GeminiFocus April 2016 | Page 19

Addressing Weather Loss at Gemini South Weather conditions at Gemini South repeat themselves fairly regularly across each semester. In the past we didn’t make any allowance for that. Recently, we’ve made a change to the way we fill the queue for Gemini South. Figure 3 shows a repetitive five-year pattern of weather losses at Gemini South; because we filled the queue each month as if the weather loss was uniform (and it wasn’t), we forced ourselves to battle the elements at the worst times of the year. In the 2016A TAC process, we adjusted the way we fill the queue: we no longer overload May-September, and allow more programs into the southern summer months. We’ll see how it goes now that we’re into the semester itself. 2015B: Major Challenges at Gemini South As mentioned, Gemini South has had some challenging semesters of late. Semester 2015B, for instance, had plenty of adversity to go around: the Gemini Multi-conjugate adaptive optics System (GeMS) out of action April 2016 due to a major earthquake that struck in September 2015; the Gemini Planet Imager (GPI) still ramping up; and many programs either lost completely to weather, or executed under marginal conditions. Based on the discussion above, we would therefore expect a significant hit on programs in all Bands, with Band 3 (able to take the worst conditions, and therefore not containing any GPI or GeMS programs) performing reasonably well. That’s borne out by the results shown in Figure 4: a significant number of GPI programs were not attempted at all, hardly any GeMS programs started, and many programs ended up in the “tail” of completions below 100%. GeminiFocus Figure 3. Percentage of time lost to weather at Gemini South. This pattern is quite reproducible from year to year. We now take better account of it in the time allocation process; we no longer overload the mid-year months (MaySeptember), and allow more programs into the southern summer time. Figure 4. Program completion in 2015B at Gemini South. Note the significant numbers of unstarted programs (driven by instrument unavailability), and the excess of Band 3 programs in the 100%-complete bin (a signature of bad weather). 17