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An OPERA inspired classical model reproducing superluminal velocities

An OPERA inspired classical model reproducing superluminal velocities

: ๋ณธ ๋…ผ๋ฌธ์€ ์ค‘์„ฑ๋ฏธ์ž์˜ ์ดˆ๊ด‘์† ์ธก์ •์— ๋Œ€ํ•œ ํšŒ์˜์ ์ธ ๊ด€์ ์„ ์ œ์‹œํ•˜๋ฉฐ, ์ด๋ฅผ ์œ„ํ•ด ํ†ต๊ณ„์  ๋ฐฉ๋ฒ•๋ก ๊ณผ ๊ณ ์ „ ๋ฌผ๋ฆฌํ•™ ์›๋ฆฌ๋ฅผ ํ™œ์šฉํ•œ๋‹ค. ํŠนํžˆ, OPERA ์‹คํ—˜์—์„œ ๋„์ถœ๋œ ๊ฒฐ๊ณผ๋ฅผ ์žฌํ•ด์„ํ•˜๊ณ  ๊ทธ ์ด๋ฉด์— ์กด์žฌํ•˜๋Š” ์ˆ˜ํ•™์  ๊ฐœ๋…์„ ๋ช…ํ™•ํžˆ ํ•˜๊ธฐ ์œ„ํ•œ ๋ชฉ์ ์œผ๋กœ ์ž‘์„ฑ๋˜์—ˆ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  OPERA ํ˜‘์—…์€ ์ค‘์„ฑ๋ฏธ์ž๊ฐ€ ๋น›์˜ ์†๋„๋ฅผ ์ดˆ๊ณผํ•œ๋‹ค๋Š” ๋†€๋ผ์šด ๊ฒฐ๊ณผ๋ฅผ ๋ฐœํ‘œํ–ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ์— ๋Œ€ํ•ด ํšŒ์˜์ ์ธ ์ž…์žฅ์„ ์ทจํ•˜๋ฉฐ, ํ†ต๊ณ„์  ์˜ค๋ฅ˜ ๊ฐ€๋Šฅ์„ฑ๊ณผ ๊ณ ์ „ ๋ฌผ๋ฆฌํ•™ ์›๋ฆฌ๋ฅผ ํ†ตํ•ด ์ด๋ฅผ ์žฌํ•ด์„ํ•˜๋ ค๊ณ  ํ•œ๋‹ค. 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก  ๊ฐ€์ • ๋ฐ ๋ชจ๋ธ๋ง: ํ™•๋ฅ  ๋ฐ€

Physics Model HEP-PH HEP-EX
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The Asymptotic Mandelbrot Law of Some Evolution Networks

๋ณธ ๋…ผ๋ฌธ์€ ๋ณต์žกํ•œ ๋„คํŠธ์›Œํฌ์—์„œ ๊ด€์ฐฐ๋˜๋Š” ๋งŒ๋ธ๋ธŒ๋กœํŠธ ๋ฒ•์น™์— ๋Œ€ํ•œ ์—„๋ฐ€ํ•œ ์ˆ˜ํ•™์  ์ฆ๋ช…์„ ์ œ๊ณตํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์„ ํ˜• ์„ ํ˜ธ ๋ถ€์ฐฉ ๋ชจ๋ธ์ด ์–ด๋–ป๊ฒŒ ์ด๋Ÿฌํ•œ ํŠน์„ฑ์„ ์ƒ์„ฑํ•˜๋Š”์ง€ ๊นŠ๊ฒŒ ๋ถ„์„ํ•œ๋‹ค. ๋…ผ๋ฌธ์€ ์ฃผ์š” ์„ธ ๊ฐ€์ง€ ๊ทผ์‚ฌ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ฐจ์ˆ˜ ๋ถ„ํฌ์˜ ๊ทนํ•œ ํ˜•ํƒœ๋ฅผ ์œ ๋„ํ•˜๊ณ , ๊ฐ ๋ฐฉ๋ฒ•์˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•œ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ์ค‘์š”์„ฑ ๋ณต์žก ๋„คํŠธ์›Œํฌ๋Š” ๋‹ค์–‘ํ•œ ํ•™๋ฌธ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ๊ด€์‹ฌ ๋Œ€์ƒ์ด๋‹ค. ํŠนํžˆ, ์ด๋Ÿฌํ•œ ๋„คํŠธ์›Œํฌ์˜ ๊ทœ๋ชจ ์ž์œ  ํŠน์„ฑ์€ ๊ทธ ๋ณดํŽธ์„ฑ๊ณผ ์ค‘์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๋ฉฐ, ์ด๋Š” ๋„คํŠธ์›Œํฌ ๋‚ด ๋…ธ๋“œ๋“ค์˜ ์ฐจ์ˆ˜ ๋ถ„ํฌ๊ฐ€ ์ „๋ ฅ๋ฒ•์น™์— ๋”ฐ๋ผ ๊ฒฐ์ •๋œ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๋ฐ”๋ฐ”๋ผ์‹œ์™€

