71 results on '"Budavári, Tamás"'
Search Results
2. Data integration for materials research
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Carey, Nicholas S., Budavári, Tamás, Daphalapurkar, Nitin, and Ramesh, K. T.
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- 2016
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3. Efficient Catalog Matching with Dropout Detection
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Fan, Dongwei, Budavári, Tamás, Szalay, Alexander S., Cui, Chenzhou, and Zhao, Yongheng
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- 2013
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4. Searchable Sky Coverage of Astronomical Observations: Footprints and Exposures
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Budavári, Tamás, Szalay, Alexander S., and Fekete, György
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- 2010
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5. Probabilistic Association of Transients to their Hosts (PATH).
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Aggarwal, Kshitij, Budavári, Tamás, Deller, Adam T., Eftekhari, Tarraneh, James, Clancy W., Prochaska, J. Xavier, and Tendulkar, Shriharsh P.
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GAMMA ray bursts , *GRAVITATIONAL waves , *BAYES' theorem , *SOLAR radio bursts , *GALAXIES - Abstract
We introduce a new method to estimate the probability that an extragalactic transient source is associated with a candidate host galaxy. This approach relies solely on simple observables: sky coordinates and their uncertainties, galaxy fluxes, and angular sizes. The formalism invokes Bayes' rule to calculate the posterior probability from the galaxy prior P(O), observables x, and an assumed model for the true distribution of transients in/around their host galaxies. Using simulated transients placed in the well-studied Cosmic Evolution Survey field, we consider several agnostic and physically motivated priors and offset distributions to explore the method sensitivity. We then apply the methodology to the set of 13 fast radio bursts (FRBs) localized with an uncertainty of several arcseconds. Our methodology finds nine of these are securely associated to a single host galaxy,. We examine the observed and intrinsic properties of these secure FRB hosts, recovering distributions similar to those found in previous works. Furthermore, we find a strong correlation between the apparent magnitude of the securely identified host galaxies and the estimated cosmic dispersion measures of the corresponding FRBs, which results from the Macquart relation. Future work with FRBs will leverage this relation and other measures from the secure hosts as priors for future associations. The methodology is generic to transient type, localization error, and image quality. We encourage its application to other transients where host galaxy associations are critical to the science, e.g., gravitational wave events, gamma-ray bursts, and supernovae. We have encoded the technique in Python on GitHub: https://github.com/FRBs/astropath. [ABSTRACT FROM AUTHOR]
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- 2021
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6. Optimal probabilistic catalogue matching for radio sources.
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Fan, Dongwei, Budavári, Tamás, Norris, Ray P, and Basu, Amitabh
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RADIOS , *CATALOGS , *RADIO galaxies , *ALGORITHMS , *WAVELENGTHS , *EYE - Abstract
Cross-matching catalogues from radio surveys to catalogues of sources at other wavelengths is extremely hard, because radio sources are often extended, often consist of several spatially separated components, and often no radio component is coincident with the optical/infrared host galaxy. Traditionally, the cross-matching is done by eye, but this does not scale to the millions of radio sources expected from the next generation of radio surveys. We present an innovative automated procedure, using Bayesian hypothesis testing, that models trial radio-source morphologies with putative positions of the host galaxy. This new algorithm differs from an earlier version by allowing more complex radio-source morphologies, and performing a simultaneous fit over a large field. We show that this technique performs well in an unsupervised mode. [ABSTRACT FROM AUTHOR]
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- 2020
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7. Computational tools for the spectroscopic analysis of white dwarfs.
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Chandra, Vedant, Hwang, Hsiang-Chih, Zakamska, Nadia L, and Budavári, Tamás
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WHITE dwarf stars ,ARTIFICIAL neural networks ,ASTRONOMICAL surveys ,SURFACE temperature - Abstract
The spectroscopic features of white dwarfs are formed in the thin upper layer of their stellar photosphere. These features carry information about the white dwarf's surface temperature, surface gravity, and chemical composition (hereafter 'labels'). Existing methods to determine these labels rely on complex ab-initio theoretical models, which are not always publicly available. Here, we present two techniques to determine atmospheric labels from white dwarf spectra: a generative fitting pipeline that interpolates theoretical spectra with artificial neural networks and a random forest regression model using parameters derived from absorption line features. We test and compare our methods using a large catalogue of white dwarfs from the Sloan Digital Sky Survey (SDSS), achieving the same accuracy and negligible bias as compared to previous studies. We package our techniques into an open-source python module ' wdtools ' that provides a computationally inexpensive way to determine stellar labels from white dwarf spectra observed from any facility. We will actively develop and update our tool as more theoretical models become publicly available. We discuss applications of our tool in its present form to identify interesting outlier white dwarf systems including those with magnetic fields, helium-rich atmospheres, and double-degenerate binaries. [ABSTRACT FROM AUTHOR]
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- 2020
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8. Photometric redshifts for the SDSS Data Release 12.
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Beck, Róbert, Dobos, László, Budavári, Tamás, Szalay, Alexander S., and Csabai, István
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REDSHIFT ,PHOTOMETRIC stereo ,SPECTROSCOPIC imaging ,GALAXIES - Abstract
We present the methodology and data behind the photometric redshift data base of the Sloan Digital Sky Survey (SDSS) Data Release 12. We adopt a hybrid technique, empirically estimating the redshift via local regression on a spectroscopic training set, then fitting a spectrum template to obtain K-corrections and absolute magnitudes. The SDSS spectroscopic catalogue was augmented with data from other, publicly available spectroscopic surveys to mitigate target selection effects. The training set is comprised of 1976 978 galaxies, and extends up to redshift z ≈ 0.8, with a useful coverage of up to z ≈ 0.6. We provide photometric redshifts and realistic error estimates for the 208 474 076 galaxies of the SDSS primary photometric catalogue. We achieve an average bias of Δz
norm = 5.84 × 10-5 , a standard deviation of σ(Δznorm ) = 0.0205, and a 3σ outlier rate of Po = 4.11 per cent when cross-validating on our training set. The published redshift error estimates and photometric error classes enable the selection of galaxies with high-quality photometric redshifts. We also provide a supplementary error map that allows additional, sophisticated filtering of the data. [ABSTRACT FROM AUTHOR]- Published
- 2016
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9. Exploring the SDSS photometric galaxies with clustering redshifts.
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Rahman, Mubdi, Mendez, Alexander J., Ménard, Brice, Scranton, Ryan, Schmidt, Samuel J., Morrison, Christopher B., and Budavári, Tamás
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PHOTOMETRIC stereo ,CLUSTERING of particles ,REDSHIFT ,SPECTRAL energy distribution - Abstract
We apply clustering-based redshift inference to all extended sources from the Sloan Digital Sky Survey photometric catalogue, down to magnitude r = 22. We map the relationships between colours and redshift, without assumption of the sources' spectral energy distributions (SEDs). We identify and locate star-forming quiescent galaxies, and active galactic nuclei, as well as colour changes due to spectral features, such as the 4000Å break, redshifting through specific filters. Our mapping is globally in good agreement with colour-redshift tracks computed with SED templates, but reveals informative differences, such as the need for a lower fraction of M-type stars in certain templates. We compare our clustering-redshift estimates to photometric redshifts and find these two independent estimators to be in good agreement at each limiting magnitude considered. Finally, we present the global clustering-redshift distribution of all Sloan extended sources, showing objects up to z ∼ 0.8. While the overall shape agrees with that inferred from photometric redshifts, the clustering-redshift technique results in a smoother distribution, with no indication of structure in redshift space suggested by the photometricredshift estimates (likely artefacts imprinted by their spectroscopic training set).We also infer a higher fraction of high-redshift objects. The mapping between the four observed colours and redshift can be used to estimate the redshift probability distribution function of individual galaxies. Thiswork is an initial step towards producing a general mapping between redshift and all available observables in the photometric space, including brightness, size, concentration, and ellipticity. [ABSTRACT FROM AUTHOR]
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- 2016
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10. OBJECTIVE IDENTIFICATION OF INFORMATIVE WAVELENGTH REGIONS IN GALAXY SPECTRA.
