LSST: from Science Drivers to Reference Design and Anticipated Data Products

(2008)

Authors:

Željko Ivezić, Steven M Kahn, J Anthony Tyson, Bob Abel, Emily Acosta, Robyn Allsman, David Alonso, Yusra AlSayyad, Scott F Anderson, John Andrew, James Roger P Angel, George Z Angeli, Reza Ansari, Pierre Antilogus, Constanza Araujo, Robert Armstrong, Kirk T Arndt, Pierre Astier, Éric Aubourg, Nicole Auza, Tim S Axelrod, Deborah J Bard, Jeff D Barr, Aurelian Barrau, James G Bartlett, Amanda E Bauer, Brian J Bauman, Sylvain Baumont, Andrew C Becker, Jacek Becla, Cristina Beldica, Steve Bellavia, Federica B Bianco, Rahul Biswas, Guillaume Blanc, Jonathan Blazek, Roger D Blandford, Josh S Bloom, Joanne Bogart, Tim W Bond, Anders W Borgland, Kirk Borne, James F Bosch, Dominique Boutigny, Craig A Brackett, Andrew Bradshaw, William Nielsen Brandt, Michael E Brown, James S Bullock, Patricia Burchat, David L Burke, Gianpietro Cagnoli, Daniel Calabrese, Shawn Callahan, Alice L Callen, Srinivasan Chandrasekharan, Glenaver Charles-Emerson, Steve Chesley, Elliott C Cheu, Hsin-Fang Chiang, James Chiang, Carol Chirino, Derek Chow, David R Ciardi, Charles F Claver, Johann Cohen-Tanugi, Joseph J Cockrum, Rebecca Coles, Andrew J Connolly, Kem H Cook, Asantha Cooray, Kevin R Covey, Chris Cribbs, Wei Cui, Roc Cutri, Philip N Daly, Scott F Daniel, Felipe Daruich, Guillaume Daubard, Greg Daues, William Dawson, Francisco Delgado, Alfred Dellapenna, Robert de Peyster, Miguel de Val-Borro, Seth W Digel, Peter Doherty, Richard Dubois, Gregory P Dubois-Felsmann, Josef Durech, Frossie Economou, Michael Eracleous, Henry Ferguson, Enrique Figueroa, Merlin Fisher-Levine, Warren Focke, Michael D Foss, James Frank, Michael D Freemon, Emmanuel Gangler, Eric Gawiser, John C Geary, Perry Gee, Marla Geha, Charles JB Gessner, Robert R Gibson, D Kirk Gilmore, Thomas Glanzman, William Glick, Tatiana Goldina, Daniel A Goldstein, Iain Goodenow, Melissa L Graham, William J Gressler, Philippe Gris, Leanne P Guy, Augustin Guyonnet, Gunther Haller, Ron Harris, Patrick A Hascall, Justine Haupt, Fabio Hernandez, Sven Herrmann, Edward Hileman, Joshua Hoblitt, John A Hodgson, Craig Hogan, Dajun Huang, Michael E Huffer, Patrick Ingraham, Walter R Innes, Suzanne H Jacoby, Bhuvnesh Jain, Fabrice Jammes, James Jee, Tim Jenness, Garrett Jernigan, Darko Jevremović, Kenneth Johns, Anthony S Johnson, Margaret WG Johnson, R Lynne Jones, Claire Juramy-Gilles, Mario Jurić, Jason S Kalirai, Nitya J Kallivayalil, Bryce Kalmbach, Jeffrey P Kantor, Pierre Karst, Mansi M Kasliwal, Heather Kelly, Richard Kessler, Veronica Kinnison, David Kirkby, Lloyd Knox, Ivan V Kotov, Victor L Krabbendam, K Simon Krughoff, Petr Kubánek, John Kuczewski, Shri Kulkarni, John Ku, Nadine R Kurita, Craig S Lage, Ron Lambert, Travis Lange, J Brian Langton, Laurent Le Guillou, Deborah Levine, Ming Liang, Kian-Tat Lim, Chris J Lintott, Kevin E Long, Margaux Lopez, Paul J Lotz, Robert H Lupton, Nate B Lust, Lauren A MacArthur, Ashish Mahabal, Rachel Mandelbaum, Darren S Marsh, Philip J Marshall, Stuart Marshall, Morgan May, Robert McKercher, Michelle McQueen, Joshua Meyers, Myriam Migliore, Michelle Miller, David J Mills, Connor Miraval, Joachim Moeyens, David G Monet, Marc Moniez, Serge Monkewitz, Christopher Montgomery, Fritz Mueller, Gary P Muller, Freddy Muñoz Arancibia, Douglas R Neill, Scott P Newbry, Jean-Yves Nief, Andrei Nomerotski, Martin Nordby, Paul O'Connor, John Oliver, Scot S Olivier, Knut Olsen, William O'Mullane, Sandra Ortiz, Shawn Osier, Russell E Owen, Reynald Pain, Paul E Palecek, John K Parejko, James B Parsons, Nathan M Pease, J Matt Peterson, John R Peterson, Donald L Petravick, ME Libby Petrick, Cathy E Petry, Francesco Pierfederici, Stephen Pietrowicz, Rob Pike, Philip A Pinto, Raymond Plante, Stephen Plate, Paul A Price, Michael Prouza, Veljko Radeka, Jayadev Rajagopal, Andrew P Rasmussen, Nicolas Regnault, Kevin A Reil, David J Reiss, Michael A Reuter, Stephen T Ridgway, Vincent J Riot, Steve Ritz, Sean Robinson, William Roby, Aaron Roodman, Wayne Rosing, Cecille Roucelle, Matthew R Rumore, Stefano Russo, Abhijit Saha, Benoit Sassolas, Terry L Schalk, Pim Schellart, Rafe H Schindler, Samuel Schmidt, Donald P Schneider, Michael D Schneider, William Schoening, German Schumacher, Megan E Schwamb, Jacques Sebag, Brian Selvy, Glenn H Sembroski, Lynn G Seppala, Andrew Serio, Eduardo Serrano, Richard A Shaw, Ian Shipsey, Jonathan Sick, Nicole Silvestri, Colin T Slater, J Allyn Smith, R Chris Smith, Shahram Sobhani, Christine Soldahl, Lisa Storrie-Lombardi, Edward Stover, Michael A Strauss, Rachel A Street, Christopher W Stubbs, Ian S Sullivan, Donald Sweeney, John D Swinbank, Alexander Szalay, Peter Takacs, Stephen A Tether, Jon J Thaler, John Gregg Thayer, Sandrine Thomas, Vaikunth Thukral, Jeffrey Tice, David E Trilling, Max Turri, Richard Van Berg, Daniel Vanden Berk, Kurt Vetter, Francoise Virieux, Tomislav Vucina, William Wahl, Lucianne Walkowicz, Brian Walsh, Christopher W Walter, Daniel L Wang, Shin-Yawn Wang, Michael Warner, Oliver Wiecha, Beth Willman, Scott E Winters, David Wittman, Sidney C Wolff, W Michael Wood-Vasey, Xiuqin Wu, Bo Xin, Peter Yoachim, Hu Zhan

