Does anyone know specific dates on when the first experiments (particularly thos involving finding the Higgsparticle) will start in the LCH?
there are some major announcements worth noting. First the current schedule plans that the machine will be cold (to superconducting temperatures) by mid-June. And that we could expect single beam in July. The first physics run in 2008 will be at an energy of 10TeV. (The machine design is 14TeV and for comparison the Tevatron accelerator in Chicago is 1.96 TeV).
Their nominal beam commissioning plan refers to taking 30 days of work on the beam to get ready for physics, with likely down-time meaning it would take on average two calendar days for each day of work. So, this puts them with a physics run starting in September. Maybe it will go more quickly, maybe they’ll run into problems, we’ll see.
Between comments here and http://uslhc.us/blogs/?p=163 they seem to be suggesting a good guide would be to look at how things went with CDF/D0, which would suggest time from first physics collisions to first real-world publication could be as long as two years!There are many factors which determine the time from turn-on to publication. As Seth points out, one of those factors is the number of collisions. The fewer collisions, the longer we must run to gather decent statistics. Additionally before reaching the publication stage we have to have a good understanding of the detector calibration. And how long this takes depends on how smoothly each of the steps along the way go. There are two many unknown factors right now, such as how stable the beam will be in the beginning, how straightforward the calibration will be, to really be able to predict the time to publication.
Also, the amount of data obtained in 2008 will be really tiny,
BenTheMan said:To say the least :) SUSY will be discovered first, but if the higgs really is at 115 GeV, then FermiLab will discover it before LHC sees it, or so I've been told. As I understand it, light higgs favored decay mode is to two photons, a signature that needs a lot of statistics.