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Record W2951135371

Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO and Advanced Virgo

2016· review· en· W2951135371 on OpenAlexafffund
B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy, F. Acernese, C. Adams, T. Adams, P. Addesso, R. X. Adhikari, C. Affeldt, M. Agathos, O. D. Aguiar, P. Ajith, B. Allen, A. Allocca, D. Amariutei, S. B. Anderson, W. G. Anderson, K. Arai, M. C. Araya, C. C. Arceneaux, S. M. Aston, P. Astone, P. Aufmuth, C. Aulbert, S. Babak, P. T. Baker, G. Ballardin, S. W. Ballmer, J. C. Barayoga, D. Barker, F. Barone, B. Barr, L. Barsotti, M. Barsuglia, I. Bartos, R. Bassiri, J. C. Batch, B. Behnke, M. Bejger, A. S. Bell, C. Bell, G. Bergmann, A. Bertolini, J. Betzwieser, I. A. Bilenko, G. Billingsley, J. Birch, S. Biscans, M. Bitossi, M. A. Bizouard, J. K. Blackburn, D. G. Blair, O. Bock, T. P. Bodiya, C. Bogan, C. Bond, F. Bondu, R. Bonnand, R. Bork, V. Boschi, S. Bose, C. Bradaschia, P. R. Brady, V. B. Braginsky, M. Branchesi, J. E. Brau, T. Briant, A. Brillet, M. Brinkmann, V. Brisson, A. F. Brooks, D. Brown, T. Bulik, H. J. Bulten, A. Buonanno, D. Buskulic, C. Buy, R. L. Byer, L. Cadonati, G. Cagnoli, E. Calloni, J. B. Camp, K. C. Cannon, J. Cao, C. D. Capano, F. Carbognani, S. Caride, S. Caudill, M. Cavaglià, F. Cavalier, R. Cavalieri, G. Cella, C. Cepeda, E. Cesarini, T. Chalermsongsak, S. Chao, P. Charlton, E. Chassande‐Mottin, Yu‐Hung Chen, A. Chincarini, A. Chiummo, H. S. Cho, J. H. Chow, N. Christensen, Q. Chu, S. Chua, G. Ciani, F. Clara, J. A. Clark, F. Cleva, E. Coccia, A. Colla, M. Constancio, A. Conte, D. Cook, T. R. Corbitt, Neil J. Cornish, A. Corsi, C. A. Costa, M. W. Coughlin, S. T. Countryman, P. Couvares, D. M. Coward, M. J. Cowart, D. C. Coyne, K. Craig, J. D. E. Creighton, A. Cumming, L. Cunningham, E. Cuoco, S. L. Danilishin, K. Danzmann, V. Dattilo, H. Daveloza, M. Davier, G. S. Davies, E. J. Daw, R. De Rosa, G. Debreczeni, J. Degallaix, W. Del Pozzo, T. Denker, T. Dent, V. Dergachev, R. DeRosa, R. DeSalvo, S. Dhurandhar, L. Di Fiore, A. Di Lieto, I. Di Palma, A. Di Virgilio, M. C. Díaz, F. Donovan, K. L. Dooley, S. Doravari, M. Drago, R. W. P. Drever, J. C. Driggers, Zhihui Du, S. E. Dwyer, M. C. Edwards, A. Effler, P. Ehrens, S. S. Eikenberry, R. C. Essick, T. Etzel, M. Evans, T. M. Evans, M. Factourovich, V. Fafone, S. Fairhurst, Q. Fang, B. Farr, Will M. Farr, M. Favata, H. Fehrmann, I. Ferrante, F. Ferrini, F. Fidecaro, I. Fiori, R. P. Fisher, R. Flaminio, Sebastián Franco, S. Frasca, F. Frasconi, Z. Frei, A. Freise, R. Frey, T. T. Fricke, P. Fritschel, V. V. Frolov, P. Fulda, M. Fyffe, J. R. Gair, L. Gammaitoni, F. Garufi, N. Gehrels, G. Gemme, E. Genin, A. Gennai, L. Gergely, S. Ghosh, J. A. Giaime, K. D. Giardina, A. Giazotto, E. Goetz, G. González, Neil Gordon, M. L. Gorodetsky, S. E. Gossan, R. Gouaty, C. Graef, P. B. Graff, M. Granata, A. Grant, S. Gras, C. Gray, H. Grote, S. Grunewald, G. M. Guidi, E. K. Gustafson, R. Gustafson, G. Hammond, J. Hanks, C. Hanna, J. Hanson, K. Haris, J. Harms, I. W. Harry, M. T. Hartman, K. Haughian, A. Heidmann, M. C. Heintze, H. Heitmann, P. Hello, G. Hemming, M. Hendry, I. S. Heng, A. W. Heptonstall, M. Heurs, S. Hild, D. Hoak, K. A. Hodge, K. Holt, J. Hough, E. J. Howell, E. A. Huerta, B. Hughey, S. H. Huttner, T. Huynh–Dinh, D. R. Ingram, R. Inta, T. Isogai, B. R. Iyer, K. Izumi, H. Jang, P. Jaranowski, W. W. Johnson, R. W. L. Jones, R. J. G. Jonker, L. Ju, V. Kalogera, S. Kandhasamy, G. Kang, J. B. Kanner, M. Kasprzack, E. Katsavounidis, W. Katzman, K. Kawabe, F. Kawazoe, D. Keitel, D. B. Kelley, W. Kells, A. Khalaidovski, F. Y. Khalili, Е. А. Хазанов, C. Kim, K. Kim, Nakwoo Kim, Peter