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91探花
Black Hole

Lensing of space time around a black hole. At 91探花 we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Michele Cappellari

Professor of Astrophysics

Research theme

  • Astronomy and astrophysics

Sub department

  • Astrophysics

Research groups

  • Galaxy formation and evolution
  • Extremely Large Telescope
michele.cappellari@physics.ox.ac.uk
Telephone: 01865 (2)73647
Denys Wilkinson Building, room 755
  • About
  • Publications

Detecting radio-AGN signatures in red geysers

Astrophysical Journal Institute of Physics 869:2 (2018) 117

Authors:

N Roy, K Bundy, E Cheung, W Rujopakarn, Michele Cappellari, F Belfiore, R Yan, T Heckman, M Bershady, J Greene, K Westfall, N Drory, K Rubin, D Law, K Zhang, J Gelfand, D Bizyaev, K Masters, D Thomas, C Li, RA Riffel

Abstract:

A new class of quiescent galaxies harboring possible AGN-driven winds has been discovered using spatially resolved optical spectroscopy from the ongoing SDSS-IV MaNGA survey. These galaxies, termed 鈥渞ed geysers鈥, constitute 5 - 10% of the local quiescent population and are characterized by narrow bisymmetric patterns in ionized gas emission features. Cheung et al. argued that these galaxies host large-scale AGN-driven winds that may play a role in suppressing star formation at late times. In this work, we test the hypothesis that AGN activity is ultimately responsible for the red geyser phenomenon. We compare the nuclear radio activity of the red geysers to a matched control sample with similar stellar mass, redshift, rest frame NUV -r color, axis ratio and presence of ionized gas. We have used the 1.4 GHz radio continuum data from VLA FIRST survey to stack the radio flux from the red geyser and control samples. In addition to a 3 times higher FIRST detection rate, we find that red geysers have a 5蟽 higher level of average radio flux than control galaxies. After restricting to rest-frame NUV - r color > 5 and checking mid-IR WISE photometry, we rule out star formation contamination and conclude that red geysers are associated with more active AGN. Red geysers and a possibly-related class with disturbed H伪 emission account for 40% of all radio-detected red galaxies with log (M*/M鈯) < 11. Our results 91探花 a picture in which episodic AGN activity drives large-scale-relatively weak ionized winds that may provide a feedback mechanism for many early-type galaxies.

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library

(2018)

Authors:

