Improving Catalogue Matching By Supplementing Astrometry with Additional Photometric Information

The authors thank the referee for their thorough report and useful comments, which helped us to improve this paper. TJW acknowledges support from an STFC Studentship. This work has made use of the SciPy (Jones et al. 2001), NumPy (van der Walt et al. 2011), Matplotlib (Hunter 2007), and F2PY (Peterson 2009) Python modules. This paper makes use of data obtained as part of the INT Photometric H_ Survey of the Northern Galactic Plane (IPHAS, www.iphas.org) carried out at the Isaac Newton Telescope (INT). The INT is operated on the island of La Palma by the Isaac Newton Group in the Spanish Obser- vatorio del Roque de los Muchachos of the Instituto de Astro_sica de Canarias. All IPHAS data are processed by the Cambridge Astronomical Survey Unit, at the Institute of Astronomy in Cambridge. The bandmerged DR2 cata- logue was assembled at the Centre for Astrophysics Re- search, University of Hertfordshire, supported by STFC grant ST/J001333/1. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This work has made use of data from the European Space Agency (ESA) mission Gaia (http://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national insti- tutions, in particular the institutions participating in the Gaia Multilateral Agreement.