more states can contribute to the states at higher excitations and further investigation is needed. In the 10B(14N,11C9Be)4He channel, states were identified at 13.1, 13.9, 15.6, and 18.5 MeV. The experimental results show consistency with the previously published data, supporting theoretical models of clustering and molecular-like structures in 13C. Further analysis of other reaction channels and states will be presented in future publications, aiming to enhance our understanding of multi-center clustering in carbon isotopes. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
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6. Clustering in 13C

Author

Palada Luka, Soić Neven, Acosta Louis, Bailey Sam, Dell’Aquila Daniele, Duenas Jose Antonio, Fernandez-Garcia Juan Pablo, Figuera Pierpaolo, Fioretto Enrico, Fisichella Maria, Grassi Laura, Kirsebom Oliver, Kokalova Wheldon Tzany, Lattuada Marcello, Marquinez-Duran Gloria, Martel Ismael, Mijatović Tea, Prepolec Lovro, Skukan Natko, Smith Robin, Szilner Suzana, Tokić Vedrana, Uroić Milivoj, Vukman Nikola, Walshe Joe, and Wheldon Carl

Subjects
Physics, QC1-999
Abstract

Measurement was conducted at the INFN-LNL, employing a Tandem accelerator to achieve a 95 MeV 14N beam focused on 10B target (201 µg/cm²) with the aim to explore the cluster structures of light carbon isotopes. The main focus of this report will be on the 13C nucleus. Data were collected with a six-telescope detection system that allowed for the observation of many-body exit channels. Here are presented some results of the data analysis for the excited states of 13C from reactions with two and three products in the exit channel. In the 10B(14N,11C)13C reaction, well-defined peaks were identified at 2.0, 3.7, 5.7, 7.4, 9.4, 11.7, 13.9, and 15.9 MeV. The states from ground state to 5.7 MeV are well understood and are used to correct the spectrum, while more states can contribute to the states at higher excitations and further investigation is needed. In the 10B(14N,11C9Be)4He channel, states were identified at 13.1, 13.9, 15.6, and 18.5 MeV. The experimental results show consistency with the previously published data, supporting theoretical models of clustering and molecular-like structures in 13C. Further analysis of other reaction channels and states will be presented in future publications, aiming to enhance our understanding of multi-center clustering in carbon isotopes.

Published
2024
Full Text
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9. El viaje que nos unió. Estudios en torno a la primera vuelta al mundo.

Author

Rodríguez-Ponga, Rafael, Barbero, Miguel Ángel, de Mendoza, Alfonso Bullón, Salamanca, Rafael Rodríguez-Ponga, Barrios, Miguel Ángel Barbero, Ruiz, Enrique Martínez, Ezquerra, Alfredo Alvar, Serrano, Tomás Mazón, Palacios, José María Fernández, Matallana, Jordi Saura, García, Vicente Ruiz, Sánchez, Pedro José Grande, Esteban, César, Signes, Mª Teresa, Zafra, Cintia Carreira, Giordano, Maria Laura, Inaraja, María Saavedra, Guijo, Javier Galván, García-Bellido, Rosario, Navarro, Laura Valls, Vicente, Luis Illueca, Pérez, Luz, Bueno-Villaverde, Ángeles, Seoane, Samantha, Kazmierczak, Marcin, Morejón, Jacobo Hernando, Rodao, Florentino, García, Juan Pablo Sanz, Ruiz-Viñals, Carmen, Rodríguez, Carmen Parra, Corti, Franciele, de Carlos-Buján, Andrea, Mini, Alessandro, Hereter, Román, Blanch, Pedro Clarós, Rodríguez-Ponga, Rafael, Barbero, Miguel Ángel, de Mendoza, Alfonso Bullón, Salamanca, Rafael Rodríguez-Ponga, Barrios, Miguel Ángel Barbero, Ruiz, Enrique Martínez, Ezquerra, Alfredo Alvar, Serrano, Tomás Mazón, Palacios, José María Fernández, Matallana, Jordi Saura, García, Vicente Ruiz, Sánchez, Pedro José Grande, Esteban, César, Signes, Mª Teresa, Zafra, Cintia Carreira, Giordano, Maria Laura, Inaraja, María Saavedra, Guijo, Javier Galván, García-Bellido, Rosario, Navarro, Laura Valls, Vicente, Luis Illueca, Pérez, Luz, Bueno-Villaverde, Ángeles, Seoane, Samantha, Kazmierczak, Marcin, Morejón, Jacobo Hernando, Rodao, Florentino, García, Juan Pablo Sanz, Ruiz-Viñals, Carmen, Rodríguez, Carmen Parra, Corti, Franciele, de Carlos-Buján, Andrea, Mini, Alessandro, Hereter, Román, and Blanch, Pedro Clarós