MUSE: A second-generation integral-field spectrograph for the VLT

ESO Astrophysics Symposia 2008 (2008) 325-336

Authors:

RM Mcdermid, R Bacon, S Bauer, P Boehm, D Boudon, S Brau-Nogué, P Caillier, L Capoani, CM Carollo, N Champavert, T Contini, E Daguisé, B Delabre, J Devriendt, S Dreizler, J Dubois, M Dupieux, JP Dupin, E Emsellem, P Ferruit, M Franx, G Gallou, J Gerssen, B Guiderdoni, T Hahn, D Hofmann, A Jarno, A Kelz, C Koehler, W Kollatschny, J Kosmalski, F Laurent, SJ Lilly, JL Lizon, M Loupias, A Manescau, C Monstein, H Nicklas, L Parès, L Pasquini, A Pécontal-rousset, E Pécontal, R Pello, C Petit, JP Picat, E Popow, A Quirrenbach, R Reiss, E Renault, M Roth, J Schaye, G Soucail, M Steinmetz, S Stroebele, R Stuik, P Weilbacher, L Wisotzki, H Wozniak, PT de Zeeuw

Abstract:

The Multi Unit Spectroscopic Explorer (MUSE) is a second-generation instrument in development for the Very Large Telescope (VLT) of the European Southern Observatory (ESO), due to begin operation in 2011/12. MUSE will be an extremely powerful integral-field spectrograph fed by a new multiple-laser adaptive optics system on the VLT. In its usual operating mode, MUSE will, in a single observation, produce a 3-dimensional data cube consisting of 90,000 R 3000 spectra, each covering a full spectral octave (480-930 nm), and fully sampling a contiguous 1×1 arcmin2 field with 0.2×0.2 arcsec2 apertures. A high-resolution mode will increase the spatial sampling to 0.025 arcsec per pixel. MUSE is built around a novel arrangement of 24 identical spectrographs (each comparable to a 1st generation VLT instrument), which are fed by a set of 24 precision image slicers. MUSE is designed for stability, with only 2 modes, and virtually no moving parts, allowing very long exposures to be accumulated. Together with high throughput, this ensures that MUSE will have extreme sensitivity for observing faint objects. We overview the technical and scientific aspects of MUSE, highlighting the key challenges for dealing with the unprecedented quantity and complexity of the data, and the integration with the VLT adaptive optics facility (AOF) - a key development on the path to extremely large telescopes (ELTs). © 2008 Springer-Verlag Berlin Heidelberg.

