pith. machine review for the scientific record. sign in

arxiv: 2507.08219 · v3 · submitted 2025-07-10 · 🌌 astro-ph.HE · gr-qc

Recognition: 1 theorem link

GW231123: a Binary Black Hole Merger with Total Mass 190-265 M_{odot}

The LIGO Scientific Collaboration , the Virgo Collaboration , the KAGRA Collaboration , A. G. Abac , I. Abouelfettouh , F. Acernese , K. Ackley , C. Adamcewicz
show 1766 more authors
S. Adhicary D. Adhikari N. Adhikari R. X. Adhikari V. K. Adkins S. Afroz A. Agapito D. Agarwal M. Agathos N. Aggarwal S. Aggarwal O. D. Aguiar I.-L. Ahrend L. Aiello A. Ain P. Ajith T. Akutsu S. Albanesi W. Ali S. Al-Kershi C. All\'en\'e A. Allocca S. Al-Shammari P. A. Altin S. Alvarez-Lopez W. Amar O. Amarasinghe A. Amato F. Amicucci C. Amra A. Ananyeva S. B. Anderson W. G. Anderson M. Andia M. Ando M. Andr\'es-Carcasona T. Andri\'c J. Anglin S. Ansoldi J. M. Antelis S. Antier M. Aoumi E. Z. Appavuravther S. Appert S. K. Apple K. Arai C. Araujo Alvarez A. Araya M. C. Araya M. Arca Sedda J. S. Areeda N. Aritomi F. Armato S. Armstrong N. Arnaud M. Arogeti S. M. Aronson K. G. Arun G. Ashton Y. Aso L. Asprea M. Assiduo S. Assis de Souza Melo S. M. Aston P. Astone F. Attadio F. Aubin K. AultONeal G. Avallone E. A. Avila S. Babak C. Badger S. Bae S. Bagnasco L. Baiotti R. Bajpai T. Baka A. M. Baker K. A. Baker T. Baker G. Baldi N. Baldicchi M. Ball G. Ballardin S. W. Ballmer S. Banagiri B. Banerjee D. Bankar T. M. Baptiste P. Baral M. Baratti J. C. Barayoga B. C. Barish D. Barker N. Barman P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta A. M. Bartoletti M. A. Barton I. Bartos A. Basalaev R. Bassiri A. Basti M. Bawaj P. Baxi J. C. Bayley A. C. Baylor P. A. Baynard II M. Bazzan V. M. Bedakihale F. Beirnaert M. Bejger D. Belardinelli A. S. Bell D. S. Bellie L. Bellizzi W. Benoit I. Bentara J. D. Bentley M. Ben Yaala S. Bera F. Bergamin B. K. Berger S. Bernuzzi M. Beroiz C. P. L. Berry D. Bersanetti T. Bertheas A. Bertolini J. Betzwieser D. Beveridge G. Bevilacqua N. Bevins R. Bhandare R. Bhatt D. Bhattacharjee S. Bhattacharyya S. Bhaumik S. Bhagwat V. Biancalana A. Bianchi I. A. Bilenko G. Billingsley A. Binetti S. Bini C. Binu S. Biot O. Birnholtz S. Biscoveanu A. Bisht M. Bitossi M.-A. Bizouard S. Blaber J. K. Blackburn L. A. Blagg C. D. Blair D. G. Blair N. Bode N. Boettner G. Boileau M. Boldrini G. N. Bolingbroke A. Bolliand L. D. Bonavena R. Bondarescu F. Bondu E. Bonilla M. S. Bonilla A. Bonino R. Bonnand A. Borchers S. Borhanian V. Boschi S. Bose V. Bossilkov Y. Bothra A. Boudon L. Bourg M. Boyle A. Bozzi C. Bradaschia P. R. Brady A. Branch M. Branchesi I. Braun T. Briant A. Brillet M. Brinkmann P. Brockill E. Brockmueller A. F. Brooks B. C. Brown D. D. Brown M. L. Brozzetti S. Brunett G. Bruno R. Bruntz J. Bryant Y. Bu F. Bucci J. Buchanan O. Bulashenko T. Bulik H. J. Bulten A. Buonanno K. Burtnyk R. Buscicchio D. Buskulic C. Buy R. L. Byer G. S. Cabourn Davies R. Cabrita V. C\'aceres-Barbosa L. Cadonati G. Cagnoli C. Cahillane A. Calafat J. Calder\'on Bustillo T. A. Callister E. Calloni S. R. Callos M. Canepa G. Caneva Santoro K. C. Cannon H. Cao L. A. Capistran E. Capocasa E. Capote G. Capurri G. Carapella F. Carbognani M. Carlassara J. B. Carlin T. K. Carlson M. F. Carney M. Carpinelli G. Carrillo J. J. Carter G. Carullo A. Casallas-Lagos J. Casanueva Diaz C. Casentini S. Y. Castro-Lucas S. Caudill M. Cavagli\`a R. Cavalieri A. Ceja G. Cella P. Cerd\'a-Dur\'an E. Cesarini N. Chabbra W. Chaibi A. Chakraborty P. Chakraborty S. Chakraborty S. Chalathadka Subrahmanya J. C. L. Chan M. Chan K. Chandra K. Chang S. Chao P. Charlton E. Chassande-Mottin C. Chatterjee Debarati Chatterjee Deep Chatterjee M. Chaturvedi S. Chaty K. Chatziioannou A. Chen A. H.-Y. Chen D. Chen H. Chen H. Y. Chen S. Chen Yanbei Chen Yitian Chen H. P. Cheng P. Chessa H. T. Cheung S. Y. Cheung F. Chiadini G. Chiarini A. Chiba A. Chincarini M. L. Chiofalo A. Chiummo C. Chou S. Choudhary N. Christensen S. S. Y. Chua G. Ciani P. Ciecielag M. Cie\'slar M. Cifaldi B. Cirok F. Clara J. A. Clark T. A. Clarke P. Clearwater S. Clesse F. Cleva E. Coccia E. Codazzo P.-F. Cohadon S. Colace E. Colangeli M. Colleoni C. G. Collette J. Collins S. Colloms A. Colombo C. M. Compton G. Connolly L. Conti T. R. Corbitt I. Cordero-Carri\'on S. Corezzi N. J. Cornish I. Coronado A. Corsi R. Cottingham M. W. Coughlin A. Couineaux P. Couvares D. M. Coward R. Coyne A. Cozzumbo J. D. E. Creighton T. D. Creighton P. Cremonese S. Crook R. Crouch J. Csizmazia J. R. Cudell T. J. Cullen A. Cumming E. Cuoco M. Cusinato L. V. Da Concei\c{c}\~ao T. Dal Canton S. Dal Pra G. D\'alya B. D'Angelo S. Danilishin S. D'Antonio K. Danzmann K. E. Darroch L. P. Dartez R. Das A. Dasgupta V. Dattilo A. Daumas N. Davari I. Dave A. Davenport M. Davier T. F. Davies D. Davis L. Davis M. C. Davis P. Davis E. J. Daw M. Dax J. De Bolle M. Deenadayalan J. Degallaix M. De Laurentis F. De Lillo S. Della Torre W. Del Pozzo A. Demagny F. De Marco G. Demasi F. De Matteis N. Demos T. Dent A. Depasse N. DePergola R. De Pietri R. De Rosa C. De Rossi M. Desai R. DeSalvo A. DeSimone R. De Simone A. Dhani R. Diab M. C. D\'i M. Di Cesare G. Dideron T. Dietrich L. Di Fiore C. Di Fronzo M. Di Giovanni T. Di Girolamo D. Diksha J. Ding S. Di Pace I. Di Palma D. Di Piero F. Di Renzo Divyajyoti A. Dmitriev J. P. Docherty Z. Doctor N. Doerksen E. Dohmen A. Doke A. Domiciano De Souza L. D'Onofrio F. Donovan K. L. Dooley T. Dooney S. Doravari O. Dorosh W. J. D. Doyle M. Drago J. C. Driggers L. Dunn U. Dupletsa P.-A. Duverne D. D'Urso P. Dutta Roy H. Duval S. E. Dwyer C. Eassa M. Ebersold T. Eckhardt G. Eddolls A. Effler J. Eichholz H. Einsle M. Eisenmann M. Emma K. Endo R. Enficiaud L. Errico R. Espinosa M. Esposito R. C. Essick H. Estell\'es T. Etzel M. Evans T. Evstafyeva B. E. Ewing J. M. Ezquiaga F. Fabrizi V. Fafone S. Fairhurst A. M. Farah B. Farr W. M. Farr G. Favaro M. Favata M. Fays M. Fazio J. Feicht M. M. Fejer R. Felicetti E. Fenyvesi J. Fernandes T. Fernandes D. Fernando S. Ferraiuolo T. A. Ferreira F. Fidecaro P. Figura A. Fiori I. Fiori R. P. Fisher R. Fittipaldi V. Fiumara R. Flaminio S. M. Fleischer L. S. Fleming E. Floden H. Fong J. A. Font F. Fontinele-Nunes C. Foo B. Fornal K. Franceschetti N. Franchini F. Frappez S. Frasca F. Frasconi J. P. Freed Z. Frei A. Freise O. Freitas R. Frey W. Frischhertz P. Fritschel V. V. Frolov G. G. Fronz\'e M. Fuentes-Garcia S. Fujii T. Fujimori P. Fulda M. Fyffe B. Gadre J. R. Gair S. Galaudage V. Galdi R. Gamba A. Gamboa S. Gamoji D. Ganapathy A. Ganguly B. Garaventa J. Garc\'ia-Bellido C. Garc\'ia-Quir\'os J. W. Gardner K. A. Gardner S. Garg J. Gargiulo X. Garrido A. Garron F. Garufi P. A. Garver C. Gasbarra B. Gateley F. Gautier V. Gayathri T. Gayer G. Gemme A. Gennai V. Gennari J. George R. George O. Gerberding L. Gergely Sayantan Ghosh Shaon Ghosh Shrobana Ghosh Suprovo Ghosh Tathagata Ghosh J. A. Giaime K. D. Giardina D. R. Gibson C. Gier S. Gkaitatzis J. Glanzer F. Glotin J. Godfrey R. V. Godley P. Godwin A. S. Goettel E. Goetz J. Golomb S. Gomez Lopez B. Goncharov G. Gonz\'alez P. Goodarzi