Published
2023

11. Recent THM investigations on neutron induced reactions at astrophysical energies

Author

Sergi Maria Letizia, Lamia Livio, Cherubini Silvio, D’Agata Giuseppe, Di Pietro Alessia, Fernandez-Garcia Juan Pablo, Figuera Pierpaolo, Guardo Giovanni Luca, Gulino Marisa, Hayakawa Seiya, Indelicato Iolanda, La Cognata Marco, La Commara Marco, Lattuada Dario, Lattuada Marcello, Mazzocco Marco, Oliva Alessandro Alberto, Palmerini Sara, Pizzone Rosario Gianluca, Rapisarda Giuseppe Gabriele, Romano Stefano, Spartà Roberta, Spitaleri Claudio, Torresi Domenico, and Tumino Aurora

Subjects
Physics, QC1-999
Abstract

Neutron induced reactions on stable and unstable nuclei play a significant role in the nucleosynthesis of the elements in the cosmos. In the last years, several efforts have been made to investigate the possibility of applying the Trojan Horse Method (THM) to neutron induced reactions mostly by using deuteron as “TH-nucleus”. Here, the main advantages of using THM will be given together with a more focused discussion on the recent 7Be(n,α)4He and the 14N(n,p)14C reactions.

Published
2023
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15. Migraine prevalence and characterization of a representative subset of university students from Medellin, 2014/Prevalencia de migraña y caracterización de una población estudiantil universitaria, Medellin, 2014/Prevalencia de enxaqueca e caracterizacao de uma populacao estudiantil universitaria, medellin, 2014

Author

Fernandez, Maria Carolina Portela, Uribe, Daniel E. Becerra, Garcia, Juan Pablo Zapata, Gaviria, Jose David Martinez, and Padilla, Libia Maria Rodriguez

Published
2018
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16. A Probabilistic BPMN Normal Form to Model and Advise Human Activities

Author

Ceballos, Hector G., Flores-Solorio, Victor, Garcia, Juan Pablo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Baldoni, Matteo, editor, Baresi, Luciano, editor, and Dastani, Mehdi, editor

Published
2015
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20. The PLATO mission design and status

Author

Alvarez, Jose Lorenzo, Marliani, Filippo, Heras, Ana, Walloschek, Thomas, Gaido, Marco, Huesler, Joseph, Whitaker, Amadou, Aroca, José, Winton, Alistair, Teti, Daniele, Harrison, Ian, Boquet, Fabrice, Cesa, Marco, Laget, Philippe, Kanitz, Thomas, Niemi, Sami-Matias, Levillain, Yves, Goulty, Duncan, Madden, Sean, Windsor, James, Rodriguez Garcia, Juan Pablo, Torres, Nadia Hidalgo, Brown, Beverly, O'Rourke, Laurence, Kidger, Mark, Milligan, David, Foley, Steve, Molendini, Francesca, Ermocida, Marco, Sacchetti, Andrea, Steier, Frank, León Perez, Laura, Petit, Jean-Luc, Walther, Christian, Pertenais, Martin, Erikson, A, Cabrera Perez, Juan, Martin Garcia, Cesar, Rauer, H, Pagano, Isabella, and Mas-Hesse, Miguel

Subjects
exoplanets, Thermo elastic distorsion, visible refractive optics, photometer, asteroseismology, Fine Guidance Sensor, PLATO, camera
Published
2022
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22. Trojan Horse Method for n-induced reaction investigations at astrophysical energies

Author

Sergi, Maria Letizia, primary, Lamia, Livio, additional, Rapisarda, Giuseppe Gabriele, additional, Mazzocco, Marco, additional, Cherubini, Silvio, additional, D'Agata, Giuseppe, additional, Di Pietro, Alessia, additional, Fernandez-Garcia, Juan Pablo, additional, Figuera, Pierpaolo, additional, Fisichella, Maria, additional, Guardo, Giovanni L., additional, Gulino, Marisa, additional, Hayakawa, Seiya, additional, La Cognata, Marco, additional, Lattuada, Marcello, additional, Oliva, Alessandro Alberto, additional, Palmerini, Sara, additional, Pizzone, Rosario G., additional, Puglia, Sebastiana Maria Regina, additional, Romano, Stefano, additional, Spartà, Roberta, additional, Spitaleri, Claudio, additional, Torresi, Domenico, additional, and Tumino, Aurora, additional

