Zobrazeno 1 - 10
of 5 003
pro vyhledávání: '"Mendez, M"'
Autor:
Rosenbaum, HC, Kershaw, F, Mendez, M, Pomilla, C, Leslie, MS, Findlay, KP, Best, PB, Collins, T, Vely, M, Engel, MH, Baldwin, R, Minton, G, Meÿer, M, Flórez-González, L, Poole, MM, Hauser, N, Garrigue, C, Brasseur, M, Bannister, J, Anderson, M, Olavarría, C, Baker, CS
Publikováno v:
Endangered Species Research, Vol 32, Pp 551-567 (2017)
The description of genetic population structure over a speciesí geographic range can provide insights into its evolutionary history and also support effective management efforts. Assessments for globally distributed species are rare, however, requir
Externí odkaz:
https://doaj.org/article/f76f9455a7dc428b92629cb6d58b97af
Autor:
Baglio, M. C., Zelati, F. Coti, Campana, S., Busquet, G., D'Avanzo, P., Giarratana, S., Giroletti, M., Ambrosino, F., Crespi, S., Zanon, A. Miraval, Hou, X., Li, D., Li, J., Wang, P., Russell, D. M., Torres, D. F., Alabarta, K., Casella, P., Covino, S., Bramich, D. M., de Martino, D., Méndez, M., Motta, S. E., Papitto, A., Saikia, P., Vincentelli, F.
Publikováno v:
A&A 677, A30 (2023)
Transitional millisecond pulsars are an emerging class of sources that link low-mass X-ray binaries to millisecond radio pulsars in binary systems. These pulsars alternate between a radio pulsar state and an active low-luminosity X-ray disc state. Du
Externí odkaz:
http://arxiv.org/abs/2305.14509
Autor:
Yang, Zi-Xu, Zhang, Liang, Zhang, S. N., Méndez, M., García, Federico, Huang, Yue, Bu, Qingcui, Liu, He-Xin, Yu, Wei, Wang, P. J., Tao, L., Altamirano, D., Qu, Jin-Lu, Zhang, S., Ma, X., Song, L. M., Jia, S. M., Ge, M. Y., Liu, Q. Z., Yan, J. Z., Li, T. M., Ren, X. Q., Ma, R. C., Zhang, Yuexin, Xu, Y. C., Ma, B. Y., Du, Y. F., Fu, Y. C., Xiao, Y. X., Li, P. P, Jin, P., Zhao, S. J., Zhao, Q. C.
Fast transitions between different types of power density spectra (PDS) happening over timescales of several tens of seconds are rare phenomena in black hole X-ray binaries. In this paper, we report a broadband spectral-timing analysis of the fast tr
Externí odkaz:
http://arxiv.org/abs/2303.07588
Autor:
Feroci, M., Bozzo, E., Brandt, S., Hernanz, M., van der Klis, M., Liu, L.-P., Orleanski, P., Pohl, M., Santangelo, A., Schanne, S., Stella, L., Takahashi, T., Tamura, H., Watts, A., Wilms, J., Zane, S., Zhang, S.-N., Bhattacharyya, S., Agudo, I., Ahangarianabhari, M., Albertus, C., Alford, M., Alpar, A., Altamirano, D., Alvarez, L., Amati, L., Amoros, C., Andersson, N., Antonelli, A., Argan, A., Artigue, R., Artigues, B., Atteia, J.-L., Azzarello, P., Bakala, P., Ballantyne, D., Baldazzi, G., Baldo, M., Balman, S., Barbera, M., van Baren, C., Barret, D., Baykal, A., Begelman, M., Behar, E., Behar, O., Belloni, T., Bernardini, F., Bertuccio, G., Bianchi, S., Bianchini, A., Binko, P., Blay, P., Bocchino, F., Bode, M., Bodin, P., Bombaci, I., Bonnet Bidaud, J.-M., Boutloukos, S., Bouyjou, F., Bradley, L., Braga, J., Briggs, M. S., Brown, E., Buballa, M., Bucciantini, N., Burderi, L., Burgay, M., Bursa, M., Budtz-Jørgensen, C., Cackett, E., Cadoux, F., Cais, P., Caliandro, G. A., Campana, R., Campana, S., Cao, X., Capitanio, F., Casares, J., Casella, P., Castro-Tirado, A. J., Cavazzuti, E., Cavechi, Y., Celestin, S., Cerda-Duran, P., Chakrabarty, D., Chamel, N., Château, F., Chen, C., Chen, Y., Chenevez, J., Chernyakova, M., Coker, J., Cole, R., Collura, A., Coriat, M., Cornelisse, R., Costamante, L., Cros, A., Cui, W., Cumming, A., Cusumano, G., Czerny, B., D'Aì, A., D'Ammando, F., D'Elia, V., Dai, Z., Del Monte, E., De Luca, A., De Martino, D., Dercksen, J. P. C., De Pasquale, M., De Rosa, A., Del Santo, M., Di Cosimo, S., Degenaar, N., den