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Your search keyword '"M. Denys"' showing total 15 results
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15 results on '"M. Denys"'

1. Search for Multimessenger Sources of Gravitational Waves and High-energy Neutrinos with Advanced LIGO during Its First Observing Run, ANTARES, and IceCube

Author

A. Albert, M. André, M. Anghinolfi, M. Ardid, J.-J. Aubert, J. Aublin, T. Avgitas, B. Baret, J. Barrios-Martí, S. Basa, B. Belhorma, V. Bertin, S. Biagi, R. Bormuth, J. Boumaaza, S. Bourret, M. C. Bouwhuis, H. Brânzaş, R. Bruijn, J. Brunner, J. Busto, A. Capone, L. Caramete, J. Carr, S. Celli, M. Chabab, R. Cherkaoui El Moursli, T. Chiarusi, M. Circella, J. A. B. Coelho, A. Coleiro, M. Colomer, R. Coniglione, H. Costantini, P. Coyle, A. Creusot, A. F. Díaz, A. Deschamps, C. Distefano, I. Di Palma, A. Domi, R. Donà, C. Donzaud, D. Dornic, D. Drouhin, T. Eberl, I. El Bojaddaini, N. El Khayati, D. Elsässer, A. Enzenhöfer, A. Ettahiri, F. Fassi, I. Felis, P. Fermani, G. Ferrara, L. Fusco, P. Gay, H. Glotin, T. Grégoire, R. Gracia Ruiz, K. Graf, S. Hallmann, H. van Haren, A. J. Heijboer, Y. Hello, J. J. Hernández-Rey, J. Hößl, J. Hofestädt, G. Illuminati, M. de Jong, M. Jongen, M. Kadler, O. Kalekin, U. Katz, N. R. Khan-Chowdhury, A. Kouchner, M. Kreter, I. Kreykenbohm, V. Kulikovskiy, C. Lachaud, R. Lahmann, D. Lefèvre, E. Leonora, G. Levi, M. Lotze, S. Loucatos, G. Maggi, M. Marcelin, A. Margiotta, A. Marinelli, J. A. Martínez-Mora, R. Mele, K. Melis, P. Migliozzi, A. Moussa, S. Navas, E. Nezri, A. Nuñez, M. Organokov, G. E. Păvălaş, C. Pellegrino, P. Piattelli, V. Popa, T. Pradier, L. Quinn, C. Racca, N. Randazzo, G. Riccobene, A. Sánchez-Losa, M. Saldaña, I. Salvadori, D. F. E. Samtleben, M. Sanguineti, P. Sapienza, F. Schüssler, M. Spurio, Th. Stolarczyk, M. Taiuti, Y. Tayalati, A. Trovato, B. Vallage, V. Van Elewyck, F. Versari, D. Vivolo, J. Wilms, D. Zaborov, J. D. Zornoza, J. Zúñiga, ANTARES collaboration, M. G. Aartsen, M. Ackermann, J. Adams, J. A. Aguilar, M. Ahlers, M. Ahrens, D. Altmann, K. Andeen, T. Anderson, I. Ansseau, G. Anton, C. Argüelles, J. Auffenberg, S. Axani, P. Backes, H. Bagherpour, X. Bai, A. Barbano, J. P. Barron, S. W. Barwick, V. Baum, R. Bay, J. J. Beatty, J. Becker Tjus, K.-H. Becker, S. BenZvi, D. Berley, E. Bernardini, D. Z. Besson, G. Binder, D. Bindig, E. Blaufuss, S. Blot, C. Bohm, M. Börner, F. Bos, S. Böser, O. Botner, E. Bourbeau, J. Bourbeau, F. Bradascio, J. Braun, M. Brenzke, H.-P. Bretz, S. Bron, J. Brostean-Kaiser, A. Burgman, R. S. Busse, T. Carver, E. Cheung, D. Chirkin, K. Clark, L. Classen, G. H. Collin, J. M. Conrad, P. Coppin, P. Correa, D. F. Cowen, R. Cross, P. Dave, M. Day, J. P. A. M. de André, C. De Clercq, J. J. DeLaunay, H. Dembinski, K. Deoskar, S. De Ridder, P. Desiati, K. D. de Vries, G. de Wasseige, M. de With, T. DeYoung, J. C. Díaz-Vélez, V. di Lorenzo, H. Dujmovic, J. P. Dumm, M. Dunkman, E. Dvorak, B. Eberhardt, T. Ehrhardt, B. Eichmann, P. Eller, P. A. Evenson, S. Fahey, A. R. Fazely, J. Felde, K. Filimonov, C. Finley, A. Franckowiak, E. Friedman, A. Fritz, T. K. Gaisser, J. Gallagher, E. Ganster, S. Garrappa, L. Gerhardt, K. Ghorbani, W. Giang, T. Glauch, T. Glüsenkamp, A. Goldschmidt, J. G. Gonzalez, D. Grant, Z. Griffith, C. Haack, A. Hallgren, L. Halve, F. Halzen, K. Hanson, D. Hebecker, D. Heereman, K. Helbing, R. Hellauer, S. Hickford, J. Hignight, G. C. Hill, K. D. Hoffman, R. Hoffmann, T. Hoinka, B. Hokanson-Fasig, K. Hoshina, F. Huang, M. Huber, K. Hultqvist, M. Hünnefeld, R. Hussain, S. In, N. Iovine, A. Ishihara, E. Jacobi, G. S. Japaridze, M. Jeong, K. Jero, B. J. P. Jones, P. Kalaczynski, W. Kang, A. Kappes, D. Kappesser, T. Karg, A. Karle, M. Kauer, A. Keivani, J. L. Kelley, A. Kheirandish, J. Kim, T. Kintscher, J. Kiryluk, T. Kittler, S. R. Klein, R. Koirala, H. Kolanoski, L. Köpke, C. Kopper, S. Kopper, J. P. Koschinsky, D. J. Koskinen, M. Kowalski, K. Krings, M. Kroll, G. Krückl, S. Kunwar, N. Kurahashi, A. Kyriacou, M. Labare, J. L. Lanfranchi, M. J. Larson, F. Lauber, K. Leonard, M. Leuermann, Q. R. Liu, E. Lohfink, C. J. Lozano Mariscal, L. Lu, J. Lünemann, W. Luszczak, J. Madsen, K. B. M. Mahn, Y. Makino, S. Mancina, I. C. Mariş, R. Maruyama, K. Mase, R. Maunu, K. Meagher, M. Medici, M. Meier, T. Menne, G. Merino, T. Meures, S. Miarecki, J. Micallef, G. Momenté, T. Montaruli, R. W. Moore, M. Moulai, R. Nagai, R. Nahnhauer, P. Nakarmi, U. Naumann, G. Neer, H. Niederhausen, S. C. Nowicki, D. R. Nygren, A. Obertacke Pollmann, A. Olivas, A. O’Murchadha, E. O’Sullivan, T. Palczewski, H. Pandya, D. V. Pankova, P. Peiffer, J. A. Pepper, C. Pérez de los Heros, D. Pieloth, E. Pinat, A. Pizzuto, M. Plum, P. B. Price, G. T. Przybylski, C. Raab, M. Rameez, L. Rauch, K. Rawlins, I. C. Rea, R. Reimann, B. Relethford, G. Renzi, E. Resconi, W. Rhode, M. Richman, S. Robertson, M. Rongen, C. Rott, T. Ruhe, D. Ryckbosch, D. Rysewyk, I. Safa, S. E. Sanchez Herrera, A. Sandrock, J. Sandroos, M. Santander, S. Sarkar, K. Satalecka, M. Schaufel, P. Schlunder, T. Schmidt, A. Schneider, J. Schneider, S. Schöneberg, L. Schumacher, S. Sclafani, D. Seckel, S. Seunarine, J. Soedingrekso, D. Soldin, M. Song, G. M. Spiczak, C. Spiering, J. Stachurska, M. Stamatikos, T. Stanev, A. Stasik, R. Stein, J. Stettner, A. Steuer, T. Stezelberger, R. G. Stokstad, A. Stößl, N. L. Strotjohann, T. Stuttard, G. W. Sullivan, M. Sutherland, I. Taboada, F. Tenholt, S. Ter-Antonyan, A. Terliuk, S. Tilav, P. A. Toale, M. N. Tobin, C. Tönnis, S. Toscano, D. Tosi, M. Tselengidou, C. F. Tung, A. Turcati, R. Turcotte, C. F. Turley, B. Ty, E. Unger, M. A. Unland Elorrieta, M. Usner, J. Vandenbroucke, W. Van Driessche, D. van Eijk, N. van Eijndhoven, S. Vanheule, J. van