Attenzione: i dati modificati non sono ancora stati salvati. Per confermare inserimenti o cancellazioni di voci è necessario confermare con il tasto SALVA/INSERISCI in fondo alla pagina
UNICA IRIS Institutional Research Information System
Context. The 2017 observing campaign of the Event Horizon Telescope (EHT) delivered the first very long baseline interferometry (VLBI) images at the observing frequency of 230 GHz, leading to a number of unique studies on black holes and relativistic jets from active galactic nuclei (AGN). In total, eighteen sources were observed, including the main science targets, Sgr A∗ and M87, and various calibrators. Sixteen sources were AGN. Aims.We investigated the morphology of the sixteen AGN in the EHT 2017 data set, focusing on the properties of the VLBI cores: size, flux density, and brightness temperature. We studied their dependence on the observing frequency in order to compare it with the Blandford-Konigl (BK) jet model. In particular, we aimed to study the signatures of jet acceleration and magnetic energy conversion. Methods. We modeled the source structure of seven AGN in the EHT 2017 data set using linearly polarized circular Gaussian components (1749+096, 1055+018, BL Lac, J0132-1654, J0006-0623, CTA102, and 3C 454.3) and collected results for the other nine AGN from dedicated EHT publications, complemented by lower frequency data in the 2-86 GHz range. Combining these data into a multifrequency EHT+ data set, we studied the dependences of the VLBI core component flux density, size, and brightness temperature on the frequency measured in the AGN host frame (and hence on the distance from the central black hole), characterizing them with power law fits. We compared the observations with the BK jet model and estimated the magnetic field strength dependence on the distance from the central black hole. Results. Our observations spanning event horizon to parsec scales indicate a deviation from the standard BK model, particularly in the decrease of the brightness temperature with the observing frequency. Only some of the discrepancies may be alleviated by tweaking the model parameters or the jet collimation profile. Either bulk acceleration of the jet material, energy transfer from the magnetic field to the particles, or both are required to explain the observations. For our sample, we estimate a general radial dependence of the Doppler factor δ ∝ r≤0.5. This interpretation is consistent with a magnetically accelerated sub-parsec jet. We also estimate a steep decrease of the magnetic field strength with radius B ∝ r-3, hinting at jet acceleration or efficient magnetic energy dissipation.
A multifrequency study of sub-parsec jets with the Event Horizon Telescope
Jan R??der;Maciek Wielgus;Andrei P. Lobanov;Thomas P. Krichbaum;Dhanya G. Nair;Sang-Sung Lee;Eduardo Ros;Vincent L. Fish;Lindy Blackburn;Chi-kwan Chan;Sara Issaoun;Michael Janssen;Michael D. Johnson;Sheperd S. Doeleman;Geoffrey C. Bower;Geoffrey B. Crew;Remo P. J. Tilanus;Tuomas Savolainen;C. M. Violette Impellizzeri;Antxon Alberdi;Anne-Kathrin Baczko;Jos?? L. G??mez;Ru-Sen Lu;Georgios F. Paraschos;Efthalia Traianou;Ciriaco Goddi;Daewon Kim;Mikhail Lisakov;Yuri Y. Kovalev;Petr A. Voitsik;Kirill V. Sokolovsky;Kazunori Akiyama;Ezequiel Albentosa-Ru??z;Walter Alef;Juan Carlos Algaba;Richard Anantua;Keiichi Asada;Rebecca Azulay;Uwe