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Yip, Ching-Wa, Mahoney, Michael W., Szalay, Alexander S., Csabai, István, Budavári, Tamás, Wyse, Rosemary F. G., and Dobos, Laszlo
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- 2014
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11. Radio Continuum Surveys with Square Kilometre Array Pathfinders.
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Norris, Ray P., Afonso, J., Bacon, D., Beck, Rainer, Bell, Martin, Beswick, R. J., Best, Philip, Bhatnagar, Sanjay, Bonafede, Annalisa, Brunetti, Gianfranco, Budavári, Tamás, Cassano, Rossella, Condon, J. J., Cress, Catherine, Dabbech, Arwa, Feain, I., Fender, Rob, Ferrari, Chiara, Gaensler, B. M., and Giovannini, G.
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- 2013
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12. A high-resolution atlas of composite Sloan Digital Sky Survey galaxy spectra.
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Dobos, László, Csabai, István, Yip, Ching-Wa, Budavári, Tamás, Wild, Vivienne, and Szalay, Alexander S.
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GALAXY spectra ,STAR colors ,STAR formation ,ALGORITHMS ,STELLAR populations ,DISTRIBUTION (Probability theory) ,PARAMETER estimation ,REDSHIFT - Abstract
ABSTRACT In this work we present an atlas of composite spectra of galaxies based on the data of the Sloan Digital Sky Survey Data Release 7 (SDSS DR7). Galaxies are classified by colour, nuclear activity and star formation activity to calculate average spectra of high signal-to-noise ratio (S/N) and resolution ( at Δλ= 1 Å), using an algorithm that is robust against outliers. Besides composite spectra, we also compute the first five principal components of the distributions in each galaxy class to characterize the nature of variations of individual spectra around the averages. The continua of the composite spectra are fitted with BC03 stellar population synthesis models to extend the wavelength coverage beyond the coverage of the SDSS spectrographs. Common derived parameters of the composites are also calculated: integrated colours in the most popular filter systems, line-strength measurements and continuum absorption indices (including Lick indices). These derived parameters are compared with the distributions of parameters of individual galaxies, and it is shown on many examples that the composites of the atlas cover much of the parameter space spanned by SDSS galaxies. By co-adding thousands of spectra, a total integration time of several months can be reached, which results in extremely low noise composites. The variations in redshift not only allow for extending the spectral coverage bluewards to the original wavelength limit of the SDSS spectrographs, but also make higher spectral resolution achievable. The composite spectrum atlas is available online at . [ABSTRACT FROM AUTHOR]
- Published
- 2012
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13. The GALEX Arecibo SDSS Survey - II. The star formation efficiency of massive galaxies.
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Schiminovich, David, Catinella, Barbara, Kauffmann, Guinevere, Fabello, Silvia, Jing Wang, Hummels, Cameron, Lemonias, Jenna, Moran, Sean M., Wu, Ronin, Giovanelli, Riccardo, Haynes, Martha P., Heckman, Timothy M., Basu-Zych, Antara R., Blanton, Michael R., Brinchmann, Jarle, Budavári, Tamás, Gonçalves, Thiago, Johnson, Benjamin D., Kennicutt, Robert C., and Madore, Barry F.
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STAR formation ,STELLAR mass ,GALAXIES ,ASTRONOMY ,SPACE sciences - Abstract
We use measurements of the H i content, stellar mass and star formation rates (SFRs) in ∼190 massive galaxies with M
★ > 1010 M⊙ , obtained from the GALEX ( Galaxy Evolution Explorer) Arecibo SDSS (Sloan Digital Sky Survey) survey described in Paper I to explore the global scaling relations associated with the bin-averaged ratio of the SFR over the H i mass (i.e. ΣSFR/Σ MHi ), which we call the H i-based star formation efficiency (SFE). Unlike the mean specific star formation rate (sSFR), which decreases with stellar mass and stellar mass surface density, the SFE remains relatively constant across the sample with a value close to SFE = 10−9.5 yr−1 (or an equivalent gas consumption time-scale of ∼3 × 109 yr). Specifically, we find little variation in SFE with stellar mass, stellar mass surface density, NUV − r colour and concentration ( R90 / R50 ). We interpret these results as an indication that external processes or feedback mechanisms that control the gas supply are important for regulating star formation in massive galaxies. An investigation into the detailed distribution of SFEs reveals that approximately 5 per cent of the sample shows high efficiencies with SFE > 10−9 yr−1 , and we suggest that this is very likely due to a deficiency of cold gas rather than an excess SFR. Conversely, we also find a similar fraction of galaxies that appear to be gas-rich for their given sSFR, although these galaxies show both a higher than average gas fraction and lower than average sSFR. Both of these populations are plausible candidates for 'transition' galaxies, showing potential for a change (either decrease or increase) in their sSFR in the near future. We also find that 36 ± 5 per cent of the total H i mass density and 47 ± 5 per cent of the total SFR density are found in galaxies with M★ > 1010 M⊙ . [ABSTRACT FROM AUTHOR]- Published
- 2010
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14. CROSS IDENTIFICATION OF STARS WITH UNKNOWN PROPER MOTIONS.
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Kerekes, Gyöngyi, Budavári, Tamás, Csabai, István, Connolly, Andrew J., and Szalay, Alexander S.
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- 2010
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15. The GALEX Arecibo SDSS Survey – I. Gas fraction scaling relations of massive galaxies and first data release.
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Catinella, Barbara, Schiminovich, David, Kauffmann, Guinevere, Fabello, Silvia, Jing Wang, Hummels, Cameron, Lemonias, Jenna, Moran, Sean M., Wu, Ronin, Giovanelli, Riccardo, Haynes, Martha P., Heckman, Timothy M., Basu-Zych, Antara R., Blanton, Michael R., Brinchmann, Jarle, Budavári, Tamás, Gonçalves, Thiago, Johnson, Benjamin D., Kennicutt, Robert C., and Madore, Barry F.
