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We present the first attempt to select AGN using long-term NIR variability.By analysing the K-band light curves of all the galaxies in the UKIDSS UltraDeep Survey, the deepest NIR survey over ~1 sq degree, we have isolated 393variable AGN candidates. A comparison to other selection techniques shows thatonly half of the variable sources are also selected using either deep ChandraX-ray imaging or IRAC colour selection, suggesting that using NIR variabilitycan locate AGN that are missed by more standard selection techniques. Inparticular, we find that long-term NIR variability identifies AGN at lowluminosities and in host galaxies with low stellar masses, many of which appearrelatively X-ray quiet.

Long-term NIR Variability in the UKIDSS Ultra Deep Survey: a new probe of AGN activity at high redshift