Published
2022
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25. SISTEMA DE LOCALIZACIÓN POR RADAR PARA UN ROBOT DE CONFIGURACIÓN ACKERMANN (RADAR LOCATION SYSTEM FOR AN ACKERMANN CONFIGURATION ROBOT)

Author

Aguilera Garcia, Juan Pablo, Magdaleno Cabrera, Marco Antonio, Rivas Araiza, Edgar Alejandro, Malagon Soldara, Salvador Manuel, Aguilera Garcia, Juan Pablo, Magdaleno Cabrera, Marco Antonio, Rivas Araiza, Edgar Alejandro, and Malagon Soldara, Salvador Manuel

Abstract

Resumen El proyecto consiste en desarrollar un sistema de localización capaz de llevar a cabo el control de la trayectoria de un robot móvil, este robot está diseñado bajo los parámetros de la configuración de movimiento Ackermann y fue construido con un chasis de acrílico de 3 mm en el que se montaron los componentes que lo conforman, los cuales son: el sistema de dirección, sistema de tracción y el sistema de control. Además, se recurrió a la tecnología de impresión 3D para fabricar una base necesaria para evitar interferencias en el escáner láser. Para la elaboración del sistema de localización se requiere el uso del escáner láser RPLiDAR modelo A1M8, que actúa como el principal componente para obtener una retroalimentación del ambiente. Esto se traduce como el uso de los datos que entrega el escáner, los cuales mediante análisis matemáticos ayudan al establecimiento de un sistema coordenado y el cálculo de la posición. La conexión del sistema de localización y el sistema de control brinda la posibilidad de programar las trayectorias a seguir por el robot, sin embargo, debido a la existencia de errores se implementa un sistema de recálculo de trayectoria que toma como principales herramientas de funcionamiento la cinemática del robot y el filtro de partículas creado para el cálculo de incertidumbre. Este recálculo reduce considerablemente el error en la trayectoria, lo cual queda demostrado en las pruebas realizadas en una trayectoria compuesta por: 3 movimientos rectos de 40 cm de longitud y 2 movimientos curvos con un radio de curvatura de 40 cm. La precisión en cuanto al cumplimiento de la trayectoria del sistema de recálculo es alta, ya que se observan variaciones por debajo de los 10 cm, comparado con un comportamiento ideal. Palabras clave: configuración Ackermann, escáner láser, robot móvil, incertidumbre, sistemas de radar, cinemática, filtro de partículas. Abstract The project consists of developing a location system capable of controlling the trajectory

Published
2021

26. 1200 GHz High Spectral Resolution Receiver Front-End of Submillimeter Wave Instrument for JUpiter ICy Moon Explorer: Part I - RF Performance Optimization for Cryogenic Operation

Author

Treuttel, Jeanne, Gatilova, Lina, Caroopen, Sylvain, Feret, Alexandre, Gay, Gregory, Vacelet, Thibaut, Valentin, Jerome, Jin, Yong, Cavanna, Antonella, Jacob, Karl Firedrich, Mignoni, Sabrina, Lavignolle, Vincent, Krieg, Jean-Michel, Goldstein, Christophe, Courtade, Frederic, Larigauderie, Carole, Ravanbakhsh, Ali, Garcia, Juan-Pablo, Maestrini, Alain Eric, and Hartogh, Paul

Abstract

The submillimeter wave instrument is a spectrometer/radiometer instrument on board of JUpiter ICy Moons Explorer mission operating in two submillimeter heterodyne bands around 530 µm (530–625 GHz) and 255 µm (1080–1275 GHz). This article presents the results of acceptance testing and performance optimization carried out on the flight and spare model of the 1200 GHz receiver front-end. The safe operation conditions at 120–150 K ambient temperature, such as maximum authorized input RF power, applied dc bias voltage are determined through the definition of the Schottky junctions dissipated power and current density ranges. A tuning procedure that optimizes the sensitivity of the front-end while keeping it within safe limits at 120–150 K temperature operation is discussed. In part II, we present a detailed analysis of reliability and endurance testing.

