Publications

Papers

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  • The Alhambra photometric system

    T. Aparicio Villegas, EJ Alfaro, J. Cabrera-Caño, M. Moles, N. Benítez, J. Perea, A. del Olmo, A. Fernández-Soto, D. Cristóbal-Hornillos, C. Husillos, JAL Aguerri, T. Broadhurst, FJ Castander, J. Cepa, M. Cerviño, RM González Delgado, L. Infante, I. Márquez, J. Masegosa, VJ Martínez, F. Prada, JM Quintana, SF Sánchez

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    The Alhambra photometric system

    Paper The Astronomical Journal 139 1242 (2010)

  • Near-ir galaxy counts and evolution from the wide-field alhambra survey

    D. Cristobal-Hornillos, J. A. L. Aguerri, M. Moles, J. Perea, F. J. Castander, T. Broadhurst, E. J. Alfaro, N. Benitez, J. Cabrera, J. Cepa, M. Cervino, A. Fernandez-Soto, R. M. Gonzalez-Delgado, C. Husillos, L. Infante, I. Marquez, V. J. Martinez, J. Masegosa, A. del Olmo, F. Prada, J. M. Quintana, S. F. Sanchez

    Near-ir galaxy counts and evolution from the wide-field alhambra survey

    Paper Astrophys.J. 696:1554-1575 (2009)

  • Optimal filter systems for photometric redshift estimation

    N. Benítez, M. Moles, J. A. L. Aguerri, E. Alfaro, T. Broadhurst, J. Cabrera-Caño, F. J. Castander, J. Cepa, M. Cerviño, D. Cristóbal-Hornillos, A. Fernández-Soto, R. M. González Delgado, L. Infante, I. Márquez, V. J. Martínez, J. Masegosa, A. Del Olmo, J. Perea, F. Prada, J. M. Quintana, S. F. Sánchez

    Optimal filter systems for photometric redshift estimation

    Paper ApJ 692 L5 (2009)

Conference proceedings

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  • Optimal filters for photometric redshifts: the Alhambra Survey

    Benítez, N., M. Moles, Alfaro, E., Broadhurst, T., Castander, F.J., Cepa, J., Cerviño, M., Fernández Soto, A., González Delgado, R.M., Infante, L., López Aguerri, J.A., Márquez, I., Masegosa, J., Martínez, J. V., del Olmo, A., Perea, J., Prada, F., Quintana, J.A.

    Conference JENAM 2004

  • The evolution of galaxy clustering since z = 1.5 in the alhambra survey

    P. Arnalte-Mur, V. J. Martínez, A. Fernández-Soto, A. Molino, A. Montero-Dorta, M. Stefanon, J. A. L. Aguerri, E. J. Alfaro, T. Aparicio-Villegas, N. Benítez, T. Broadhurst, J. Cabrera-Caño, F. J. Castander, J. Cepa, M. Cerviño, D. Cristóbal-Hornillos, R. M. González Delgado, C. Husillo, L. Infante, I. Márquez, J. Masegosa, M. Moles, A. del Olmo, J. Perea, F. Prada, J. M. Quintana

    Conference X Reunin Cientfica de la Sociedad Espaola de Astronoma (Valencia 2012)

  • The ALHAMBRA Survey

    Moles, M.; Aguerri, J. A. L.; Alfaro, E. J.; Benítez, N.; Broadhurst, T.; Cabrera-Caño, J.; Castander, F. J.; Cepa, J.; Cerviño, M.; Fernández Soto, A.; González Delgado, R. M.; Infante, L.; Martínez, V. J.; Masegosa, J.; Márquez, I.; Del Olmo, A.; Perea, J.; Prada, F.; Quintana, J. M.; Sánchez, S. F.

    Conference Pathways Through an Eclectic Universe (2007)

  • First results from the Alhambra-Survey

    A. Fernandez-Soto, on behalf of the ALHAMBRA Core Team: M. Moles, J.A.L. Aguerri, E.J. Alfaro, N. Benitez, T. Broadhurst, J. Cabrera-Caño, F.J. Castander, J. Cepa, M. Cerviño, D. Cristobal-Hornillos, A. Fernandez-Soto, R.M. Gonzalez Delgado, L. Infante, I. Marquez, V.J. Martinez, J. Masegosa, A. del Olmo, J. Perea, F. Prada, J.M. Quintana, S.F. Sanchez

