Seismic array classified until the 1990s. Today they become part of the IMS as primary or auxiliary stations. Seismic arrays are not only used to monitor earthquakes and nuclear tests, but also used as a tool for investigating nature and source regions of microseisms as well as locating and tracking volcanic tremor and analyzing complex seismic wave-field properties in volcanic areas. Seismic arrays can be classified by size, which is defined by the array's aperture given by the largest distance between the single seismometers. The sensors in a seismic array are arranged in different geometry patterns horizontally. The arrays built in the
The Superstar Effect The Superstar Effect The Superstar Effect or "Tiger Woods effect" refers to the change in performance caused by the presence of a highly ranked player - a superstar - in a rank-order competition. The phenomenon was first described in a study titled ""Quitters Never Win: The (Adverse) Incentive Effects of Competing with Superstars"" by Jennifer Brown, which examined the performance of golfers at events with and without Tiger Woods. In contradiction to what intuition would suggest (namely that increased rivalry encourages better performance), Brown finds that the presence of a superstar is in fact associated with reduced competitor’s efforts in