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SURVEYS ,ASTRONOMY ,GALAXIES ,STELLAR mass ,DENSITY of stars - Abstract
We introduce the GALEX Arecibo SDSS Survey (GASS), an on-going large programme that is gathering high quality H i-line spectra using the Arecibo radio telescope for an unbiased sample of ∼1000 galaxies with stellar masses greater than and redshifts , selected from the Sloan Digital Sky Survey (SDSS) spectroscopic and Galaxy Evolution Explorer ( GALEX) imaging surveys. The galaxies are observed until detected or until a low gas mass fraction limit (1.5–5 per cent) is reached. This paper presents the first Data Release, consisting of ∼20 per cent of the final GASS sample. We use this data set to explore the main scaling relations of the H i gas fraction with galaxy structure and colour. A large fraction (∼60 per cent) of the galaxies in our sample are detected in H i. Even at stellar masses above , the detected fraction does not fall below ∼40 per cent. We find that the atomic gas fraction decreases strongly with stellar mass, stellar surface mass density and colour, but is only weakly correlated with the galaxy bulge-to-disc ratio (as measured by the concentration index of the r-band light). We also find that the fraction of galaxies with significant (more than a few per cent) H i decreases sharply above a characteristic stellar surface mass density of . The fraction of gas-rich galaxies decreases much more smoothly with stellar mass. One of the key goals of GASS is to identify and quantify the incidence of galaxies that are transitioning between the blue, star-forming cloud and the red sequence of passively evolving galaxies. Likely transition candidates can be identified as outliers from the mean scaling relations between and other galaxy properties. We have fitted a plane to the two-dimensional relation between the H i mass fraction, stellar surface mass density and colour. Interesting outliers from this plane include gas-rich red sequence galaxies that may be in the process of regrowing their discs, as well as blue, but gas-poor spirals. [ABSTRACT FROM AUTHOR]
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- 2010
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16. EXTINCTION IN STAR-FORMING DISK GALAXIES FROM INCLINATION-DEPENDENT COMPOSITE SPECTRA.
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Yip, Ching-Wa, Szalay, Alex S., Wyse, Rosemary F. G., Dobos, László, Budavári, Tamás, and Csabai, Istvan
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- 2010
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17. Reliable eigenspectra for new generation surveys.
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Budavári, Tamás, Wild, Vivienne, Szalay, Alexander S., Dobos, Lászl, and Yip, Ching-Wa
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ABSORPTION spectra , *SPECTROGRAPHS , *ROBUST statistics , *SURVEYS , *ALGORITHMS , *SPECTRUM analysis , *OUTLIERS (Statistics) - Abstract
We present a novel technique to overcome the limitations of the applicability of principal component analysis to typical real-life data sets, especially astronomical spectra. Our new approach addresses the issues of outliers, missing information, large number of dimensions and the vast amount of data by combining elements of robust statistics and recursive algorithms that provide improved eigensystem estimates step by step. We develop a generic mechanism for deriving reliable eigenspectra without manual data censoring, while utilizing all the information contained in the observations. We demonstrate the power of the methodology on the attractive collection of the Visible Imaging Multi-Object Spectrograph (VIMOS) Very Large Telescope (VLT) Deep Survey spectra that manifest most of the challenges today, and highlight the improvements over previous workarounds, as well as the scalability of our approach to collections with sizes of the Sloan Digital Sky Survey and beyond. [ABSTRACT FROM AUTHOR]
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- 2009
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18. Calibrating photometric redshifts of luminous red galaxies.
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Padmanabhan, Nikhil, Budavári, Tamás, Schlegel, David J., Bridges, Terry, Brinkmann, Jonathan, Cannon, Russell, Connolly, Andrew J., Croom, Scott M., Csabai, István, Drinkwater, Michael, Eisenstein, Daniel J., Hewett, Paul C., Loveday, Jon, Nichol, Robert C., Pimbblet, Kevin A., De Propris, Roberto, Schneider, Donald P., Scranton, Ryan, Seljak, Uroš, and Shanks, Tom
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REDSHIFT , *PHOTOMETRY , *SURVEYS , *CATALOGS , *GALAXIES , *ASTROPHYSICS - Abstract
We discuss the construction of a photometric redshift catalogue of luminous red galaxies (LRGs) from the Sloan Digital Sky Survey (SDSS), emphasizing the principal steps necessary for constructing such a catalogue: (i) photometrically selecting the sample, (ii) measuring photometric redshifts and their error distributions, and (iii) estimating the true redshift distribution. We compare two photometric redshift algorithms for these data and find that they give comparable results. Calibrating against the SDSS and SDSS–2dF (Two Degree Field) spectroscopic surveys, we find that the photometric redshift accuracy isfor redshifts less than 0.55 and worsens at higher redshift (∼ 0.06 for). These errors are caused by photometric scatter, as well as systematic errors in the templates, filter curves and photometric zero-points. We also parametrize the photometric redshift error distribution with a sum of Gaussians and use this model to deconvolve the errors from the measured photometric redshift distribution to estimate the true redshift distribution. We pay special attention to the stability of this deconvolution, regularizing the method with a prior on the smoothness of the true redshift distribution. The methods that we develop are applicable to general photometric redshift surveys. [ABSTRACT FROM AUTHOR]
- Published
- 2005
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19. The Evolution of the Global Stellar Mass Density at 0 < z < 3Based on observations taken with the NASA/ESA Hubble Space Telescope (HST), which is operated by the Association of Universities for Research in Astronomy (AURA), Inc., under NASA contract NAS 5-26555.
