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Author: Steinmetz, Matthias × End date: 2019 × WGL Institute: AIP ×

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    MUSE crowded field 3D spectroscopy in NGC 300 : I. First results from central fields
    (Les Ulis : EDP Sciences, 2018) Roth, Martin M.; Sandin, Christer; Kamann, Sebastian; Husser, Tim-Oliver; Weilbacher, Peter M.; Monreal-Ibero, Ana; Bacon, Roland; den Brok, Mark; Dreizler, Stefan; Kelz, Andreas; Marino, Raffaella Anna; Steinmetz, Matthias
    Aims. As a new approach to the study of resolved stellar populations in nearby galaxies, our goal is to demonstrate with a pilot study in NGC 300 that integral field spectroscopy with high spatial resolution and excellent seeing conditions reaches an unprecedented depth in severely crowded fields. Methods. Observations by MUSE with seven pointings in NGC 300 have resulted in data cubes that are analyzed in four ways: (1) Point spread function-fitting 3D spectroscopy with PampelMUSE, as already successfully pioneered in globular clusters, yields de-blended spectra of individually distinguishable stars, thus providing a complete inventory of blue and red supergiants, and asymptotic giant branch (AGB) stars of type M and C. The technique is also applicable to emission line point sources and provides samples of planetary nebulae (PNe) that are complete down to m5007 = 28. (2) Pseudo-monochromatic images, created at the wavelengths of the most important emission lines and corrected for continuum light with the P3D visualization tool, provide maps of HâII regions, supernova remnants (SNR), and the diffuse interstellar medium (ISM) at a high level of sensitivity, where also faint point sources stand out and allow for the discovery of PNe, Wolf-Rayet (WR) stars, etc. (3) The use of the P3D line-fitting tool yields emission line fluxes, surface brightness, and kinematic information for gaseous objects, corrected for absorption line profiles of the underlying stellar population in the case of Hα. (4) Visual inspection of the data cubes by browsing through the row-stacked spectra image in P3D is demonstrated to be efficient for data mining and the discovery of background galaxies and unusual objects. Results. We present a catalog of luminous stars, rare stars such as WR, and other emission line stars, carbon stars, symbiotic star candidates, PNe, HâII regions, SNR, giant shells, peculiar diffuse and filamentary emission line objects, and background galaxies, along with their spectra. Conclusions. The technique of crowded-field 3D spectroscopy, using the PampelMUSE code, is capable of deblending individual bright stars, the unresolved background of faint stars, gaseous nebulae, and the diffuse component of the ISM, resulting in unprecedented legacy value for observations of nearby galaxies with MUSE.
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    The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library
    (Chicago, Ill. [u.a.] : Univ. of Chicago Press, 2019) Aguado, D. S.; Ahumada, Romina; Almeida, Andrés; Anderson, Scott F.; Andrews, Brett H.; Anguiano, Borja; Ortíz, Erik Aquino; Aragón-Salamanca, Alfonso; Argudo-Fernández, Maria; Aubert, Marie; Avila-Reese, Vladimir; Seong Hwang, Ho; Ibarra-Medel, Héctor J.; Eduardo Jimenez Angel, Camilo; Johnson, Jennifer; Jones, Amy; Jönsson, Henrik; Kinemuchi, Karen; Kollmeier, Juna; Krawczyk, Coleman; Kreckel, Kathryn; Badenes, Carles; Kruk, Sandor; Lacerna, Ivan; Lan, Ting-Wen; Lane, Richard R.; Law, David R.; Lee, Young-Bae; Li, Cheng; Lian, Jianhui; Lin, Lihwai; Lin, Yen-Ting; Barboza Rembold, Sandro; Lintott, Chris; Long, Dan; Longa-Peña, Penélope; Ted Mackereth, J.; de la Macorra, Axel; Majewski, Steven R.; Malanushenko, Olena; Manchado, Arturo; Maraston, Claudia; Mariappan, Vivek; Barger, Kat; Marinelli, Mariarosa; Marques-Chaves, Rui; Masseron, Thomas; Masters, Karen L.; McDermid, Richard M.; Medina Peña, Nicolás; Meneses-Goytia, Sofia; Merloni, Andrea; Merrifield, Michael; Meszaros, Szabolcs; Barrera-Ballesteros, Jorge; Minniti, Dante; Minsley, Rebecca; Muna, Demitri; Myers, Adam D.; Nair, Preethi; Correa do Nascimento, Janaina; Newman, Jeffrey A.; Nitschelm, Christian; Olmstead, Matthew D; Oravetz, Audrey; Bates, Dominic; Oravetz, Daniel; Ortega Minakata, René A.; Pace, Zach; Padilla, Nelson; Palicio, Pedro A.; Pan, Kaike; Pan, Hsi-An; Parikh, Taniya; Parker, James; Peirani, Sebastien; Bautista, Julian; Penny, Samantha; Percival, Will J.; Perez-Fournon, Ismael; Peterken, Thomas; Pinsonneault, Marc H.; Prakash, Abhishek; Raddick, M. Jordan; Raichoor, Anand; Riffel, Rogemar