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ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms

ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms

ROOT13์€ ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ(NLP) ๋ถ„์•ผ์—์„œ ํ•˜์ดํผ๋‹ˆ๋ฆ„, ๊ณตํžˆํฌ๋ช… ๋ฐ ๋ฌด์ž‘์œ„ ๋‹จ์–ด๋ฅผ ๊ตฌ๋ณ„ํ•˜๋Š” ์ค‘์š”ํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•œ ํ•ด๊ฒฐ์ฑ…์„ ์ œ์‹œํ•œ๋‹ค. ์ด ๋…ผ๋ฌธ์˜ ํ•ต์‹ฌ์€ ๋žœ๋ค ํฌ๋ ˆ์ŠคํŠธ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ 13๊ฐœ์˜ ๋น„๊ฐ๋… ์ฝ”ํผ์Šค ๊ธฐ๋ฐ˜ ํŠน์ง•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋Ÿฌํ•œ ๋‹จ์–ด ๊ด€๊ณ„๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ๋ถ„๋ฅ˜ํ•˜๋Š” ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•œ ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ์ค‘์š”์„ฑ ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ์—์„œ ํ•˜์ดํผ๋‹ˆ๋ฆ„, ๊ณตํžˆํฌ๋ช… ๊ทธ๋ฆฌ๊ณ  ๋ฌด์ž‘์œ„ ๋‹จ์–ด์˜ ๊ตฌ๋ณ„์€ ํ•ต์‹ฌ์ ์ธ ๊ณผ์ œ์ด๋‹ค. ์ด๋Š” ์‚ฌ์ „ ์ž‘์„ฑ, ๋ฌธ์žฅ ์žฌ๊ตฌ์„ฑ, ํ…์ŠคํŠธ ํ•จ์˜ ๋ถ„์„ ๋“ฑ ๋‹ค์–‘ํ•œ ์‘์šฉ ๋ถ„์•ผ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ํŠนํžˆ, ํ•˜์ดํผ๋‹ˆ๋ฆ„๊ณผ ๊ณตํžˆํฌ๋ช…์€ ์˜๋ฏธ์  ๊ด€๊ณ„๋ฅผ ์ดํ•ดํ•˜๋Š”

Computer Science NLP
Proof of the Irrationality of the Square Root of Two in Babylonian   Geometry Problem Tablets

Proof of the Irrationality of the Square Root of Two in Babylonian Geometry Problem Tablets

๋ณธ ๋…ผ๋ฌธ์€ ๊ทธ๋ฆฌ์Šค ์ˆ˜ํ•™์—์„œ ์œ ๋ช…ํ•œ ์ œ๊ณฑ๊ทผ 2์˜ ๋น„ํ•ฉ๋ฆฌ์„ฑ ์ฆ๋ช…์„ ๋ฐ”๋นŒ๋กœ๋‹ˆ์•„ ๊ธฐํ•˜ํ•™ ๋ฌธ์ œํŒ์— ๋‹ด๊ธด ๋‚ด์šฉ์œผ๋กœ ์žฌํ•ด์„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๊ณ ๋Œ€ ์ˆ˜ํ•™์‚ฌ์—์„œ ์ค‘์š”ํ•œ ์ „ํ™˜์ ์ด ๋  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์œผ๋ฉฐ, ํŠนํžˆ ๊ทธ๋ฆฌ์Šค ์ˆ˜ํ•™์ž๋“ค์ด ์ฒ˜์Œ์œผ๋กœ ์ด๋Ÿฌํ•œ ์‚ฌ์‹ค์„ ๋ฐœ๊ฒฌํ–ˆ๋‹ค๋Š” ์ผ๋ฐ˜์ ์ธ ์ธ์‹์— ๋„์ „ํ•˜๋Š” ๋‚ด์šฉ์ž…๋‹ˆ๋‹ค. 1. ์ œ๊ณฑ๊ทผ 2์˜ ๋น„ํ•ฉ๋ฆฌ์„ฑ ์ฆ๋ช…: ๊ทธ๋ฆฌ์Šค์™€ ๋ฐ”๋นŒ๋กœ๋‹ˆ์•„ ์ œ๊ณฑ๊ทผ 2๊ฐ€ ๋น„ํ•ฉ๋ฆฌ์ˆ˜์ž„์„ ์ฆ๋ช…ํ•˜๋Š” ๊ฒƒ์€ ์ˆ˜ํ•™์‚ฌ์—์„œ ์ค‘์š”ํ•œ ์ด์ •ํ‘œ ์ค‘ ํ•˜๋‚˜์ž…๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ์Šค ์ˆ˜ํ•™์ž๋“ค์€ ์ด๋ฅผ ๋Œ€์ˆ˜์  ๋ฐฉ๋ฒ•์œผ๋กœ ์ฆ๋ช…ํ•˜์˜€๋Š”๋ฐ, ์ด๋Š” ๋ชจ์ˆœ๋ฒ•์„ ํ†ตํ•ด ์ง„ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ฆ‰, ์ œ๊ณฑ๊ทผ 2๋ฅผ ํ•ฉ๋ฆฌ์ˆ˜๋กœ ๊ฐ€์ •ํ•˜๊ณ 