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Dickinson, Mark, Papovich, Casey, Ferguson, Henry C., and Budavári, Tamás
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- 2003
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20. The Sixth Data Release of the Sloan Digital Sky Survey
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Adelman‐McCarthy, Jennifer K., Agüeros, Marcel A., Allam, Sahar S., Allende Prieto, Carlos, Anderson, Kurt S.J., Anderson, Scott F., Annis, James, Bahcall, Neta A., Bailer‐Jones, C. A. L., Baldry, Ivan K., Barentine, J. C., Bassett, Bruce A., Becker, Andrew C., Beers, Timothy C., Bell, Eric F., Berlind, Andreas A., Bernardi, Mariangela, Blanton, Michael R., Bochanski, John J., Boroski, William N., Brinchmann, Jarle, Brinkmann, J., Brunner, Robert J., Budavári, Tamás, Carliles, Samuel, Carr, Michael A., Castander, Francisco J., Cinabro, David, Cool, R. J., Covey, Kevin R., Csabai, István, Cunha, Carlos E., Davenport, James R. A., Dilday, Ben, Doi, Mamoru, Eisenstein, Daniel James, Evans, Michael L., Fan, Xiaohui, Finkbeiner, Douglas, Friedman, Scott D., Frieman, Joshua A., Fukugita, Masataka, Gänsicke, Boris T., Gates, Evalyn, Gillespie, Bruce, Glazebrook, Karl, Gray, Jim, Grebel, Eva K., Gunn, James E., Gurbani, Vijay K., Hall, Patrick B., Harding, Paul, Harvanek, Michael, Hawley, Suzanne L., Hayes, Jeffrey, Heckman, Timothy M., Hendry, John S., Hindsley, Robert B., Hirata, Christopher M., Hogan, Craig J., Hogg, David W., Hyde, Joseph B., Ichikawa, Shin‐ichi, Ivezi?, ?eljko, Jester, Sebastian, Johnson, Jennifer A., Jorgensen, Anders M., Juric, Mario, Kent, Stephen M., Kessler, R., Kleinman, S. J., Knapp, G. R., Kron, Richard G., Krzesinski, Jurek, Kuropatkin, Nikolay, Lamb, Donald Q., Lampeitl, Hubert, Lebedeva, Svetlana, Lee, Young Sun, Leger, R. French, Lépine, Sébastien, Lima, Marcos, Lin, Huan, Long, Daniel C., Loomis, Craig P., Loveday, Jon, Lupton, Robert H., Malanushenko, Olena, Malanushenko, Viktor, Mandelbaum, Rachel, Margon, Bruce, Marriner, John P., Martínez‐Delgado, David, Matsubara, Takahiko, McGehee, Peregrine M., McKay, Timothy A., Meiksin, Avery, Morrison, Heather L., Munn, Jeffrey A., Nakajima, Reiko, Neilsen, Eric H. Jr., Newberg, Heidi Jo, Nichol, Robert C., Nicinski, Tom, Nieto‐Santisteban, Maria, Nitta, Atsuko, Okamura, Sadanori, Owen, Russell, Oyaizu, Hiroaki, Padmanabhan, Nikhil, Pan, Kaike, Park, Changbom, Peoples, Jr., John, Pier, Jeffrey R., Pope, Adrian C., Purger, Norbert, Raddick, M. Jordan, Re Fiorentin, Paola, Richards, Gordon T., Richmond, Michael W., Riess, Adam G., Rix, Hans‐Walter, Rockosi, Constance M., Sako, Masao, Schlegel, David J., Schneider, Donald P., Schreiber, Matthias R., Schwope, Axel D., Seljak, Uros, Sesar, Branimir, Sheldon, Erin, Shimasaku, Kazu, Sivarani, Thirupathi, Smith, J. Allyn, Snedden, Stephanie A., Steinmetz, Matthias, Strauss, Michael A., SubbaRao, Mark, Suto, Yasushi, Szalay, Alexander S., Szapudi, István, Szkody, Paula, Tegmark, Max, Thakar, Aniruddha R., Tremonti, Christy A., Tucker, Douglas L., Uomoto, Alan, Vanden Berk, Daniel E., Vandenberg, Jan, Vidrih, S., Vogeley, Michael S., Voges, Wolfgang, Vogt, Nicole P., Wadadekar, Yogesh, Weinberg, David H., West, Andrew A., White, Simon D. M., Wilhite, Brian C., Yanny, Brian, Yocum, D. R., York, Donald G., Zehavi, Idit, and Zucker, Daniel B.
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atlases ,catalogs ,surveys - Abstract
This paper describes the Sixth Data Release of the Sloan Digital Sky Survey. With this data release, the imaging of the northern Galactic cap is now complete. The survey contains images and parameters of roughly 287 million objects over 9583 deg2, including scans over a large range of Galactic latitudes and longitudes. The survey also includes 1.27 million spectra of stars, galaxies, quasars, and blank sky (for sky subtraction) selected over 7425 deg2. This release includes much more stellar spectroscopy than was available in previous data releases and also includes detailed estimates of stellar temperatures, gravities, and metallicities. The results of improved photometric calibration are now available, with uncertainties of roughly 1% in g, r, i, and z, and 2% in u, substantially better than the uncertainties in previous data releases. The spectra in this data release have improved wavelength and flux calibration, especially in the extreme blue and extreme red, leading to the qualitatively better determination of stellar types and radial velocities. The spectrophotometric fluxes are now tied to point-spread function magnitudes of stars rather than fiber magnitudes. This gives more robust results in the presence of seeing variations, but also implies a change in the spectrophotometric scale, which is now brighter by roughly 0.35 mag. Systematic errors in the velocity dispersions of galaxies have been fixed, and the results of two independent codes for determining spectral classifications and redshifts are made available. Additional spectral outputs are made available, including calibrated spectra from individual 15 minute exposures and the sky spectrum subtracted from each exposure. We also quantify a recently recognized underestimation of the brightnesses of galaxies of large angular extent due to poor sky subtraction; the bias can exceed 0.2 mag for galaxies brighter than r = 14 mag., Astronomy
- Published
- 2008
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21. The Third Data Release of the Sloan Digital Sky Survey
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Abazajian, Kevork, Adelman-McCarthy, Jennifer K., Agüeros, Marcel A., Allam, Sahar S., Anderson, Kurt S. J., Anderson, Scott F., Annis, James, Bahcall, Neta A., Baldry, Ivan K., Bastian, Steven, Berlind, Andreas, Bernardi, Mariangela, Blanton, Michael R., Bochanski, John J. Jr., Boroski, William N., Brewington, Howard J., Briggs, John W., Brinkmann, J., Brunner, Robert J., Budavári, Tamás, Carey, Larry N., Castander, Francisco J., Connolly, A. J., Covey, Kevin R., Csabai, István, Dalcanton, Julianne J., Doi, Mamoru, Dong, Feng, Eisenstein, Daniel James, Evans, Michael L., Fan, Xiaohui, Finkbeiner, Douglas, Friedman, Scott D., Frieman, Joshua A., Fukugita, Masataka, Gillespie, Bruce, Glazebrook, Karl, Gray, Jim, Grebel, Eva K., Gunn, James E., Gurbani, Vijay K., Hall, Patrick B., Hamabe, Masaru, Harbeck, Daniel, Harris, Frederick H., Harris, Hugh C., Harvanek, Michael, Hawley, Suzanne L., Hayes, Jeffrey, Heckman, Timothy M., Hendry, John S., Hennessy, Gregory S., Hindsley, Robert B., Hogan, Craig J., Hogg, David W., Holmgren, Donald J., Holtzman, Jon A., Ichikawa, Shin-ichi, Ichikawa, Takashi, Ivezic, Zeljko, Jester, Sebastian, Johnston, David E., Jorgensen, Anders M., Juri?, Mario, Kent, Stephen M., Kleinman, S. J., Knapp, G. R., Kniazev, Alexei Yu., Kron, Richard G., Krzesinski, Jurek, Lamb, Donald Q., Lampeitl, Hubert, Lee, Brian C., Lin, Huan, Long, Daniel C., Loveday, Jon, Lupton, Robert H., Mannery, Ed, Margon, Bruce, Martínez-Delgado, David, Matsubara, Takahiko, McGehee, Peregrine M., McKay, Timothy A., Meiksin, Avery, Ménard, Brice, Munn, Jeffrey A., Nash, Thomas, Neilsen, Eric H. Jr., Newberg, Heidi Jo, Newman, Peter R., Nichol, Robert C., Nicinski, Tom, Nieto-Santisteban, Maria, Nitta, Atsuko, Okamura, Sadanori, O, William, Owen, Russell, Padmanabhan, Nikhil, Pauls, George, Peoples, John, Pier, Jeffrey R., Pope, Adrian C., Pourbaix, Dimitri, Quinn, Thomas R., Raddick, M. Jordan, Richards, Gordon T., Richmond, Michael W., Rix, Hans-Walter, Rockosi, Constance M., Schlegel, David J., Schneider, Donald P., Schroeder, Joshua, Scranton, Ryan, Sekiguchi, Maki, Sheldon, Erin, Shimasaku, Kazu, Silvestri, Nicole M., Smith, J. Allyn, Smol?i?, Vernesa, Snedden, Stephanie A., Stebbins, Albert, Stoughton, Chris, Strauss, Michael A., SubbaRao, Mark, Szalay, Alexander S., Szapudi, István, Szkody, Paula, Szokoly, Gyula P., Tegmark, Max, Teodoro, Luis, Thakar, Aniruddha R., Tremonti, Christy, Tucker, Douglas L., Uomoto, Alan, Vanden Berk, Daniel E., Vandenberg, Jan, Vogeley, Michael S., Voges, Wolfgang, Vogt, Nicole P., Walkowicz, Lucianne M., Wang, Shu-i, Weinberg, David H., West, Andrew A., White, Simon D. M., Wilhite, Brian C., Xu, Yongzhong, Yanny, Brian, Yasuda, Naoki, Yip, Ching-Wa, Yocum, D. R., York, Donald G., Zehavi, Idit, Zibetti, Stefano, and Zucker, Daniel B.