    Conference A Century of Cosmology: Past, Present and Future (Venize, Aug. 2007)

  • The Alhambra Survey: for a systematic study of cosmic evolution

    Mariano Moles, Emilio Alfaro, Narciso Benítez, Tom Broadhurst, Francisco J. Castander, Jordi Cepa, Miguel Cerviño, Alberto Fernández-Soto, Rosa M. González Delgado, Leopoldo Infante, Alfonso López Aguerri, Isabel Márquez, Vicent J. Martínez, Josefa Masegosa, Ascensión del Olmo, Jaime Perea, Francisco Prada, José M. Quintana, Sebastián Sánchez

    The Alhambra Survey: for a systematic study of cosmic evolution

    Conference JENAM 2004

Books

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Data Releases

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  • Angular Masks

    ANGULAR SELECTION MASKS FOR THE ALHAMBRA SURVEY (v1.0, May 2014)

    These angular masks were created by the ALHAMBRA-survey Team. The corresponding ALHAMBRA data release (v1.0, Nov 2013) is described in Molino et al. (2014), and can be accessed at https://cloud.iaa.csic.es/alhambra/.

    DOWNLOAD the mask file.

    The masks describe the angular selection function of the ALHAMBRA survey. They are described in Sect. 3.1 of Arnalte-Mur et al. (2014), see that reference for details. They are mostly based on the detection image (synthetic F814W band). In brief, we have masked out the following areas:

    • Areas with low exposure time
    • Regions around bright stars (in the Tycho-2 catalogue)
    • Regions around saturated objects, and obvious defects in the image
    • Regions with bad photometric quality in >=3 ALHAMBRA bands
    • Small overlap between frames

    These masks take a conservative approach, with the aim of studying large-scale structure, they may not be optimal for other applications. Use your best judgement, and contact us if in doubt.

    How to use the masks:

    The masks were created using the Mangle software, Swanson et al. (2008), and are written in its polygon format. You will need to install this software in order to use them. Please, refer to Mangle's webpage to for help on using that software.

    Each of the files correspond to a single ALHAMBRA frame (each ALHAMBRA field is composed of 4 or 8 frames, see Appendix A in Molino et al. 2014 for details). The names follow the same convention as in the data release.

    Any overlap between frames has ben eliminated, so you can directly combine the masks from several frames (e.g. to create a complete field's mask) using the Mangle tools.

    Catalogue selection:

    If you want to use the public ALHAMBRA data and these masks, the first step should be to select only the objects in the catalogues that fall inside the angular mask. You can use the included Python script alhambra_mask_selection.py to achieve this.

    Requisites

    To run the script, you will need to have Python, NumPy and Mangle installed. The environment variable MANGLEBINDIR should point to Mangle's bin directory.

    Running the script

    We assume you have the data catalogues (as downloaded from https://cloud.iaa.csic.es/alhambra/) in a directory named 'inputcats', and the mask files in a directory named 'masks'. Then you can run the script as

    python alhambra_mask_selection.py [FrameName]
    

    where [FrameName] is the name of the ALHAMBRA frame in which you want to select the catalogue. For example, running

    python alhambra_mask_selection.py F02P01C02
    

    will create a new file alhambra.F02P01C02_masksel.cat containing only the objects in the catalogue that fall inside the angular mask (it will produce also a log file).

    A few options regarding the names of input/output files, etc. can be changed directly at the beginning of the code.

    Terms of use

    You are free to use these angular masks for any purpose, under the condition that you cite both Molino et al. 2014 (where ALHAMBRA data is described) and Arnalte-Mur et al. 2014 (where the definition of these masks is described).

    Contact

    If you have any problem or question regarding these masks, please contact Pablo Arnalte-Mur pablo.arnalte-mur@durham.ac.uk

    References:

     

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    Conference Version 1.0, May 2014

  • The ALHAMBRA Project: A large area multimedium-band optical and NIR photometric Survey.

    Moles, M., Benítez, N., Aguerri, J.A.L., Alfaro, E.J., Broadhurst, T., Cabrera-Caño, J., Castander, F.J., Cepa, J., Cerviño, M., Cristobal-Hornillos, D., Fernández Soto, A., González Delgado, R.M., Infante, L., Márquez, I., Martínez, J. V., Masegosa, J., del Olmo, A., Perea, J., Prada, F., Quintana, J.A., Sánchez, S.F.

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    Conference A.J. 136, 1325 (2008)

Doctoral thesis

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