King, D. L. Kinzel, J. S. Kissel, S. Klimenko, K. Kokeyama, V. Kondrashov, W. Z. Korth, I. Kowalska, D. B. Kozak, V. Kringel, B. Krishnan, A. Królak, P. Kumar, M. Landry, B. Lantz, P. D. Lasky, A. Lazzarini, P. Leaci, Chang‐Hwan Lee, H. K. Lee, Hyung Mok Lee, J. R. Leong, N. Leroy, N. Letendre, B. M. Levine, T. G. F. Li, N. A. Lockerbie, J. Logue, A. L. Lombardi, M. Lorenzini, V. Loriette, M. Lormand, G. Losurdo, J. D. Lough, A. P. Lundgren, B. Machenschalk, M. MacInnis, D. M. Macleod, F. Magaña‐Sandoval, M. Mageswaran, E. Majorana, I. Maksimovic, V. Malvezzi, N. Man, Ilya Mandel, V. Mandic, M. Mantovani, F. Marchesoni, F. Marion, Szabolcs Márka, Z. Márka, A. S. Markosyan, E. Maros, F. Martelli, I. W. Martin, R. M. Martin, J. N. Marx, K. Mason, A. Masserot, F. Matichard, L. Matone, N. Mavalvala, G. Mazzolo, R. McCarthy, D. E. McClelland, S. C. McGuire, G. McIntyre, J. McIver, G. D. Meadors, J. Meidam, A. Melatos, G. Mendell, R. A. Mercer, S. Meshkov, C. Messenger, Y. Ma, H. Miao, L. Milano, J. Miller, Y. Minenkov, S. Mitra, O. Miyakawa, G. Mitselmakher, R. Mittleman, M. Mohan, S. R. P. Mohapatra, D. Moraru, G. Moreno, S. R. Morriss, K. Mossavi, B. Mours, C. M. Mow–Lowry, C. Mueller, G. Mueller, Suvodip Mukherjee, A. Mullavey, J. Münch, D. Murphy, P. G. Murray, A. Mytidis, L. Naticchioni, R. K. Nayak, V. Necula, G. Newton, T. T. Nguyen, A. Nitz, F. Nocera, D. Nolting, M. E. N. Normandin, L. K. Nuttall, E. Ochsner, E. Oelker, G. H. Ogin, J. J. Oh, S. H. Oh, F. Ohme, P. Oppermann, C. D. Ott, D. J. Ottaway, R. S. Ottens, F. Mezzani, H. Overmier, B. J. Owen, A. Pai, C. Palomba, C. Pankow, F. Paoletti, M. A. Papa, H. R. Paris, A. Pasqualetti, R. Passaquieti, D. Passuello, M. Pedraza, A. Perreca, M. Phelps, M. Pichot, F. Piergiovanni, V. Pierro, L. Pinard, I. M. Pinto, M. Pitkin, R. Poggiani, V. Predoi, T. Prestegard, L. R. Price, M. Prijatelj, S. Privitera, G. A. Prodi, L. Prokhorov, M. Punturo, P. Puppo, V. Quetschke, E. A. Quintero, R. Quitzow-James, F. J. Raab, D. S. Rabeling, H. Radkins, P. Raffai, S. Raja, M. Rakhmanov, P. Rapagnani, V. Raymond, V. Re, C. M. Reed, T. Regimbau, S. Reid, D. H. Reitze, K. Riles, N. A. Robertson, F. Robinet, A. Rocchi, L. Rolland, J. G. Rollins, J. D. Romano, R. Romano, J. H. Romie, D. Rosińska, S. Rowan, A. Rüdiger, P. Ruggi, K. Ryan, F. Salemi, L. Sammut, V. Sandberg, J. R. Sanders, B. Sassolas, B. S. Sathyaprakash, P. R. Saulson, R. L. Savage, R. Schilling, R. Schnabel, R. M. S. Schofield, D. Schuette, B. F. Schutz, J. Scott, S. M. Scott, D. Sellers, D. Sentenac, A. Sergeev, D. A. Shaddock, S. Shah, M. Shaltev, Z. Shao, B. Shapiro, P. Shawhan, D. H. Shoemaker, X. Siemens, D. Sigg, D. Simakov, A. Singer, L. P. Singer, A. M. Sintes, B. J. J. Slagmolen, J. R. Smith, R. J. E. Smith, E. J. Son, B. Sorazu, T. Souradeep, J. Steinlechner, S. Steinlechner, R. Stone, K. A. Strain, S. Strigin, R. Sturani, A. L. Stuver, T. Z. Summerscales, P. J. Sutton, B. L. Swinkels, M. Tacca, D. Talukder, D. B. Tanner, S. P. Tarabrin, R. Taylor, M. Thomas, P. Thomas, E. Thrane, V. Tiwari, K. V. Tokmakov, C. Tomlinson, M. Tonelli, C. V. Torres, C. I. Torrie, F. Travasso, G. Traylor, M. Tse, D. Ugolini, H. Vahlbruch, G. Vajente, Marc van der Sluys, S. Vass, M. Vasúth, R. Vaulin, A. Vecchio, G. Vedovato, J. Veitch, K. Venkateswara, F. Vetrano, A. Viceré, T. Vo, H. Vocca, C. Vorvick, W. D. Vousden, S. P. Vyatchanin, A. R. Wade, L. E. Wade, M. Wade, L. Wallace, M. Wang, X. Wang, R. L. Ward, M. Wąs, M. Weinert, A. J. Weinstein, R. Weiss, T. Welborn, L. Wen, T. Westphal, K. Wette, J. T. Whelan, D. J. White, B. F. Whiting, R. D. Williams, J. L. Willis, B. Willke, M. H. Wimmer, W. Winkler, C. C. Wipf, H. Wittel, G. Woan, J. Worden, J. Yablon, H. Yamamoto, C. C. Yancey, M. Yvert, A. Zadrożny, M. Zanolin, F. Zhang, T. Zhang, C. Zhao, X. J. Zhu, M. E. Zucker, J. Zweizig

