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1. Mining the Local Universe: the QSO Space Density

   We present progress results of a new survey for bright QSOs (V < 14.5, R < 15.4, B J...

   Stefano Cristiani, Andrea Grazian, ... Christopher Corbally in Mining the Sky

   Conference paper
   

2. Field Galaxy Evolution from the Munich Near-Infrared Cluster Survey (MUNICS)

   The Munich Near-IR Cluster Survey (MUNICS) is a K’-selected survey covering 1 square degree in the K’ and J near-infrared bands with complementary...

   Georg Feulner, Niv Drory, ... Claudia Mendes de Oliveira in Mining the Sky

   Conference paper
   

3. Nonlinear Peculiar-Velocity Analysis and PCA

   We allow for nonlinear effects in the likelihood analysis of peculiar velocities, and obtain...

   Avishai Dekel, Amiram Eldar, ... Idit Zehavi in Mining the Sky

   Conference paper
   

4. Strong Constraints on Cosmology from Galaxy Clusters

   In this work we show how galaxy clusters can be used to discriminate among different cosmological models. We have used available X-ray & optical...

   J. M. Diego, E. Martínez-González, ... J. Silk in Mining the Sky

   Conference paper
   

5. FORCE: FORtran for Cosmic Errors

   We review the theory of cosmic errors we have recently developed for count-in-cells statistics. The corresponding FORCE package provides a simple and...

   Stéphane Colombi, István Szapudi in Mining the Sky

   Conference paper
   

6. Automated Classification Techniques for Large Spectroscopic Surveys

   With the onset of large, systematically selected spectroscopic surveys we have the opportunity to understand the distribution and evolution of...

   A. J. Connolly, F. Castander, ... C. W. Yip in Mining the Sky

   Conference paper
   

7. Near-Infrared Integral Field Spectroscopy of Damped Lyman- $\alpha$ Systems

   We assess the feasibility of detecting star formation in damped Lyman- $\alpha$...

   Andrew Bunker, Annette Ferguson, ... Rachel Somerville in Mining the Sky

   Conference paper
   

8. Fast Algorithms and Efficient Statistics: N-Point Correlation Functions

   We present here a new algorithm for the fast computation of N-Point correlation functions in large astronomical data sets. The algorithm is based on...

   Andrew W. Moore, Andy J. Connolly, ... Larry Wasserman in Mining the Sky

   Conference paper
   

9. Noise Estimation in CMB Time-Streams and Fast Iterative Map-Making

   We describe here an iterative method for jointly estimating the noise power spectrum from a CMB experiment’s time-ordered data, together with the...

   S. Prunet, P. A. R. Ade, ... N. Vittorio in Mining the Sky

   Conference paper
   

10. Massive Variability Searches: the Past, Present and Future

    Many decades ago a search for variable stars was one of the main areas of astrophysical research. Such searches, conducted with CCD detectors rather...

    Bohdan Paczyński in Mining the Sky

    Conference paper
    

11. NIR Visibility Function of Emission Lines with the Galileo OH Subtracted Spectrograph

    We study here the visibility function of emission lines expected for GOHSS. This spectrograph will accomplish, on spectra observed at resolution...

    Agostino Fiorani, Roberto Scaramella, ... Fabrizio Vitali in Mining the Sky

    Conference paper
    

12. Fast Hough Transform for Robust Detection of Satellite Tracks

    Satellite tracks are frequently observed on images obtained with wide-field imagers and relative long exposure times. In order to prevent false...

    Benoît Vandame in Mining the Sky

    Conference paper
    

13. Mining the Thermal SZ Effect with a Speedy Pixon Algorithm

    A Speedy Pixon Algorithm for image reconstruction is applied. Galaxy clusters are extracted from multi-wavelength microwave sky maps using the...

    Luís Teodoro, Vincent R. Eke in Mining the Sky

    Conference paper
    

14. Blind Source Separation of Multispectral Astronomical Images

    Multispectral images lead to classify pixels, but often with the drawback that each pixel value is the result of a combination of different sources....

    Albert Bijaoui, Danielle Nuzillard in Mining the Sky

    Conference paper
    

15. Extracting Knowledge from Very Large Datasets in a Multi-Wavelength Context

    The ability to extract knowledge from very large data catalogues resulting from sky surveys or from deep wide fields, observed at various wavelength...

    Daniel Egret in Mining the Sky

    Conference paper
    

16. OPTICON and the Virtual Observatory

    The challenges of multi-wavelength astrophysics require new outlooks from those appropriate to traditional astronomy. The next generation of research...

    Gerry Gilmore in Mining the Sky

    Conference paper
    

17. Mining the CDS Collection: A Learning Experience

    The experiences gained as a result of the CDS/ESO Datamining project are described in this paper as well as a brief outline of the tools developed...

    Patricio F. Ortiz, François Ochsenbein in Mining the Sky

    Conference paper
    

18. DEEP: Pre-DEIMOS Surveys to $I \sim 24$ of Galaxy Evolution and Kinematics

    DEEP is a two-phase program designed to undertake spectroscopic surveys of faint field galaxies with the Keck Telescopes. The scientific goals...

    David C. Koo in Deep Fields

    Conference paper
    

19. Constraining Models of Galaxy Formation with Deep Multicolor Galaxy Surveys

    We present a comparison between the observed properties of high redshift galaxies, as they result from the analysis of deep multicolor imaging...

    Adriano Fontana, Nicola Menci, ... Paolo Saracco in Deep Fields

    Conference paper
    

20. Modeling Faint Morphological Number Counts

    We revisit our recent results concerning comparisons of magnitude and photometric redshift data from the Hubble Deep Fields to statistical...

    Paul Bristow, Steve Phillipps in Deep Fields

    Conference paper