Published
2023
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28. Aportes de la educación religiosa escolar a la formación integral y ciudadana de los estudiantes de once grado del colegio La Concepción de Turbaco

Author

Valero Garcia, Juan Pablo, Pinto Lopez, Carlos Andres, Crismatt Rovira, Luz Yamile, Sotelo Anaya, Yajaira, and Moncada Guzman, Ciro Javier

Subjects
Técnicas de enseñanza, Sociedad, Formation, Formación, Education, Religion, Educación religiosa, Philosophy, Ciudadanía, Integral, Filosofía, Citizenship, Virtud, Educacion, Society, Axiological values, Virtue, Religión, Valores
Abstract

Este trabajo es una apología sobre la enseñanza de la educación religiosa escolar como área fundamental en la que las personas encaminan y educan su espiritualidad, con el objetivo de formar el carácter, forjar el sentido de la vida, sostener convicciones profundas y desarrollar habilidades blandas. En esta investigación se ha logrado comprobar la importancia de la educación religiosa y la necesidad de ser enseñada dentro del sistema educativo público y privado. En ella se profundizan en las categorías de educación religiosa y su relación con la formación integral y la formación ciudadana, como objetivo primordial de toda la enseñanza en la etapa escolar. Es una necesidad antropológica que se eduque la dimensión trascendente del ser humano, el cual nace con aptitudes para desarrollarla y desarrollarse como persona íntegra, pro-activa, dinámica y competente. Dichas características se forman gracias a un sistema educativo preocupado por la integridad de sus ciudadanos, que garantice y permita que esta formación se promueva desde el ámbito público hasta el privado. Licenciado en Filosofía y Educación Religiosa http://www.ustadistancia.edu.co/?page_id=3956 Pregrado

Published
2019

29. AUDITORÍA DIAGNÓSTICO PARA LA ALINEACIÓN DE UNA ORGANIZACIÓN MEDIANTE LA REVISIÓN DE LOS REQUERIMIENTOS DE LA NORMA ISO 9001:2015 (DIAGNOSTIC AUDIT FOR THE ALIGNMENT OF AN ORGANIZATION BY REVIEWING THE REQUIREMENTS OF ISO 9001: 2015)

Author

Bocanegra Lara, Mariana, Asato España, Martha Laura, Veloz Garcia, Juan Pablo, Bocanegra Lara, Mariana, Asato España, Martha Laura, and Veloz Garcia, Juan Pablo

Abstract

Resumen:Este artículo detalla un caso práctico donde se analizó el sistema de gestión de la calidad (SGC) de una organización dedicada a la inyección de plásticos, donde a través de una auditoria diagnóstico, se permitió conocer cómo se encuentra su sistema. Se detectaron áreas de oportunidad, donde a su vez se proponen diversas mejoras, entre ellas la alineación de su política de calidad basada en los requerimientos de la norma ISO 9001:2015. Una de las principales ventajas de la alineación de la organización es que permite la trazabilidad de los resultados para la revisión por la dirección. Para la propuesta de mejora en su política de calidad se definen los objetivos a alcanzar mediante el Hoshin Kanri, el cual permite la integración de la organización, así como la medición cuantificable y el grado de cumplimiento de sus objetivos.Palabras claves: calidad, normas ISO, revisión por la dirección, alineación, auditoria, Hoshin Kanri AbstractThis article details a practical case where the quality management system (QMS) of an organization dedicated to the injection of plastics was analyzed, where through a diagnostic audit; it was allowed to know how your system is. Areas of opportunity were detected, which in turn propose various improvements, including the alignment of its quality policy based on the requirements of ISO 9001: 2015. One of the main advantages of the alignment of the organization is that it allows the traceability of the results for review by management. For the improvement proposal in its quality policy, the objectives to be achieved are defined through the Hoshin Kanri, which allows the integration of the organization, as well as the quantifiable measurement and the degree of compliance with its objectives.Keywords: quality, ISO standards, revision by management, alignment. Audit, Hoshin Kanri

Published
2019

30. Contaje de mitosis en imágenes histológicas mediante redes neuronales convolucionales

Author

Salado Garcia, Juan Pablo, Picon, Artzai, Bereciartua, Arantza, and Irusta Zarandona, Unai