Mathematics
Modeling and Estimation of the Risk When Choosing a Provider

Modeling and Estimation of the Risk When Choosing a Provider

: ๋ณธ ์—ฐ๊ตฌ๋Š” ์•„์›ƒ์†Œ์‹ฑ ์ œ๊ณต์—…์ฒด ์„ ์ • ์‹œ ๊ธฐ์—…์ด ์ง๋ฉดํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ์œ„ํ—˜ ์š”์ธ์„ ์ฒด๊ณ„์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด, ๊ธฐ์—…์€ ์˜์‚ฌ๊ฒฐ์ • ์ง€์› ์‹œ์Šคํ…œ(DSS)์„ ํ™œ์šฉํ•˜์—ฌ ์ตœ์ ์˜ ์•„์›ƒ์†Œ์‹ฑ ์ „๋žต์„ ์„ ํƒํ•  ์ˆ˜ ์žˆ๋‹ค. 1. ์™ธ๋ถ€ ๋ฐ ๋‚ด๋ถ€ ์œ„ํ—˜ ๋ถ„์„ ์™ธ๋ถ€ ์œ„ํ—˜ : ๊ฒฝ์ œ์  ์œ„ํ—˜(๊ฐ€๊ฒฉ, ํ™˜์œจ, ํ†ตํ™” ๋ฐ ์‹œ์žฅ ์œ„ํ—˜), ํ–‰์ •์  ์œ„ํ—˜(๋ฒ•์  ๋ฌธ์„œ ๋ณ€๊ฒฝ, ๊ฒฐ์ œ ๊ด€๋ จ ์œ„ํ—˜), ์•„์›ƒ์†Œ์‹ฑ ์„œ๋น„์Šค ์ œ๊ณต์—…์ฒด ๊ด€๋ จ ์œ„ํ—˜(๊ณ„์•ฝ ์œ„๋ฐ˜, ์ •๋ณด ์œ ์ถœ, ๊ฐ€๊ฒฉ ์ƒ์Šน) ๋“ฑ์ด ํฌํ•จ๋œ๋‹ค. ๋‚ด๋ถ€ ์œ„ํ—˜ : ์ •๋ณด ์œ„ํ—˜(์ •๋ณด ์ˆ˜์‹  ์ง€์—ฐ), ๊ฐœ์ธ ์œ„ํ—˜(์˜์‚ฌ๊ฒฐ์ •์ž์˜ ์ „๋ฌธ์„ฑ ๋ถ€์กฑ

Applications Quantitative Finance Statistics Model
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Designing for Different Stages in Behavior Change