S. Goode M. Gosselin R. Gouaty D. W. Gould K. Govorkova A. Grado V. Graham A. E. Granados M. Granata V. Granata S. Gras P. Grassia J. Graves C. Gray R. Gray G. Greco A. C. Green L. Green S. M. Green S. R. Green C. Greenberg A. M. Gretarsson H. K. Griffin D. Griffith H. L. Griggs G. Grignani C. Grimaud H. Grote S. Grunewald D. Guerra D. Guetta G. M. Guidi A. R. Guimaraes H. K. Gulati F. Gulminelli H. Guo W. Guo Y. Guo Anuradha Gupta I. Gupta N. C. Gupta S. K. Gupta V. Gupta N. Gupte J. Gurs N. Gutierrez N. Guttman F. Guzman D. Haba M. Haberland S. Haino E. D. Hall E. Z. Hamilton G. Hammond M. Haney J. Hanks C. Hanna M. D. Hannam A. G. Hanselman H. Hansen J. Hanson S. Hanumasagar R. Harada A. R. Hardison S. Harikumar K. Haris I. Harley-Trochimczyk T. Harmark J. Harms G. M. Harry I. W. Harry J. Hart B. Haskell C. J. Haster K. Haughian H. Hayakawa K. Hayama M. C. Heintze J. Heinze J. Heinzel H. Heitmann F. Hellman A. F. Helmling-Cornell G. Hemming O. Henderson-Sapir M. Hendry I. S. Heng M. H. Hennig C. Henshaw M. Heurs A. L. Hewitt J. Heynen J. Heyns S. Higginbotham S. Hild S. Hill Y. Himemoto N. Hirata C. Hirose D. Hofman B. E. Hogan N. A. Holland I. J. Hollows D. E. Holz L. Honet D. J. Horton-Bailey J. Hough S. Hourihane N. T. Howard E. J. Howell C. G. Hoy C. A. Hrishikesh P. Hsi H.-F. Hsieh H.-Y. Hsieh C. Hsiung S.-H. Hsu W.-F. Hsu Q. Hu H. Y. Huang Y. Huang Y. T. Huang A. D. Huddart B. Hughey V. Hui S. Husa R. Huxford L. Iampieri G. A. Iandolo M. Ianni G. Iannone J. Iascau K. Ide R. Iden A. Ierardi S. Ikeda H. Imafuku Y. Inoue G. Iorio P. Iosif M. H. Iqbal J. Irwin R. Ishikawa M. Isi K. S. Isleif Y. Itoh M. Iwaya B. R. Iyer C. Jacquet P.-E. Jacquet T. Jacquot S. J. Jadhav S. P. Jadhav M. Jain T. Jain A. L. James K. Jani N. N. Janthalur S. Jaraba P. Jaranowski R. Jaume W. Javed A. Jennings M. Jensen W. Jia J. Jiang H.-B. Jin G. R. Johns N. A. Johnson N. K. Johnson-McDaniel M. C. Johnston R. Johnston N. Johny D. H. Jones D. I. Jones R. Jones H. E. Jose P. Joshi S. K. Joshi G. Joubert J. Ju L. Ju K. Jung J. Junker V. Juste H. B. Kabagoz T. Kajita I. Kaku V. Kalogera M. Kalomenopoulos M. Kamiizumi N. Kanda S. Kandhasamy G. Kang N. C. Kannachel J. B. Kanner S. A. KantiMahanty S. J. Kapadia D. P. Kapasi M. Karthikeyan M. Kasprzack H. Kato T. Kato E. Katsavounidis W. Katzman R. Kaushik K. Kawabe R. Kawamoto D. Keitel L. J. Kemperman J. Kennington F. A. Kerkow R. Kesharwani J. S. Key R. Khadela S. Khadka S. S. Khadkikar F. Y. Khalili F. Khan T. Khanam M. Khursheed N. M. Khusid W. Kiendrebeogo N. Kijbunchoo C. Kim J. C. Kim K. Kim M. H. Kim S. Kim Y.-M. Kim C. Kimball K. Kimes M. Kinnear J. S. Kissel S. Klimenko A. M. Knee E. J. Knox N. Knust K. Kobayashi S. M. Koehlenbeck G. Koekoek K. Kohri K. Kokeyama S. Koley P. Kolitsidou A. E. Koloniari K. Komori A. K. H. Kong A. Kontos L. M. Koponen M. Korobko X. Kou A. Koushik N. Kouvatsos M. Kovalam T. Koyama D. B. Kozak S. L. Kranzhoff V. Kringel N. V. Krishnendu S. Kroker A. Kr\'olak K. Kruska J. Kubisz G. Kuehn S. Kulkarni A. Kulur Ramamohan Achal Kumar Anil Kumar Praveen Kumar Prayush Kumar Rahul Kumar Rakesh Kumar J. Kume K. Kuns N. Kuntimaddi S. Kuroyanagi S. Kuwahara K. Kwak K. Kwan S. Kwon G. Lacaille D. Laghi A. H. Laity E. Lalande M. Lalleman P. C. Lalremruati M. Landry B. B. Lane R. N. Lang J. Lange R. Langgin B. Lantz I. La Rosa J. Larsen A. Lartaux-Vollard P. D. Lasky J. Lawrence M. Laxen C. Lazarte A. Lazzarini C. Lazzaro P. Leaci L. Leali Y. K. Lecoeuche H. M. Lee H. W. Lee J. Lee K. Lee R.-K. Lee R. Lee Sungho Lee Sunjae Lee Y. Lee I. N. Legred J. Lehmann L. Lehner M. Le Jean A. Lema\^itre M. Lenti M. Leonardi M. Lequime N. Leroy M. Lesovsky N. Letendre M. Lethuillier Y. Levin K. Leyde A. K. Y. Li K. L. Li X. Li Y. Li Z. Li A. Lihos E. T. Lin F. Lin L. C.-C. Lin Y.-C. Lin C. Lindsay S. D. Linker A. Liu G. C. Liu Jian Liu F. Llamas Villarreal J. Llobera-Querol R. K. L. Lo J.-P. Locquet S. C. G. Loggins M. R. Loizou L. T. London A. Longo D. Lopez M. Lopez Portilla M. Lorenzini A. Lorenzo-Medina V. Loriette M. Lormand G. Losurdo E. Lotti T. P. Lott IV J. D. Lough H. A. Loughlin C. O. Lousto N. Low N. Lu L. Lucchesi H. L\"uck D. Lumaca A. P. Lundgren A. W. Lussier R. Macas M. MacInnis D. M. Macleod I. A. O. MacMillan A. Macquet K. Maeda S. Maenaut S. S. Magare R. M. Magee E. Maggio R. Maggiore M. Magnozzi M. Mahesh M. Maini S. Majhi E. Majorana C. N. Makarem D. Malakar J. A. Malaquias-Reis U. Mali S. Maliakal A. Malik L. Mallick A.-K. Malz N. Man M. Mancarella V. Mandic V. Mangano B. Mannix G. L. Mansell M. Manske M. Mantovani M. Mapelli C. Marinelli F. Marion A. S. Markosyan A. Markowitz E. Maros S. Marsat F. Martelli I. W. Martin R. M. Martin B. B. Martinez D. A. Martinez M. Martinez V. Martinez A. Martini J. C. Martins D. V. Martynov E. J. Marx L. Massaro A. Masserot M. Masso-Reid S. Mastrogiovanni T. Matcovich M. Matiushechkina L. Maurin N. Mavalvala N. Maxwell G. McCarrol R. McCarthy D. E. McClelland S. McCormick L. McCuller S. McEachin C. McElhenny G. I. McGhee J. McGinn K. B. M. McGowan J. McIver A. McLeod I. McMahon T. McRae R. McTeague D. Meacher B. N. Meagher R. Mechum Q. Meijer A. Melatos C. S. Menoni F. Mera R. A. Mercer L. Mereni K. Merfeld E. L. Merilh J. R. M\'erou J. D. Merritt M. Merzougui C. Messick B. Mestichelli M. Meyer-Conde F. Meylahn A. Mhaske A. Miani H. Miao C. Michel Y. Michimura H. Middleton D. P. Mihaylov S. J. Miller M. Millhouse E. Milotti V. Milotti Y. Minenkov E. M. Minihan Ll. M. Mir L. Mirasola M. Miravet-Ten\'es C.-A. Miritescu A. Mishra C. Mishra T. Mishra A. L. Mitchell J. G. Mitchell S. Mitra V. P. Mitrofanov K. Mitsuhashi R. Mittleman O. Miyakawa S. Miyoki A. Miyoko G. Mo L. Mobilia S. R. P. Mohapatra S. R. Mohite M. Molina-Ruiz M. Mondin M. Montani C. J. Moore D. Moraru A. More S. More C. Moreno E. A. Moreno G. Moreno A. Moreso Serra S. Morisaki Y. Moriwaki G. Morras A. Moscatello M. Mould B. Mours C. M. Mow-Lowry L. Muccillo F. Muciaccia D. Mukherjee Samanwaya Mukherjee Soma Mukherjee Subroto Mukherjee Suvodip Mukherjee N. Mukund A. Mullavey H. Mullock J. Mundi C. L. Mungioli M. Murakoshi P. G. Murray D. Nabari S. L. Nadji A. Nagar N. Nagarajan K. Nakagaki K. Nakamura H. Nakano M. Nakano D. Nanadoumgar-Lacroze D. Nandi V. Napolano P. Narayan I. Nardecchia T. Narikawa H. Narola L. Naticchioni R. K. Nayak L. Negri A. Nela C. Nelle A. Nelson T. J. N. Nelson M. Nery A. Neunzert S. Ng L. Nguyen Quynh S. A. Nichols A. B. Nielsen Y. Nishino A. Nishizawa S. Nissanke W. Niu F. Nocera J. Noller M. Norman C. North J. Novak R. Nowicki J. F. Nu\ no Siles L. K. Nuttall K. Obayashi J. Oberling J. O'Dell E. Oelker M. Oertel G. Oganesyan T. O'Hanlon M. Ohashi F. Ohme R. Oliveri R. Omer B. O'Neal M. Onishi K. Oohara B. O'Reilly M. Orselli R. O'Shaughnessy S. O'Shea S. Oshino C. Osthelder I. Ota D. J. Ottaway A. Ouzriat H. Overmier B. J. Owen R. Ozaki A. E. Pace R. Pagano M. A. Page A. Pai L. Paiella A. Pal S. Pal M. A. Palaia M. P\'alfi P. P. Palma C. Palomba P. Palud H. Pan J. Pan K. C. Pan P. K. Panda Shiksha Pandey Swadha Pandey P. T. H. Pang F. Pannarale K. A. Pannone B. C. Pant F. H. Panther M. Panzeri F. Paoletti A. Paolone A. Papadopoulos E. E. Papalexakis L. Papalini G. Papigkiotis A. Paquis A. Parisi B.