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atlases ,catalogs ,surveys - Abstract
This paper describes the Third Data Release of the Sloan Digital Sky Survey (SDSS). This release, containing data taken up through 2003 June, includes imaging data in five bands over 5282 deg2, photometric and astrometric catalogs of the 141 million objects detected in these imaging data, and spectra of 528,640 objects selected over 4188 deg2. The pipelines analyzing both images and spectroscopy are unchanged from those used in our Second Data Release., Astronomy
- Published
- 2005
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22. The Second Data Release of the Sloan Digital Sky Survey
- Author
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Abazajian, Kevork, Adelman-McCarthy, Jennifer K., Agüeros, Marcel A., Allam, Sahar S., Anderson, Kurt, S. J., Anderson, Scott F., Annis, James, Bahcall, Neta A., Baldry, Ivan K., Bastian, Steven, Berlind, Andreas, Bernardi, Mariangela, Blanton, Michael R., Bochanski, John J. Jr., Boroski, William N., Briggs, John W., Brinkmann, J., Brunner, Robert J., Budavári, Tamás, Carey, Larry N., Carliles, Samuel, Castander, Francisco J., Connolly, A. J., Csabai, István, Doi, Mamoru, Dong, Feng, Eisenstein, Daniel James, Evans, Michael L., Fan, Xiaohui, Finkbeiner, Douglas, Friedman, Scott D., Frieman, Joshua A., Fukugita, Masataka, Gal, Roy R., Gillespie, Bruce, Glazebrook, Karl, Gray, Jim, Grebel, Eva K., Gunn, James E., Gurbani, Vijay K., Hall, Patrick B., Hamabe, Masaru, Harris, Frederick H., Harris, Hugh C., Harvanek, Michael, Heckman, Timothy M., Hendry, John S., Hennessy, Gregory S., Hindsley, Robert B., Hogan, Craig J., Hogg, David W., Holmgren, Donald J., Ichikawa, Shin-ichi, Ichikawa, Takashi, Ivezic, Zeljko, Jester, Sebastian, Johnston, David E., Jorgensen, Anders M., Kent, Stephen M., Kleinman, S. J., Knapp, G. R., Kniazev, Alexei Yu., Kron, Richard G., Krzesinski, Jurek, Kunszt, Peter Z., Kuropatkin, Nickolai, Lamb, Donald Q., Lampeitl, Hubert, Lee, Brian C., Leger, R. French, Li, Nolan, Lin, Huan, Loh, Yeong-Shang, Long, Daniel C., Loveday, Jon, Lupton, Robert H., Malik, Tanu, Margon, Bruce, Matsubara, Takahiko, McGehee, Peregrine M., McKay, Timothy A., Meiksin, Avery, Munn, Jeffrey A., Nakajima, Reiko, Nash, Thomas, Neilsen, Eric H. Jr., Newberg, Heidi Jo, Newman, Peter R., Nichol, Robert C., Nicinski, Tom, Nieto-Santisteban, Maria, Nitta, Atsuko, Okamura, Sadanori, O, William, Ostriker, Jeremiah P., Owen, Russell, Padmanabhan, Nikhil, Peoples, John, Pier, Jeffrey R., Pope, Adrian C., Quinn, Thomas R., Richards, Gordon T., Richmond, Michael W., Rix, Hans-Walter, Rockosi, Constance M., Schlegel, David J., Schneider, Donald P., Scranton, Ryan, Sekiguchi, Maki, Seljak, Uros, Sergey, Gary, Sesar, Branimir, Sheldon, Erin, Shimasaku, Kazu, Siegmund, Walter A., Silvestri, Nicole M., Smith, J. Allyn, Smolčić, Vernesa, Snedden, Stephanie A., Stebbins, Albert, Stoughton, Chris, Strauss, Michael A., SubbaRao, Mark, Szalay, Alexander S., Szapudi, István, Szkody, Paula, Szokoly, Gyula P., Tegmark, Max, Teodoro, Luis, Thakar, Aniruddha R., Tremonti, Christy, Tucker, Douglas L., Uomoto, Alan, Vanden Berk, Daniel E., Vandenberg, Jan, Vogeley, Michael S., Voges, Wolfgang, Vogt, Nicole P., Walkowicz, Lucianne M., Wang, Shu-i, Weinberg, David H., West, Andrew A., White, Simon D. M., Wilhite, Brian C., Xu, Yongzhong, Yanny, Brian, Yasuda, Naoki, Yip, Ching-Wa, Yocum, D. R., York, Donald G., Zehavi, Idit, Zibetti, Stefano, and Zucker, Daniel B.