Subjects
Method, Mitotic figures, Automatic mitosis counting, Cancer
Abstract

El diagnóstico último del cáncer se realiza por los patólogos mediante el análisis de imágenes histológicas. Uno de los marcadores más importantes en el pronóstico y detección temprana del mismo es el denominado grado de proliferación, que se estima mediante el contaje de figuras mitóticas en imágenes histológicas tintadas con hematoxilina y eosina. Los patólogos realizan este contaje de mitosis de manera manual. Este proceso es costoso y subjetivo, existiendo discrepancias entre los expertos. En los últimos años, el aumento de microscopios escáneres ha permitido la digitalización de las muestras histológicas y su posterior procesamiento. En este trabajo se presenta un método para el contaje automático de mitosis en imágenes histológicas. Este método comprende dos fases: 1) selección de regiones candidatas a mitosis basada en técnicas convencionales de procesamiento de imagen; 2) clasificación mediante Redes Neuronales Convolucionales y técnicas de Deep Learning. El método ha sido validado sobre una base de datos con 656 casos, y se ha obtenido una sensibilidad de 0.617 y un valor de F1 de 0.541 en consonancia con el estado del arte.

Published
2018

31. Applying deep learning/GANs to histology image for data augmentation: a general study

Author

Martinez Garcia, Juan Pablo and Vegas Lozano, Esteban

Subjects
histology, aprendizaje profundo, Artificial intelligence -- TFM, dades d'augment, datos de aumento, aprenentatge profund, histologia, Intel·ligència artificial -- TFM, deep learning, histología, Inteligencia artificial -- TFM, data augmentation, GAN
Abstract

In medical imaging tasks, annotations are made by radiologists with expert knowledge on the data and task. Therefore, Histology images are especially difficult to collect as they are: expensive, time consuming and information can not be always disclosed for research. To tackle all these issues data augmentation is a popular solution. Data augmentation, consist of generating new training samples from existing ones, boosting the size of the dataset. When applying any type of artificial neural network, the size of the training is key factor to be successful. especially when employing supervised machine learning algorithms that require labelled data and large training examples. We present a method for generating synthetic medical images using recently presented deep learning Generative Adversarial Networks (GANs). Furthermore, we show that generated histology images can be used for synthetic data augmentation and improve the performance of CNN for medical image classification. The GAN is a non-supervised machine learning technique where one network generates candidates (generative) and the other evaluates them (discriminative) to generate new sample like the original. In our case we will focus in a type of GAN called Deep Convolution Generative Convolutional Network (DCGAN) where the CNN architecture is used in both networks and the discriminator is reverting the process created by the generator. Finally, we will apply this technique, for data augmentation, with two different datasets: Narrow bone and Breast tissue histology image. To check the result, we will classify the synthetic images with a pre-trained CNN with real images and labelled by specialist. En las tareas de imagenología médica, los radiólogos realizan anotaciones con conocimiento experto sobre los datos y la tarea. Por lo tanto, las imágenes de histología son especialmente difíciles de recopilar, ya que son caras, requieren mucho tiempo y la información no siempre se puede divulgar para la investigación. Para abordar todos estos problemas, el aumento de datos es una solución popular. El aumento de datos consiste en generar nuevas muestras de entrenamiento a partir de las existentes, aumentando el tamaño del conjunto de datos. Cuando se aplica cualquier tipo de red neuronal artificial, el tamaño de la capacitación es un factor clave para tener éxito. especialmente cuando se emplean algoritmos supervisados ¿¿de aprendizaje automático que requieren datos etiquetados y grandes ejemplos de capacitación. Presentamos un método para generar imágenes médicas sintéticas utilizando redes de adversarios generativos de aprendizaje profundo recientemente presentadas. Además, mostramos que las imágenes histológicas generadas pueden usarse para el aumento de datos sintéticos y mejorar el rendimiento de CNN para la clasificación de imágenes médicas. La GAN es una técnica de aprendizaje automático no supervisada en la que una red genera candidatos (generativos) y la otra los evalúa (discriminativos) para generar una nueva muestra como la original. En nuestro caso, nos enfocaremos en un tipo de GAN llamada Red Convolucional Generativa de Convolución Profunda (DCGAN) donde la arquitectura CNN se usa en ambas redes y el discriminador está revirtiendo el proceso creado por el generador. Por último, aplicaremos esta técnica, para el aumento de datos, con dos conjuntos de datos diferentes: imagen de histología de tejido mamario y hueso estrecho. Para verificar el resultado, clasificaremos las imágenes sintéticas con un CNN pre-entrenado con imágenes reales y etiquetado por un especialista. En les tasques de imagenología mèdica, els radiòlegs realitzen anotacions amb coneixement expert sobre les dades i la tasca. Per tant, les imatges d'histologia són especialment difícils de recopilar, ja que són cares, requereixen molt temps i la informació no sempre es pot divulgar per a la recerca. Per a abordar tots aquests problemes, l'augment de dades és una solució popular. L'augment de dades consisteix a generar noves mostres d'entrenament a partir de les existents, augmentant la grandària del conjunt de dades. Quan s'aplica qualsevol tipus de xarxa neuronal artificial, la grandària de la capacitació és un factor clau per a tenir èxit. especialment quan s'empren algorismes supervisats ¿¿d'aprenentatge automàtic que requereixen dades etiquetades i grans exemples de capacitació. Presentem un mètode per a generar imatges mèdiques sintètiques utilitzant xarxes d'adversaris generatius d'aprenentatge profund recentment presentades. A més, vam mostrar que les imatges histològiques generades poden usar-se per a l'augment de dades sintètiques i millorar el rendiment de CNN per a la classificació d'imatges mèdiques. La GAN és una tècnica d'aprenentatge automàtic no supervisada en la qual una xarxa genera candidats (generatius) i l'altra els avalua (discriminativos) per a generar una nova mostra com l'original. En el nostre cas, ens enfocarem en un tipus de GAN dita Xarxa Convolucional Generativa de Convolución Profunda (DCGAN) on l'arquitectura CNN s'usa en totes dues xarxes i el discriminador està revertint el procés creat pel generador. Finalment, aplicarem aquesta tècnica, per a l'augment de dades, amb dos conjunts de dades diferents: imatge d'histologia de teixit mamari i os estret. Per a verificar el resultat, classificarem les imatges sintètiques amb un CNN pre-entrenat amb imatges reals i etiquetatge per un especialista.