-J. Park J. Park W. Parker G. Pascale D. Pascucci A. Pasqualetti R. Passaquieti L. Passenger D. Passuello O. Patane A. V. Patel D. Pathak A. Patra B. Patricelli B. G. Patterson K. Paul S. Paul E. Payne T. Pearce M. Pedraza A. Pele F. E. Pe\ na Arellano X. Peng Y. Peng S. Penn M. D. Penuliar A. Perego Z. Pereira C. P\'erigois G. Perna A. Perreca J. Perret S. Perri\`es J. W. Perry D. Pesios S. Peters S. Petracca C. Petrillo H. P. Pfeiffer H. Pham K. A. Pham K. S. Phukon H. Phurailatpam M. Piarulli L. Piccari O. J. Piccinni M. Pichot M. Piendibene F. Piergiovanni L. Pierini G. Pierra V. Pierro M. Pietrzak M. Pillas F. Pilo L. Pinard I. M. Pinto M. Pinto B. J. Piotrzkowski M. Pirello M. D. Pitkin A. Placidi E. Placidi M. L. Planas W. Plastino C. Plunkett R. Poggiani E. Polini J. Pomper L. Pompili J. Poon E. Porcelli E. K. Porter C. Posnansky R. Poulton J. Powell G. S. Prabhu M. Pracchia B. K. Pradhan T. Pradier A. K. Prajapati K. Prasai R. Prasanna P. Prasia G. Pratten G. Principe G. A. Prodi P. Prosperi P. Prosposito A. C. Providence A. Puecher J. Pullin P. Puppo M. P\"urrer H. Qi J. Qin G. Qu\'em\'ener V. Quetschke P. J. Quinonez N. Qutob R. Rading I. Rainho S. Raja C. Rajan B. Rajbhandari K. E. Ramirez F. A. Ramis Vidal M. Ramos Arevalo A. Ramos-Buades S. Ranjan K. Ransom P. Rapagnani B. Ratto A. Ravichandran A. Ray V. Raymond M. Razzano J. Read T. Regimbau S. Reid C. Reissel D. H. Reitze A. I. Renzini B. Revenu A. Revilla Pe\ na R. Reyes L. Ricca F. Ricci M. Ricci A. Ricciardone J. Rice J. W. Richardson M. L. Richardson A. Rijal K. Riles H. K. Riley S. Rinaldi J. Rittmeyer C. Robertson F. Robinet M. Robinson A. Rocchi L. Rolland J. G. Rollins A. E. Romano R. Romano A. Romero I. M. Romero-Shaw J. H. Romie S. Ronchini T. J. Roocke L. Rosa T. J. Rosauer C. A. Rose D. Rosi\'nska M. P. Ross M. Rossello-Sastre S. Rowan S. K. Roy S. Roy D. Rozza P. Ruggi N. Ruhama E. Ruiz Morales K. Ruiz-Rocha S. Sachdev T. Sadecki P. Saffarieh S. Safi-Harb M. R. Sah S. Saha T. Sainrat S. Sajith Menon K. Sakai Y. Sakai M. Sakellariadou S. Sakon O. S. Salafia F. Salces-Carcoba L. Salconi M. Saleem F. Salemi M. Sall\'e S. U. Salunkhe S. Salvador A. Salvarese A. Samajdar A. Sanchez E. J. Sanchez L. E. Sanchez N. Sanchis-Gual J. R. Sanders E. M. S\"anger F. Santoliquido F. Sarandrea T. R. Saravanan N. Sarin P. Sarkar A. Sasli P. Sassi B. Sassolas B. S. Sathyaprakash R. Sato S. Sato Yukino Sato Yu Sato O. Sauter R. L. Savage T. Sawada H. L. Sawant S. Sayah V. Scacco D. Schaetzl M. Scheel A. Schiebelbein M. G. Schiworski P. Schmidt S. Schmidt R. Schnabel M. Schneewind R. M. S. Schofield K. Schouteden B. W. Schulte B. F. Schutz E. Schwartz M. Scialpi J. Scott S. M. Scott R. M. Sedas T. C. Seetharamu M. Seglar-Arroyo Y. Sekiguchi D. Sellers N. Sembo A. S. Sengupta E. G. Seo J. W. Seo V. Sequino M. Serra A. Sevrin T. Shaffer U. S. Shah M. A. Shaikh L. Shao A. K. Sharma Preeti Sharma Prianka Sharma Ritwik Sharma S. Sharma Chaudhary P. Shawhan N. S. Shcheblanov E. Sheridan Z.-H. Shi M. Shikauchi R. Shimomura H. Shinkai S. Shirke D. H. Shoemaker D. M. Shoemaker R. W. Short S. ShyamSundar A. Sider H. Siegel D. Sigg L. Silenzi L. Silvestri M. Simmonds L. P. Singer Amitesh Singh Anika Singh D. Singh N. Singh S. Singh A. M. Sintes V. Sipala V. Skliris B. J. J. Slagmolen D. A. Slater T. J. Slaven-Blair J. Smetana J. R. Smith L. Smith R. J. E. Smith W. J. Smith S. Soares de Albuquerque Filho M. Soares-Santos K. Somiya I. Song S. Soni V. Sordini F. Sorrentino H. Sotani F. Spada V. Spagnuolo A. P. Spencer P. Spinicelli A. K. Srivastava F. Stachurski C. J. Stark D. A. Steer N. Steinle J. Steinlechner S. Steinlechner N. Stergioulas P. Stevens S. P. Stevenson M. StPierre M. D. Strong A. Strunk A. L. Stuver M. Suchenek S. Sudhagar Y. Sudo N. Sueltmann L. Suleiman K. D. Sullivan J. Sun L. Sun S. Sunil J. Suresh B. J. Sutton P. J. Sutton K. Suzuki M. Suzuki S. Swain B. L. Swinkels A. Syx M. J. Szczepa\'nczyk P. Szewczyk M. Tacca H. Tagoshi K. Takada H. Takahashi R. Takahashi A. Takamori S. Takano H. Takeda K. Takeshita I. Takimoto Schmiegelow M. Takou-Ayaoh C. Talbot M. Tamaki N. Tamanini D. Tanabe K. Tanaka S. J. Tanaka S. Tanioka D. B. Tanner W. Tanner L. Tao R. D. Tapia E. N. Tapia San Mart\'in C. Taranto A. Taruya J. D. Tasson J. G. Tau D. Tellez R. Tenorio H. Themann A. Theodoropoulos M. P. Thirugnanasambandam L. M. Thomas M. Thomas P. Thomas J. E. Thompson S. R. Thondapu K. A. Thorne E. Thrane J. Tissino A. Tiwari Pawan Tiwari Praveer Tiwari S. Tiwari V. Tiwari M. R. Todd M. Toffano A. M. Toivonen K. Toland A. E. Tolley T. Tomaru V. Tommasini T. Tomura H. Tong C. Tong-Yu A. Torres-Forn\'e C. I. Torrie I. Tosta e Melo E. Tournefier M. Trad Nery K. Tran A. Trapananti R. Travaglini F. Travasso G. Traylor M. Trevor M. C. Tringali A. Tripathee G. Troian A. Trovato L. Trozzo R. J. Trudeau T. Tsang S. Tsuchida L. Tsukada K. Turbang M. Turconi C. Turski H. Ubach N. Uchikata T. Uchiyama R. P. Udall T. Uehara K. Ueno V. Undheim L. E. Uronen T. Ushiba M. Vacatello H. Vahlbruch N. Vaidya G. Vajente A. Vajpeyi J. Valencia M. Valentini S. A. Vallejo-Pe\ na S. Vallero V. Valsan M. van Dael E. Van den Bossche J. F. J. van den Brand C. Van Den Broeck M. van der Sluys A. Van de Walle J. van Dongen K. Vandra M. VanDyke H. van Haevermaet J. V. van Heijningen P. Van Hove J. Vanier M. VanKeuren J. Vanosky N. van Remortel M. Vardaro A. F. Vargas V. Varma A. N. Vazquez A. Vecchio G. Vedovato J. Veitch P. J. Veitch S. Venikoudis R. C. Venterea P. Verdier M. Vereecken D. Verkindt B. Verma Y. Verma S. M. Vermeulen F. Vetrano A. Veutro A. Vicer\'e S. Vidyant A. D. Viets A. Vijaykumar A. Vilkha N. Villanueva Espinosa V. Villa-Ortega E. T. Vincent J.-Y. Vinet S. Viret S. Vitale H. Vocca D. Voigt E. R. G. von Reis J. S. A. von Wrangel W. E. Vossius L. Vujeva S. P. Vyatchanin J. Wack L. E. Wade M. Wade K. J. Wagner L. Wallace E. J. Wang H. Wang J. Z. Wang W. H. Wang Y. F. Wang G. Waratkar J. Warner M. Was T. Washimi N. Y. Washington D. Watarai B. Weaver S. A. Webster N. L. Weickhardt M. Weinert A. J. Weinstein R. Weiss L. Wen K. Wette J. T. Whelan B. F. Whiting C. Whittle E. G. Wickens D. Wilken A. T. Wilkin B. M. Williams D. Williams M. J. Williams N. S. Williams J. L. Willis B. Willke M. Wils L. Wilson C. W. Winborn J. Winterflood C. C. Wipf G. Woan J. Woehler N. E. Wolfe H. T. Wong H. W. Y. Wong I. C. F. Wong K. Wong T. Wouters J. L. Wright B. Wu C. Wu D. S. Wu H. Wu K. Wu Q. Wu Y. Wu Z. Wu E. Wuchner D. M. Wysocki V. A. Xu Y. Xu N. Yadav H. Yamamoto K. Yamamoto T. S. Yamamoto T. Yamamoto R. Yamazaki T. Yan K. Z. Yang Y. Yang Z. Yarbrough J. Yebana S.-W. Yeh A. B. Yelikar X. Yin J. Yokoyama T. Yokozawa S. Yuan H. Yuzurihara M. Zanolin M. Zeeshan T. Zelenova J.-P. Zendri M. Zeoli M. Zerrad M. Zevin L. Zhang N. Zhang R. Zhang T. Zhang C. Zhao Yue Zhao Yuhang Zhao Z.-C. Zhao Y. Zheng H. Zhong H. Zhou H. O. Zhu Z.-H. Zhu A. B. Zimmerman L. Zimmermann M. E. Zucker J. Zweizig
Authors on Pith no claims yet