Bibliographic record

VenueMax Planck Digital Library · 2016
Typereview
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersIstituto Nazionale di Fisica NucleareIndustry CanadaCentre National de la Recherche ScientifiqueNederlandse Organisatie voor Wetenschappelijk OnderzoekCouncil of Scientific and Industrial Research, IndiaScience and Technology Facilities CouncilNational Research FoundationScience and Engineering Research BoardInstitut des Origines de LyonScottish Universities Physics AllianceMinistero dello Sviluppo EconomicoNational Research Foundation of KoreaNational Science Foundation
KeywordsLIGOGravitational wavePhysicsSkyDetectorAstronomyNeutron starGravitational-wave astronomyBinary black holeAstrophysicsGravitational-wave observatoryBinary numberOptics
DOInot available

Abstract

fetched live from OpenAlex

We present a possible observing scenario for the Advanced LIGO and Advanced Virgo gravitational wave detectors over the next decade, with the intention of providing information to the astronomy community to facilitate planning for multi-messenger astronomy with gravitational waves. We determine the expected sensitivity of the network to transient gravitational-wave signals, and study the capability of the network to determine the sky location of the source. For concreteness, we focus primarily on gravitational-wave signals from the inspiral of binary neutron star (BNS) systems, as the source considered likely to be the most common for detection and also promising for multimessenger astronomy. We find that confident detections will likely require at least 2 detectors operating with BNS sensitive ranges of at least 100 Mpc, while ranges approaching 200 Mpc should give at least ~1 BNS detection per year even under pessimistic predictions of signal rates. The ability to localize the source of the detected signals depends on the geographical distribution of the detectors and their relative sensitivity, and can be as large as thousands of square degrees with only 2 sensitive detectors operating. Determining the sky position of a significant fraction of detected signals to areas of 5 sq deg to 20 sq deg will require at least 3 detectors of sensitivity within a factor of ~2 of each other and with a broad frequency bandwidth. Should one of the LIGO detectors be relocated in India as expected, many gravitational-wave signals will be localized to a few square degrees by gravitational-wave observations alone.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.005
Open science0.0020.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.299
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations347
Published2016
Admission routes2
Has abstractyes

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