Kembali Semula...

Ah, saya kembali semula ke ofis Cyberjaya. Dan akan berada sini, barangkali permanent !

Nota : Foto dari kiri ( Fazly [programmer hebat dari Serdang] dan Gavin [ Intern dari UKM, dan juga pelajar antarabangsa dari China]

Aktiviti April

Tanpa sedar, sudah masuk bulan ke-4 tahun 2010.

Minggu hadapan saya di jemput oleh sahabat lama dari Jabatan Fizik UM untuk memberikan ceramah kerjaya kepada penuntut tahun akhir jabatan sempena Kolokium Fizik.

Setakat ini bercadang untuk membentangkan pengalaman saya dalam bidang teknologi maklumat.

* nota : Semasa bergelar pelajar dahulu, tidak terfikir pula untuk mencebur diri dalam bidang IT ini.

Mesin Kiamat Konon

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 ;-)

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. ;-)

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

Penyelidikan dan budaya

Berikut adalah petikan daripada staronline bertarikh 28Jan:

1. The Government has funds for research but it has not been distributed because of conventional mindsets

2. people in charge of these funds look at research as an investment and expect returns.

3. Research is not about making profits. This kind of thinking is not up to date

4. Government should have an open mind and offer support even if the officers in charge do not understand some of the things involved.

5. research was all about acquiring information and making discoveries.

Sekarang di tahun 2010

Ketika ini sedang bertungkus lumus menyiapkan draf akhir untuk tujuan penerbitan. ia ada kena mengena dengan rangkaian neuron, teknik penormalan keatas imej (dalam kes ini, imej muka).

Kalau ada rezeki, boleh saya terangkan semua detail-detailnya kemudian.

Oh ya, selamat tahun baru 2010.