Pith reviewed 2026-05-16 02:59 UTC · model grok-4.3

classification 🌌 astro-ph.HE gr-qc
keywords gravitational wavesbinary black hole mergerpair-instability mass gapintermediate-mass black holeshierarchical mergersGW231123LIGO
0
0 comments X

The pith

GW231123 shows the merger of two black holes with total mass 190-265 solar masses formed outside standard stellar collapse.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper reports the gravitational-wave detection GW231123 from the merger of black holes with masses around 137 and 101 solar masses. These values place the primary component inside or above the pair-instability mass gap, a range where black holes are expected to be scarce because pair-instability supernovae should prevent their formation. The high measured spins and the overall system mass support the interpretation that the black holes grew through earlier mergers rather than direct collapse from single stars. This implies that intermediate-mass black holes near 200 solar masses can assemble via repeated gravitational-wave-driven mergers in dense environments.

Core claim

GW231123 is a gravitational-wave signal from the coalescence of two black holes with component masses 137^{+23}_{-18} and 101^{+22}_{-50} solar masses, high spins of 0.9 and 0.80 respectively, at redshift 0.40, producing a remnant black hole near 200 solar masses. The primary lies within or above the pair-instability gap while the secondary spans it, indicating formation channels beyond standard stellar collapse and supporting the growth of intermediate-mass black holes through gravitational-wave driven mergers.

What carries the argument

Parameter estimation of the binary black hole system from the gravitational-wave signal using multiple waveform models to extract component masses, spins, and distance despite model-dependent systematic differences.

If this is right

  • Black holes can populate the pair-instability mass gap through hierarchical mergers.
  • Intermediate-mass black holes near 200 solar masses form via successive gravitational-wave driven mergers.
  • Dense stellar environments such as star clusters are required to produce the necessary merger rates.
  • The mass gap is not an absolute barrier but can be bridged by repeated coalescence events.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Future high-mass events will help measure the fraction of black holes that grow through mergers rather than single-star evolution.
  • Systematic differences between waveform models in this regime point to the need for targeted improvements in modeling high-mass, high-spin binaries.
  • Such detections constrain the upper end of the black-hole mass function and the efficiency of merger channels in the local universe.

Load-bearing premise

The waveform models used for parameter estimation remain accurate for black holes with masses and spins in this extreme range.

What would settle it

A reanalysis with improved waveform models that places both component masses firmly below the pair-instability gap of 60-130 solar masses would undermine the claim of non-stellar formation channels.

read the original abstract

On 2023 November 23 the two LIGO observatories both detected GW231123, a gravitational-wave signal consistent with the merger of two black holes with masses $137^{+23}_{-18}\, M_\odot$ and $101^{+22}_{-50}\, M_\odot$ (90\% credible intervals), at luminosity distance 0.7-4.1 Gpc and redshift of $0.40^{+0.27}_{-0.25}$, and a network signal-to-noise ratio of $\sim$20.7. Both black holes exhibit high spins, $0.9^{+0.10}_{-0.19}$ and $0.80^{+0.20}_{-0.52}$ respectively. A massive black hole remnant is supported by an independent ringdown analysis. Some properties of GW231123 are subject to large systematic uncertainties, as indicated by differences in inferred parameters between signal models. The primary black hole lies within or above the theorized mass gap where black holes between 60-130 $M_\odot$ should be rare due to pair instability mechanisms, while the secondary spans the gap. The observation of GW231123 therefore suggests the formation of black holes from channels beyond standard stellar collapse, and that intermediate-mass black holes of mass $\sim$200 $M_\odot$ form through gravitational-wave driven mergers.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript reports the detection of GW231123, a binary black hole merger observed by LIGO with network SNR ~20.7. Component masses are inferred as 137^{+23}_{-18} M_⊙ and 101^{+22}_{-50} M_⊙ (90% credible intervals), with high spins ~0.9 and ~0.8, luminosity distance 0.7-4.1 Gpc, and redshift 0.40^{+0.27}_{-0.25}. An independent ringdown analysis supports a massive remnant. The primary mass lies within or above the pair-instability gap (60-130 M_⊙), while the secondary spans it; the authors conclude this suggests black hole formation channels beyond standard stellar collapse and the existence of ~200 M_⊙ intermediate-mass black holes formed via gravitational-wave-driven mergers. Large systematic uncertainties from differences between signal models are noted.

Significance. If the mass and spin posteriors are robust, the event would constitute direct evidence for black holes in or above the pair-instability gap and support hierarchical merger channels for intermediate-mass black holes. The high network SNR and independent ringdown confirmation provide a solid foundation for the detection itself.

major comments (1)
  1. [Abstract] Abstract: The reported 90% credible interval for the primary mass (119–160 M_⊙) overlaps the upper edge of the pair-instability gap. The central claim that standard stellar collapse is disfavored requires the lower mass bound to lie robustly above ~130 M_⊙, yet the abstract explicitly flags large systematic differences between signal models without providing a quantitative bound on how these differences shift the mass posteriors in the 100–150 M_⊙, spin >0.8 regime. Because the signal is merger-ringdown dominated, extrapolation error in existing waveform models (calibrated primarily on lower-mass NR simulations) can plausibly move the primary-mass lower bound below the gap, directly affecting the formation-channel conclusion.