Published
2018

38. Projet ROLL2RAIL: New dependable rolling stock for a more sustainable, intelligent and comfortable rail transport in Europe. Deliverable D2.2 - Characterisation of the Railway Environment for Radio Transmission

Author

Raulefs, Ronald, Sand, Stephan, ECHEVERRIA, Eneko, BAZ, Imanol, ANSOATEGUI, Ion, Jost, Thomas, LEHNER, Andreas, Pfletschinger, Stephan, UNTERHUBER, Paul, Berbineau, Marion, Yang, Kun, VAL, Inaki, ARRIOLA, Aitor, REB, Pierre Emmanuel, Moreno, Juan, GARCIA, Juan Pablo, Romano, Francesco, D'ATRI, Maurizio, TAVANO, Fabrizio, German Aerospace Center (DLR), Construcciones y Auxiliar de Ferrocarrile, CAF, Département Composants et Systèmes (IFSTTAR/COSYS), PRES Université Lille Nord de France-PRES Université Nantes Angers Le Mans (UNAM)-Université de Lyon-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), Laboratoire Électronique Ondes et Signaux pour les Transports (IFSTTAR/COSYS/LEOST), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Lille Nord de France, IK4 - IKERLAN [Mondragón], Alstom Transport (Alstom Transport), Metro de Madrid, MdM - Metro de Madrid, Trenitalia, EC/H2020/636032/EU/New Dependable Rolling Stock For A More Sustainable, Intelligent And Comfortable Rail Transport In Europe/ROLL2RAIL, and IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux

Subjects
RAILWAYS, TRANSPORT FERROVIAIRE, TELECOMMUNICATION, TRANSMISSION DES DONNEES, RADIO CHANNEL CHARACTERIZATION, COMMUNICATION, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, SYSTEME DE TRANSPORT INTELLIGENT
Abstract

This report present the results obained in the ROLL2RAIL project regarding radio channel characterization for T2T communications in railway environments.