Santen, M. Vraeghe, C. Walck, A. Wallace, M. Wallraff, F. D. Wandler, N. Wandkowsky, T. B. Watson, A. Waza, C. Weaver, M. J. Weiss, C. Wendt, J. Werthebach, S. Westerhoff, B. J. Whelan, N. Whitehorn, K. Wiebe, C. H. Wiebusch, L. Wille, D. R. Williams, L. Wills, M. Wolf, J. Wood, T. R. Wood, E. Woolsey, K. Woschnagg, G. Wrede, D. L. Xu, X. W. Xu, Y. Xu, J. P. Yanez, G. Yodh, S. Yoshida, T. Yuan, IceCube Collaboration, B. P. Abbott, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, C. Adams, V. B. Adya, C. Affeldt, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, P. Ajith, G. Allen, A. Allocca, M. A. Aloy, P. A. Altin, A. Amato, A. Ananyeva, S. B. Anderson, W. G. Anderson, S. V. Angelova, S. Antier, S. Appert, K. Arai, M. C. Araya, J. S. Areeda, M. Arène, N. Arnaud, K. G. Arun, S. Ascenzi, G. Ashton, S. M. Aston, P. Astone, F. Aubin, P. Aufmuth, K. AultONeal, C. Austin, V. Avendano, A. Avila-Alvarez, S. Babak, P. Bacon, F. Badaracco, M. K. M. Bader, S. Bae, P. T. Baker, F. Baldaccini, G. Ballardin, S. W. Ballmer, S. Banagiri, J. C. Barayoga, S. E. Barclay, B. C. Barish, D. Barker, K. Barkett, S. Barnum, F. Barone, B. Barr, L. Barsotti, M. Barsuglia, D. Barta, J. Bartlett, I. Bartos, R. Bassiri, A. Basti, M. Bawaj, J. C. Bayley, M. Bazzan, B. Bécsy, M. Bejger, I. Belahcene, A. S. Bell, D. Beniwal, B. K. Berger, G. Bergmann, S. Bernuzzi, J. J. Bero, C. P. L. Berry, D. Bersanetti, A. Bertolini, J. Betzwieser, R. Bhandare, J. Bidler, I. A. Bilenko, S. A. Bilgili, G. Billingsley, J. Birch, I. A. Birney, O. Birnholtz, S. Biscans, S. Biscoveanu, A. Bisht, M. Bitossi, M. A. Bizouard, J. K. Blackburn, C. D. Blair, D. G. Blair, R. M. Blair, S. Bloemen, N. Bode, M. Boer, Y. Boetzel, G. Bogaert, F. Bondu, E. Bonilla, R. Bonnand, P. Booker, B. A. Boom, C. D. Booth, R. Bork, V. Boschi, S. Bose, K. Bossie, V. Bossilkov, J. Bosveld, Y. Bouffanais, A. Bozzi, C. Bradaschia, P. R. Brady, A. Bramley, M. Branchesi, J. E. Brau, T. Briant, J. H. Briggs, F. Brighenti, A. Brillet, M. Brinkmann, V. Brisson, P. Brockill, A. F. Brooks, D. D. Brown, S. Brunett, A. Buikema, T. Bulik, H. J. Bulten, A. Buonanno, D. Buskulic, C. Buy, R. L. Byer, M. Cabero, L. Cadonati, G. Cagnoli, C. Cahillane, J. Calderón Bustillo, T. A. Callister, E. Calloni, J. B. Camp, W. A. Campbell, K. C. Cannon, H. Cao, J. Cao, E. Capocasa, F. Carbognani, S. Caride, M. F. Carney, G. Carullo, J. Casanueva Diaz, C. Casentini, S. Caudill, M. Cavaglià, F. Cavalier, R. Cavalieri, G. Cella, P. Cerdá-Durán, G. Cerretani, E. Cesarini, O. Chaibi, K. Chakravarti, S. J. Chamberlin, M. Chan, S. Chao, P. Charlton, E. A. Chase, E. Chassande-Mottin, D. Chatterjee, M. Chaturvedi, B. D. Cheeseboro, H. Y. Chen, X. Chen, Y. Chen, H.-P. Cheng, C. K. Cheong, H. Y. Chia, A. Chincarini, A. Chiummo, G. Cho, H. S. Cho, M. Cho, N. Christensen, Q. Chu, S. Chua, K. W. Chung, S. Chung, G. Ciani, A. A. Ciobanu, R. Ciolfi, F. Cipriano, A. Cirone, F. Clara, J. A. Clark, P. Clearwater, F. Cleva, C. Cocchieri, E. Coccia, P.-F. Cohadon, D. Cohen, R. Colgan, M. Colleoni, C. G. Collette, C. Collins, L. R. Cominsky, M. Constancio Jr., L. Conti, S. J. Cooper, P. Corban, T. R. Corbitt, I. Cordero-Carrión, K. R. Corley, N. Cornish, A. Corsi, S. Cortese, C. A. Costa, R. Cotesta, M. W. Coughlin, S. B. Coughlin, J.-P. Coulon, S. T. Countryman, P. Couvares, P. B. Covas, E. E. Cowan, D. M. Coward, M. J. Cowart, D. C. Coyne, R. Coyne, J. D. E. Creighton, T. D. Creighton, J. Cripe, M. Croquette, S. G. Crowder, T. J. Cullen, A. Cumming, L. Cunningham, E. Cuoco, T. Dal Canton, G. Dálya, S. L. Danilishin, S. D’Antonio, K. Danzmann, A. Dasgupta, C. F. Da Silva Costa, L. E. H. Datrier, V. Dattilo, I. Dave, M. Davier, D. Davis, E. J. Daw, D. DeBra, M. Deenadayalan, J. Degallaix, M. De Laurentis, S. Deléglise, W. Del Pozzo, L. M. DeMarchi, N. Demos, T. Dent, M. Denys, R. De Pietri, J. Derby, R. De Rosa, C. De Rossi, R. DeSalvo, O. de Varona, S. Dhurandhar, M. C. Díaz, T. Dietrich, L. Di Fiore, M. Di Giovanni, T. Di Girolamo, A. Di Lieto, B. Ding, S. Di Pace, F. Di Renzo, A. Dmitriev, Z. Doctor, F. Donovan, K. L. Dooley, S. Doravari, I. Dorrington, T. P. Downes, M. Drago, J. C. Driggers, Z. Du, J.-G. Ducoin, P. Dupej, S. E. Dwyer, P. J. Easter, T. B. Edo, M. C. Edwards, A. Effler, P. Ehrens, J. Eichholz, S. S. Eikenberry, M. Eisenmann, R. A. Eisenstein, R. C. Essick, H. Estelles, D. Estevez, Z. B. Etienne, T. Etzel, M. Evans, T. M. Evans, V. Fafone, H. Fair, S. Fairhurst, X. Fan, S. Farinon, B. Farr, W. M. Farr, E. J. Fauchon-Jones, M. Favata, M. Fays, M. Fazio, C. Fee, J. Feicht, M. M. Fejer, F. Feng, A. Fernandez-Galiana, I. Ferrante, E. C. Ferreira, T. A. Ferreira, F. Ferrini, F. Fidecaro, I. Fiori, D. Fiorucci, M. Fishbach, R. P. Fisher, J. M. Fishner, M. Fitz-Axen, R. Flaminio, M. Fletcher, E. Flynn, H. Fong, J. A. Font, P. W. F. Forsyth, J.-D. Fournier, S. Frasca, F. Frasconi, Z. Frei, A. Freise, R. Frey, V. Frey, P. Fritschel, V. V. Frolov, P. Fulda, M. Fyffe, H. A. Gabbard, B. U. Gadre, S. M. Gaebel, J. R. Gair, L. Gammaitoni, M. R. Ganija, S. G. Gaonkar, A. Garcia, C. García-Quirós, F. Garufi, B. Gateley, S. Gaudio, G. Gaur, V. Gayathri, G. Gemme, E. Genin, A. Gennai, D. George, J. George, L. Gergely, V. Germain, S. Ghonge, Abhirup Ghosh, Archisman Ghosh, S. Ghosh, B. Giacomazzo, J. A. Giaime, K. D. Giardina, A. Giazotto, K. Gill, G. Giordano, L. Glover, P. Godwin, E. Goetz, R. Goetz, B. Goncharov, G. González, J. M. Gonzalez Castro, A. Gopakumar, M. L. Gorodetsky, S. E. Gossan, M. Gosselin, R. Gouaty, A. Grado, C. Graef, M. Granata, A. Grant, S. Gras, P. Grassia, C. Gray, R. Gray, G. Greco, A. C. Green, R. Green, E. M. Gretarsson, P. Groot, H. Grote, S. Grunewald, P. Gruning, G. M. Guidi, H. K. Gulati, Y. Guo, A. Gupta, M. K. Gupta, E. K. Gustafson, R. Gustafson, L. Haegel, O. Halim, B. R. Hall, E. D. Hall, E. Z. Hamilton, G. Hammond, M. Haney, M. M. Hanke, J. Hanks, C. Hanna, O. A. Hannuksela, J. Hanson, T. Hardwick, K. Haris, J. Harms, G. M. Harry, I. W. Harry, C.