Bach;David Ball;Mislav Balokovi??;Bidisha Bandyopadhyay;John Barrett;Michi Baub??ck;Bradford A. Benson;Dan Bintley;Raymond Blundell;Katherine L. Bouman;Michael Bremer;Christiaan D. Brinkerink;Roger Brissenden;Silke Britzen;Avery E. Broderick;Dominique Broguiere;Thomas Bronzwaer;Sandra Bustamante;Do-Young Byun;John E. Carlstrom;Chiara Ceccobello;Andrew Chael;Dominic O. Chang;Koushik Chatterjee;Shami Chatterjee;Ming-Tang Chen;Yongjun Chen;Xiaopeng Cheng;Ilje Cho;Pierre Christian;Nicholas S. Conroy;John E. Conway;James M. Cordes;Thomas M. Crawford;Alejandro Cruz-Osorio;Yuzhu Cui;Brandon Curd;Rohan Dahale;Jordy Davelaar;Mariafelicia De Laurentis;Roger Deane;Jessica Dempsey;Gregory Desvignes;Jason Dexter;Vedant Dhruv;Indu K. Dihingia;Sean Taylor Dougall;Sergio A. Dzib;Ralph P. Eatough;Razieh Emami;Heino Falcke;Joseph Farah;Edward Fomalont;H. Alyson Ford;Marianna Foschi;Raquel Fraga-Encinas;William T. Freeman;Per Friberg;Christian M. Fromm;Antonio Fuentes;Peter Galison;Charles F. Gammie;Roberto Garc??a;Olivier Gentaz;Boris Georgiev;Roman Gold;Arturo I. G??mez-Ruiz;Minfeng Gu;Mark Gurwell;Kazuhiro Hada;Daryl Haggard;Kari Haworth;Michael H. Hecht;Ronald Hesper;Dirk Heumann;Luis C. Ho;Paul Ho;Mareki Honma;Chih-Wei L. Huang;Lei Huang;David H. Hughes;Shiro Ikeda;Makoto Inoue;David J. James;Buell T. Jannuzi;Britton Jeter;Wu Jiang;Alejandra Jim??nez-Rosales;Svetlana Jorstad;Abhishek V. Joshi;Taehyun Jung;Mansour Karami;Ramesh Karuppusamy;Tomohisa Kawashima;Garrett K. Keating;Mark Kettenis;Dong-Jin Kim;Jae-Young Kim;Jongsoo Kim;Junhan Kim;Motoki Kino;Jun Yi Koay;Prashant Kocherlakota;Yutaro Kofuji;Shoko Koyama;Carsten Kramer;Joana A. Kramer;Michael Kramer;Cheng-Yu Kuo;Noemi La Bella;Tod R. Lauer;Daeyoung Lee;Po Kin Leung;Aviad Levis;Zhiyuan Li;Rocco Lico;Greg Lindahl;Michael Lindqvist;Jun Liu;Kuo Liu;Elisabetta Liuzzo;Wen-Ping Lo;Laurent Loinard;Colin J. Lonsdale;Amy E. Lowitz;Nicholas R. MacDonald;Jirong Mao;Nicola Marchili;Sera Markoff;Daniel P. Marrone;Alan P. Marscher;Iv??n Mart??-Vidal;Satoki Matsushita;Lynn D. Matthews;Lia Medeiros;Karl M. Menten;Daniel Michalik;Izumi Mizuno;Yosuke Mizuno;James M. Moran;Kotaro Moriyama;Monika Moscibrodzka;Wanga Mulaudzi;Cornelia M??ller;Hendrik M??ller;Alejandro Mus;Gibwa Musoke;Ioannis Myserlis;Andrew Nadolski;Hiroshi Nagai;Neil M. Nagar;Masanori Nakamura;Gopal Narayanan;Iniyan Natarajan;Antonios Nathanail;Santiago Navarro Fuentes;Joey Neilsen;Roberto Neri;Chunchong Ni;Aristeidis Noutsos;Michael A. Nowak;Junghwan Oh;Hiroki Okino;H??ctor R. Olivares S??nchez;Gisela N. Ortiz-Le??n;Tomoaki Oyama;Feryal ??zel;Daniel C. M. Palumbo;Jongho Park;Harriet Parsons;Nimesh Patel;Ue-Li Pen;Dominic W. Pesce;Vincent Pi??tu;Richard Plambeck;Aleksandar PopStefanija;Oliver Porth;Felix M. P??tzl;Ben Prather;Jorge A. Preciado-L??pez;Giacomo Principe;Dimitrios Psaltis;Hung-Yi Pu;Venkatessh Ramakrishnan;Ramprasad Rao;Mark G. Rawlings;Angelo Ricarte;Bart Ripperda;Freek Roelofs;Alan Rogers;Cristina Romero-Ca??izales;Arash Roshanineshat;Helge Rottmann;Alan L. Roy;Ignacio Ruiz;Chet Ruszczyk;Kazi L. J. Rygl;Salvador S??nchez;David S??nchez-Arg??elles;Miguel S??nchez-Portal;Mahito Sasada;Kaushik Satapathy;F. Peter Schloerb;Jonathan Schonfeld;Karl-Friedrich Schuster;Lijing Shao;Zhiqiang Shen;Des Small;Bong Won Sohn;Jason SooHoo;Le??n David Sosapanta Salas;Kamal Souccar;Joshua S. Stanway;He Sun;Fumie Tazaki;Alexandra