Published
2016

39. Study Of 9 Li-alpha Cluster States In 13B Using The Resonant Scattering Method

Author

Fernandez-Garcia, Juan Pablo, primary, Di Pietro, A., additional, Fisichella, M., additional, Alcorta, M., additional, Borge, M. J. G., additional, Davinson, T., additional, Figuera, P., additional, Laird, A., additional, Lattuada, M., additional, Shotter, A. C., additional, Soic, N., additional, Tengblad, O., additional, Torresi, D., additional, and Zadro, M., additional

Published
2017
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40. Scattering Of The Halo Nucleus 11Be On A 197Au Target At Energies Around The Coulomb Barrier

Author

G. Borge, Maria J, primary, Pesudo, Vicente, additional, Nácher, Enrique, additional, Tengblad., Olof, additional, Cubero., Mario, additional, Perea, Angel, additional, Moro, A. M., additional, Lay, Josè A., additional, Gómez-Camacho., Joaquin., additional, Alvarez, M. A. G., additional, Fernandez-Garcia, Juan Pablo, additional, Di Prieto, A., additional, Figuera, Pierpaolo, additional, Fisichella., M., additional, Lattuada., M., additional, Scuderi, V., additional, Marquínez-Durán, Gloria, additional, Martel., Ismael, additional, Sánchez-Benítez, Angel M., additional, Alcorta., Martin, additional, Bender, P. C., additional, Braid., R., additional, Garnsworthy, A. B., additional, Hackman., Gregory, additional, Miller., D., additional, Moukaddam., M., additional, Rajabali., M.M., additional, Unsworth., C., additional, Wang, Z.M., additional, Fulton, Brian R., additional, Hager, U., additional, Kirsebom, Oliver, additional, Kuhn., K., additional, O'Malley., P.D., additional, Sarazin, Frederique, additional, and Svensson, C.E., additional

Published
2017
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41. Determination of Environmental Flows for the Barbuda Stream in the Municipality of Olaya, Antioquia, Colombia.

Author

Garcia, Juan Pablo, Vanwalleghem-Vanwalleghem, Tom, Cervera, Juan Vicente Giraldez, Morato-Farreras, Jordi, and Montoya-Restrepo, Jorge Ignacio

Subjects
*ENVIRONMENTAL impact analysis, *RESERVOIRS, *WATER supply, *EVAPOTRANSPIRATION, *WATER harvesting
Abstract

Environmental flow determination is important for the management of rivers and reservoirs. This parameter allows us to calculate the water supply of basins and minimize environmental impacts associated with water harvesting. In the past, research has been performed to determine environmental flows in rivers of Antioquia. However, the results did not include annual weather variation. M ean environmental flows, evapotranspiration and infiltration in the area have been calculated with the rainfall data registered in the Olaya station during 20 years and the basin morphometric parameters. The collected data were used to build a mathematical model in MATLAB and determine the environmental flows with the Range of Variability Approach (RVA) method for each month of the year and ENSO periods. The model can be used to determine environmental flows in similar basins using new rainfall data and morphometric parameters. [ABSTRACT FROM AUTHOR]

Published
2019
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42. The influence of texture on the reversible elastocaloric effect of a polycrystalline Ni50Mn32In16Cr2 alloy.

Author

Henández-Navarro, Fernando, Camarillo-Garcia, Juan-Pablo, Aguilar-Ortiz, Christian-Omar, Flores-Zúñiga, Horacio, Ríos, David, González, José-Gonzalo, and Álvarez-Alonso, Pablo

Subjects
*POLYCRYSTALS, *POLYCRYSTALLINE semiconductors, *NICKEL alloys, *ENTROPY, *FERROMAGNETISM, *FERROMAGNETIC resonance
Abstract

We have studied the correlation between the elastocaloric effect and the crystallographic direction where a uniaxial stress is applied in a textured polycrystalline Ni-Mn-In-Cr ferromagnetic shape memory alloy; this alloy displays martensitic transformation around room temperature and presents an L21 cubic structure in the austenite phase. The texture in the material was induced by simple arc melting synthesis; using inverse pole figures, a favored grain growth was shown in the direction [001] perpendicular to the cooled surface. The elastocaloric effect was determined by direct measurements of the adiabatic temperature change (ΔTadme), while compressive stress was applied and released; hereby, it has been shown that it is possible to exploit the columnar growth texture in order to obtain a large and reversible elastocaloric effect. The reversible elastocaloric response was measured between 280 and 310 K by applying moderate stresses of 50, 75, and 100 MPa in the [001], [111], and [011] directions. A strong interrelation was found in the cyclic ΔTadme values of −3.9, −2.0, and −1.3 K after unloading a compressive stress of 100 MPa applied mainly in the [001], [111], and [011] directions, respectively. [ABSTRACT FROM AUTHOR]