An absorption origin for the X-ray spectral variability of MCG-6-30-15

Astronomy and Astrophysics 483:2 (2008) 437-452

Authors:

L Miller, TJ Turner, JN Reeves

Abstract:

Context. The Seyfert I galaxy MCG-6-30-15 shows one of the best examples of a broad "red wing" of emission in its X-ray spectrum at energies 2 ≤ E ≤ 6.4 keV, commonly interpreted as being caused by relativistically-blurred reflection close to the event horizon of the black hole. Aims. We aim to test an alternative model in which absorption creates the observed spectral shape, explains the puzzling lack of variability of the red wing and reduces the high reflection albedo, substantially greater than unity, that is otherwise inferred at energies E ≥ 20keV. Methods. We compiled all the available long-exposure, high-quality data for MCG-6-30-15: 522 ks of Chandra HETGS, 282ks of XMM-Newton PN/RGS and 253 ks of Suzaku XIS/PIN data. This is the first analysis of this full dataset. We investigated the spectral variability on timescales ≥ ks using principal components analysis and fitted spectral models to "flux state" and mean spectra over the energy range 0.5-45 keV (depending on detector). The absorber model was based on the zones previously identified in the high-resolution grating data. Joint fits were carried out to any data that were simultaneous. Results. Multiple absorbing zones covering a wide range of ionisation are required by the grating data, including a highly ionised outflowing zone. A variable partial-covering zone plus absorbed low-ionisation reflection, distant from the source, provides a complete description of the variable X-ray spectrum. A single model fits all the data. We conclude that these zones are responsible for the red wing, its apparent lack of variability, the absorption structure around the FeKα line, the soft-band "excess" and the high flux seen in the hard X-ray band. A relativistically-blurred Fe line is not required in this model. We suggest the partial covering zone is a clumpy wind from the accretion disk . © 2008 ESO.

Tracing a disk wind in NGC 3516

Astronomy and Astrophysics 483:1 (2008) 161-169

Authors:

TJ Turner, JN Reeves, SB Kraemer, L Miller

Abstract:

Context. X-ray spectra of AGN often contain signatures indicative of absorption in multiple layers of gas whose ionization-state and covering fraction may vary with time. It has been unclear to date how much of the observed X-ray spectral and timing behavior in AGN can be attributed to variations in absorption, versus variations in the strengths of emission or reflection components. Diagnostics of the inner regions of AGN cannot be reliably performed until the origin of observed effects is understood. Aims. We investigate the role of the X-ray absorbers in the Seyfert 1 galaxy NGC 3516.Methods. Time-averaged and flux-selected spectroscopy is used to examine the behavior of NGC 3516 observed in Chandra HETG and XMM data from Oct. 2006. Results. New H-like and He-like emission and absorption features discovered in the Fe K regime reveal a previously unknown zone of circumnuclear gas in NGC 3516 with log and column density ~. A lower-ionization layer with log and of similar column density is confirmed from previous observations, this layer has a covering fraction around 50%, and changes in covering provide a simple explanation of a deep dip in the light curve that we interpret as an eclipse of the continuum due to passage of a cloud across the sight line within half a day. These inner zones of absorbing gas are detected to have outflow velocities in the range kms, this, and constraints on radial location are consistent with an origin as part of a disk wind in NGC 3516. . © 2008 ESO.

Galaxy Zoo : Morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey

ArXiv 0804.4483 (2008)

Authors:

Chris J Lintott, Kevin Schawinski, Anze Slosar, Kate Land, Steven Bamford, Daniel Thomas, M Jordan Raddick, Robert C Nichol, Alex Szalay, Dan Andreescu, Phil Murray, Jan van den Berg

Abstract:

In order to understand the formation and subsequent evolution of galaxies one must first distinguish between the two main morphological classes of massive systems: spirals and early-type systems. This paper introduces a project, Galaxy Zoo, which provides visual morphological classifications for nearly one million galaxies, extracted from the Sloan Digital Sky Survey (SDSS). This achievement was made possible by inviting the general public to visually inspect and classify these galaxies via the internet. The project has obtained more than 40,000,000 individual classifications made by ~100,000 participants. We discuss the motivation and strategy for this project, and detail how the classifications were performed and processed. We find that Galaxy Zoo results are consistent with those for subsets of SDSS galaxies classified by professional astronomers, thus demonstrating that our data provides a robust morphological catalogue. Obtaining morphologies by direct visual inspection avoids introducing biases associated with proxies for morphology such as colour, concentration or structual parameters. In addition, this catalogue can be used to directly compare SDSS morphologies with older data sets. The colour--magnitude diagrams for each morphological class are shown, and we illustrate how these distributions differ from those inferred using colour alone as a proxy for morphology.