UV/Optical Detections of Candidate Tidal Disruption Events by GALEX and CFHTLS

TL;DR

This paper reports the discovery of two candidate tidal disruption events in UV/optical wavelengths, with light curves and properties consistent with star disruption by a supermassive black hole, using GALEX and CFHTLS data.

Contribution

First detection of UV tidal disruption events with simultaneous optical light curves, confirming theoretical models and estimating disruption rates from survey data.

Findings

Light curves follow t^(-5/3) decay as predicted.

X-ray observations show soft X-ray sources with high temperatures.

Detection rate aligns with dynamical model predictions.

Abstract

We present two luminous UV/optical flares from the nuclei of apparently inactive early-type galaxies at z=0.37 and 0.33 that have the radiative properties of a flare from the tidal disruption of a star. In this paper we report the second candidate tidal disruption event discovery in the UV by the GALEX Deep Imaging Survey, and present simultaneous optical light curves from the CFHTLS Deep Imaging Survey for both UV flares. The first few months of the UV/optical light curves are well fitted with the canonical t^(-5/3) power-law decay predicted for emission from the fallback of debris from a tidally disrupted star. Chandra ACIS X-ray observations during the flares detect soft X-ray sources with T_bb= (2-5) x 10^5 K or Gamma > 3 and place limits on hard X-ray emission from an underlying AGN down to L_X (2-10 keV) <~ 10^41 ergs/s. Blackbody fits to the UV/optical spectral energy distributions of the flares indicate peak flare luminosities of > 10^44-10^45 ergs/s. The temperature, luminosity, and light curves of both flares are in excellent agreement with emission from a tidally disrupted main sequence star onto a central black hole of several times 10^7 msun. The observed detection rate of our search over ~ 2.9 deg^2 of GALEX Deep Imaging Survey data spanning from 2003 to 2007 is consistent with tidal disruption rates calculated from dynamical models, and we use these models to make predictions for the detection rates of the next generation of optical synoptic surveys.