DS Aguado, Romina Ahumada, Andres Almeida, Scott F Anderson, Brett H Andrews, Borja Anguiano, Erik Aquino Ortiz, Alfonso Aragon-Salamanca, Maria Argudo-Fernandez, Marie Aubert, Vladimir Avila-Reese, Carles Badenes, Sandro Barboza Rembold, Kat Barger, Jorge Barrera-Ballesteros, Dominic Bates, Julian Bautista, Rachael L Beaton, Timothy C Beers, Francesco Belfiore, Mariangela Bernardi, Matthew Bershady, Florian Beutler, Jonathan Bird, Dmitry Bizyaev, Guillermo A Blanc, Michael R Blanton, Michael Blomqvist, Adam S Bolton, Mederic Boquien, Jura Borissova, Jo Bovy, William Nielsen Brandt, Jonathan Brinkmann, Joel R Brownstein, Kevin Bundy, Adam Burgasser, Nell Byler, Mariana Cano Diaz, Michele Cappellari, Ricardo Carrera, Bernardo Cervantes Sodi, Yanping Chen, Brian Cherinka, Peter Doohyun Choi, Haeun Chung, Damien Coffey, Julia M Comerford, Johan Comparat, Kevin Covey, Gabriele da Silva Ilha, Luiz da Costa, Yu Sophia Dai, Guillermo Damke, Jeremy Darling, Roger Davies, Kyle Dawson, Victoria de Sainte Agathe, Alice Deconto Machado, Agnese Del Moro, Nathan De Lee, Aleksandar M Diamond-Stanic, Helena Dominguez Sanchez, John Donor, Niv Drory, Helion du Mas des Bourboux, Chris Duckworth, Tom Dwelly, Garrett Ebelke, Eric Emsellem, Stephanie Escoffier, Jose G Fernandez-Trincado, Diane Feuillet, Johanna-Laina Fischer, Scott W Fleming, Amelia Fraser-McKelvie, Gordon Freischlad, Peter M Frinchaboy, Hai Fu, Lluis Galbany, Rafael Garcia-Dias, DA Garcia-Hernandez, Luis Alberto Garma Oehmichen, Marcio Antonio Geimba Maia, Hector Gil-Marin, Kathleen Grabowski, Meng Gu, Hong Guo, Jaewon Ha, Emily Harrington, Sten Hasselquist, Christian R Hayes, Fred Hearty, Hector Hernandez Toledo, Harry Hicks, David W Hogg, Kelly Holley-Bockelmann, Jon A Holtzman, Bau-Ching Hsieh, Jason AS Hunt, Ho Seong Hwang, Hector J Ibarra-Medel, Camilo Eduardo Jimenez Angel, Jennifer Johnson, Amy Jones, Henrik Jonsson, Karen Kinemuchi, Juna Kollmeier, Coleman Krawczyk, Kathryn Kreckel, Sandor Kruk, Ivan Lacerna, Ting-Wen Lan, Richard R Lane, David R Law, Young-Bae Lee, Cheng Li, Jianhui Lian, Lihwai Lin, Yen-Ting Lin, Chris Lintott, Dan Long, Penelope Longa-Pena, J Ted Mackereth, Axel de la Macorra, Steven R Majewski, Olena Malanushenko, Arturo Manchado, Claudia Maraston, Vivek Mariappan, Mariarosa Marinelli, Rui Marques-Chaves, Thomas Masseron, Karen L Masters, Richard M McDermid, Nicolas Medina Pena, Sofia Meneses-Goytia, Andrea Merloni, Michael Merrifield, Szabolcs Meszaros, Dante Minniti, Rebecca Minsley, Demitri Muna, Adam D Myers, Preethi Nair, Janaina Correa do Nascimento, Jeffrey A Newman, Christian Nitschelm, Matthew D Olmstead, Audrey Oravetz, Daniel Oravetz, Rene A Ortega Minakata, Zach Pace, Nelson Padilla, Pedro A Palicio, Kaike Pan, Hsi-An Pan, Taniya Parikh, James Parker, Sebastien Peirani, Samantha Penny, Will J Percival, Ismael Perez-Fournon, Thomas Peterken, Marc Pinsonneault, Abhishek Prakash, Jordan Raddick, Anand Raichoor, Rogemar A Riffel, Rogerio Riffel, Hans-Walter Rix, Annie C Robin, Alexandre Roman-Lopes, Benjamin Rose, Ashley J Ross, Graziano Rossi, Kate Rowlands, Kate HR Rubin, Sebastian F Sanchez, Jose R Sanchez-Gallego, Conor Sayres, Adam Schaefer, Ricardo P Schiavon, Jaderson S Schimoia, Edward Schlafly, David Schlegel, Donald Schneider, Mathias Schultheis, Hee-Jong Seo, Shoaib J Shamsi, Zhengyi Shao, Shiyin Shen, Shravan Shetty, Gregory Simonian, Rebecca Smethurst, Jennifer Sobeck, Barbara J Souter, Ashley Spindler, David V Stark, Keivan G Stassun, Matthias Steinmetz, Thaisa Storchi-Bergmann, Guy S Stringfellow, Genaro Suarez, Jing Sun, Manuchehr Taghizadeh-Popp, Michael S Talbot, Jamie Tayar, Aniruddha R Thakar, Daniel Thomas, Patricia Tissera, Rita Tojeiro, Nicholas W Troup, Eduardo Unda-Sanzana, Octavio Valenzuela, Mariana Vargas-Maga na, Jose Antonio Vazquez Mata, David Wake, Benjamin Alan Weaver, Anne-Marie Weijmans, Kyle B Westfall, Vivienne Wild, John Wilson, Emily Woods, Renbin Yan, Meng Yang, Olga Zamora, Gail Zasowski, Kai Zhang, Zheng Zheng, Zheng Zheng, Guangtun Zhu, Joel C Zinn, Hu Zou

The impact of AGN on stellar kinematics and orbits in simulated massive galaxies

(2018)

Authors:

Matteo Frigo, Thorsten Naab, Michaela Hirschmann, Ena Choi, Rachel Somerville, Davor Krajnovic, Romeel Dav茅, Michele Cappellari

Detecting Radio-AGN signatures in Red geysers

(2018)

Authors:

Namrata Roy, Kevin Bundy, Edmond Cheung, Wiphu Rujopakarn, Michele Cappellari, Francesco Belfiore, Renbin Yan, Tim Heckman, Matthew Bershady, Jenny Greene, Kyle Westfall, Niv Drory, Kate Rubin, David Law, Kai Zhang, Joseph Gelfand, Dmitry Bizyaev, David Wake, Karen Masters, Daniel Thomas, Cheng Li, Rogemar A Riffel

SDSS-IV MaNGA: The intrinsic shape of slow rotator early-type galaxies

Astrophysical Journal Letters American Astronomical Society 863:2 (2018) L19

Authors:

H Li, S Mao, Michele Cappellari, Mark T Graham, E Emsellem, RJ Long

Abstract:

By inverting the distributions of galaxies' apparent ellipticities and misalignment angles (measured around the projected half-light radius R e) between their photometric and kinematic axes, we study the intrinsic shape distribution of 189 slow rotator early-type galaxies with stellar masses 2 脳 1011 M 鈯 < M * < 2 脳 1012 M 鈯, extracted from a sample of about 2200 galaxies with integral-field stellar kinematics from the data release 14 (DR14) of the fourth-generation Sloan Digital Sky Survey IV (SDSS-IV) Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) integral field unit (IFU) survey. Thanks to the large sample of slow rotators, Graham et al. showed that there is clear structure in the misalignment angle distribution, with two peaks at both 0掳 and 90掳 misalignment (characteristic of oblate and prolate rotation, respectively). Here we invert the observed distribution from Graham et al. The large sample allows us to go beyond the known fact that slow rotators are weakly triaxial and to place useful constraints on their intrinsic triaxiality distribution (around 1 R e) for the first time. The shape inversion is generally non-unique. However, we find that, for a wide set of model assumptions, the observed distribution clearly requires a dominant triaxial-oblate population. For some of our models, the data suggest a minor triaxial-prolate population, but a dominant prolate population is ruled out.

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