Simulated Author's Rebuttal

1 responses · 1 unresolved

We thank the referee for their careful and constructive review of our manuscript on GW231123. We agree that the abstract would benefit from a more explicit quantitative discussion of systematic uncertainties in the primary-mass bounds relative to the pair-instability gap. Our point-by-point response follows.

read point-by-point responses
  1. Referee: [Abstract] Abstract: The reported 90% credible interval for the primary mass (119–160 M_⊙) overlaps the upper edge of the pair-instability gap. The central claim that standard stellar collapse is disfavored requires the lower mass bound to lie robustly above ~130 M_⊙, yet the abstract explicitly flags large systematic differences between signal models without providing a quantitative bound on how these differences shift the mass posteriors in the 100–150 M_⊙, spin >0.8 regime. Because the signal is merger-ringdown dominated, extrapolation error in existing waveform models (calibrated primarily on lower-mass NR simulations) can plausibly move the primary-mass lower bound below the gap, directly affecting the formation-channel conclusion.

    Authors: We thank the referee for identifying this point. The manuscript already states that some properties are subject to large systematic uncertainties from differences between signal models. To address the request for quantification, we will revise the abstract to report the range of 90% lower credible bounds on the primary mass across the waveform models used (approximately 110–125 M_⊙). Even at the conservative end of this range the primary mass remains consistent with or above the upper edge of the gap, supporting the conclusion that standard stellar collapse is disfavored. We acknowledge that a complete assessment of extrapolation errors in the merger-ringdown regime would require additional high-mass, high-spin numerical-relativity simulations that are not presently available; the independent ringdown analysis and high network SNR provide supporting evidence for a massive remnant, but we will add a sentence noting this limitation explicitly. revision: partial

standing simulated objections not resolved
  • Full quantification of extrapolation errors for existing waveform models in the 100–150 M_⊙, spin >0.8 regime would require new numerical-relativity simulations beyond the scope of the current work.

Circularity Check

0 steps flagged

No circularity: observational detection and parameter estimation from raw data

full rationale

The paper reports a gravitational-wave event detection and Bayesian parameter estimation performed on interferometer strain data using established, externally validated waveform models and analysis pipelines. The reported component masses, spins, and remnant properties are direct outputs of this data-driven inference; no equation or result is defined in terms of itself, no fitted parameter is relabeled as a prediction, and no load-bearing premise rests on a self-citation whose content is unverified or circular. The acknowledged model-to-model differences are treated as systematic uncertainty rather than part of any derivation chain. The central claim therefore remains an independent observational statement.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The claim rests on standard assumptions of gravitational-wave data analysis and Bayesian inference applied to LIGO strain data; no new free parameters or invented entities are introduced beyond the waveform models already in the literature.

axioms (2)
  • domain assumption Waveform models calibrated on numerical relativity remain sufficiently accurate for parameter estimation at the reported masses and spins.
    Invoked when converting the observed signal into mass and spin posteriors.
  • domain assumption The noise model and detector calibration are correctly characterized.
    Required for the reported signal-to-noise ratio and credible intervals.

pith-pipeline@v0.9.0 · 15568 in / 1317 out tokens · 138971 ms · 2026-05-16T02:59:39.021743+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 20 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Constraints on the Primordial Black Hole Abundance using Pulsar Parameter Drifts

    astro-ph.CO 2026-04 unverdicted novelty 8.0

    The first search for scalar-induced gravitational waves via pulsar parameter drifts yields f_PBH < 10^{-10} (95% CL) for PBH masses 0.3 to 4e4 solar masses, strongly disfavoring a primordial black hole origin for LVK ...

  2. Population Properties of Binary Black Holes with Eccentricity

    astro-ph.HE 2026-02 conditional novelty 8.0

    First joint population inference on binary black hole eccentricity from GWTC-4 bounds the eccentric branching ratio below 5% at 90% confidence, with results consistent with quasi-circular models but highly model-dependent.

  3. Resonances as signatures of scalar clouds in eccentric extreme-mass-ratio inspirals

    gr-qc 2026-05 unverdicted novelty 7.0

    Eccentricity in EMRIs around scalar clouds produces relativistic resonances in scalar fluxes near the last stable orbit, leading to observable dephasing in gravitational waveforms.

  4. Physics informed operator learning of parameter dependent spectra

    gr-qc 2026-04 unverdicted novelty 7.0

    DeepOPiraKAN learns parameter-to-spectrum mappings via operator learning and achieves relative errors of O(10^{-6}) to O(10^{-4}) for Kerr black hole quasinormal modes up to n=7 when benchmarked against Leaver's method.

  5. Highly eccentric non-spinning binary black hole mergers: quadrupolar post-merger waveforms

    gr-qc 2026-04 unverdicted novelty 7.0

    Polynomial models for the (2,2) post-merger waveform amplitudes of eccentric non-spinning binary black holes are constructed from numerical-relativity data as functions of symmetric mass ratio and two merger-time dyna...

  6. High-Spin BBH Subpopulation from AGN Accretion

    astro-ph.HE 2026-05 unverdicted novelty 6.0

    Mixture model analysis of LIGO data identifies a ~10% high-spin subpopulation with a1 ≈ 0.9 matching AGN accretion predictions, disfavoring hierarchical mergers at a1 ≈ 0.7 for that group.

  7. All-order structure of static gravitational interactions and the seventh post-Newtonian potential

    hep-th 2026-04 unverdicted novelty 6.0

    A closed formula computes static post-Newtonian corrections at arbitrary odd orders in gravity, yielding the explicit seventh post-Newtonian potential that matches an independent diagrammatic method.

  8. Post-Newtonian inspiral waveform model for eccentric precessing binaries with higher-order modes and matter effects

    gr-qc 2026-04 unverdicted novelty 6.0

    pyEFPEHM extends prior PN models to include higher-order quasi-circular phasing, generalized precession solutions, and eccentric corrections up to 1PN in selected multipoles for eccentric precessing binaries with matt...

  9. GW231123: False Massive Graviton Signatures from Unmodeled Point-Mass Lensing

    gr-qc 2026-04 unverdicted novelty 6.0

    Unmodeled point-mass lensing produces a spurious nonzero graviton mass posterior in GW231123 that vanishes when lensing is included in the analysis.

  10. Assessing the imprint of eccentricity in GW signatures using two independent waveform models

    astro-ph.HE 2026-05 conditional novelty 5.0

    Dual-model analysis of 162 GW sources disfavors eccentricity for most events but finds potential evidence in GW200129, GW231001, and GW231123.

  11. How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4

    astro-ph.HE 2026-05 unverdicted novelty 5.0

    No evidence for core-collapse IMBHs in GWTC-4; heavy BHs from hierarchical mergers, with low-spin mass distribution truncating at ~65 solar masses and PIMG upper edge estimated at 150 solar masses.

  12. How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4

    astro-ph.HE 2026-05 unverdicted novelty 5.0

    No evidence for core-collapse formed low-spin IMBHs in GWTC-4, with 90% upper limit on merger rate of 0.077 Gpc^{-3} yr^{-1}, low-spin BH mass truncation at 65 solar masses consistent with pair-instability gap lower e...

  13. Ringdown Analysis of GW250114 with Orthonormal Modes

    gr-qc 2026-05 unverdicted novelty 5.0

    Orthonormal QNM analysis of GW250114 raises the significance of the first overtone of the ℓ=m=2 mode from 82.5% to 99.9% and detects no significant deviation from Kerr predictions.

  14. Emergent structure in the binary black hole mass distribution and implications for population-based cosmology

    gr-qc 2026-04 unverdicted novelty 5.0

    B-spline agnostic reconstruction of binary black hole masses from GWTC-4.0 reveals multiple features and a logarithmic hierarchy that impacts Hubble constant measurements, with a low-mass subpopulation isolation metho...

  15. GW250114: testing Hawking's area law and the Kerr nature of black holes

    gr-qc 2025-09 accept novelty 5.0

    GW250114 data confirm the remnant black hole ringdown frequencies lie within 30% of Kerr predictions and that the final horizon area is larger than the sum of the progenitors' areas to high credibility.

  16. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data

    astro-ph.HE 2026-04 unverdicted novelty 4.0

    Parametric models incorporating waveform phase and amplitude uncertainties mitigate systematic errors in gravitational wave parameter estimation, producing consistent results across models and raw/deglitched data for ...

  17. Gravitational-wave astronomy requires population-informed parameter estimation

    gr-qc 2026-04 unverdicted novelty 4.0

    Population-informed hierarchical parameter estimation is required for unbiased astrophysical interpretation of gravitational-wave events rather than using standard individual posteriors with reference priors.

  18. Basilic: An end-to-end pipeline for Bayesian burst inference and model classification in gravitational-wave data

    gr-qc 2026-04 unverdicted novelty 4.0

    Basilic is an end-to-end Bayesian pipeline for gravitational-wave burst inference and model classification, with a case study showing signal degeneracies between binary black hole mergers and cosmic strings.