Computer Science Physics Social Networks Network
A Statistical Significance Simulation Study for the General Scientist

A Statistical Significance Simulation Study for the General Scientist

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ํ†ต๊ณ„์  ์œ ์˜์„ฑ์€ ๊ณผํ•™์ž๋“ค์ด ์ž์‹ ์˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š”๋ฐ, ์ด๋Š” ๊ด€์ฐฐ๋œ ์ฐจ์ด๊ฐ€ ์šฐ์—ฐํžˆ ๋ฐœ์ƒํ•œ ๊ฒƒ์ผ ๊ฐ€๋Šฅ์„ฑ์ด ๋งค์šฐ ๋‚ฎ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ p ๊ฐ’์ด 0.05 ๋ฏธ๋งŒ์ธ ๊ฒฝ์šฐ ํ†ต๊ณ„์  ์œ ์˜์„ฑ์„ ์ธ์ •ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ณธ ๋…ผ๋ฌธ์€ ํ‘œ๋ณธ ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๋‘ ๊ทธ๋ฃน ๊ฐ„์˜ ์ฐจ์ด๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜๊ฒŒ ์ž‘์•„์ง€๋Š” ํ˜„์ƒ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋กœ ์ธํ•ด p ๊ฐ’ ์ž„๊ณ„์น˜(p<0.05)๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ๊ณผํ•™์ž๋“ค์—๊ฒŒ ๋งค์šฐ ๋‚ฎ์€ ๊ธฐ์ค€์„ ์„ค์ •ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์ง€์ ํ•œ๋‹ค. 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‘ ์ƒ˜ํ”Œ t ๊ฒ€์ •์„ ์‚ฌ์šฉํ•˜์—ฌ