- Subjects
atlases ,catalogs ,surveys - Abstract
The Sloan Digital Sky Survey (SDSS) has validated and made publicly available its Second Data Release. This data release consists of 3324 deg2 of five-band (ugriz) imaging data with photometry for over 88 million unique objects, 367,360 spectra of galaxies, quasars, stars, and calibrating blank sky patches selected over 2627 deg2 of this area, and tables of measured parameters from these data. The imaging data reach a depth of r ≈ 22.2 (95% completeness limit for point sources) and are photometrically and astrometrically calibrated to 2% rms and 100 mas rms per coordinate, respectively. The imaging data have all been processed through a new version of the SDSS imaging pipeline, in which the most important improvement since the last data release is fixing an error in the model fits to each object. The result is that model magnitudes are now a good proxy for point-spread function magnitudes for point sources, and Petrosian magnitudes for extended sources. The spectroscopy extends from 3800 to 9200 Å at a resolution of 2000. The spectroscopic software now repairs a systematic error in the radial velocities of certain types of stars and has substantially improved spectrophotometry. All data included in the SDSS Early Data Release and First Data Release are reprocessed with the improved pipelines and included in the Second Data Release. Further characteristics of the data are described, as are the data products themselves and the tools for accessing them., Astronomy
- Published
- 2004
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23. Sloan Digital Sky Survey Imaging of Low Galactic Latitude Fields: Technical Summary and Data Release
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Finkbeiner, Douglas, Padmanabhan, Nikhil, Schlegel, David J., Carr, Michael A., Gunn, James E., Rockosi, Constance M., Sekiguchi, Maki, Lupton, Robert H., Knapp, G. R., Ivezic, Zeljko, Blanton, Michael R., Hogg, David W., Adelman-McCarthy, Jennifer K., Annis, James, Hayes, Jeffrey, Kinney, Ellynne, Long, Daniel C., Seljak, Uros, Strauss, Michael A., Yanny, Brian, Agüeros, Marcel A., Allam, Sahar S., Anderson, Scott F., Bahcall, Neta A., Baldry, Ivan K., Bernardi, Mariangela, Boroski, William N., Briggs, John W., Brinkmann, J., Brunner, Robert J., Budavári, Tamás, Castander, Francisco J., Covey, Kevin R., Csabai, István, Doi, Mamoru, Dong, Feng, Eisenstein, Daniel James, Fan, Xiaohui, Friedman, Scott D., Fukugita, Masataka, Gillespie, Bruce, Grebel, Eva K., Gurbani, Vijay K., de Haas, Ernst, Harris, Frederick H., Hendry, John S., Hennessy, Gregory S., Jester, Sebastian, Johnston, David E., Jorgensen, Anders M., Juric, Mario, Kent, Stephen M., Kniazev, Alexei Yu., Krzesinski, Jurek, Leger, R. French, Lin, Huan, Loveday, Jon, Mannery, Ed, Martínez-Delgado, David, McGehee, Peregrine M., Meiksin, Avery, Munn, Jeffrey A., Neilsen, Eric H. Jr., Newman, Peter R., Nitta, Atsuko, Pauls, George, Quinn, Thomas R., Rafikov, R. R., Richards, Gordon T., Richmond, Michael W., Schneider, Donald P., Schroeder, Joshua, Shimasaku, Kazu, Siegmund, Walter A., Smith, J. Allyn, Snedden, Stephanie A., Stebbins, Albert, Szalay, Alexander S., Szokoly, Gyula P., Tegmark, Max, Tucker, Douglas L., Uomoto, Alan, Vanden Berk, Daniel E., Weinberg, David H., West, Andrew A., Yasuda, Naoki, Yocum, D. R., York, Donald G., and Zehavi, Idit
- Subjects
atlases ,catalogs ,surveys - Abstract
The Sloan Digital Sky Survey (SDSS) mosaic camera and telescope have obtained five-band optical-wavelength imaging near the Galactic plane outside of the nominal survey boundaries. These additional data were obtained during commissioning and subsequent testing of the SDSS observing system, and they provide unique wide-area imaging data in regions of high obscuration and star formation, including numerous young stellar objects, Herbig-Haro objects, and young star clusters. Because these data are outside the survey regions in the Galactic caps, they are not part of the standard SDSS data releases. This paper presents imaging data for 832 square degrees of sky (including repeats), in the star-forming regions of Orion, Taurus, and Cygnus. About 470 deg2 are now released to the public, with the remainder to follow at the time of SDSS Data Release 4. The public data in Orion include the star-forming region NGC 2068/NGC 2071/HH 24 and a large part of Barnard's loop., Astronomy
- Published
- 2004
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24. The Three‐Dimensional Power Spectrum of Galaxies from the Sloan Digital Sky Survey
- Author
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Tegmark, Max, Blanton, Michael, Strauss, Michael, Hoyle, Fiona, Schlegel, David, Scoccimarro, Roman, Vogeley, Michael, Weinberg, David, Zehavi, Idit, Berlind, Andreas, Budavari, Tamás, Connolly, Andrew, Eisenstein, Daniel James, Finkbeiner, Douglas, Frieman, Joshua, Gunn, James, Hamilton, Andrew, Hui, Lam, Jain, Bhuvnesh, Johnston, David, Kent, Stephen, Lin, Huan, Nakajima, Reiko, Nichol, Robert, Ostriker, Jeremiah, Pope, Adrian, Scranton, Ryan, Seljak, Uroš, Sheth, Ravi, Stebbins, Albert, Szalay, Alexander, Szapudi, István, Verde, Licia, Xu, Yongzhong, Annis, James, Bahcall, Neta, Brinkmann, J., Burles, Scott, Castander, Francisco, Csabai, Istvan, Loveday, Jon, Doi, Mamoru, Fukugita, Masataka, Gott, J., Hennessy, Greg, Hogg, David, Ivezić, Željko, Knapp, Gillian, Lamb, Don, Lee, Brian, Lupton, Robert, McKay, Timothy, Kunszt, Peter, Munn, Jeffrey, O'Connell, Liam, Peoples, John, Pier, Jeffrey, Richmond, Michael, Rockosi, Constance, Schneider, Donald, Stoughton, Christopher, Tucker, Douglas, Berk, Daniel, Yanny, Brian, and York, Donald
- Subjects
galaxies: statistics ,large-scale structure of universe ,methods: data analysis - Abstract
We measure the large-scale real-space power spectrum P(k) by using a sample of 205,443 galaxies from the Sloan Digital Sky Survey, covering 2417 effective square degrees with mean redshift z ≈ 0.1. We employ a matrix-based method using pseudo-Karhunen-Loève eigenmodes, producing uncorrelated minimum-variance measurements in 22 k-bands of both the clustering power and its anisotropy due to redshift-space distortions, with narrow and well-behaved window functions in the range 0.02 h Mpc-1 < k < 0.3 h Mpc-1. We pay particular attention to modeling, quantifying, and correcting for potential systematic errors, nonlinear redshift distortions, and the artificial red-tilt caused by luminosity-dependent bias. Our results are robust to omitting angular and radial density fluctuations and are consistent between different parts of the sky. Our final result is a measurement of the real-space matter power spectrum P(k) up to an unknown overall multiplicative bias factor. Our calculations suggest that this bias factor is independent of scale to better than a few percent for k < 0.1 h Mpc-1, thereby making our results useful for precision measurements of cosmological parameters in conjunction with data from other experiments such as the Wilkinson Microwave Anisotropy Probe satellite. The power spectrum is not well-characterized by a single power law but unambiguously shows curvature. As a simple characterization of the data, our measurements are well fitted by a flat scale-invariant adiabatic cosmological model with h Ωm = 0.213 ± 0.023 and σ8 = 0.89 ± 0.02 for L* galaxies, when fixing the baryon fraction Ωb/Ωm = 0.17 and the Hubble parameter h = 0.72; cosmological interpretation is given in a companion paper., Astronomy
- Published
- 2004
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25. CANDELS/GOODS-S, CDFS, AND ECDFS: PHOTOMETRIC REDSHIFTS FOR NORMAL AND X-RAY-DETECTED GALAXIES.
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Hsu, Li-Ting, Salvato, Mara, Nandra, Kirpal, Brusa, Marcella, Bender, Ralf, Buchner, Johannes, Donley, Jennifer L., Kocevski, Dale D., Guo, Yicheng, Hathi, Nimish P., Rangel, Cyprian, Willner, S. P., Brightman, Murray, Georgakakis, Antonis, Budavári, Tamás, Szalay, Alexander S., Ashby, Matthew L. N., Barro, Guillermo, Dahlen, Tomas, and Faber, Sandra M.