Published
2018
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45. Estimation of genetic parameters for morphological and functional traits in a Menorca horse population

Author

Universidad de Sevilla. Departamento de Ciencias Agroforestales, Solé Berga, Marina, Gutierrez Garcia, Juan Pablo, Cervantes Navarro, Isabel, Valera Córdoba, María Mercedes, Gómez Ortiz, María Dolores, Universidad de Sevilla. Departamento de Ciencias Agroforestales, Solé Berga, Marina, Gutierrez Garcia, Juan Pablo, Cervantes Navarro, Isabel, Valera Córdoba, María Mercedes, and Gómez Ortiz, María Dolores

Published
2014

46. Estimación de parámetros genéticos para caracteres productivos en alpacas (Vicugna pacos), Perú 2011

Author

Gutierrez Garcia, Juan Pablo, Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat, Cruz Camacho, Leyfeng Alan, Gutierrez Garcia, Juan Pablo, Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat, and Cruz Camacho, Leyfeng Alan

Abstract

La estimación de parámetros genéticos muestran que se tiene una heredabilidad alta para el FD y baja para la SD y CV; asimismo una correlación postiva para el FD-SD, y negativa para el FD-CV y SD-CV, la influencia del sexo y la subespecie no son relevantes, respecto al color de capa y efecto año solo el gris y el año 2005 muestran diferencia.

Published
2012

49. Bacterial biogeography across boreal lakes of Quebec : large-scale drivers of bacterial dominance and rarity

Author

Niño Garcia, Juan Pablo and Niño Garcia, Juan Pablo

Abstract

L'objectif général de cette thèse est d'améliorer la compréhension des facteurs et mécanismes qui régulent la structure des communautés de bactérioplancton à grande échelle dans les lacs boréaux, en abordant explicitement l'interaction entre les processus biogéographiques (l'effet de masse et la sélection environnementale des espèces) et la structure des communautés locales. De plus, cette thèse vise à différencier les taxa accidentels des taxa réactifs pour explorer les facteurs qui sous-tendent de cette répartition. Pour cela, nous avons analysé les patrons spatiaux de ces communautés caractérisées par séquençage Illumina du gène ARNr 16S, à travers 386 écosystèmes d'eau douce boréales du Québec qui couvrent une large gamme de conditions environnementales, hydrologiques, et géographiques (Chapitre 1). Nous avons réparti les UTO dans quatre catégories de répartition spatiale de l'abondance (SpAD) en comparant la distribution de leurs abondances à différentes distributions statistiques (normale, bimodale, logistique, log normale). Nous avons ensuite évalué les traits écologiques associés à ces catégories, incluant leurs comportements au sein du réseau fluvial pour différencier entre les catégories associées à la sélection active dans les lacs et celles liées au transport passif (Chapitre 2). Enfin, nous avons analysé la dynamique temporelle des UTO précédemment regroupés dans les catégories de SpAD, et nous avons évalué la cohérence entre leurs propriétés écologiques à travers le temps et l'espace dans le but de tester si les propriétés dérivées de l'analyse spatiale sont maintenues à travers le temps. Les résultats montrent que les variables associées au temps de résidence de l'eau dans le paysage interagissent avec la chimie de l'eau pour réguler les communautés bactériennes le long du continuum aquatique, et donc, l'influence combinée de l'hydrologie, la position dans le réseau fluvial et les conditions environnementales locales structurent les communautés aquati

50. Vespertinas sagradas que explican los mandamientos de la ley de Dios ... y Sermones de los mas vsuales de la Semana Santa ...

Author

García Fernández, Francisco, fl. 1659-1700, imp, Garcia, Juan Pablo O.F.M, García Fernández, Francisco, fl. 1659-1700, imp, and Garcia, Juan Pablo O.F.M

Abstract

Copia digital : Google Books, Sign.: a\p8\s, b\p2\s, c\p8\s, A-M\p8\s, N\p4\s, O-X\p8\s, "Sermones de los más usuales de la Semana Santa" : p. 201 con portada propia, Portada con orla tipográfica, Anteportada, Errores de paginación, repetidas de p. 203-4, y de p. 265-6, Texto a dos columnas, "Sermones de los más usuales de la Semana Santa" : p. 201 con port. propia, Port. con orla tip, Antep, Errores de pag., repetidas de p. 203-4, y de p. 265-6, Texto a dos col

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