J. Tetarenko;Paul Tiede;Michael Titus;Pablo Torne;Teresa Toscano;Tyler Trent;Sascha Trippe;Matthew Turk;Ilse van Bemmel;Huib J. van Langevelde;Daniel R. van Rossum;Jesse Vos;Jan Wagner;Derek Ward-Thompson;John Wardle;Jasmin E. Washington;Jonathan Weintroub;Robert Wharton;Kaj Wiik;Gunther Witzel;Michael F. Wondrak;George N. Wong;Qingwen Wu;Nitika Yadlapalli;Paul Yamaguchi;Aristomenis Yfantis;Doosoo Yoon;Andr?? Young;Ken Young;Ziri Younsi;Wei Yu;Feng Yuan;Ye-Fei Yuan;J. Anton Zensus;Shuo Zhang;Guang-Yao Zhao;Shan-Shan Zhao
2025-01-01
Abstract
Context. The 2017 observing campaign of the Event Horizon Telescope (EHT) delivered the first very long baseline interferometry (VLBI) images at the observing frequency of 230 GHz, leading to a number of unique studies on black holes and relativistic jets from active galactic nuclei (AGN). In total, eighteen sources were observed, including the main science targets, Sgr A∗ and M87, and various calibrators. Sixteen sources were AGN. Aims.We investigated the morphology of the sixteen AGN in the EHT 2017 data set, focusing on the properties of the VLBI cores: size, flux density, and brightness temperature. We studied their dependence on the observing frequency in order to compare it with the Blandford-Konigl (BK) jet model. In particular, we aimed to study the signatures of jet acceleration and magnetic energy conversion. Methods. We modeled the source structure of seven AGN in the EHT 2017 data set using linearly polarized circular Gaussian components (1749+096, 1055+018, BL Lac, J0132-1654, J0006-0623, CTA102, and 3C 454.3) and collected results for the other nine AGN from dedicated EHT publications, complemented by lower frequency data in the 2-86 GHz range. Combining these data into a multifrequency EHT+ data set, we studied the dependences of the VLBI core component flux density, size, and brightness temperature on the frequency measured in the AGN host frame (and hence on the distance from the central black hole), characterizing them with power law fits. We compared the observations with the BK jet model and estimated the magnetic field strength dependence on the distance from the central black hole. Results. Our observations spanning event horizon to parsec scales indicate a deviation from the standard BK model, particularly in the decrease of the brightness temperature with the observing frequency. Only some of the discrepancies may be alleviated by tweaking the model parameters or the jet collimation profile. Either bulk acceleration of the jet material, energy transfer from the magnetic field to the particles, or both are required to explain the observations. For our sample, we estimate a general radial dependence of the Doppler factor δ ∝ r≤0.5. This interpretation is consistent with a magnetically accelerated sub-parsec jet. We also estimate a steep decrease of the magnetic field strength with radius B ∝ r-3, hinting at jet acceleration or efficient magnetic energy dissipation.
Galaxies: active Galaxies: jets Galaxies: nuclei Quasars: general Quasars: supermassive black holes Techniques: interferometric
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/463627
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
Citazioni
ND
ND
ND
social impact
Conferma cancellazione
Sei sicuro che questo prodotto debba essere cancellato?
simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.