Statistics Applications Physics
On the average of inconsistent data

On the average of inconsistent data

์ด ๋…ผ๋ฌธ์€ ๊ฐ€์šฐ์Šค ๋งˆ์ฝ”ํ”„ ์ •๋ฆฌ(Gauss Markov Theorem)๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ, ์ผ๊ด€๋˜์ง€ ์•Š์€ ์ธก์ • ๋ฐ์ดํ„ฐ์—์„œ ์ตœ์ ์˜ ์ถ”์ •์น˜๋ฅผ ์ฐพ๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ๊นŠ๊ฒŒ ํƒ๊ตฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํŠนํžˆ ํ”Œ๋ž‘ํฌ ์ƒ์ˆ˜(h) ๊ฐ’์„ ์˜ˆ์‹œ๋กœ ๋“ค์–ด, ๋ถˆ์ผ์น˜ ๋ฐ์ดํ„ฐ์—์„œ ์ตœ์ ์˜ ์ธก์ •๊ฐ’์„ ์„ ํƒํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๊ฐ€์šฐ์Šค ๋งˆ์ฝ”ํ”„ ์ •๋ฆฌ์™€ ๊ทธ ํ•œ๊ณ„ ๊ฐ€์šฐ์Šค ๋งˆ์ฝ”ํ”„ ์ •๋ฆฌ๋Š” ์ผ์ •ํ•œ ๊ฐ’์˜ ์ธก์ •๊ฐ’๊ณผ ๊ด€๋ จ๋œ ๋ถˆํ™•์‹ค์„ฑ์„ ์ฃผ์–ด์ง„ ๊ฒฝ์šฐ, ํŽธํ–ฅ์ด ์—†๋Š” ์ตœ์†Œ ๋ถ„์‚ฐ ์ถ”์ •์น˜๋Š” ๊ฐ€์ค‘ ํ‰๊ท ์ด๋ผ๋Š” ๊ฒƒ์„ ๋ช…์‹œํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹ค์ œ ๋ฐ์ดํ„ฐ์—์„œ๋Š” ์ด ๊ฐ€์ •์ด ์ž์ฃผ ํ‹€๋ฆฌ๋ฉฐ, ฯ‡ยฒ ๋˜๋Š” ๋ฒ„์ง€ ๋น„์œจ(Bir

Physics Data
Solution to Banff 2 Challenge Based on Likelihood Ratio Test

Solution to Banff 2 Challenge Based on Likelihood Ratio Test

: ๋ณธ ๋…ผ๋ฌธ์€ LHC์˜ ๋ฐœ๊ฒฌ ์ฃผ์žฅ๊ณผ ๊ด€๋ จ๋œ ํ†ต๊ณ„์  ๋ฌธ์ œ์— ๋Œ€ํ•œ ํ•ด๊ฒฐ์ฑ…์„ ์ œ์‹œํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์–ป์–ด์ง„ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2010๋…„ 7์›” ์บ๋‚˜๋‹ค ์•จ๋ฒ„ํƒ€์ฃผ ๋ฐดํ”„์—์„œ ์—ด๋ฆฐ ํšŒ์˜๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜๋ฉฐ, ํ† ๋งˆ์Šค ์ฅฌํฌ๊ฐ€ ์ฃผ๋„ํ•œ ๊ฒฝ์Ÿ์—์„œ ๋‚˜์˜จ ๊ฒฐ๊ณผ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ๋ฌธ์ œ ์ •์˜์™€ ํ•ด๊ฒฐ ๋ฐฉ์•ˆ ๋…ผ๋ฌธ์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๋Š”๋ฐ, ์ฒซ ๋ฒˆ์งธ ๋ฌธ์ œ๋Š” '๋‹ค๋ฅธ ๊ณณ์—์„œ ์ฐพ๊ธฐ' ํšจ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด๋ฉฐ, ์ด๋Š” ์งˆ๋Ÿ‰ ์ŠคํŽ™ํŠธ๋Ÿผ์—์„œ ๊ฐ€๋Šฅํ•œ ์‹ ํ˜ธ๋ฅผ ๊ฒ€์ƒ‰ํ•˜๋Š” ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ๋ฌธ์ œ๋Š” ๋ฐฐ๊ฒฝ์ด๋‚˜ ์‹ ํ˜ธ์˜ ์•Œ๋ ค์ง„ ๋ถ„ํฌ๊ฐ€ ์—†์„ ๋•Œ ๋ชฌํ…Œ์นด๋ฅผ๋กœ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ถ”์ •ํ•ด์•ผ