๋ณธ ๋…ผ๋ฌธ์€ ์‹ ์ฒด ํ™œ๋™ ์ถ”์ ๊ธฐ์˜ ์‹คํŒจ ์›์ธ๊ณผ ๊ทธ ํ•ด๊ฒฐ์ฑ…์— ๋Œ€ํ•ด ์‹ฌ๋„ ์žˆ๊ฒŒ ๋ถ„์„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ํ–‰๋™ ๋ณ€ํ™” ๊ณผ์ •์˜ ์—ญ๋™์„ฑ๊ณผ ๊ธฐ์ˆ ์˜ ์ •์ ์ธ ์„ค๊ณ„ ์‚ฌ์ด์˜ ๋ถˆ์ผ์น˜๋ฅผ ๊ฐ•์กฐํ•˜๋ฉฐ, ๊ฐœ์ธํ™”๋œ ๋งž์ถคํ˜• ๊ธฐ์ˆ  ๊ฐœ๋ฐœ์˜ ํ•„์š”์„ฑ์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. 1. ์‹ ์ฒด ํ™œ๋™ ์ถ”์ ๊ธฐ ์‹คํŒจ ์›์ธ ๋ถ„์„ ์‹ ์ฒด ํ™œ๋™ ์ถ”์ ๊ธฐ๋Š” ์ดˆ๊ธฐ์—๋Š” ํฐ ๊ธฐ๋Œ€๋ฅผ ๋ชจ์•˜์ง€๋งŒ, ์‹ค์ œ ์‚ฌ์šฉ ๊ฒฐ๊ณผ๋Š” ๋งŒ์กฑ์Šค๋Ÿฝ์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. Fitbit๊ณผ ๊ฐ™์€ ๊ธฐ๊ธฐ๋ฅผ ์ฒ˜์Œ ๋‘ ์ฃผ ์•ˆ์— ํฌ๊ธฐํ•˜๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ๋งŽ์•˜์œผ๋ฉฐ, ํ™œ๋™ ์ถ”์  ์•ฑ์„ ๋‹ค์šด๋กœ๋“œํ•œ ์‚ฌ์šฉ์ž์˜ 62%๊ฐ€ ์ฒซ ๋‘ ์ฃผ ์ด๋‚ด์— ์‚ฌ์šฉ์„ ์ค‘๋‹จํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ๋‹จ์ˆœํžˆ ๊ธฐ์ˆ ์˜

Computer Science HCI
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Motivating Healthy Water Intake through Prompting, Historical Information, and Implicit Feedback

๋ณธ ๋…ผ๋ฌธ์€ ๊ฑด๊ฐ•ํ•œ ์ˆ˜๋ถ„ ์„ญ์ทจ ์Šต๊ด€ ํ˜•์„ฑ์„ ์œ„ํ•œ ๊ธฐ์ˆ ์  ์ ‘๊ทผ ๋ฐฉ์‹์„ ํƒ๊ตฌํ•˜๋ฉฐ, ํŠนํžˆ ์—…๋ฌด ํ™˜๊ฒฝ์—์„œ์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. Hydroprompt๋Š” ์‚ฌ์šฉ์ž์˜ ๋ฌผ ์„ญ์ทจ๋Ÿ‰์„ ๊ฐ์ง€ํ•˜๊ณ  ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์•Œ๋ฆผ, ์—ญ์‚ฌ์  ์ •๋ณด ์ œ๊ณต, ๊ทธ๋ฆฌ๊ณ  ์•”์‹œ์  ํ”ผ๋“œ๋ฐฑ์„ ํ™œ์šฉํ•˜์—ฌ ๊ฑด๊ฐ•ํ•œ ์ˆ˜๋ถ„ ์„ญ์ทจ ์Šต๊ด€ ํ˜•์„ฑ์„ ์ด‰์ง„ํ•˜๋Š” ํ”„๋กœํ† ํƒ€์ž…์ž…๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ Hydroprompt์˜ ์„ค๊ณ„์™€ ํ‰๊ฐ€๋ฅผ ํ†ตํ•ด ์ด๋Ÿฌํ•œ ๊ธฐ์ˆ ์ด ์‹ค์ œ๋กœ ์‚ฌ์šฉ์ž์˜ ํ–‰๋™์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ๋ถ„์„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. Hydroprompt์˜ ์„ค๊ณ„ ๋ฐ ์ž‘๋™ ๋ฐฉ์‹ Hydroprompt๋Š” ์ฃผ๋ฐฉ ์ €์šธ์—

Computer Science HCI
Possible explanations of the Maunder minimum from a flux transport   dynamo model