  19. GW190711_030756 and GW200114_020818: astrophysical interpretation of two asymmetric binary black hole mergers in the IAS catalog

    astro-ph.HE 2026-04 unverdicted novelty 4.0

    Two asymmetric BBH mergers are characterized with mass ratios 0.35 and ≤0.20; one shows high spins, negative χ_eff, and strong precession, suggesting an emerging population of massive rapidly spinning systems.

  20. Signatures of a subpopulation of hierarchical mergers in the GWTC-4 gravitational-wave dataset

    gr-qc 2026-01

Reference graph

Works this paper leans on

299 extracted references · 299 canonical work pages · cited by 19 Pith papers · 85 internal anchors

  1. [1]

    Coherent method for detection of gravitational wave bursts

    Klimenko, S. and Yakushin, I. and Mercer, A. and Mitselmakher, Guenakh. Coherent method for detection of gravitational wave bursts. Class. Quant. Grav. 2008. doi:10.1088/0264-9381/25/11/114029. arXiv:0802.3232

  2. [2]

    Abac, A. G. and others. GWTC-4.0: Methods for Identifying and Characterizing Gravitational-wave Transients. 2025. arXiv:2508.18081

  3. [3]

    On gravitational-wave spectroscopy of massive black holes with the space interferometer LISA

    Berti, Emanuele and Cardoso, Vitor and Will, Clifford M. On gravitational-wave spectroscopy of massive black holes with the space interferometer LISA. Phys. Rev. D. 2006. doi:10.1103/PhysRevD.73.064030. arXiv:gr-qc/0512160

  4. [4]

    BLACK HOLES AND GRAVITATIONAL WAVES

    Detweiler, Steven L. BLACK HOLES AND GRAVITATIONAL WAVES. III. THE RESONANT FREQUENCIES OF ROTATING HOLES. Astrophys. J. 1980. doi:10.1086/158109

  5. [5]

    urrer, M. and Raymond, V. and Veitch, J. , title =

    Chatziioannou, K. and Dent, T. and Fishbach, M. and Ohme, F. and P\"urrer, M. and Raymond, V. and Veitch, J. , title = ". 2024. arXiv:2409.02037

  6. [6]

    and Agathos, Michalis

    Evstafyeva, Tamara and Sperhake, Ulrich and Romero-Shaw, Isobel M. and Agathos, Michalis. Gravitational-Wave Data Analysis with High-Precision Numerical Relativity Simulations of Boson Star Mergers. Phys. Rev. Lett. 2024. doi:10.1103/PhysRevLett.133.131401. arXiv:2406.02715

  7. [7]

    Binary boson stars: Merger dynamics and formation of rotating remnant stars

    Siemonsen, Nils and East, William E. Binary boson stars: Merger dynamics and formation of rotating remnant stars. Phys. Rev. D. 2023. doi:10.1103/PhysRevD.107.124018. arXiv:2302.06627

  8. [8]

    A guide to LIGO Virgo detector noise and extraction of transient gravitational-wave signals

    Abbott, Benjamin P and others. A guide to LIGO Virgo detector noise and extraction of transient gravitational-wave signals. Class. Quant. Grav. 2020. doi:10.1088/1361-6382/ab685e. arXiv:1908.11170

  9. [9]

    Impact of eccentricity and mean anomaly in numerical relativity mergers

    Nee, Peter James and others. Impact of eccentricity and mean anomaly in numerical relativity mergers. 2025. arXiv:2503.05422

  10. [10]

    Huerta, E. A. and others. Physics of eccentric binary black hole mergers: A numerical relativity perspective. Phys. Rev. D. 2019. doi:10.1103/PhysRevD.100.064003. arXiv:1901.07038

  11. [11]

    Eccentric black hole mergers and zoom-whirl behavior from elliptic inspirals to hyperbolic encounters

    Gold, Roman and Br\"ugmann, Bernd , title = ". Phys. Rev. D. 2013. doi:10.1103/PhysRevD.88.064051. arXiv:1209.4085

  12. [12]

    Observing complete gravitational wave signals from dynamical capture binaries

    East, William E. and McWilliams, Sean T. and Levin, Janna and Pretorius, Frans. Observing complete gravitational wave signals from dynamical capture binaries. Phys. Rev. D. 2013. doi:10.1103/PhysRevD.87.043004. arXiv:1212.0837

  13. [13]

    Scattering and dynamical capture of two black holes: Synergies between numerical and analytical methods

    Albanesi, Simone and Rashti, Alireza and Zappa, Francesco and Gamba, Rossella and Cook, William and Daszuta, Boris and Bernuzzi, Sebastiano and Nagar, Alessandro and Radice, David. Scattering and dynamical capture of two black holes: Synergies between numerical and analytical methods. Phys. Rev. D. 2025. doi:10.1103/PhysRevD.111.024069. arXiv:2405.20398

  14. [14]

    Hints of spin-magnitude correlations and a rapidly spinning subpopulation of binary black holes

    Hussain, Asad and Isi, Maximiliano and Zimmerman, Aaron. Hints of spin-magnitude correlations and a rapidly spinning subpopulation of binary black holes. 2024. arXiv:2411.02252

  15. [15]

    Computationally efficient models for the dominant and sub-dominant harmonic modes of precessing binary black holes

    Pratten, Geraint and others. Computationally efficient models for the dominant and subdominant harmonic modes of precessing binary black holes. Phys. Rev. D. 2021. doi:10.1103/PhysRevD.103.104056. arXiv:2004.06503

  16. [16]

    Toward numerical-relativity informed effective-one-body waveforms for dynamical capture black hole binaries

    Andrade, Tomas and others. Toward numerical-relativity informed effective-one-body waveforms for dynamical capture black hole binaries. Phys. Rev. D. 2024. doi:10.1103/PhysRevD.109.084025. arXiv:2307.08697

  17. [17]

    and Gerosa, Davide and Loutrel, Nicholas

    Romero-Shaw, Isobel M. and Gerosa, Davide and Loutrel, Nicholas. Eccentricity or spin precession? Distinguishing subdominant effects in gravitational-wave data. Mon. Not. Roy. Astron. Soc. 2023. doi:10.1093/mnras/stad031. arXiv:2211.07528

  18. [18]

    doi:10.5281/zenodo.592845 , url =

    Michael Waskom and others , title =. doi:10.5281/zenodo.592845 , url =

  19. [19]

    0 , title =

    Virtanen, Pauli and others, SciPy 1. 0 , title =. Nature Methods , volume = 17, pages =. 2020 , doi =

  20. [20]

    Harris and others , year =

    Charles R. Harris and others , year =. Array programming with. Nature (London) , volume =. doi:10.1038/s41586-020-2649-2 , publisher =

  21. [21]

    Hunter, J. D. , Title =. Comput. Sci. Eng. , Volume =

  22. [22]

    doi:10.5281/zenodo.8165507 , url =

    Carullo, Gregorio and Del Pozzo, Walter and Veitch, John , title =. doi:10.5281/zenodo.8165507 , url =

  23. [23]

    Eccentric binary black-hole mergers: The transition from inspiral to plunge in general relativity

    Sperhake, Ulrich and Berti, Emanuele and Cardoso, Vitor and Gonzalez, Jose A. and Bruegmann, Bernd and Ansorg, Marcus. Eccentric binary black-hole mergers: The Transition from inspiral to plunge in general relativity. Phys. Rev. D. 2008. doi:10.1103/PhysRevD.78.064069. arXiv:0710.3823

  24. [24]

    Transformation of the multipolar components of gravitational radiation under rotations and boosts

    Gualtieri, Leonardo and Berti, Emanuele and Cardoso, Vitor and Sperhake, Ulrich. Transformation of the multipolar components of gravitational radiation under rotations and boosts. Phys. Rev. D. 2008. doi:10.1103/PhysRevD.78.044024. arXiv:0805.1017

  25. [25]

    Post-Newtonian Theory for Gravitational Waves

    Blanchet, Luc. Post-Newtonian Theory for Gravitational Waves. Living Rev. Rel. 2014. doi:10.12942/lrr-2014-2. arXiv:1310.1528

  26. [26]

    doi:10.5281/zenodo.4109271 , url =

    John Veitch and Walter Del Pozzo and Michael Williams and Colm Talbot and Matt Pitkin and Gregory Ashton and Cody and Moritz Hübner and Alex Nitz and Duncan Macleod and Gregorio Carullo and Guy Davies and Tony , title =. doi:10.5281/zenodo.4109271 , url =

  27. [27]

    Ringdown mode amplitudes of precessing binary black holes

    Nobili, Francesco and Bhagwat, Swetha and Pacilio, Costantino and Gerosa, Davide. Ringdown mode amplitudes of precessing binary black holes. 2025. arXiv:2504.17021

  28. [28]

    Black hole spectroscopy: from theory to experiment

    Berti, Emanuele and others. Black hole spectroscopy: from theory to experiment. 2025. arXiv:2505.23895

  29. [29]

    Method for detection and reconstruction of gravitational wave transients with networks of advanced detectors

    Klimenko, S. and others. Method for detection and reconstruction of gravitational wave transients with networks of advanced detectors. Phys. Rev. D. 2016. doi:10.1103/PhysRevD.93.042004. arXiv:1511.05999