Physics
5,000,000 Delays -- Some Statistics

5,000,000 Delays -- Some Statistics

: ๋ณธ ๋…ผ๋ฌธ์€ VLBI ์ง€์—ฐ ์‹œ๊ฐ„ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์ฒœ๋ฌธํ•™์˜ ์žฅ๊ธฐ์  ๋ฐœ์ „์„ ๋ถ„์„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 5,000,000๊ฐœ ์ด์ƒ์˜ VLBI ์ง€์—ฐ ์‹œ๊ฐ„์ด ์ˆ˜์ง‘๋œ ๊ฒƒ์€ ์ฒœ๋ฌธํ•™ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์ด์ •ํ‘œ๋กœ, ์ด๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ํ†ต๊ณ„์™€ ํŒจํ„ด์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ด€์ธก ์„ธ์…˜๊ณผ ์—ญ๋Ÿ‰ ๋ถ„์„ ๊ด€์ธก ์„ธ์…˜์€ 24์‹œ๊ฐ„ ์„ธ์…˜์ด ๊ฐ€์žฅ ๋งŽ์ด ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์ด๋Š” ์—ฐ๊ตฌ์˜ ์ค‘์š”์„ฑ์„ ๋ฐ˜์˜ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, 18์‹œ๊ฐ„ ์ด์ƒ ์ง€์†๋œ ์„ธ์…˜ ์ˆ˜๊ฐ€ ์ „์ฒด ์„ธ์…˜ ์ค‘ ์ƒ๋‹น ๋ถ€๋ถ„์„ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์žฅ๊ธฐ ๊ด€์ธก์€ ๋ฐ์ดํ„ฐ์˜ ์ •ํ™•์„ฑ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ๋†’์ด๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ์—ญ๋Ÿ‰ ๋ถ„์„์—์„œ

Physics
Electrostatic accelerometer with bias rejection for deep space   gravitation tests

Electrostatic accelerometer with bias rejection for deep space gravitation tests

์ด ๋…ผ๋ฌธ์€ ์šฐ์ฃผ ์ค‘๋ ฅ ์‹คํ—˜์„ ์œ„ํ•œ ๊ณ ๋„๋กœ ์ •๊ตํ•œ ์ „๊ธฐ ๊ฐ€์†๋„๊ณ„์ธ ๋ฏธํฌ๋กœ์Šคํƒ€๋ฅด(MicroSTAR)์™€ ๋ฐ”์ด์–ด์Šค ์žฌ๊ฑฐ์ ˆ ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์‹ฌ์ธต ๋ถ„์„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์šฐ์ฃผ์—์„œ์˜ ๋น„์ค‘๋ ฅ ํ™˜๊ฒฝ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ทนํžˆ ๋ฏธ์„ธํ•œ ๊ฐ€์†๋„๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ๋ฏธํฌ๋กœ์Šคํƒ€๋ฅด(MicroSTAR)์™€ ๋ฐ”์ด์–ด์Šค ์žฌ๊ฑฐ์ ˆ ์‹œ์Šคํ…œ ๋ฏธํฌ๋กœ์Šคํƒ€๋ฅด : ์ด๋Š” ์ „ํ•˜ ๊ฐ€์†๋„๊ณ„๋กœ, Onera์—์„œ ๊ฐœ๋ฐœ๋œ ์˜จ๋ผ ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ์œ„์„ฑ์˜ ๋น„์ค‘๋ ฅ ํ™˜๊ฒฝ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ทนํžˆ ๋ฏธ์„ธํ•œ ๊ฐ€์†๋„๋ฅผ ์ธก์ •ํ•ฉ๋‹ˆ๋‹ค. ์ธก์ • ๋…ธ์ด์ฆˆ๋Š” 1.8 ร— 10^ 4 mยทs^ 2 ๋ฒ”

General Relativity Physics
How to produce discreet Gaussian sequences: Algorithm and code

