Peristiwa bersejarah berlaku semalam di Large Hadron Collider (LHC) . Pelanggaran 7 TeV berlaku. Setakat ini, LHC masih belum ditelan lohong hitam !
Khabarnya dianggarkan terdapat 600000 collision events!
Tak sabar menantikan analisis fizik mengenainya ;-)
Wednesday, March 31, 2010
Monday, March 29, 2010
Publish Juga
Saya mendapat emel daripada kawan dari UTAR pagi tadi. Berita gembira, kertas penyelidikan yang saya tulis bersama rakan-rakan telah dipersetujui untuk di" publish "kan. Syaratnya, kena "present" dahulu di konferen tidak lama lagi.
Tapi oleh sebab ini, saya mewakilkan sahaja kepada seorang lagi sahabat. ;-)
Tapi oleh sebab ini, saya mewakilkan sahaja kepada seorang lagi sahabat. ;-)
Wednesday, March 24, 2010
Nota untuk diri
How do scientists know when their experimental results add up to a discovery?
- sigma;the unit that describes how reliable a result is
- Scientists refer to sigma as the "standard deviation." It is the decisive parameter of the Gaussian curve, a mathematical function that describes the distribution of data from many simple experiments. Citing a certain number of sigma directly translates into a probability. Three sigma, for example, is equivalent to a 99.75 percent chance that a future experiment will yield a compatible result
- Identifying a new particle and determining the significance of its signal is quite different from rolling a pair of dice and calculating the probability of the score. Particle physicists have to study background events, which are created by other particles and leave similar signals.
- Scientists need to know characteristic details of both signal and background events to filter the data and obtain a sharper image. If plenty of "photos" and good filtering techniques exist, physicists can reconstruct the "image" of a new particle.
- Simulations are important in order to judge how much an anticipated signal could differ from the expected background noise.
- To calculate the significance of a discovery, we actually simulate a large ensemble of pseudo experiments. For each pseudo experiment we generate a certain number of events that we would have seen in the detector
- You have to understand exactly how your detector is working to determine the background with particular uncertainties
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