  30. [30]

    Wavescan: multiresolution regression of gravitational-wave data

    Klimenko, Sergey. Wavescan: multiresolution regression of gravitational-wave data. 2022. arXiv:2201.01096

  31. [31]

    and Heng, Ik Siong and Pai, Archana

    Smith, Leigh and Ghosh, Sayantan and Sun, Jiyoon and Gayathri, V. and Heng, Ik Siong and Pai, Archana. Enhancing search pipelines for short gravitational-wave transients with Gaussian mixture modeling. Phys. Rev. D. 2024. doi:10.1103/PhysRevD.110.083032. arXiv:2407.16414

  32. [32]

    and Pai, Archana and Heng, Ik Siong and Messenger, Chris and Gupta, Sagar Kumar

    Lopez, Dixeena and Gayathri, V. and Pai, Archana and Heng, Ik Siong and Messenger, Chris and Gupta, Sagar Kumar. Utilizing Gaussian mixture models in all-sky searches for short-duration gravitational wave bursts. Phys. Rev. D. 2022. doi:10.1103/PhysRevD.105.063024. arXiv:2112.06608

  33. [33]

    and Lopez, Dixeena and Pranjal, R

    Gayathri, V. and Lopez, Dixeena and Pranjal, R. S. and Heng, Ik Siong and Pai, Archana and Messenger, Chris. Enhancing the sensitivity of transient gravitational wave searches with Gaussian mixture models. Phys. Rev. D. 2020. doi:10.1103/PhysRevD.102.104023. arXiv:2008.01262

  34. [34]

    and others

    Szczepa\'nczyk, Marek J. and others. Search for gravitational-wave bursts in the third Advanced LIGO-Virgo run with coherent WaveBurst enhanced by machine learning. Phys. Rev. D. 2023. doi:10.1103/PhysRevD.107.062002. arXiv:2210.01754

  35. [35]

    and Szczepa\'nczyk, Marek J

    Mishra, Tanmaya and Bhaumik, Shubhagata and Gayathri, V. and Szczepa\'nczyk, Marek J. and Bartos, Imre and Klimenko, Sergey. Gravitational waves detected by a burst search in LIGO/Virgo s third observing run. Phys. Rev. D. 2025. doi:10.1103/PhysRevD.111.023054. arXiv:2410.15191

  36. [36]

    and Szczepanczyk, Marek and Bhaumik, Shubhagata and Bartos, Imre and Klimenko, Sergey

    Mishra, Tanmaya and O'Brien, Brendan and Gayathri, V. and Szczepanczyk, Marek and Bhaumik, Shubhagata and Bartos, Imre and Klimenko, Sergey. Optimization of model independent gravitational wave search for binary black hole mergers using machine learning. Phys. Rev. D. 2021. doi:10.1103/PhysRevD.104.023014. arXiv:2105.04739

  37. [37]

    and others

    Mishra, T. and others. Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning. Phys. Rev. D. 2022. doi:10.1103/PhysRevD.105.083018. arXiv:2201.01495

  38. [38]

    Circularization and Final Spin in Eccentric Binary Black Hole Inspirals

    Hinder, Ian and Vaishnav, Birjoo and Herrmann, Frank and Shoemaker, Deirdre and Laguna, Pablo. Universality and final spin in eccentric binary black hole inspirals. Phys. Rev. D. 2008. doi:10.1103/PhysRevD.77.081502. arXiv:0710.5167

  39. [39]

    Quasinormal modes of black holes and black branes

    Berti, Emanuele and Cardoso, Vitor and Starinets, Andrei O. Quasinormal modes of black holes and black branes. Class. Quant. Grav. 2009. doi:10.1088/0264-9381/26/16/163001. arXiv:0905.2975

  40. [40]

    Black Hole Spectroscopy: Testing General Relativity through Gravitational Wave Observations

    Dreyer, Olaf and Kelly, Bernard J. and Krishnan, Badri and Finn, Lee Samuel and Garrison, David and Lopez-Aleman, Ramon. Black hole spectroscopy: Testing general relativity through gravitational wave observations. Class. Quant. Grav. 2004. doi:10.1088/0264-9381/21/4/003. arXiv:gr-qc/0309007

  41. [41]

    Bayesian model selection for testing the no-hair theorem with black hole ringdowns

    Gossan, S. and Veitch, J. and Sathyaprakash, B. S. Bayesian model selection for testing the no-hair theorem with black hole ringdowns. Phys. Rev. D. 2012. doi:10.1103/PhysRevD.85.124056. arXiv:1111.5819

  42. [42]

    A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes

    Tsang, Ka Wa and Rollier, Michiel and Ghosh, Archisman and Samajdar, Anuradha and Agathos, Michalis and Chatziioannou, Katerina and Cardoso, Vitor and Khanna, Gaurav and Van Den Broeck, Chris. A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes. Phys. Rev. D. 2018. doi:10.1103/PhysRevD.98.024023. arXiv:...

  43. [43]

    A morphology-independent search for gravitational wave echoes in data from the first and second observing runs of Advanced LIGO and Advanced Virgo

    Tsang, Ka Wa and Ghosh, Archisman and Samajdar, Anuradha and Chatziioannou, Katerina and Mastrogiovanni, Simone and Agathos, Michalis and Van Den Broeck, Chris. A morphology-independent search for gravitational wave echoes in data from the first and second observing runs of Advanced LIGO and Advanced Virgo. Phys. Rev. D. 2020. doi:10.1103/PhysRevD.101.064...

  44. [44]

    Novel Ringdown Amplitude-Phase Consistency Test

    Forteza, Xisco Jim\'enez and Bhagwat, Swetha and Kumar, Sumit and Pani, Paolo. Novel Ringdown Amplitude-Phase Consistency Test. Phys. Rev. Lett. 2023. doi:10.1103/PhysRevLett.130.021001. arXiv:2205.14910

  45. [45]

    Fourth RIT binary black hole simulations catalog: Extension to eccentric orbits

    Healy, James and Lousto, Carlos O. Fourth RIT binary black hole simulations catalog: Extension to eccentric orbits. Phys. Rev. D. 2022. doi:10.1103/PhysRevD.105.124010. arXiv:2202.00018

  46. [46]

    GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

    Abbott, R. and others. GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run. Phys. Rev. X. 2021. doi:10.1103/PhysRevX.11.021053. arXiv:2010.14527

  47. [47]

    and others

    Abbott, R. and others. GWTC-2.1: Deep extended catalog of compact binary coalescences observed by LIGO and Virgo during the first half of the third observing run. Phys. Rev. D. 2024. doi:10.1103/PhysRevD.109.022001. arXiv:2108.01045

  48. [48]

    GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run

    Abbott, R. and others. GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run. Phys. Rev. X. 2023. doi:10.1103/PhysRevX.13.041039. arXiv:2111.03606

  49. [49]

    Extracting the Gravitational Recoil from Black Hole Merger Signals

    Varma, Vijay and Isi, Maximiliano and Biscoveanu, Sylvia. Extracting the Gravitational Recoil from Black Hole Merger Signals. Phys. Rev. Lett. 2020. doi:10.1103/PhysRevLett.124.101104. arXiv:2002.00296

  50. [50]

    Surrogate models for precessing binary black hole simulations with unequal masses

    Varma, Vijay and Field, Scott E. and Scheel, Mark A. and Blackman, Jonathan and Gerosa, Davide and Stein, Leo C. and Kidder, Lawrence E. and Pfeiffer, Harald P. Surrogate models for precessing binary black hole simulations with unequal masses. Phys. Rev. Research. 2019. doi:10.1103/PhysRevResearch.1.033015. arXiv:1905.09300

  51. [51]

    and Khanna, Gaurav and Scheel, Mark A

    Islam, Tousif and Varma, Vijay and Lodman, Jackie and Field, Scott E. and Khanna, Gaurav and Scheel, Mark A. and Pfeiffer, Harald P. and Gerosa, Davide and Kidder, Lawrence E. Eccentric binary black hole surrogate models for the gravitational waveform and remnant properties: comparable mass, nonspinning case. Phys. Rev. D. 2021. doi:10.1103/PhysRevD.103.0...