How to produce discreet Gaussian sequences: Algorithm and code

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ๊ฐ€์šฐ์Šค ๋ถ„ํฌ ์‹œํ€€์Šค ์ƒ์„ฑ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ์ฝ”๋“œ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๊ฐ€์šฐ์Šค ๋ถ„ํฌ ํ•จ์ˆ˜๋Š” ์ˆ˜ํ•™ ๋ชจ๋ธ๋ง, ๋ฌผ๋ฆฌํ•™, ์–‘์ž ํ™”ํ•™, ํ•ต๋ฌผ๋ฆฌํ•™, ๋ฐ˜๋„์ฒด ์žฅ์น˜ ๋“ฑ ๋‹ค์–‘ํ•œ ๊ณผํ•™ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ๋ถ„์ž ๋™์—ญํ•™ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ๋Š” ๊ฐ€์šฐ์Šค ๋ถ„ํฌ๋ฅผ ๋”ฐ๋ฅด๋Š” ์‹œํ€€์Šค ์ƒ์„ฑ์ด ํ•„์ˆ˜์ ์ž…๋‹ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์ด๋Ÿฌํ•œ ์‹œํ€€์Šค๋ฅผ ์ƒ์„ฑํ•˜๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ C++ ์ฝ”๋“œ๋ฅผ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ๊ฐ€์šฐ์Šค ๋ถ„ํฌ ํ•จ์ˆ˜๋Š” ํ‰๊ท  ฮผ์™€ ํ‘œ์ค€ ํŽธ์ฐจ ฯƒ๋กœ ํ‘œํ˜„๋˜๋ฉฐ, ์ด ํ•จ์ˆ˜์˜ ๊ทน์ ์€ z ฮผ์—์„œ ๋ฐœ์ƒํ•˜๊ณ , z ฮผ ยฑ 1.2ฯƒ์—์„œ๋Š” ํŠน์ • ๊ฐ’์„ ๊ฐ€์ง‘๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ์‚ฌ์šฉ๋˜๋Š”

Physics
Two methods for the light curves extrema determination

Two methods for the light curves extrema determination

๋ณธ ๋…ผ๋ฌธ์€ ๋ณ€๊ด‘์„ฑ ๋ณ„์˜ ๋น› ๊ณก์„ ์—์„œ ๊ทน๋Œ€๊ฐ’๊ณผ ๊ทน์†Œ๊ฐ’์„ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•œ ๋‘ ๊ฐ€์ง€ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ฒœ์ฒด๋ฌผ๋ฆฌํ•™ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ๋ฌธ์ œ ์ค‘ ํ•˜๋‚˜์ธ ๋ณ€๊ด‘์„ฑ ๋ณ„์˜ ์‹œ๊ฐ„ ์‹œ๋ฆฌ์ฆˆ ๋ฐ์ดํ„ฐ ๋ถ„์„์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์œผ๋ฉฐ, ํŠนํžˆ ๋น„์ฃผ๊ธฐ์ ์ธ ๋ณ€๊ด‘ ๋˜๋Š” ์ฃผ๊ธฐ์ ์ธ ๋น› ๊ณก์„ ์„ ๋ณด์ด๋Š” ์ฒœ์ฒด์— ๋Œ€ํ•œ ๊ทน๊ฐ’ ๊ฒฐ์ • ๋ฐฉ๋ฒ•์„ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. 1. ์„ ํ˜• ํšŒ๊ท€ ๋ถ„์„์„ ์ด์šฉํ•œ ๊ทน๋Œ€๊ฐ’ ๊ฒฐ์ • ์ฒซ ๋ฒˆ์งธ ์ ‘๊ทผ ๋ฐฉ์‹์€ ์„ ํ˜• ํšŒ๊ท€ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ทน๋Œ€ ๋ฐ ๊ทน์†Œ ์‹œ๊ฐ„์„ ๊ฒฐ์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์ด๋‹ค. ์ด ๋ฐฉ๋ฒ•์—์„œ๋Š” ๊ด€์ธก๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฒกํ„ฐ Y์™€ t๋กœ ํ‘œํ˜„ํ•˜๊ณ , ๊ฐ๊ฐ์˜ ์ธก์ • ๊ฐ’์— ๊ฐ€์ค‘์น˜ w