Possible explanations of the Maunder minimum from a flux transport dynamo model

: ์„œ๋ก  ๋ถ„์„ ์„œ๋ก ์—์„œ ์ €์ž๋“ค์€ ํƒœ์–‘ ํ™œ๋™ ์ฃผ๊ธฐ ์ค‘ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ํŠน์ง• ์ค‘ ํ•˜๋‚˜์ธ ๋งˆ์šด๋” ์ตœ์†Œ๊ธฐ์— ๋Œ€ํ•ด ์„ค๋ช…ํ•œ๋‹ค. ์ด ๊ธฐ๊ฐ„ ๋™์•ˆ ํƒœ์–‘ ํ‘์  ์ˆ˜๊ฐ€ ํ˜„์ €ํžˆ ๊ฐ์†Œํ–ˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ์‚ฌ์‹ค์€ ์—ฌ๋Ÿฌ ์—ฐ๊ตฌ์—์„œ ํ™•์ธ๋˜์—ˆ๋‹ค(Ribes & Nesme Ribes, 1993; Hoyt & Schatten, 1996). ํŠนํžˆ, ์–‘ ๊ทน๋ฐ˜๊ตฌ ๋ชจ๋‘์—์„œ ํƒœ์–‘ ํ‘์  ์ˆ˜๊ฐ€ ๊ฑฐ์˜ ์ œ๋กœ์— ๊ฐ€๊นŒ์›Œ์กŒ์œผ๋ฉฐ ๋‚จ๋ฐ˜๊ตฌ์—์„œ๋Š” ๋งˆ์ง€๋ง‰ ๋‹จ๊ณ„์—์„œ ๋ช‡ ๊ฐœ์˜ ํ‘์ ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค(Ribes & Nesme Ribes, 1993). ์ฝ”์Šค๋ชจ์ œ๋‹‰ ๋™์œ„ ์›์†Œ ๋ฐ์ดํ„ฐ(Beer et al., 1998; Miyah

Model Astrophysics
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Cosmic-Ray Induced Diffuse Emissions from the Milky Way and Local Group Galaxies

: ์ด ๋…ผ๋ฌธ์€ ์šฐ์ฃผ์„ (CR)๊ณผ ๊ฐ„์ฒ™ ๋งค์งˆ(ISM), ๊ฐ„์ฒ™ ๋ณต์‚ฌ์žฅ(ISRF), ์ž๊ธฐ์žฅ์˜ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ๋ฐœ์ƒํ•˜๋Š” ํ™•์‚ฐ ๋ณต์‚ฌ๋ฅผ ํ†ตํ•ด ์€ํ•˜ ํ˜•์„ฑ ์€ํ•˜์ธ ์šฐ๋ฆฌ ์€ํ•˜(MW)์™€ ๋‹ค๋ฅธ ์€ํ•˜๋“ค์˜ ๊ด‘๋Œ€์—ญ ์ŠคํŽ™ํŠธ๋Ÿผ ์—๋„ˆ์ง€ ๋ถ„ํฌ(SED)๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ์ด ์—ฐ๊ตฌ๋Š” CR์ด ISM ์ „์ฒด์— ํผ์ ธ ์žˆ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ํ™•์‚ฐ ๋ณต์‚ฌ๊ฐ€ ๋ผ๋””์˜ค ์ฃผํŒŒ์ˆ˜์—์„œ ๊ณ ์—๋„ˆ์ง€ ๊ฐ๋งˆ์„ ๊นŒ์ง€์˜ ๊ด‘๋Œ€์—ญ ์ŠคํŽ™ํŠธ๋Ÿผ์„ ์•„์šฐ๋ฅธ๋‹ค๋Š” ์ ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ™•์‚ฐ ๋ณต์‚ฌ๋Š” ํ•ญ์„ฑ๊ณผ ๋จผ์ง€ ๊ตฌ์„ฑ๋ถ„์— ๋น„ํ•ด ๊ฐ•๋„๋Š” ๋‚ฎ์ง€๋งŒ, CR์˜ ์ง€๋ฐฐ์ ์ธ ํ•˜๋“œ๋ก  ์„ฑ๋ถ„์„ ์ ‘๊ทผํ•˜๋Š” ๋ฐ ๋งค์šฐ ์ค‘์š”ํ•œ ์—ญํ• 

Astrophysics
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Field amplification, vortex formation, and electron acceleration in a plasma protoshock: effect of asymmetric density profile