  52. [52]

    Ringdown amplitudes of nonspinning eccentric binaries

    Carullo, Gregorio. Ringdown amplitudes of nonspinning eccentric binaries. JCAP. 2024. doi:10.1088/1475-7516/2024/10/061. arXiv:2406.19442

  53. [53]

    Unveiling the Merger Structure of Black Hole Binaries in Generic Planar Orbits

    Carullo, Gregorio and Albanesi, Simone and Nagar, Alessandro and Gamba, Rossella and Bernuzzi, Sebastiano and Andrade, Tomas and Trenado, Juan. Unveiling the Merger Structure of Black Hole Binaries in Generic Planar Orbits. Phys. Rev. Lett. 2024. doi:10.1103/PhysRevLett.132.101401. arXiv:2309.07228

  54. [54]

    The impact of initial conditions on quasi-normal modes

    Chavda, Ameya and Lagos, Macarena and Hui, Lam. The impact of initial conditions on quasi-normal modes. 2024. arXiv:2412.03435

  55. [55]

    and others

    Abbott, R. and others. GW190412: Observation of a Binary-Black-Hole Coalescence with Asymmetric Masses. Phys. Rev. D. 2020. doi:10.1103/PhysRevD.102.043015. arXiv:2004.08342

  56. [56]

    and others

    Abbott, R. and others. GW190814: Gravitational Waves from the Coalescence of a 23 Solar Mass Black Hole with a 2.6 Solar Mass Compact Object. Astrophys. J. Lett. 2020. doi:10.3847/2041-8213/ab960f. arXiv:2006.12611

  57. [57]

    and others

    Abbott, R. and others. GW190521: A Binary Black Hole Merger with a Total Mass of 150 M_. Phys. Rev. Lett. 2020. doi:10.1103/PhysRevLett.125.101102. arXiv:2009.01075

  58. [58]

    and others

    Abbott, R. and others. Properties and Astrophysical Implications of the 150 M _ Binary Black Hole Merger GW190521. Astrophys. J. Lett. 2020. doi:10.3847/2041-8213/aba493. arXiv:2009.01190

  59. [59]

    Low-latency analysis pipeline for compact binary coalescences in the advanced gravitational wave detector era

    Adams, T. and Buskulic, D. and Germain, V. and Guidi, G. M. and Marion, F. and Montani, M. and Mours, B. and Piergiovanni, F. and Wang, G. Low-latency analysis pipeline for compact binary coalescences in the advanced gravitational wave detector era. Class. Quant. Grav. 2016. doi:10.1088/0264-9381/33/17/175012. arXiv:1512.02864

  60. [60]

    FINDCHIRP: an algorithm for detection of gravitational waves from inspiraling compact binaries

    Allen, Bruce and Anderson, Warren G. and Brady, Patrick R. and Brown, Duncan A. and Creighton, Jolien D. E. FINDCHIRP: An Algorithm for detection of gravitational waves from inspiraling compact binaries. Phys. Rev. D. 2012. doi:10.1103/PhysRevD.85.122006. arXiv:gr-qc/0509116

  61. [61]

    Generation and propagation of nonlinear quasinormal modes of a Schwarzschild black hole

    Lagos, Macarena and Hui, Lam. Generation and propagation of nonlinear quasinormal modes of a Schwarzschild black hole. Phys. Rev. D. 2023. doi:10.1103/PhysRevD.107.044040. arXiv:2208.07379

  62. [62]

    Faithful effective-one-body waveform of small-mass-ratio coalescing black hole binaries: The eccentric, nonspinning case

    Albanesi, Simone and Bernuzzi, Sebastiano and Damour, Thibault and Nagar, Alessandro and Placidi, Andrea. Faithful effective-one-body waveform of small-mass-ratio coalescing black hole binaries: The eccentric, nonspinning case. Phys. Rev. D. 2023. doi:10.1103/PhysRevD.108.084037. arXiv:2305.19336

  63. [63]

    Quasinormal ringing of Kerr black holes: The excitation factors

    Berti, Emanuele and Cardoso, Vitor. Quasinormal ringing of Kerr black holes. I. The Excitation factors. Phys. Rev. D. 2006. doi:10.1103/PhysRevD.74.104020. arXiv:gr-qc/0605118

  64. [64]

    Agnostic black hole spectroscopy: Quasinormal mode content of numerical relativity waveforms and limits of validity of linear perturbation theory

    Baibhav, Vishal and Cheung, Mark Ho-Yeuk and Berti, Emanuele and Cardoso, Vitor and Carullo, Gregorio and Cotesta, Roberto and Del Pozzo, Walter and Duque, Francisco. Agnostic black hole spectroscopy: Quasinormal mode content of numerical relativity waveforms and limits of validity of linear perturbation theory. Phys. Rev. D. 2023. doi:10.1103/PhysRevD.10...

  65. [65]

    Colliding black holes: how far can the close approximation go?

    Gleiser, Reinaldo J. and Nicasio, Carlos O. and Price, Richard H. and Pullin, Jorge. Colliding black holes: How far can the close approximation go?. Phys. Rev. Lett. 1996. doi:10.1103/PhysRevLett.77.4483. arXiv:gr-qc/9609022

  66. [66]

    Is black-hole ringdown a memory of its progenitor?

    Kamaretsos, Ioannis and Hannam, Mark and Sathyaprakash, B. Is black-hole ringdown a memory of its progenitor?. Phys. Rev. Lett. 2012. doi:10.1103/PhysRevLett.109.141102. arXiv:1207.0399

  67. [67]

    Modeling Ringdown: Beyond the Fundamental Quasi-Normal Modes

    London, Lionel and Shoemaker, Deirdre and Healy, James. Modeling ringdown: Beyond the fundamental quasinormal modes. Phys. Rev. D. 2014. doi:10.1103/PhysRevD.90.124032. arXiv:1404.3197

  68. [68]

    and Green, Stephen R

    Sberna, Laura and Bosch, Pablo and East, William E. and Green, Stephen R. and Lehner, Luis. Nonlinear effects in the black hole ringdown: Absorption-induced mode excitation. Phys. Rev. D. 2022. doi:10.1103/PhysRevD.105.064046. arXiv:2112.11168

  69. [69]

    Nonlinear Effects in Black Hole Ringdown

    Cheung, Mark Ho-Yeuk and others. Nonlinear Effects in Black Hole Ringdown. Phys. Rev. Lett. 2023. doi:10.1103/PhysRevLett.130.081401. arXiv:2208.07374

  70. [70]

    Nonlinearities in Black Hole Ringdowns

    Mitman, Keefe and others. Nonlinearities in Black Hole Ringdowns. Phys. Rev. Lett. 2023. doi:10.1103/PhysRevLett.130.081402. arXiv:2208.07380

  71. [71]

    Nonlinear quasi-normal modes: uniform approximation

    Bucciotti, Bruno and Kuntz, Adrien and Serra, Francesco and Trincherini, Enrico. Nonlinear quasi-normal modes: uniform approximation. JHEP. 2023. doi:10.1007/JHEP12(2023)048. arXiv:2309.08501

  72. [72]

    Non-linear black hole ringdowns: An analytical approach

    Perrone, Davide and Barreira, Thomas and Kehagias, Alex and Riotto, Antonio. Non-linear black hole ringdowns: An analytical approach. Nucl. Phys. B. 2024. doi:10.1016/j.nuclphysb.2023.116432. arXiv:2308.15886

  73. [73]

    and Berti, Emanuele and Cardoso, Vitor

    Redondo-Yuste, Jaime and Carullo, Gregorio and Ripley, Justin L. and Berti, Emanuele and Cardoso, Vitor. Spin dependence of black hole ringdown nonlinearities. Phys. Rev. D. 2024. doi:10.1103/PhysRevD.109.L101503. arXiv:2308.14796

  74. [74]

    A chi-squared time-frequency discriminator for gravitational wave detection

    Allen, Bruce. ^ 2 time-frequency discriminator for gravitational wave detection. Phys. Rev. D. 2005. doi:10.1103/PhysRevD.71.062001. arXiv:gr-qc/0405045

  75. [75]

    Andres, Nicolas and others. Assessing the compact-binary merger candidates reported by the MBTA pipeline in the LIGO Virgo O3 run: probability of astrophysical origin, classification, and associated uncertainties. Class. Quant. Grav. 2022. doi:10.1088/1361-6382/ac482a. arXiv:2110.10997

  76. [76]

    and others

    Aubin, F. and others. The MBTA pipeline for detecting compact binary coalescences in the third LIGO Virgo observing run. Class. Quant. Grav. 2021. doi:10.1088/1361-6382/abe913. arXiv:2012.11512

  77. [77]

    SoftwareX , keywords =

    GstLAL: A software framework for gravitational wave discovery. SoftwareX , keywords =. doi:10.1016/j.softx.2021.100680 , archivePrefix =. 2010.05082 , primaryClass =

  78. [78]

    and Gadre, Bhooshan and Cabourn Davies, Gareth S

    Dal Canton, Tito and Nitz, Alexander H. and Gadre, Bhooshan and Cabourn Davies, Gareth S. and Villa-Ortega, Veronica and Dent, Thomas and Harry, Ian and Xiao, Liting. Real-time Search for Compact Binary Mergers in Advanced LIGO and Virgo's Third Observing Run Using PyCBC Live. Astrophys. J. 2021. doi:10.3847/1538-4357/ac2f9a. arXiv:2008.07494

  79. [79]

    and Harry, Ian W

    Cabourn Davies, Gareth S. and Harry, Ian W. Establishing significance of gravitational-wave signals from a single observatory in the PyCBC offline search. Class. Quant. Grav. 2022. doi:10.1088/1361-6382/ac8862. arXiv:2203.08545

  80. [80]

    and Dent, Thomas and T\'apai, M\'arton and Harry, Ian and McIsaac, Connor and Nitz, Alexander H

    Davies, Gareth S. and Dent, Thomas and T\'apai, M\'arton and Harry, Ian and McIsaac, Connor and Nitz, Alexander H. Extending the PyCBC search for gravitational waves from compact binary mergers to a global network. Phys. Rev. D. 2020. doi:10.1103/PhysRevD.102.022004. arXiv:2002.08291

Showing first 80 references.