- Subjects
ASTRONOMICAL surveys ,ASTRONOMICAL photometry ,GALACTIC redshift ,ACTIVE galactic nuclei ,X-ray astronomy ,COSMOLOGICAL distances - Abstract
We present photometric redshifts and associated probability distributions for all detected sources in the Extended Chandra Deep Field South (ECDFS). This work makes use of the most up-to-date data from the Cosmic Assembly Near-IR Deep Legacy Survey (CANDELS) and the Taiwan ECDFS Near-Infrared Survey (TENIS) in addition to other data. We also revisit multi-wavelength counterparts for published X-ray sources from the 4 Ms CDFS and 250 ks ECDFS surveys, finding reliable counterparts for 1207 out of 1259 sources (∼96%). Data used for photometric redshifts include intermediate-band photometry deblended using the TFIT method, which is used for the first time in this work. Photometric redshifts for X-ray source counterparts are based on a new library of active galactic nuclei/galaxy hybrid templates appropriate for the faint X-ray population in the CDFS. Photometric redshift accuracy for normal galaxies is 0.010 and for X-ray sources is 0.014 and outlier fractions are 4% and 5.2%, respectively. The results within the CANDELS coverage area are even better, as demonstrated both by spectroscopic comparison and by galaxy-pair statistics. Intermediate-band photometry, even if shallow, is valuable when combined with deep broadband photometry. For best accuracy, templates must include emission lines. [ABSTRACT FROM AUTHOR]
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- 2014
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26. CATALOG MATCHING WITH ASTROMETRIC CORRECTION AND ITS APPLICATION TO THE HUBBLE LEGACY ARCHIVE.
- Author
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Budavári, Tamás and Lubow, Stephen H.
- Subjects
- *
ASTROMETRY , *ASTROPHYSICS , *TRIGONOMETRY , *CELESTIAL sphere - Abstract
Object cross-identification in multiple observations is often complicated by the uncertainties in their astrometric calibration. Due to the lack of standard reference objects, an image with a small field of view can have significantly larger errors in its absolute positioning than the relative precision of the detected sources within. We present a new general solution for the relative astrometry that quickly refines the World Coordinate System of overlapping fields. The efficiency is obtained through the use of infinitesimal three-dimensional rotations on the celestial sphere, which do not involve trigonometric functions. They also enable an analytic solution to an important step in making the astrometric corrections. In cases with many overlapping images, the correct identification of detections that match together across different images is difficult to determine. We describe a new greedy Bayesian approach for selecting the best object matches across a large number of overlapping images. The methods are developed and demonstrated on the Hubble Legacy Archive, one of the most challenging data sets today. We describe a novel catalog compiled from many Hubble Space Telescope observations, where the detections are combined into a searchable collection of matches that link the individual detections. The matches provide descriptions of astronomical objects involving multiple wavelengths and epochs. High relative positional accuracy of objects is achieved across the Hubble images, often sub-pixel precision in the order of just a few milliarcseconds. The result is a reliable set of high-quality associations that are publicly available online. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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27. EFFECT OF INCLINATION OF GALAXIES ON PHOTOMETRIC REDSHIFT.
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Yip, Ching-Wa, Szalay, Alex S., Carliles, Samuel, and Budavári, Tamás
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- 2011
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28. REDSHIFT-SPACE ENHANCEMENT OF LINE-OF-SIGHT BARYON ACOUSTIC OSCILLATIONS IN THE SLOAN DIGITAL SKY SURVEY MAIN-GALAXY SAMPLE.
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Tian, H. J., Neyrinck, Mark C., Budavári, Tamás, and Szalay, Alexander S.
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- 2011
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29. Bayesian approach for matching multiple stellar observations.
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Kerekes, Gyöngyi, Budavári, Tamás, and Csabai, István
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- 2010
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30. RANDOM FORESTS FOR PHOTOMETRIC REDSHIFTS.
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Carliles, Samuel, Budavári, Tamás, Heinis, Sébastien, Priebe, Carey, and Szalay, Alexander S.
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- 2010
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31. CROSS-IDENTIFICATION PERFORMANCE FROM SIMULATED DETECTIONS: GALEX AND SDSS.
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Heinis, Sébastien, Budavári, Tamás, and Szalay, Alexander S.
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- 2009
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32. SPATIAL CLUSTERING FROM GALEX-SDSS SAMPLES: STAR FORMATION HISTORY AND LARGE-SCALE CLUSTERING.
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Heinis, Sébastien, Budavári, Tamás, Szalay, Alex S., Arnouts, Stéphane, Aragón-Calvo, Miguel A., Wyder, Ted K., Barlow, Tom A., Foster, Karl, Peter, Friedman G., Martin, D. Christopher, Morrissey, Patrick, Neff, Susan G., Schiminovich, David, Seibert, Mark, Bianchi, Luciana, Donas, José, Heckman, Timothy M., Lee, Young-Wook, Madore, Barry F., and Milliard, Bruno
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- 2009
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33. A UNIFIED FRAMEWORK FOR PHOTOMETRIC REDSHIFTS.
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Budavári, Tamás
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- 2009
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34. GALEX-SDSS CATALOGS FOR STATISTICAL STUDIES.
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Budavári, Tamás, Heinis, Sébastien, Szalay, Alexander S., Nieto-Santisteban, María, Gupchup, Jayant, Shiao, Bernie, Smith, Myron, Chang, Ruixiang, Kauffmann, Guinevere, Morrissey, Patrick, Schiminovich, David, Milliard, Bruno, Wyder, Ted K., Martin, D. Christopher, Barlow, Tom A., Seibert, Mark, Forster, Karl, Bianchi, Luciana, Donas, Jose, and Friedman, Peter G.
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- 2009
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35. Probabilistic Cross-Identification of Astronomical Sources.
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Budavári, Tamás and Szalay, Alexander S.
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- 2008
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36. Ongoing Formation of Bulges and Black Holes in the Local Universe: New Insights from GALEX.
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Kauffmann, Guinevere, Heckman, Timothy M., Budavári, Tamás, Charlot, Stephane, Hoopes, Charles G., Martin, D. Christopher, Seibert, Mark, Barlow, Tom A., Bianchi, Luciana, Conrow, Tim, Donas, José, Forster, Karl, Friedman, Peter G., Lee, Young-Wook, Madore, Barry F., Milliard, Bruno, Morrissey, Patrick F., Neff, Susan G., Rich, R. Michael, and Schiminovich, David
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- 2007
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- View/download PDF
37. The UV-Optical Color Magnitude Diagram. II. Physical Properties and Morphological Evolution On and Off of a Star-forming Sequence.
- Author
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Schiminovich, David, Wyder, Ted K., Martin, D. Christopher, Johnson, Benjamin. D., Salim, Samir, Seibert, Mark, Treyer, Marie A., Budavári, Tamás, Hoopes, Charles, Zamojski, Michel, Barlow, Tom A., Forster, Karl G., Friedman, Peter G., Morrissey, Patrick, Neff, Susan G., Small, Todd A., Bianchi, Luciana, Donas, José, Heckman, Timothy M., and Lee, Young-Wook
- Published
- 2007
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- View/download PDF
38. The UV-Optical Galaxy Color-Magnitude Diagram. I. Basic Properties.
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Wyder, Ted K., Martin, D. Christopher, Schiminovich, David, Seibert, Mark, Budavári, Tamás, Treyer, Marie A., Barlow, Tom A., Forster, Karl, Friedman, Peter G., Morrissey, Patrick, Neff, Susan G., Small, Todd, Bianchi, Luciana, Donas, José, Heckman, Timothy M., Lee, Young-Wook, Madore, Barry F., Milliard, Bruno, Rich, R. Michael, and Szalay, Alex S.
