The VVV-SkZ_pipeline: an automatic PSF-fitting photometric pipeline for the VVV survey
Francesco Mauro,1 Christian Moni Bidin,1,2,5 André-Nicolas Chené,1,3 Doug Geisler,1 Javier Alonso-García,4 Jura Borissova,3,5 and Giovanni Carraro6,7
1 Departamento de Astronomía, Universidad de Concepción, Chile. (achene@gemini.edu), (dgeisler@astro-udec.cl), (skz5k2@gmail.com)
2 Instituto de Astronomía, Universidad Católica del Norte, Chile. (chr.moni.bidin@gmail.com)
3 Departamento de de Física y Astronomía, Universidad de Valparaíso, Chile. (jura.borissova@uv.cl)
]]> 4 Departamento de Astronomía y Astrofísica, Pontificia Universidad Católica de Chile, Chile. (jalonso@astro.puc.cl)5 The Milky Way Millennium Nucleus, Santiago de Chile, Chile.
6 European Southern Observatory, Santiago de Chile, Chile. (gcarraro@eso.org)
7 Dipartimento di Fisica e Astronomia, Universita di Padova, Padua, Italy.
Received 2012 November 14.
Accepted 2013 March 7.
RESUMEN
Presentamos el programa VVV-SkZ_pipeline, un programa fotometrico basado en la suite DAOPHOT, creado para realizar fotometría PSF de los datos de la sondeo público de la ESO "VISTA Variables in the Vía Láctea" (VVV). El programa reemplaza el usuario en el uso iterativo y repetitivo en todas las operaciones, manteniendo todos los beneficios de la precisión de la suite DAOPHOT. El programa suministra un catálogo fotométrico astrometrizado confiable para objetos hasta más de 2 magnitudes mas brillantes que el límite de saturación. El programa también produce fotometría más profunda y más precisa. Estos logros permiten al programa VVV-SkZ_pipeline producir resultados bien anclados al sistema fotométrico estandard selecionado, y analizar fenómenos muy importantes (como TRGB, la pendiente de la RGB, la morfología de la HB, las estrellas RR Lyrae) que otros métodos no alcanzan.
]]>ABSTRACT
We present the VVV-SkZ_pipeline, a DAOPHOT-based photometric pipeline, created to perform PSF-fitting photometry of "VISTA Variables in the Vía Láctea" (VVV) ESO Public Survey data. The pipeline replaces the user avoiding repetitive interaction in all the operations, retaining all of the benefits of the power and accuracy of the DAOPHOT suite. The pipeline provides an astrometrized photometric catalog reliable up to more than 2 magnitudes brighter than the saturation limit, where other techniques fail. It also produces deeper and more accurate photometry. These achievements allow the VVV-SkZ_pipeline to produce data well anchored to the selected standard photometric system and analyze important phenomena (i.e. TRGB, RGB slope, HB morphology, RR Lyrae), that other methods are not able to manage.
Key Words: techniques: photometric.
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