-J. Haster, K. Haughian, F. J. Hayes, J. Healy, A. Heidmann, M. C. Heintze, H. Heitmann, P. Hello, G. Hemming, M. Hendry, I. S. Heng, J. Hennig, A. W. Heptonstall, F. J. Hernandez, M. Heurs, S. Hild, T. Hinderer, D. Hoak, S. Hochheim, D. Hofman, A. M. Holgado, N. A. Holland, K. Holt, D. E. Holz, P. Hopkins, C. Horst, J. Hough, E. J. Howell, C. G. Hoy, A. Hreibi, E. A. Huerta, D. Huet, B. Hughey, M. Hulko, S. Husa, S. H. Huttner, T. Huynh-Dinh, B. Idzkowski, A. Iess, C. Ingram, R. Inta, G. Intini, B. Irwin, H. N. Isa, J.-M. Isac, M. Isi, B. R. Iyer, K. Izumi, T. Jacqmin, S. J. Jadhav, K. Jani, N. N. Janthalur, P. Jaranowski, A. C. Jenkins, J. Jiang, D. S. Johnson, A. W. Jones, D. I. Jones, R. Jones, R. J. G. Jonker, L. Ju, J. Junker, C. V. Kalaghatgi, V. Kalogera, B. Kamai, S. Kandhasamy, G. Kang, J. B. Kanner, S. J. Kapadia, S. Karki, K. S. Karvinen, R. Kashyap, M. Kasprzack, S. Katsanevas, E. Katsavounidis, W. Katzman, S. Kaufer, K. Kawabe, N. V. Keerthana, F. Kéfélian, D. Keitel, R. Kennedy, J. S. Key, F. Y. Khalili, H. Khan, I. Khan, S. Khan, Z. Khan, E. A. Khazanov, M. Khursheed, N. Kijbunchoo, Chunglee Kim, J. C. Kim, K. Kim, W. Kim, W. S. Kim, Y.-M. Kim, C. Kimball, E. J. King, P. J. King, M. Kinley-Hanlon, R. Kirchhoff, J. S. Kissel, L. Kleybolte, J. H. Klika, S. Klimenko, T. D. Knowles, P. Koch, S. M. Koehlenbeck, G. Koekoek, S. Koley, V. Kondrashov, A. Kontos, N. Koper, M. Korobko, W. Z. Korth, I. Kowalska, D. B. Kozak, V. Kringel, N. Krishnendu, A. Królak, G. Kuehn, A. Kumar, P. Kumar, R. Kumar, S. Kumar, L. Kuo, A. Kutynia, S. Kwang, B. D. Lackey, K. H. Lai, T. L. Lam, M. Landry, B. B. Lane, R. N. Lang, J. Lange, B. Lantz, R. K. Lanza, A. Lartaux-Vollard, P. D. Lasky, M. Laxen, A. Lazzarini, C. Lazzaro, P. Leaci, S. Leavey, Y. K. Lecoeuche, C. H. Lee, H. K. Lee, H. M. Lee, H. W. Lee, J. Lee, K. Lee, J. Lehmann, A. Lenon, N. Leroy, N. Letendre, Y. Levin, J. Li, K. J. L. Li, T. G. F. Li, X. Li, F. Lin, F. Linde, S. D. Linker, T. B. Littenberg, J. Liu, X. Liu, R. K. L. Lo, N. A. Lockerbie, L. T. London, A. Longo, M. Lorenzini, V. Loriette, M. Lormand, G. Losurdo, J. D. Lough, C. O. Lousto, G. Lovelace, M. E. Lower, H. Lück, D. Lumaca, A. P. Lundgren, R. Lynch, Y. Ma, R. Macas, S. Macfoy, M. MacInnis, D. M. Macleod, A. Macquet, F. Magaña-Sandoval, L. Magaña Zertuche, R. M. Magee, E. Majorana, I. Maksimovic, A. Malik, N. Man, V. Mandic, V. Mangano, G. L. Mansell, M. Manske, M. Mantovani, F. Marchesoni, F. Marion, S. Márka, Z. Márka, C. Markakis, A. S. Markosyan, A. Markowitz, E. Maros, A. Marquina, S. Marsat, F. Martelli, I. W. Martin, R. M. Martin, D. V. Martynov, K. Mason, E. Massera, A. Masserot, T. J. Massinger, M. Masso-Reid, S. Mastrogiovanni, A. Matas, F. Matichard, L. Matone, N. Mavalvala, N. Mazumder, J. J. McCann, R. McCarthy, D. E. McClelland, S. McCormick, L. McCuller, S. C. McGuire, J. McIver, D. J. McManus, T. McRae, S. T. McWilliams, D. Meacher, G. D. Meadors, M. Mehmet, A. K. Mehta, J. Meidam, A. Melatos, G. Mendell, R. A. Mercer, L. Mereni, E. L. Merilh, M. Merzougui, S. Meshkov, C. Messenger, C. Messick, R. Metzdorff, P. M. Meyers, H. Miao, C. Michel, H. Middleton, E. E. Mikhailov, L. Milano, A. L. Miller, A. Miller, M. Millhouse, J. C. Mills, M. C. Milovich-Goff, O. Minazzoli, Y. Minenkov, A. Mishkin, C. Mishra, T. Mistry, S. Mitra, V. P. Mitrofanov, G. Mitselmakher, R. Mittleman, G. Mo, D. Moffa, K. Mogushi, S. R. P. Mohapatra, M. Montani, C. J. Moore, D. Moraru, G. Moreno, S. Morisaki, B. Mours, C. M. Mow-Lowry, Arunava Mukherjee, D. Mukherjee, S. Mukherjee, N. Mukund, A. Mullavey, J. Munch, E. A. Muñiz, M. Muratore, P. G. Murray, I. Nardecchia, L. Naticchioni, R. K. Nayak, J. Neilson, G. Nelemans, T. J. N. Nelson, M. Nery, A. Neunzert, K. Y. Ng, S. Ng, P. Nguyen, D. Nichols, S. Nissanke, F. Nocera, C. North, L. K. Nuttall, M. Obergaulinger, J. Oberling, B. D. O’Brien, G. D. O’Dea, G. H. Ogin, J. J. Oh, S. H. Oh, F. Ohme, H. Ohta, M. A. Okada, M. Oliver, P. Oppermann, Richard J. Oram, B. O’Reilly, R. G. Ormiston, L. F. Ortega, R. O’Shaughnessy, S. Ossokine, D. J. Ottaway, H. Overmier, B. J. Owen, A. E. Pace, G. Pagano, M. A. Page, A. Pai, S. A. Pai, J. R. Palamos, O. Palashov, C. Palomba, A. Pal-Singh, Huang-Wei Pan, B. Pang, P. T. H. Pang, C. Pankow, F. Pannarale, B. C. Pant, F. Paoletti, A. Paoli, A. Parida, W. Parker, D. Pascucci, A. Pasqualetti, R. Passaquieti, D. Passuello, M. Patil, B. Patricelli, B. L. Pearlstone, C. Pedersen, M. Pedraza, R. Pedurand, A. Pele, S. Penn, C. J. Perez, A. Perreca, H. P. 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Van Den Broeck, D. C. Vander-Hyde, L. van der Schaaf, J. V. van Heijningen, A. A. van Veggel, M. Vardaro, V. Varma, S. Vass, M. Vasúth, A. Vecchio, G. Vedovato, J. Veitch, P. J. Veitch, K. Venkateswara, G. Venugopalan, D. Verkindt, F. Vetrano, A. Viceré, A. D. Viets, D. J. Vine, J.-Y. Vinet, S. Vitale, T. Vo, H. Vocca, C. Vorvick, S. P. Vyatchanin, A. R. Wade, L. E. Wade, M. Wade, R. Walet, M. Walker, L. Wallace, S. Walsh, G. Wang, H. Wang, J. Z. Wang, W. H. Wang, Y. F. Wang, R. L. Ward, Z. A. Warden, J. Warner, M. Was, J. Watchi, B. Weaver, L.-W. Wei, M. Weinert, A. J. Weinstein, R. Weiss, F. Wellmann, L. Wen, E. K. Wessel, P. Weßels, J. W. Westhouse, K. Wette, J. T. Whelan, B. F. Whiting, C. Whittle, D. M. Wilken, D. Williams, A. R. Williamson, J. L. Willis, B. Willke, M. H. Wimmer, W. Winkler, C. C. Wipf, H. Wittel, G. Woan, J. Woehler, J. K. Wofford, J. Worden, J. L. Wright, D. S. Wu, D. M. Wysocki, L. Xiao, H. Yamamoto, C. C. Yancey, L. Yang, M. J. Yap, M. Yazback, D. W. Yeeles, Hang Yu, Haocun Yu, S. H. R. Yuen, M. Yvert, A. K. Zadrozny, A. Zadrożny, M. Zanolin, T. Zelenova, J.-P. Zendri, M. Zevin, J. Zhang, L. Zhang, T. Zhang, C. Zhao, M. Zhou, Z. Zhou, X. J. Zhu, M. E. Zucker, J. Zweizig, and The LIGO Scientific Collaboration and the Virgo Collaboration

