Initial data release of the Kepler-INT Survey

TL;DR

The paper presents the first data release of the Kepler-INT Survey, providing deep optical photometry for the Kepler field to aid target selection and complement Kepler's time series data.

Contribution

It introduces a new deep optical survey of the Kepler field, using the Isaac Newton Telescope, with calibrated photometry aligned to the Kepler Input Catalog.

Findings

Coverage of 50 deg2 in the Kepler field with quality-controlled data.

Catalogue of approximately 6 million sources available for download.

Achieved a 10-sigma detection limit around 20th magnitude.

Abstract

This paper describes the first data release of the Kepler-INT Survey (KIS), that covers a 116 deg2 region of the Cygnus and Lyra constellations. The Kepler field is the target of the most intensive search for transiting planets to date. Despite the fact that the Kepler mission provides superior time series photometry, with an enormous impact on all areas of stellar variability, its field lacks optical photometry complete to the confusion limit of the Kepler instrument necessary for selecting various classes of targets. For this reason, we follow the observing strategy and data reduction method used in the IPHAS and UVEX galactic plane surveys in order to produce a deep optical survey of the Kepler field. This initial release concerns data taken between May and August 2011, using the Isaac Newton Telescope on the island of La Palma. Four broadband filters were used, U, g, r, i, as well as one narrowband one, Halpha, reaching down to a 10-sigma limit of around 20th mag in the Vega system. Observations covering around 50 deg2, thus about half of the field, passed our quality control thresholds and constitute this first data release. We derive a global photometric calibration by placing the KIS magnitudes as close as possible to the Kepler Input Catalog (KIC) photometry. The initial data release catalogue containing around 6 million sources from all the good photometric fields is available for download from the KIS webpage, as well as via MAST.