Physics Astrophysics
Gravitational constant calculation methodologies

Gravitational constant calculation methodologies

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ์ค‘๋ ฅ ์ƒ์ˆ˜(G)๋Š” ์ค‘๋ ฅ์„ ์ดํ•ดํ•˜๊ณ , ์šฐ์ฃผ์™€ ์ง€๊ตฌ ๋‚ด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋‹ค์–‘ํ•œ ํ˜„์ƒ์„ ์„ค๋ช…ํ•˜๋Š”๋ฐ ํ•„์ˆ˜์ ์ธ ๋ฌผ๋ฆฌ ์ƒ์ˆ˜์ด๋‹ค. ์ด ๋…ผ๋ฌธ์€ G์˜ ์ •ํ™•ํ•œ ๊ณ„์‚ฐ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๊ณผํ•™ ๋ฐ ๊ณตํ•™ ๋ถ„์•ผ์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ํƒ์ƒ‰ํ•œ๋‹ค. 2. ์—ฐ๊ตฌ ๋ชฉ์  ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ์„ธ ๊ฐ€์ง€ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์ค‘๋ ฅ ์ƒ์ˆ˜(G)๋ฅผ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ๊ฒ€ํ† ํ•˜๋ฉฐ, ํŠนํžˆ ๋น„๊ท ์ผ ๊ฐ€์Šค ํ๋ฆ„์ด G ๊ฐ’์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด G์˜ ์ •ํ™•ํ•œ ๊ฐ’์„ ์–ป๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•œ๋‹ค. 3. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ฐฉ๋ฒ• 1: ๋ถˆ์กฐํ™” ์ง„๋™

Physics
No Image

Top-quark pair cross-section measurement in the lepton+jets channel

์ด ๋…ผ๋ฌธ์€ LHC ์ดˆ๊ธฐ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๊ธฐ๊ฐ„ ๋™์•ˆ tt ์Œ์˜ ๊ต์ฐจ ์ ˆ๋‹จ(cross section) ์ธก์ •์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํผํŠธ๋ฅด๋ธŒ QCD ์˜ˆ์ธก์˜ ์ •ํ™•์„ฑ์„ ๊ฒ€์ฆํ•˜๊ณ , ์ดˆ์›” ํ‘œ์ค€ ๋ชจ๋ธ ๋ฌผ๋ฆฌํ•™ ํƒ์ƒ‰์—์„œ ์ค‘์š”ํ•œ ๋ฐฐ๊ฒฝ์„ ํ˜•์„ฑํ•˜๋ฉฐ, ์ƒˆ๋กœ์šด ๋ฌผ๋ฆฌํ•™ ํƒ์‚ฌ์˜ ์ฒซ๊ฑธ์Œ์ด ๋˜๋Š” ์ธก์ •์— ์ค‘์ ์„ ๋‘”๋‹ค. 1. ์ด๋ก ์  ๋ฐฐ๊ฒฝ ๋ฐ ์ค‘์š”์„ฑ tt ์Œ์˜ ๊ต์ฐจ ์ ˆ๋‹จ์€ pp ์ถฉ๋Œ์—์„œ ์œ„ ์ฟผํฌ์™€ ๋ฐ˜์œ„ ์ฟผํฌ๊ฐ€ ์ƒ์„ฑ๋˜๋Š” ํ™•๋ฅ ์„ ๋‚˜ํƒ€๋‚ธ๋‹ค. ์ด ์ธก์ •์€ ํผํŠธ๋ฅด๋ธŒ QCD ์˜ˆ์ธก๊ณผ ์ง์ ‘ ๋น„๊ตํ•˜์—ฌ ๊ทธ ์ •ํ™•๋„๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋œ๋‹ค. ๋˜ํ•œ, tt ์ƒ์‚ฐ์€ ์ดˆ์›” SM ๋ฌผ