Subjects
gravitational waves, neutrinos, Astrophysics, QB460-466
Abstract

Astrophysical sources of gravitational waves, such as binary neutron star and black hole mergers or core-collapse supernovae, can drive relativistic outflows, giving rise to non-thermal high-energy emission. High-energy neutrinos are signatures of such outflows. The detection of gravitational waves and high-energy neutrinos from common sources could help establish the connection between the dynamics of the progenitor and the properties of the outflow. We searched for associated emission of gravitational waves and high-energy neutrinos from astrophysical transients with minimal assumptions using data from Advanced LIGO from its first observing run O1, and data from the A ntares and IceCube neutrino observatories from the same time period. We focused on candidate events whose astrophysical origins could not be determined from a single messenger. We found no significant coincident candidate, which we used to constrain the rate density of astrophysical sources dependent on their gravitational-wave and neutrino emission processes.

Published
2019
Full Text
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2. Erratum: Searches for continuous gravitational waves from 15 supernova remnants and fomalhaut b with advanced LIGO (2019, ApJ, 875, 122)*

Author

A. Parida, S. S. Eikenberry, F. Frasconi, Chris A. Collins, R. Flaminio, Marcus E. Lower, Rosa Poggiani, V. Frey, E. K. Wessel, Nikhil Sarin, Odylio D. Aguiar, I. W. Martin, S. Farinon, P. Raffai, Andrew Matas, C. F. Da Silva Costa, M. A. Okada, G. Rutins, Graham Woan, Sebastiano Bernuzzi, D. Passuello, A. Cirone, H. S. Chen, Hyun Lee, J. D. Lough, K. Mason, S. A. Bilgili, E. C. Ferreira, Robert L. Byer, J. Calderón Bustillo, Sanjeev Dhurandhar, O. Halim, N. A. Robertson, Stuart Reid, F. J. Hayes, Patrick Godwin, N. Sennett, P. Kumar, Jacob Scheuer, B. R. Hall, J. Hanks, R. M. Martin, David A. Nichols, Edward K. Porter, J. G. Bartlett, Márton Tápai, K. W. Tsang, C. Horst, W. A. Campbell, Andreas Freise, C. V. Kalaghatgi, M. Rakhmanov, G. Pagano, Paul D. Lasky, J. W. Westhouse, M. C. Araya, Srishti Tiwari, C. Lazzaro, Patricia Schmidt, V. Brisson, Bernard F. Schutz, Li Ju, Matthew Pitkin, D. Cohen, Kiran Prasai, P. J. Veitch, S. A. Usman, C. Messenger, Liam Cunningham, E. A. M. Muniz, Daniel A. Shaddock, P. Gruning, Brittany Kamai, Riccardo Ciolfi, Alberto Vecchio, Geoffrey Mo, J. M. Fishner, Roman Schnabel, J. Hanson, M. Wade, M. Montani, P. Sharma, Héctor Estellés, N. Letendre, F. Ricci, A. Lenon, J. E. Brau, A. A. van Veggel, Richard Gray, Efim A. Khazanov, Peter T. H. Pang, C. Affeldt, G. Ballardin, Moritz Mehmet, A. A. Ciobanu, M. Granata, Minchuan Zhou, F. Marion, P. Brockill, Nancy Aggarwal, Hang Yu, P. G. Murray, Fabien Kéfélian, J. H. Hough, P. W. F. Forsyth, S. R. Thondapu, J. R. Palamos, Michele Zanolin, S. Mukherjee, T. J. Massinger, T. Vo, V. Kalogera, N. Leroy, G. D. Hammond, Javed Rana, H. Fong, G. Greco, M. Haney, T. A. Callister, Alec Mishkin, R. Cavalieri, S. R. P. Mohapatra, G. Giordano, K. Toland, A. K. Srivastava, A. E. Pace, H. Ohta, Vuk Mandic, B. Bécsy, M. Kasprzack, I. Dave, B. D. Lackey, R. L. Ward, Scott Coughlin, A.J. Weinstein, K. H. Lai, M. Phelps, H. S. Cho, L. Kuo, H. Yamamoto, E. Capocasa, M. Chan, S. Walsh, D. J. McManus, A. 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B. Tanner, A. Trovato, Olivier Minazzoli, Magnus Manske, M. Razzano, C. C. Yancey, F. Vetrano, Zachariah B. Etienne, Jennifer Watchi, E. Maros, R. C. Walet, V. P. Mitrofanov, R. Colgan, C. S. Unnikrishnan, G. Moreno, V. Kondrashov, P. Leaci, S. Meshkov, Seog Oh, S. P. Stevenson, Achamveedu Gopakumar, R. Inta, C. J. Richardson, S. Klimenko, M. J. Yap, C. Palomba, W. G. Anderson, G. Cella, F.L. Linde, P. Booker, L. Milano, S. C. Tait, N. V. Krishnendu, A. Pasqualetti, W. Del Pozzo, W. M. Farr, A. C. Green, Fausto Acernese, M. Korobko, B. C. Pant, C. Messick, J. Derby, J. Healy, K. A. Thorne, A. Cumming, M. Denys, M. Tse, S. Ascenzi, S. E. Dwyer, R. M. Magee, David Keitel, V. Germain, S. J. Cooper, Giacomo Ciani, K. Rao, Yongjung Kim, Peter Weßels, I. A. Bilenko, L. Haegel, David J. Ottaway, B. P. Abbott, H. Vahlbruch, J. C. Mills, E. K. Gustafson, K. Riles, J. Y. Vinet, H. Middleton, S. Doravari, H. Heitmann, Piotr Jaranowski, M. S. Shahriar, P. Ruggi, M. Weinert, H. A. G. Gabbard, D. M. Macleod, Karan Jani, B. L. Swinkels, Arunava Mukherjee, S. Privitera, L. Glover, Imre Bartos, Isabel Cordero-Carrión, H. Qi, E. Genin, J. Zhang, F. Baldaccini, B. U. Gadre, A. Lartaux-Vollard, B. Irwin, R. Shink, L. Rei, Huang-Wei Pan, Gijs Nelemans, S. Vass, Kenneth A. Strain, Jimin George, R. Coyne, C. Gray, G. H. Ogin, T. J. Shaffer, M. Sieniawska, Fabrice Matichard, A. Paoli, K. A. Santiago, F. Fidecaro, G. M. Guidi, G. Cagnoli, Arnold Miller, H. N. Isa, Suvadeep Bose, V. Tiwari, V. Quetschke, Yann Bouffanais, Martin M. Fejer, L. F. Ortega, D. Lumaca, M. Pedraza, R. Bork, S. Ghonge, Y. Minenkov, P. Bacon, K. AultONeal, K. Chakravarti, E. D. Hall, L. Sammut, Lionel London, D. George, R. K. Lanza, Y. Boetzel, Alexander C. Jenkins, P. Dupej, Eric