This table can be used for TAP queries. To give you an idea of what you can do, there's an example in the TAP service.
A worked out use case on comparing IceCube and Antares data using TOPCAT was kindly contributed by Vladimir Kulikovsky.
Here is another sample query that gives, for all the areas of the neutrinos, the average energy and the number of photons per area from the ROSAT survey:
SELECT a.id, AVG(energy_cor) AS mean_energy, COUNT(*)/(ang_error*ang_error)/exposure_time FROM antares10.data AS a JOIN rosat.photons AS p on 1=CONTAINS(POINT('', p.raj2000, p.dej2000),origin_est) GROUP BY a.id, ang_error
Note that since this has to do a linear scan through the relatively large ROSAT photon table, the query will take a while; you will need to execute it in async mode.
In a separate step, you could compute these averages for the entire table and see if some systematics show up.