- Published
- 2007
- Full Text
- View/download PDF
39. The Calibration and Data Products of GALEX.
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Morrissey, Patrick, Conrow, Tim, Barlow, Tom A., Small, Todd, Seibert, Mark, Wyder, Ted K., Budavári, Tamás, Arnouts, Stephane, Friedman, Peter G., Forster, Karl, Martin, D. Christopher, Neff, Susan G., Schiminovich, David, Bianchi, Luciana, Donas, José, Heckman, Timothy M., Lee, Young-Wook, Madore, Barry F., Milliard, Bruno, and Rich, R. Michael
- Published
- 2007
- Full Text
- View/download PDF
40. Clustering Properties of Rest-Frame UV-Selected Galaxies. II. Migration of Star Formation Sites with Cosmic Time from GALEX and CFHTLS.
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Heinis, Sébastien, Milliard, Bruno, Arnouts, Stéphane, Blaizot, Jérémy, Schiminovich, David, Budavári, Tamás, Ilbert, Olivier, Donas, José, Treyer, Marie, Wyder, Ted K., McCracken, Henry J., Barlow, Tom A., Forster, Karl, Friedman, Peter G., Martin, D. Christopher, Morrissey, Patrick, Neff, Susan G., Seibert, Mark, Small, Todd, and Bianchi, Luciana
- Published
- 2007
- Full Text
- View/download PDF
41. Clustering Properties of Rest-Frame UV-Selected Galaxies. I. the Correlation Length Derived from GALEX Data in the Local Universe.
- Author
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Milliard, Bruno, Heinis, Sébastien, Blaizot, Jérémy, Arnouts, Stéphane, Schiminovich, David, Budavári, Tamás, Donas, José, Treyer, Marie, Laget, Michel, Viton, Maurice, Wyder, Ted K., Szalay, Alex S., Barlow, Tom A., Forster, Karl, Friedman, Peter G., Martin, D. Christopher, Morrissey, Patrick, Neff, Susan G., Seibert, Mark, and Small, Todd
- Published
- 2007
- Full Text
- View/download PDF
42. Statistical Properties of the GALEX-SDSS Matched Source Catalogs, and Classification of the UV Sources.
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Bianchi, Luciana, Rodriguez-Merino, Lino, Viton, Maurice, Laget, Michel, Efremova, Boryana, Herald, James, Conti, Alberto, Shiao, Bernie, de Paz, Armando Gil, Salim, Samir, Thakar, A., Friedman, Peter G., Rey, Soo-Chang, Thilker, David, Barlow, Tom A., Budavári, Tamás, Donas, José, Forster, Karl, Heckman, Timothy M., and Lee, Young-Wook
- Published
- 2007
- Full Text
- View/download PDF
43. Spectral Energy Distributions and Multiwavelength Selection of Type 1 Quasars.
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Richards, Gordon T., Lacy, Mark, Storrie-Lombardi, Lisa J., Hall, Patrick B., Gallagher, S. C., Hines, Dean C., Fan, Xiaohui, Papovich, Casey, Vanden Berk, Daniel E., Trammell, George B., Schneider, Donald P., Vestergaard, Marianne, York, Donald G., Jester, Sebastian, Anderson, Scott F., Budavári, Tamás, and Szalay, Alexander S.
- Published
- 2006
- Full Text
- View/download PDF
44. The Fourth Data Release of the Sloan Digital Sky Survey.
- Author
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Adelman-McCarthy, Jennifer K., Agüeros, Marcel A., Allam, Sahar S., Anderson, Kurt S. J., Anderson, Scott F., Annis, James, Bahcall, Neta A., Baldry, Ivan K., Barentine, J. C., Berlind, Andreas, Bernardi, Mariangela, Blanton, Michael R., Boroski, William N., Brewington, Howard J., Brinchmann, Jarle, Brinkmann, J., Brunner, Robert J., Budavári, Tamás, Carey, Larry N., and Carr, Michael A.
- Published
- 2006
- Full Text
- View/download PDF
45. An Empirical Algorithm for Broadband Photometric Redshifts of Quasars from the Sloan Digital Sky Survey.
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Weinstein, Michael A., Richards, Gordon T., Schneider, Donald P., Younger, Joshua D., Strauss, Michael A., Hall, Patrick B., Budavári, Tamás, Gunn, James E., York, Donald G., and Brinkmann, J.
- Published
- 2004
- Full Text
- View/download PDF
46. The Galaxy-Mass Correlation Function Measured from Weak Lensing in the Sloan Digital Sky Survey.
- Author
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Sheldon, Erin S., Johnston, David E., Frieman, Joshua A., Scranton, Ryan, McKay, Timothy A., Connolly, A. J., Budavári, Tamás, Zehavi, Idit, Bahcall, Neta A., Brinkmann, J., and Fukugita, Masataka
- Published
- 2004
- Full Text
- View/download PDF
47. The Evolution of Early-Type Field Galaxies Selected from a NICMOS Map of the Hubble Deep Field North.
- Author
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Stanford, S. A., Dickinson, Mark, Postman, Marc, Ferguson, Henry C., Lucas, Ray A., Conselice, Christopher J., Budavári, Tamás, and Somerville, Rachel
- Published
- 2004
- Full Text
- View/download PDF
48. The First Data Release of the Sloan Digital Sky Survey.
- Author
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Abazajian, Kevork, Adelman-McCarthy, Jennifer K., Agüeros, Marcel A., Allam, Sahar S., Anderson, Scott F., Annis, James, Bahcall, Neta A., Baldry, Ivan K., Bastian, Steven, Berlind, Andreas, Bernardi, Mariangela, Blanton, Michael R., Blythe, Norman, Bochanski, Jr., John J., Boroski, William N., Brewington, Howard, Briggs, John W., Brinkmann, J., Brunner, Robert J., and Budavári, Tamás
- Published
- 2003
- Full Text
- View/download PDF
49. Angular Clustering with Photometric Redshifts in the Sloan Digital Sky Survey: Bimodality in the Clustering Properties of Galaxies.
- Author
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Budavári, Tamás, Connolly, Andrew J., Szalay, Alexander S., Szapudi, István, Csabai, István, Scranton, Ryan, Bahcall, Neta A., Brinkmann, Jon, Eisenstein, Daniel J., Frieman, Joshua A., Fukugita, Masataka, Gunn, James E., Johnston, David, Kent, Stephen, Loveday, Jon N., Lupton, Robert H., Tegmark, Max, Thakar, Aniruddha R., Yanny, Brian, and York, Donald G.
- Published
- 2003
- Full Text
- View/download PDF
50. Red and Reddened Quasars in the Sloan Digital Sky Survey.
- Author
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Richards, Gordon T., Hall, Patrick B., Vanden Berk, Daniel E., Strauss, Michael A., Schneider, Donald P., Weinstein, Michael A., Reichard, Timothy A., York, Donald G., Knapp, G. R., Fan, Xiaohui, Ivezić, Željko, Brinkmann, J., Budavári, Tamás, Csabai, István, and Nichol, R. C.
- Published
- 2003
- Full Text
- View/download PDF
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