B. Flynn, Z. Márka, M. Mantovani, T. Prestegard, D. W. Yeeles, Xie Chen, A. Markowitz, Fabio Marchesoni, P. Hello, Samuel Deléglise, M. Merzougui, A. Fernandez-Galiana, S. M. Scott, M. Obergaulinger, Turlough P. Downes, F. Cavalier, A. Ain, R. J. Trudeau, K. Holt, Chunglee Kim, L. van der Schaaf, S. A. Pai, C. De Rossi, W. Parker, A. Gennai, Rahul Kumar, Harald P. Pfeiffer, Milan Gupta, G. Dálya, B. Gateley, G. Cho, J. C. Bayley, Aaron Buikema, V. Sandberg, E. J. King, M. J. Cowart, S. Koley, M. Boer, G. Mendell, S. J. Jadhav, B. Idzkowski, V. Loriette, V. Skliris, J. K. Blackburn, E. Chassande-Mottin, Shubhanshu Tiwari, G. Koekoek, L. Trozzo, C. Pankow, P. M. Meyers, Koh Ueno, Christian Pedersen, Albert Lazzarini, Kyungmin Kim, N. Koper, H. Wittel, M. Deenadayalan, B. O'Reilly, A. W. Jones, Sheila Rowan, S. G. Schwalbe, D. Pascucci, R. De Pietri, S. Mitra, T. Sadecki, W. Ren, Rocco Romano, John D. Scott, J. Z. Wang, S. Grunewald, R. Prasanna, R. Cotesta, R. G. Ormiston, S. Kaufer, Rainer Weiss, David E. McClelland, Paul J. Groot, M. Zevin, R. A. Mercer, S. Ossokine, Jinsook Kim, Rebecca Fisher, J. Li, A. M. Holgado, H. Fair, Samaya Nissanke, X. Liu, M. A. Bizouard, K. Bossie, John Veitch, J. Lehmann, Al Imran Malik, K. G. Arun, J. D. Tasson, C. K. Cheong, J. R. Gair, M. Fitz-Axen, B. K. Berger, S. D'Antonio, N. Arnaud, K. E. Ramirez, W. Z. Korth, Daniel E. Holz, F. Di Renzo, Torrey Cullen, B. J. J. Slagmolen, Archana Pai, F. Paoletti, Vijay Varma, M. MacInnis, Marco Romanelli, M. Fyffe, F. Cipriano, David Blair, C. Fee, Gabriela Gonzalez, F. Aubin, G. Stratta, Jesper Munch, K. R. Corley, A. Mullavey, T. J. N. Nelson, J. Birch, S. Bae, P. Rapagnani, F. J. Raab, D. Tuyenbayev, B. Patricelli, D. S. Wu, Margaret Millhouse, S. Barnum, D. Buskulic, S. G. Gaonkar, E. Coccia, M. E. Zucker, C. Graef, B. A. Weaver, Xiaohui Fan, J. G. Rollins, Richard O'Shaughnessy, B. Barr, M. De Laurentis, D. Ugolini, P. Clearwater, G. Valdes, David Jones, M. R. Ganija, L.-W. Wei, Haixing Miao, G. Bogaert, R. Taylor, P. Popolizio, Koji Arai, Ryan Lynch, A. D. Viets, D. Meacher, E. J. Fauchon-Jones, E. J. Sanchez, S. Ponrathnam, G. A. Prodi, K. L. Dooley, Fangchen Feng, Lisa Barsotti, Kris Ryan, E. A. Quintero, Marco Cavaglia, J.J. Bero, Leo Tsukada, David H. Shoemaker, M. Lormand, D. J. Stops, S. Karki, Anirban Dasgupta, E. Z. Hamilton, R. J. G. Jonker, J. S. H. Lee, T. Dal Canton, J. Warner, R. Passaquieti, D. Verkindt, Mairi Sakellariadou, G. Pillant, S. H. R. Yuen, Keith Rose, K. S. Karvinen, F. Martelli, C. Rajan, Pablo Cerdá-Durán, Peter R. Saulson, V. Sequino, Tenglin Li, R. DeSalvo, D. Estevez, B. Pang, Paul T. Baker, O. V. Palashov, Sean T. McWilliams, D. Rosińska, J. C. Barayoga, V. Fafone, R. Tso, Jonathan Richardson, F. Piergiovanni, Chang-Hwan Lee, N. Sanchis-Gual, N. Radulescu, L. Mereni, Terry G. McRae, S. Mastrogiovanni, Richard J. Abbott, L. G. Prokhorov, Patrick M. Koch, S. Antier, S. Banagiri, A. Grant, D. Chatterjee, T. L. Lam, A. Pele, A. Chiummo, Nergis Mavalvala, Alessandro Longo, Richard J. Oram, M. Davier, Jerome Degallaix, François Bondu, F. Badaracco, Sebastian Khan, B. C. Barish, Hartmut Grote, R. J. E. Smith, John A. Clark, Ben Farr, Christophe Collette, Ho-Gyu Lee, G. Losurdo, Luca Gammaitoni, R. Metzdorff, C. J. Perez, B. D. O'Brien, M. K. M. Bader, O. Chaibi, Devon S. Johnson, C. Bradaschia, P. Oppermann, Neil J. Cornish, S. Frasca, M. Di Giovanni, Ik Siong Heng, Kai Staats, F-L. Lin, L. Conti, M. Chaturvedi, S. Márka, Stephen Fairhurst, Carl Blair, Peter Aufmuth, T. Di Girolamo, V. Mangano, A. L. Miller, S. Ghosh, László Á. Gergely, A. Macquet, P. Astone, B. Lantz, Daichi Tsuna, K. Mogushi, P. J. King, J. T. Whelan, S. G. Crowder, J. Feicht, Joey Shapiro Key, J. R. Sanders, António Alves da Silva, Q. Chu, S. V. Angelova, L. Magaña Zertuche, Lili Yang, Laura Cadonati, D. A. Steer, M. Branchesi, Zefeng Zhou, D. Y. T. Pong, L. Kleybolte, E. Massera, F. Wellmann, Edward Seidel, O. E. S. Sauter, J. Woehler, S. Chung, K. S. Phukon, A. Avila-Alvarez, Chad Hanna, A. Bramley, C. Kimball, J. Oberling, M. Pirello, K. Gill, Walter Winkler, A. S. Markosyan, Harald Lück, J. Bidler, M. Cho, G. Gaur, S. C. McGuire, J. F. Read, F. Nocera, C. Zhao, Alicia M. Sintes, S. Di Pace, K. Haris, T. Zhang, N. Demos, Thibaut Jacqmin, T. Regimbau, I. Maksimovic, G. Hemming, S. M. Koehlenbeck, M. Saleem, M. Oliver, Douglas Davis, Geraint Pratten, E. Goetz, Tarun Souradeep, Andrea Taracchini, D. Bersanetti, G. Ashton, S. Penn, J. V. van Heijningen, Yu Wang, F. Thies, G. L. Mansell, V. Dattilo, Edwin J. Son, Eric Thrane, Stefan Hild, Y. Ma, A. Brillet, C. Michel, M. Vardaro, Sarah Caudill, T. D. Knowles, F. Robinet, V. B. Adya, J. K. Wofford, F. Cleva, M. P. Ross, T. B. Edo, M. Pichot, Maximiliano Isi, E. M. Gretarsson, Ying Guo, D. Beniwal, Peter Fritschel, Wenxiao Wang, M. Masso-Reid, S. Kwang, L. E. Sanchez, Enrico Calloni, G. Traylor, Thomas Corbitt, L. Salconi, C. A. Costa, Zhihui Du, Laboratoire des matériaux avancés (LMA), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), (Astro)-Particles Physics, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)