A.; Riffel, Rogério; Beaton, Rachael L.; Rix, Hans-Walter; Robin, Annie C.; Roman-Lopes, Alexandre; Rose, Benjamin; Ross, Ashley J.; Rossi, Graziano; Rowlands, Kate; Rubin, Kate H. R.; Sánchez, Sebastián F.; Sánchez-Gallego, José R.; Beers, Timothy C.; Sayres, Conor; Schaefer, Adam; Schiavon, Ricardo P.; Schimoia, Jaderson S.; Schlafly, Edward; Schlegel, David; Schneider, Donald P.; Schultheis, Mathias; Seo, Hee-Jong; Shamsi, Shoaib J.; Belfiore, Francesco; Shao, Zhengyi; Shen, Shiyin; Shetty, Shravan; Simonian, Gregory; Smethurst, Rebecca J.; Sobeck, Jennifer; Souter, Barbara J.; Spindler, Ashley; Stark, David V.; Stassun, Keivan G.; Bernardi, Mariangela; Steinmetz, Matthias; Storchi-Bergmann, Thaisa; Stringfellow, Guy S.; Suárez, Genaro; Sun, Jing; Taghizadeh-Popp, Manuchehr; Talbot, Michael S.; Tayar, Jamie; Thakar, Aniruddha R.; Thomas, Daniel; Bershady, Matthew; Tissera, Patricia; Tojeiro, Rita; Troup, Nicholas W.; Unda-Sanzana, Eduardo; Valenzuela, Octavio; Vargas-Magaña, Mariana; Antonio Vázquez-Mata, José; Wake, David; Alan Weaver, Benjamin; Weijmans, Anne-Marie; Beutler, Florian; Westfall, Kyle B.; Wild, Vivienne; Wilson, John; Woods, Emily; Yan, Renbin; Yang, Meng; Zamora, Olga; Zasowski, Gail; Zhang, Kai; Zheng, Zheng; Bird, Jonathan; Zheng, Zheng; Zhu, Guangtun; Zinn, Joel C.; Zou, Hu; Bizyaev, Dmitry; Blanc, Guillermo A.; Blanton, Michael R.; Blomqvist, Michael; Bolton, Adam S.; Boquien, Médéric; Borissova, Jura; Bovy, Jo; Nielsen Brandt, William; Brinkmann, Jonathan; Brownstein, Joel R.; Bundy, Kevin; Burgasser, Adam; Byler, Nell; Cano Diaz, Mariana; Cappellari, Michele; Carrera, Ricardo; Cervantes Sodi, Bernardo; Chen, Yanping; Cherinka, Brian; Doohyun Choi, Peter; Chung, Haeun; Coffey, Damien; Comerford, Julia M.; Comparat, Johan; Covey, Kevin; da Silva Ilha, Gabriele; da Costa, Luiz; Sophia Dai, Yu; Damke, Guillermo; Darling, Jeremy; Davies, Roger; Dawson, Kyle; de Sainte Agathe, Victoria; Deconto Machado, Alice; Del Moro, Agnese; De Lee, Nathan; Diamond-Stanic, Aleksandar M.; Domínguez Sánchez, Helena; Donor, John; Drory, Niv; du Mas des Bourboux, Hélion; Duckworth, Chris; Dwelly, Tom; Ebelke, Garrett; Emsellem, Eric; Escoffier, Stephanie; Fernández-Trincado, José G.; Feuillet, Diane; Fischer, Johanna-Laina; Fleming, Scott W.; Fraser-McKelvie, Amelia; Freischlad, Gordon; Frinchaboy, Peter M.; Fu, Hai; Galbany, Lluís; Garcia-Dias, Rafael; García-Hernández, D. A.; Alberto Garma Oehmichen, Luis; Antonio Geimba Maia, Marcio; Gil-Marín, Héctor; Grabowski, Kathleen; Gu, Meng; Guo, Hong; Ha, Jaewon; Harrington, Emily; Hasselquist, Sten; Hayes, Christian R.; Hearty, Fred; Hernandez Toledo, Hector; Hicks, Harry; Hogg, David W.; Holley-Bockelmann, Kelly; Holtzman, Jon A.; Hsieh, Bau-Ching; Hunt, Jason A. S.
    Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July–2017 July). This is the third data release for SDSS-IV, and the 15th from SDSS (Data Release Fifteen; DR15). New data come from MaNGA—we release 4824 data cubes, as well as the first stellar spectra in the MaNGA Stellar Library (MaStar), the first set of survey-supported analysis products (e.g., stellar and gas kinematics, emission-line and other maps) from the MaNGA Data Analysis Pipeline, and a new data visualization and access tool we call "Marvin." The next data release, DR16, will include new data from both APOGEE-2 and eBOSS; those surveys release no new data here, but we document updates and corrections to their data processing pipelines. The release is cumulative; it also includes the most recent reductions and calibrations of all data taken by SDSS since first light. In this paper, we describe the location and format of the data and tools and cite technical references describing how it was obtained and processed. The SDSS website (www.sdss.org) has also been updated, providing links to data downloads, tutorials, and examples of data use. Although SDSS-IV will continue to collect astronomical data until 2020, and will be followed by SDSS-V (2020–2025), we end this paper by describing plans to ensure the sustainability of the SDSS data archive for many years beyond the collection of data.
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    Spektroskopische Datenreduktion und detaillierter "First Look" : Beitrag für Gaia CU6 ; Abschlussbericht für den AIP Beitrag zur Entwicklung der Gaia Datenreduktionspipeline ; GAIA: Datenauswertung des Radialgeschwindigkeitsspektrometer-Instruments
    (Hannover : Technische Informationsbibliothek (TIB), 2011) Steinmetz, Matthias; Janßen, Katja; Gerssen, Joris; de Jong, Roelof
    [no abstract available]