Herder, J. W., Diebold, S., Di Salvo, T., Dong, Y., Donnarumma, I., Doroshenko, V., Doyle, G., Drake, S. A., Durant, M., Emmanoulopoulos, D., Enoto, T., Erkut, M. H., Esposito, P., Evangelista, Y., Fabian, A., Falanga, M., Favre, Y., Feldman, C., Fender, R., Feng, H., Ferrari, V., Ferrigno, C., Finger, M., Finger, M. H., Fraser, G. W., Frericks, M., Fullekrug, M., Fuschino, F., Gabler, M., Galloway, D. K., Gálvez Sanchez, J. L., Gandhi, P., Gao, Z., Garcia-Berro, E., Gendre, B., Gevin, O., Gezari, S., Giles, A. B., Gilfanov, M., Giommi, P., Giovannini, G., Giroletti, M., Gogus, E., Goldwurm, A., Goluchová, K., Götz, D., Gou, L., Gouiffes, C., Grandi, P., Grassi, M., Greiner, J., Grinberg, V., Groot, P., Gschwender, M., Gualtieri, L., Guedel, M., Guidorzi, C., Guy, L., Haas, D., Haensel, P., Hailey, M., Hamuguchi, K., Hansen, F., Hartmann, D. H., Haswell, C. A., Hebeler, K., Heger, A., Hempel, M., Hermsen, W., Homan, J., Hornstrup, A., Hudec, R., Huovelin, J., Huppenkothen, D., Inam, S. C., Ingram, A., In't Zand, J. J. M., Israel, G., Iwasawa, K., Izzo, L., Jacobs, H. M., Jetter, F., Johannsen, T., Jenke, P. A., Jonker, P., Josè, J., Kaaret, P., Kalamkar, K., Kalemci, E., Kanbach, G., Karas, V., Karelin, D., Kataria, D., Keek, L., Kennedy, T., Klochkov, D., Kluzniak, W., Koerding, E., Kokkotas, K., Komossa, S., Korpela, S., Kouveliotou, C., Kowalski, A. F., Kreykenbohm, I., Kuiper, L. M., Kunneriath, D., Kurkela, A., Kuvvetli, I., La Franca, F., Labanti, C., Lai, D., Lamb, F. K., Lachaud, C., Laubert, P. P., Lebrun, F., Li, X., Liang, E., Limousin, O., Lin, D., Linares, M., Linder, D., Lodato, G., Longo, F., Lu, F., Lund, N., Maccarone, T. J., Macera, D., Maestre, S., Mahmoodifar, S., Maier, D., Malcovati, P., Malzac, J., Malone, C., Mandel, I., Mangano, V., Manousakis, A., Marelli, M., Margueron, J., Marisaldi, M., Markoff, S. B., Markowitz, A., Marinucci, A., Martindale, A., Martínez, G., McHardy, I. M., Medina-Tanco, G., Mehdipour, M., Melatos, A., Mendez, M., Mereghetti, S., Migliari, S., Mignani, R., Michalska, M., Mihara, T., Miller, M. C., Miller, J. M., Mineo, T., Miniutti, G., Morsink, S., Motch, C., Motta, S., Mouchet, M., Mouret, G., Mulačová, J., Muleri, F., Muñoz-Darias, T., Negueruela, I., Neilsen, J., Neubert, T., Norton, A. J., Nowak, M., Nucita, A., O'Brien, P., Oertel, M., Olsen, P. E. H., Orienti, M., Orio, M., Orlandini, M., Osborne, J. P., Osten, R., Ozel, F., Pacciani, L., Paerels, F., Paltani, S., Paolillo, M., Papadakis, I., Papitto, A., Paragi, Z., Paredes, J. M., Patruno, A., Paul, B., Pederiva, F., Perinati, E., Pellizzoni, A., Penacchioni, A. V., Peretz, U., Perez, M. A., Perez-Torres, M., Peterson, B. M., Petracek, V., Pittori, C., Pons, J., Portell, J., Possenti, A., Postnov, K., Poutanen, J., Prakash, M., Prandoni, I., Le Provost, H., Psaltis, D., Pye, J., Qu, J., Rambaud, D., Ramon, P., Ramsay, G., Rapisarda, M., Rashevski, A., Rashevskaya, I., Ray, P. S., Rea, N., Reddy, S., Reig, P., Reina Aranda, M., Remillard, R., Reynolds, C., Rezzolla, L., Ribo, M., de la Rie, R., Riggio, A., Rios, A., Rischke, D. H., Rodríguez-Gil, P., Rodriguez, J., Rohlfs, R., Romano, P., Rossi, E. M. R., Rozanska, A., Rousseau, A., Rudak, B., Russell, D. M., Ryde, F., Sabau-Graziati, L., Sakamoto, T., Sala, G., Salvaterra, R., Salvetti, D., Sanna, A., Sandberg, J., Savolainen, T., Scaringi, S., Schaffner-Bielich, J., Schatz, H., Schee, J., Schmid, C., Serino, M., Shakura, N., Shore, S., Schnittman, J. D., Schneider, R., Schwenk, A., Schwope, A. D., Sedrakian, A., Seyler, J.