Subjects
Physics, [PHYS]Physics [physics], 010504 meteorology & atmospheric sciences, Gravitational wave, Astronomy, Astronomy and Astrophysics, 01 natural sciences, LIGO, Supernova, Fomalhaut, Space and Planetary Science, 0103 physical sciences, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract

Equation (5) of the published article?(Abbott et al. 2019) is in error; it should read (Formula Presented) The upper limits on ò presented in the published article are unaffected by this error.

Published
2021
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3. Long term measurements from the Mátra Gravitational and Geophysical Laboratory

Author

Árpád Kis, Judit Somogyiné Molnár, E. Fenyvesi, Tomasz Bulik, Péter Ván, István Kovács, M. Cieślar, Z. Zimborás, S. Lökös, M. C. Tringali, Róbert Kovács, M. Suchenek, Attila Novák, Sándor Szalai, M. Vasúth, István Lemperger, Tamás S. Biró, E. Dávid, Mihály Dobróka, Balázs Vásárhelyi, M. Denys, Zoltán Gráczer, Viktor Wesztergom, G. Hamar, E. Debreceni, D. Gondek-Rosinska, Peter Levai, D. Varga, Gergely Gabor Barnafoldi, G. Huba, S. Czellár, Zoltán Wéber, B. Kacskovics, N. Singh, Janusz Mlynarczyk, Cs. Czanik, László Oláh, Gergely Surányi, L. Somlai, and Tomasz Starecki

Subjects
COSMIC cancer database, Gravitational-wave observatory, Einstein Telescope, 010308 nuclear & particles physics, Infrasound, Detector, Astrophysics::Instrumentation and Methods for Astrophysics, General Physics and Astronomy, Geophysics, 01 natural sciences, Physics::Geophysics, High Energy Physics - Experiment, Physics - Geophysics, Gravitation, Signal-to-noise ratio, 0103 physical sciences, General Materials Science, Physical and Theoretical Chemistry, Astrophysics - Instrumentation and Methods for Astrophysics, 010306 general physics, Geology, Noise (radio)
Abstract

Summary of the long term data taking, related to one of the proposed next generation ground-based gravitational detector's location is presented here. Results of seismic and infrasound noise, electromagnetic attenuation and cosmic muon radiation measurements are reported in the underground Matra Gravitational and Geophysical Laboratory near Gy\"ongy\"osoroszi, Hungary. The collected seismic data of more than two years is evaluated from the point of view of the Einstein Telescope, a proposed third generation underground gravitational wave observatory. Applying our results for the site selection will significantly improve the signal to nose ratio of the multi-messenger astrophysics era, especially at the low frequency regime., Comment: 47 pages, 37 figures

Published
2019
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4. Model of cunning agents

Author

M. Denys

Subjects
Statistics and Probability, Stylized fact, Statistical Finance (q-fin.ST), Autocorrelation, Financial market, FOS: Physical sciences, Quantitative Finance - Statistical Finance, Statistical and Nonlinear Physics, Computational Physics (physics.comp-ph), 01 natural sciences, 010305 fluids & plasmas, FOS: Economics and business, Computer Science::Multiagent Systems, Variable (computer science), Action (philosophy), 0103 physical sciences, Value (economics), Econometrics, Economics, Spin model, 010306 general physics, Physics - Computational Physics, Potts model
Abstract

A numerical agent-based spin model of financial markets, based on the Potts model from statistical mechanics, with a novel interpretation of the spin variable (as regards financial-market models) is presented. In this model, a value of the spin variable is only the agent's opinion concerning current market situation, which he communicates to his nearest neighbors. Instead, the agent's action (i.e., buying, selling, or staying inactive) is connected with a change of the spin variable. Hence, the agents can be considered as cunning in this model. That is, these agents encourage their neighbors to buy stocks if the agents have an opportunity to sell them, and the agents encourage their neighbors to sell stocks if the agents have a reversed opportunity. Predictions of the model are in good agreement with empirical data from various real-life financial markets. The model reproduces the shape of the usual and absolute-value autocorrelation function of returns as well as the distribution of times between superthreshold losses., 20 pages, 10 figures

Published
2020

5. Unsteady Hydrodynamic Behavior at Piano Key Weirs

Author

Frank J. M. Denys and Basson Gr

Subjects
Mechanical Engineering, 0208 environmental biotechnology, Piano, Numerical modeling, 02 engineering and technology, Mechanics, 01 natural sciences, 010305 fluids & plasmas, 020801 environmental engineering, Nonlinear system, Flow separation, Hydraulic structure, 0103 physical sciences, Key (cryptography), Geology, Water Science and Technology, Civil and Structural Engineering
Abstract

Piano key weirs (PKWs) are nonlinear hydraulic structures that exhibit unsteady hydraulic phenomena. A study incorporating both physical and numerical modeling was undertaken to identify in...

Published
2020
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6. Application of Spatio-Temporal Spectral Analysis for Detection of Seismic Waves in Gravitational-Wave Interferometer

Author

M. Denys, Robert Szymko, Maciej Suchiński, A. Kutynia, B. Idźkowski, K Nikliborc, and Tomasz Bulik

Subjects
virgo, fourier analysis, 010308 nuclear & particles physics, Gravitational wave, Astronomy, Acoustics, Detector, spatio–temporal spectral analysis, QB1-991, seismic sensor, Astronomy and Astrophysics, Virgo interferometer, 01 natural sciences, Seismic wave, newtonian noise, Interferometry, symbols.namesake, Amplitude, Fourier analysis, 0103 physical sciences, symbols, seismicity, 010306 general physics, Noise (radio), Geology
Abstract

Mixed spatio–temporal spectral analysis was applied for the detection of seismic waves passing through the west–end building of the Virgo interferometer. The method enables detection of a passing wave, including its frequency, length, direction, and amplitude. A thorough analysis aimed at improving sensitivity of the Virgo detector was made for the data gathered by 38 seismic sensors, in the two–week measurement period, from 24 January to 6 February 2018, and for frequency range 5–20 Hz. Two dominant seismic–wave frequencies were found: 5.5 Hz and 17.1 Hz. The presented method can be applied for a better understanding of the interferometer seismic environment, and by identifying noise sources, help the noise–hunting and mitigation work that eventually leads to interferometer noise suppression.