Physics HEP-EX
No Image

Markov-Binary Visibility Graph: a new method for analyzing Complex Systems

์ฃ„์†กํ•ฉ๋‹ˆ๋‹ค, ํ•˜์ง€๋งŒ ์ œ๊ณต๋œ ํ…์ŠคํŠธ ์กฐ๊ฐ์—๋Š” ์‹ค์ œ ๋‚ด์šฉ์ด ํฌํ•จ๋˜์–ด ์žˆ์ง€ ์•Š์•„์„œ ๋…ผ๋ฌธ์˜ ์ดˆ๋ก์ด๋‚˜ ์‹ฌ๋„ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์˜ ๋ณธ๋ฌธ ๋˜๋Š” ์ค‘์š”ํ•œ ๋ถ€๋ถ„์„ ํฌํ•จํ•˜๋Š” ์ถ”๊ฐ€ ์ •๋ณด๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ๋งŒ์•ฝ ๋…ผ๋ฌธ์˜ ํŠน์ • ์„น์…˜์ด๋‚˜ ์š”์•ฝ, ๊ทธ๋ž˜ํ”„, ํ‘œ ๋“ฑ์„ ์ œ๊ณตํ•ด ์ฃผ์‹ค ๊ฒฝ์šฐ, ๊ทธ์— ๋”ฐ๋ฅธ ๋ถ„์„๊ณผ ๋ฒˆ์—ญ์„ ๋„์™€๋“œ๋ฆด ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Physics Nonlinear Sciences System
Weighted Radial Variation for Node Feature Classification

Weighted Radial Variation for Node Feature Classification

๋ณธ ๋…ผ๋ฌธ์€ ๋ณต์žกํ•œ ๋„คํŠธ์›Œํฌ์—์„œ ๋…ธ๋“œ ํŠน์„ฑ ๋ถ„๋ฅ˜์˜ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์ธ ๊ฐ€์ค‘ ๋ฐฉ์‚ฌ ๋ณ€์ด(WRV) ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. WRV๋Š” ๊ฐ ๋…ธ๋“œ์— ๋Œ€ํ•œ ๋ฒกํ„ฐ ํ๋ฆ„ ๊ตฌ์„ฑ์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ, ์นด๋ฅด๋””๋‚˜๋ฆฌํ‹ฐ(๋…ธ๋“œ ๊ฐ„ ์—ฐ๊ฒฐ ์ˆ˜), ๋ฐฉํ–ฅ, ๊ธธ์ด, ๊ทธ๋ฆฌ๊ณ  ํ๋ฆ„ ํฌ๊ธฐ์˜ ์ธก๋ฉด์—์„œ ๋™๊ธฐํ™”๋œ ๊ฐ ์—”ํ‹ฐํ‹ฐ์˜ ๋ฒกํ„ฐ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋ณต์žกํ•œ ๋„คํŠธ์›Œํฌ ๋ถ„์„์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š”๋ฐ, ํŠนํžˆ ๋น„์ธ์ ‘ ๊ณต๊ฐ„์— ์—ฐ๊ฒฐ๋˜๋Š” ์ธ๊ฐ„๊ณผ ์ •๋ณด ํ๋ฆ„์˜ ๋ณต์žกํ•œ ์—ญํ•™์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค. WRV ๊ณผ์ •์€ ๋ณ„ ๋ชจ์–‘ ์—”ํ‹ฐํ‹ฐ์˜ ๊ฐœ๋ณ„ ํ๋ฆ„ ๋ฒกํ„ฐ๋ฅผ 0 360ยฐ ์ŠคํŽ™ํŠธ๋Ÿผ์— ํŽผ์ณ ๋…ํŠนํ•œ ์‹ ํ˜ธ๋ฅผ ํ˜•์„ฑํ•˜๋ฉฐ, ์ด

Computer Science Computer Vision Physics

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