-Y., Shearer, A., Slowikowska, A., Sims, M., Smith, A., Smith, D. M., Smith, P. J., Sobolewska, M., Sochora, V., Soffitta, P., Soleri, P., Song, L., Spencer, A., Stamerra, A., Stappers, B., Staubert, R., Steiner, A. W., Stergioulas, N., Stevens, A. L., Stratta, G., Strohmayer, T. E., Stuchlik, Z., Suchy, S., Suleimanov, V., Tamburini, F., Tauris, T., Tavecchio, F., Tenzer, C., Thielemann, F. K., Tiengo, A., Tolos, L., Tombesi, F., Tomsick, J., Torok, G., Torrejon, J. M., Torres, D. F., Torresi, E., Tramacere, A., Traulsen, I., Trois, A., Turolla, R., Turriziani, S., Typel, S., Uter, P., Uttley, P., Vacchi, A., Varniere, P., Vaughan, S., Vercellone, S., Vietri, M., Vincent, F. H., Vrba, V., Walton, D., Wang, J., Wang, Z., Watanabe, S., Wawrzaszek, R., Webb, N., Weinberg, N., Wende, H., Wheatley, P., Wijers, R., Wijnands, R., Wille, M., Wilson-Hodge, C. A., Winter, B., Walk, S. J., Wood, K., Woosley, S. E., Wu, X., Xu, R., Yu, W., Yuan, F., Yuan, W., Yuan, Y., Zampa, G., Zampa, N., Zampieri, L., Zdunik, L., Zdziarski, A., Zech, A., Zhang, B., Zhang, C., Zhang, S., Zingale, M., Zwart, F.
The Large Observatory For x-ray Timing (LOFT) is a mission concept which was proposed to ESA as M3 and M4 candidate in the framework of the Cosmic Vision 2015-2025 program. Thanks to the unprecedented combination of effective area and spectral resolu
Externí odkaz:
http://hdl.handle.net/10150/622719
http://arizona.openrepository.com/arizona/handle/10150/622719
http://arizona.openrepository.com/arizona/handle/10150/622719
This article presents two model-free controllers for wind-turbine torque and pitch control. These controllers are based on reinforcement learning (RL) and Bayesian optimization (BO) and do not rely on any mathematical model of the wind-turbine dynami
Externí odkaz:
http://arxiv.org/abs/2207.06206
Autor:
Segura, N. Castro, Knigge, C., Long, K. S., Altamirano, D., Padilla, M. Armas, Bailyn, C., Buckley, D. A. H., Buisson, D. J. K., Casares, J., Charles, P., Combi, J. A., Cúneo, V. A., Degenaar, N. D., del Palacio, S., Trigo, M. Díaz, Fender, R., Gandhi, P., Georganti, M., Gutiérrez, C., Santisteban, J. V. Hernandez, Jiménez-Ibarra, F., Matthews, J., Méndez, M., Middleton, M., Muñoz-Darias, T., Arabacı, M. Özbey, Pahari, M., Rhodes, L., Russell, T. D., Scaringi, S., Eijnden, J. van den, Vasilopoulos, G., Vincentelli, F. M., Wiseman, P.
All disc-accreting astrophysical objects produce powerful outflows. In binaries containing neutron stars (NS) or black holes, accretion often takes place during violent outbursts. The main disc wind signatures during these eruptions are blue-shifted
Externí odkaz:
http://arxiv.org/abs/2203.01372
Big data and machine learning are driving comprehensive economic and social transformations and are rapidly re-shaping the toolbox and the methodologies of applied scientists. Machine learning tools are designed to learn functions from data with litt
Externí odkaz:
http://arxiv.org/abs/2202.12577
Publikováno v:
Physics of Fluids (Vol.34, Issue 3), 2022
We analyse and compare various empirical models of wall pressure spectra beneath turbulent boundary layers and propose an alternative machine learning approach using Artificial Neural Networks (ANN). The analysis and the training of the ANN are perfo
Externí odkaz:
http://arxiv.org/abs/2201.03262
Publikováno v:
In Clinica e Investigacion en Ginecologia y Obstetricia July-September 2024 51(3)
Autor:
Alabarta, K., Altamirano, D., Méndez, M., Cúneo, V. A., Vincentelli, F. M., Castro-Segura, N., García, F., Luff, B., Veledina, A.
Black hole low-mass X-ray binaries (BH LMXBs) evolve in a similar way during outburst. Based on the X-ray spectrum and variability, this evolution can be divided into three canonical states: low/hard, intermediate and high/soft state. BH LMXBs evolve
Externí odkaz:
http://arxiv.org/abs/2107.10035