Published
2021
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7. Dynamic bifurcations on financial markets

Author

Zbigniew R. Struzik, M. Denys, G. Link, M. Kozłowska, Tomasz Gubiec, Ryszard Kutner, T. R. Werner, Mateusz Wilinski, Kozłowska, M., Denys, M., Wiliński, M., Link, G., Gubiec, T., Werner, T. R., Kutner, R., and Struzik, Z. R.

Subjects
Index (economics), General Mathematics, media_common.quotation_subject, General Physics and Astronomy, Monetary economics, 01 natural sciences, 010305 fluids & plasmas, Early-warning signal, 0103 physical sciences, Early warning signs, Economics, Mathematics (all), 010306 general physics, Economic bubble, media_common, Actuarial science, Applied Mathematics, Financial market, Closing (real estate), Catastrophic slowing down, Statistical and Nonlinear Physics, Catastrophic bifurcation breakdown, Worldwide financial crisi, Flickering phenomena, Financial crisis, Construct (philosophy)
Abstract

We provide evidence that catastrophic bifurcation breakdowns or transitions, preceded by early warning signs such as flickering phenomena, are present on notoriously unpredictable financial markets. For this we construct robust indicators of catastrophic dynamical slowing down and apply these to identify hallmarks of dynamical catastrophic bifurcation transitions. This is done using daily closing index records for the representative examples of financial markets of small and mid to large capitalisations experiencing a speculative bubble induced by the worldwide financial crisis of 2007-08.

Published
2016
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8. Statistical Collapse of Excessive Market Losses

Author

Ryszard Kutner, M. Jagielski, Tomasz Gubiec, H.E. Stanley, and M. Denys

Subjects
0103 physical sciences, Forensic engineering, medicine, Economics, General Physics and Astronomy, medicine.symptom, 010306 general physics, 01 natural sciences, Collapse (medical), 010305 fluids & plasmas
Published
2016
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9. Universality of market superstatistics

Author

H. Eugene Stanley, Ryszard Kutner, M. Denys, Maciej Jagielski, and Tomasz Gubiec

Subjects
Volatility clustering, Statistical Finance (q-fin.ST), Control variable, Quantitative Finance - Statistical Finance, Random walk, 01 natural sciences, 010305 fluids & plasmas, Exponential function, FOS: Economics and business, 0103 physical sciences, Econometrics, 010306 general physics, Incomplete gamma function, Scaling, Weibull distribution, Mathematics, Superstatistics
Abstract

We use a key concept of the continuous-time random walk formalism, i.e., continuous and fluctuating interevent times in which mutual dependence is taken into account, to model market fluctuation data when traders experience excessive (or superthreshold) losses or excessive (or superthreshold) profits. We analytically derive a class of "superstatistics" that accurately model empirical market activity data supplied by Bogachev, Ludescher, Tsallis, and Bunde that exhibit transition thresholds. We measure the interevent times between excessive losses and excessive profits and use the mean interevent discrete (or step) time as a control variable to derive a universal description of empirical data collapse. Our dominant superstatistic value is a power-law corrected by the lower incomplete gamma function, which asymptotically tends toward robustness but initially gives an exponential. We find that the scaling shape exponent that drives our superstatistics subordinates itself and a "superscaling" configuration emerges. Thanks to the Weibull copula function, our approach reproduces the empirically proven dependence between successive interevent times. We also use the approach to calculate a dynamic risk function and hence the dynamic VaR, which is significant in financial risk analysis. Our results indicate that there is a functional (but not literal) balance between excessive profits and excessive losses that can be described using the same body of superstatistics but different calibration values and driving parameters. We also extend our original approach to cover empirical seismic activity data (e.g., given by Corral), the interevent times of which range from minutes to years. Superpositioned superstatistics is another class of superstatistics that protects power-law behavior both for short- and long-time behaviors. These behaviors describe well the collapse of seismic activity data and capture so-called volatility clustering phenomena.

Published
2015

10. CRITERIAL APPROACH TO ANALYSIS OF THE COST MANAGEMENT SYSTEM OF BUSINESS STRUCTURES

Author

N. Radionova, S. Breus, M. Denysenko, Ye. Khaustova, and A. Matiukh

Subjects
cost analysis, cost management system, management stages, local criteria, complex criteria, resulting criterion, Economics as a science, HB71-74, Business, HF5001-6182
Abstract

Abstract. The article presents the basic principles of a criteria-based approach to the analysis of the cost management system of business structures. The expediency of analysis for each stage of the cost management process is indicated. The stages of cost management are determined: development (adoption) of a solution, implementation of a solution and control. The method for calculating complex and resulting criteria for analyzing the effectiveness of the cost management system on the example of sewing enterprises is proposed. Among the main results of the proposed criterial approach, the assessment of the effectiveness of the cost management system of a business structure in the context of each stage of management and the possibility of comparing the effectiveness of cost management systems at different enterprises are determined. For each stage of management, the six local criteria have been developed and their quantitative characteristics are indicated to analyze the level of efficiency of the cost management system. Local criteria can take values from 0 to 1. For each of them, there are three options for the accepted value: the most and least effective and intermediate value. Local criteria are combined into a complex criterion. The complex criteria for each stage of management constitute the resulting criterion for assessing the cost management system of the business structure. The closer the obtained value of the resulting criterion is to 1, the more effective the cost management system at the enterprise becomes. The analysis of indicators of five leading domestic enterprises of the garment industry was carried out according to the given methodology. It was found that the performance indicators of each of the studied enterprises are almost half of the optimal result. It is noted that the researched enterprises need to focus on improving the existing cost management systems. Moreover, each enterprise has the cost management system with the different operating efficiency at each stage of management. That is, the proposed methodology allows enterprises to identify problematic aspects in the context of management stages and to make changes to the cost management system in order to increase its efficiency. Keywords: cost analysis, cost management system, management stages, local criteria, complex criteria, resulting criterion, business structure, sewing enterprise. Formulas: 2; fig.: 0; tabl.: 7; bibl.: 14.

Published
2021
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11. Molecular dynamics simulation of the coalescence of surfactant-laden droplets.

Author

Arbabi S, Deuar P, Denys M, Bennacer R, Che Z, and Theodorakis PE

Abstract

We investigate the coalescence of surfactant-laden water droplets by using several different surfactant types and a wide range of concentrations by means of a coarse-grained model obtained by the statistical associating fluid theory. Our results demonstrate in detail a universal mass transport mechanism of surfactant across many concentrations and several surfactant types during the process. Coalescence initiation is seen to occur via a single pinch due to aggregation of surface surfactant, and its remnants tend to become engulfed in part inside the forming bridge. Across the board we confirm the existence of an initial thermal regime with constant bridge width followed by a later inertial regime with bridge width scaling roughly as the square root of time, but see no evidence of an intermediate viscous regime. Coalescence becomes slower as surfactant concentration grows, and we see evidence of the appearance of a further slowdown of a different nature for several times the critical concentration. We anticipate that our results provide further insights in the mechanisms of coalescence of surfactant-laden droplets.

Published
2023
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12. Providing pharmacy services in a basketball arena: Reflections on building a pharmacy in a COVID-19 surge facility.

Author

Warr D, Storey E, Denys M, Brown S, and Rose C

Subjects
Basketball, COVID-19 epidemiology, Humans, Pharmacy Service, Hospital trends, COVID-19 therapy, Mobile Health Units trends, Pharmacists trends, Pharmacy Service, Hospital methods, Students, Pharmacy, Workflow
Abstract

Purpose: As Coronavirus disease 19 (COVID-19) has spread globally, hospital systems have seen an increasing strain on their ability to accommodate the growing caseload. This demand has led countries to adopt varying surge-facility or alternate care site (ACS) models to manage patient overflow. This report describes the experience of setting up pharmacy services at a city-run surge facility in Philadelphia., Summary: The COVID-19 Surge Facility at the Liacouras Center (CSF-L) was initially developed to serve as a site for patients convalescing from acute inpatient stays in order to free up healthcare resources in surrounding hospitals. The CSF-L site required a distinct set of services to provide the desired level of care. This report details the preparations and challenges faced by the CSF-L pharmacy team in this endeavor, including identifying a pharmacy location that met regulatory requirements, obtaining proper licenses, coordinating drug procurement, filling staffing requirements, developing a formulary, defining the pharmacy and medication management workflow, and ensuring safety protocols were followed. This report explains the rational for developing certain processes and suggests alternative options and ideal plans for developing future pharmacy services in an ACS., Conclusion: Identifying a pharmacy leadership team early in the ACS planning process can lead to more efficient plans for pharmacy services. This report details the important steps taken, decisions made, and challenges faced in setting up pharmaceutical services at a COVID-19 field hospital., (© American Society of Health-System Pharmacists 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2021
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13. Biosafety Evaluation of Equine Umbilical Cord-Derived Mesenchymal Stromal Cells by Systematic Pathogen Screening in Peripheral Maternal Blood and Paired UC-MSCs.

Author

Denys M, Léon A, Robert C, Saulnier N, Josson-Schramme A, Legrand L, Wimel L, Maddens S, and Pronost S

Subjects
Animals, Biological Specimen Banks, Containment of Biohazards, Female, Horses, Leukocytes, Mononuclear cytology, Leukocytes, Mononuclear microbiology, Leukocytes, Mononuclear parasitology, Mesenchymal Stem Cells microbiology, Mesenchymal Stem Cells parasitology, Bacteria isolation & purification, Mesenchymal Stem Cells cytology, Piroplasmida isolation & purification, Umbilical Cord cytology, Viruses isolation & purification
Abstract

Background: The growing interest in mesenchymal stromal cells (MSCs) in equine medicine, together with the development of MSC biobanking for allogeneic use, raises concerns about biosafety of such products. MSCs derived from umbilical cord (UC) carry an inherent risk of contamination by environmental conditions and vertical transmission of pathogens from broodmares. There is yet no report in the scientific literature about horses being contaminated by infected MSC products, and no consensus about systematic infectious screening of umbilical cord-derived mesenchymal stromal cells (UC-MSCs) to ensure microbiological safety of therapeutic products. Objectives: To develop a standard protocol to ensure UC-MSC microbiological safety and to assess the risk of vertical transmission of common intracellular pathogens from broodmares to paired UC-MSCs. Study Design and Methods: Eighty-four UC and paired peripheral maternal blood (PMB) samples were collected between 2014 and 2016. Sterility was monitored by microbiological control tests. Maternal contamination was tested by systematical PMB PCR screening for 14 pathogens and a Coggins test. In case of a PCR-positive result regarding one or several pathogen(s) in PMB, a PCR analysis for the detected pathogen(s) was then conducted on the associated UC-MSCs. Results: Ten out of 84 UC samples were contaminated upon extraction and 6/84 remained positive in primo culture. The remaining 78/84 paired PMB & UC-MSC samples were evaluated for vertical transmission; 37/78 PMB samples were PCR positive for Equid herpesvirus (EHV)-1, EHV-2, EHV-5, Theileria equi , Babesia caballi , and/or Mycoplasma spp . Hepacivirus was detected in 2/27 cases and Theiler Diseases Associated Virus in 0/27 cases (not performed on all samples due to late addition). All paired UC-MSC samples tested for the specific pathogen(s) detected in PMB were negative (37/37). Main Limitations: More data are needed regarding MSC susceptibility to most pathogens detected in PMB. Conclusions: In-process microbiological controls combined with PMB PCR screening provide a comprehensive assessment of UC-MSC exposure to infectious risk, vertical transmission risk appearing inherently low.

Published
2020
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14. Prenatal Diagnosis of Megacystitis and Hydronephrosis in an Equine Fetus: How Transabdominal Ultrasonography Can Help to Diagnose Fetal Abnormalities.

Author

Denys M, Thomas-Cancian A, Tortereau A, Josson-Schramme A, and Buff S

Subjects
Animals, Female, Fetus, Horses, Humans, Male, Pregnancy, Prenatal Diagnosis, Ultrasonography, Ultrasonography, Prenatal, Horse Diseases, Hydronephrosis veterinary
Abstract

Premature udder development constitutes an alarm signal in pregnant mares. The objective of this clinical case report is to highlight the importance of transabdominal ultrasound examination of the fetus in these cases and to report a unique case of prenatal diagnosis of obstructive uropathy based on the observation of severe fetal hydronephrosis and megacystitis in utero. A 4-year-old French chaser primiparous mare was referred for evaluation of premature udder development during the ninth month of pregnancy. The mare had clinical signs within normal limits, a developed and sensitive udder with secretions, and no vulvar discharge. Transrectal examination revealed the presence of an immobile fetus. Combined uteroplacental thickness was within normal limits. Transabdominal ultrasound revealed a single live fetus in posterior presentation with several abdominal abnormalities. Unilateral hydronephrosis and megacystitis lead to a hypothetical diagnosis of fetal multiple urinary tract malformation with outflow obstruction. Treatment was discontinued and the mare was monitored. Abortion occurred spontaneously a week later. Postmortem examination revealed a ruptured bladder of abnormally large dimensions and a severely distended left kidney without parenchyma (filled with free urine) and lack of permeability in the left ureter and urethra. Postmortem diagnosis was consistent with our prenatal ultrasonographic diagnosis. Even though described during human pregnancy with various etiologies and severity, prenatal diagnosis of fetal hydronephrosis and megacystitis has not been reported in equine veterinary medicine before. These malformations need to be characterized more precisely in the future. This case highlights the importance of transabdominal ultrasonography to detect equine fetal abnormalities., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Published
2020
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15. Universality of market superstatistics.

Author

Denys M, Gubiec T, Kutner R, Jagielski M, and Stanley HE

Abstract

We use a key concept of the continuous-time random walk formalism, i.e., continuous and fluctuating interevent times in which mutual dependence is taken into account, to model market fluctuation data when traders experience excessive (or superthreshold) losses or excessive (or superthreshold) profits. We analytically derive a class of "superstatistics" that accurately model empirical market activity data supplied by Bogachev, Ludescher, Tsallis, and Bunde that exhibit transition thresholds. We measure the interevent times between excessive losses and excessive profits and use the mean interevent discrete (or step) time as a control variable to derive a universal description of empirical data collapse. Our dominant superstatistic value is a power-law corrected by the lower incomplete gamma function, which asymptotically tends toward robustness but initially gives an exponential. We find that the scaling shape exponent that drives our superstatistics subordinates itself and a "superscaling" configuration emerges. Thanks to the Weibull copula function, our approach reproduces the empirically proven dependence between successive interevent times. We also use the approach to calculate a dynamic risk function and hence the dynamic VaR, which is significant in financial risk analysis. Our results indicate that there is a functional (but not literal) balance between excessive profits and excessive losses that can be described using the same body of superstatistics but different calibration values and driving parameters. We also extend our original approach to cover empirical seismic activity data (e.g., given by Corral), the interevent times of which range from minutes to years. Superpositioned superstatistics is another class of superstatistics that protects power-law behavior both for short- and long-time behaviors. These behaviors describe well the collapse of seismic activity data and capture so-called volatility clustering phenomena.

Published
2016
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