: ๋ณธ ๋…ผ๋ฌธ์€ ์ดˆ๊ณ ์—๋„ˆ์ง€ ๋ฐฉ์‚ฌ์„  ์‚ฌ๊ฑด ์ค‘ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง„ GRB์˜ ์ฆ‰๊ฐ์ ์ธ ๋ฐฉ์ถœ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ์ค‘์š”ํ•œ ๋‹จ๊ณ„๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ์ด ์—ฐ๊ตฌ๋Š” ํ”Œ๋ผ์ฆˆ๋งˆ ์ถฉ๊ฒฉ์—์„œ ์ž๊ธฐ์žฅ ์ฆํญ๊ณผ ์ „์ž ๊ฐ€์†์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€์Šต๋‹ˆ๋‹ค. 1. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค์ • ๋ฐ ์ดˆ๊ธฐ ์กฐ๊ฑด ๋…ผ๋ฌธ์€ ๋‘ ๊ฐœ์˜ ํ”Œ๋ผ์ฆˆ๋งˆ ๊ตฌ๋ฆ„์ด x 0์—์„œ ์ถฉ๋Œํ•˜๋Š” ์ƒํ™ฉ์„ ๋ชจ๋ธ๋งํ•ฉ๋‹ˆ๋‹ค. ์ด ์ค‘ ํ•˜๋‚˜๋Š” ๋ฐ€๋„๊ฐ€ ๋†’๊ณ  ๋‹ค๋ฅธ ํ•˜๋‚˜๋Š” ํฌ๋ฐ•ํ•œ ๊ตฌ๋ฆ„์œผ๋กœ, ๊ฐ๊ฐ์˜ ์ดˆ๊ธฐ ์ „์ž ๋ฐ ์ด์˜จ ์ˆ˜๋ฐ€๋„๋Š” n1๊ณผ n2 n1/10์ž…๋‹ˆ๋‹ค. ๋‘ ๊ตฌ๋ฆ„์€ ์„œ๋กœ ๋ฐ˜๋Œ€ ๋ฐฉํ–ฅ์œผ๋กœ x ์ถ•์— ๋Œ€ํ•ด ์ผ์ •ํ•œ ์†๋„๋กœ

Astrophysics
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Fluctuations of the depth of maximum in extensive air showers and cross-section of p-air inelastic interaction for energy range 10^15-10^17 eV

: ์ด ๋…ผ๋ฌธ์€ ์•ผ์ฟ ์ธ ํฌ ๋ฐฐ์—ด์„ ์ด์šฉํ•œ ์ดˆ๊ณ ์—๋„ˆ์ง€ ์šฐ์ฃผ์„ (UHECR)์˜ ๊ด€์ธก๊ณผ ๋ถ„์„์— ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฐ๊ตฌํŒ€์€ ๊ด‘ํ•™์ , ๋ฌด์˜จ์  ๋ฐ ์ฒด๋ Œ์ฝ”ํ”„ ์„ฑ๋ถ„๋“ค์„ ์ธก์ •ํ•˜์—ฌ ๊ด‘๋ฒ”์œ„ํ•œ ๊ณต๊ธฐ ์ƒค์›Œ(EAS)๋ฅผ ์—ฐ๊ตฌํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์ถฉ์ „ ์ž…์ž์™€ ๋ฌด์˜จ ์ž…์ž์˜ ๋ถ„ํฌ๋ฅผ 1 GeV ์ด์ƒ์œผ๋กœ ๊ด€์ฐฐํ•˜๊ณ , ์ฒด๋ Œ์ฝ”ํ”„ ๋น›์˜ ์ธก๋ฉด์„ ํ†ตํ•ด ๊ณต๊ธฐ ์ƒค์›Œ์˜ ์ˆ˜์ง ๋ฐœ๋‹ฌ์„ ์žฌ๊ตฌ์„ฑํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ธก์ •์€ ์ฒด๋ Œ์ฝ”ํ”„ ๋น›์˜ ๋Œ€๊ธฐ ๋ถ„ํฌ ์กฐ๊ฑด์— ์•ฝํ•˜๊ฒŒ ์˜์กดํ•˜์ง€๋งŒ, ์ƒค์›Œ ๊ธฐํ•˜ํ•™ ์žฌ๊ตฌ์„ฑ์—๋Š” ์ •ํ™•๋„๊ฐ€ ํฌ๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์—์„œ ์ค‘์š”ํ•œ ํฌ์ธํŠธ ์ค‘ ํ•˜๋‚˜๋Š” xโ‚™ ์ตœ๋Œ€ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ํƒ„์„ฑ

HEP-EX Astrophysics
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Jets and outflows in Radio Galaxies: implications for AGN feedback

: ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ํ•ด์ƒ๋„ X์„  ๋ถ„๊ด‘ํ•™์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ผ๋””์˜ค ๋ฐ์€(RL) ํ™œ๋™์€ํ•˜(AGN)์˜ ํ•ต ์ฃผ๋ณ€ ํ™˜๊ฒฝ์„ ํƒ๊ตฌํ•˜๋Š” ์ค‘์š”ํ•œ ๋ฐœ์ „์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ํŠนํžˆ, ์ด ์—ฐ๊ตฌ์—์„œ๋Š” 3C 382์™€ 3C 390.3์ด๋ผ๋Š” ๋‘ ๊ฐœ์˜ ๊ด‘์„  ์† ๋ผ๋””์˜ค ์€ํ•˜(BLRG)์—์„œ ๋”ฐ๋œปํ•œ ํก์ˆ˜์ž(WA)๋ฅผ ๋ฐœ๊ฒฌํ•˜๊ณ  ๊ทธ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์˜€์Šต๋‹ˆ๋‹ค. X์„  ๋ถ„๊ด‘ํ•™ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „ ๊ณ ํ•ด์ƒ๋„ X์„  ๋ถ„๊ด‘ํ•™์€ AGN ์ฃผ๋ณ€ ํ™˜๊ฒฝ์„ ํƒ๊ตฌํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ๋„๊ตฌ๋กœ ํ™œ์šฉ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” XMM Newton/๋ฐ˜์‚ฌ ๊ฒฉ์ž ๋ถ„๊ด‘๊ณ„(RGS) ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋‘ ๊ฐœ์˜ BLRG์—์„œ WA ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์˜€์Šต๋‹ˆ

Astrophysics
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Reductions of lattice mKdV to $q$-$mathrm{P}_{VI}$

์ด ๋…ผ๋ฌธ์€ ๋น„์ž์œจ์  ๋ผํŠธ๋ ˆ(lattice) ์ˆ˜์ •๋œ Korteweg de Vries (mKdV) ๋ฐฉ์ •์‹๊ณผ ์ œ6 ํŒŒ์ธ๋ ˆ๋น„(q Painlevรฉ VI) ๋ฐฉ์ •์‹ ์‚ฌ์ด์˜ ๊นŠ์€ ๊ด€๊ณ„๋ฅผ ํƒ๊ตฌํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ๋…ผ๋ฌธ์—์„œ๋Š” mKdV ๋ฐฉ์ •์‹์„ q P VI๋กœ ๊ฐ์ถ•ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋ฉฐ, ์ด ๊ณผ์ •์—์„œ ์ƒˆ๋กœ์šด Lax ์Œ์„ ๋„์ž…ํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•ด ์ดˆ์›”์  ์ด์‚ฐํ™”๋ฅผ ์ˆ˜ํ–‰ํ•˜์—ฌ u P VI๋ฅผ ์œ ๋„ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. 1. ๋น„์ž์œจ์  mKdV ๋ฐฉ์ •์‹๊ณผ q P VI์˜ ๊ด€๊ณ„ ๋…ผ๋ฌธ์€ ๋น„์ž์œจ์  mKdV ๋ฐฉ์ •์‹ (1) ฮฑl(ww ww) ฮฒm(ww ww) 0 ํ˜•ํƒœ๋ฅผ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ด ๋ฐฉ์ •

Nonlinear Sciences
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Spectrum and mass composition of cosmic rays in the energy range 10^15-10^18 eV derived from the Yakutsk array data

: 1. ์•ผ์ฟ ์ธ ํฌ ๋ฐฐ์—ด์˜ ๋…ํŠนํ•œ ์—ญํ•  ์•ผ์ฟ ์ธ ํฌ ๋ฐฐ์—ด์€ ์ฝ”์Šค๋ฏน ๋ ˆ์ด(CR) ์ŠคํŽ™ํŠธ๋Ÿผ๊ณผ ์งˆ๋Ÿ‰ ๊ตฌ์„ฑ ๋ถ„์„์— ์žˆ์–ด ์ค‘์š”ํ•œ ๋„๊ตฌ๋กœ ์ž‘์šฉํ•œ๋‹ค. ์ด ๋ฐฐ์—ด์€ ๊ด‘๋ฒ”์œ„ํ•œ ์—๋„ˆ์ง€ ๋ฒ”์œ„ (10^15 10^19 eV)์—์„œ CR ํ๋ฆ„์„ ํšจ๊ณผ์ ์œผ๋กœ ์ธก์ •ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํŠนํžˆ 3 ร— (10^15 10^18) eV์˜ ์—๋„ˆ์ง€ ์˜์—ญ์—์„œ๋Š” ์ด์ „๊นŒ์ง€ ์ƒ์„ธํ•˜๊ฒŒ ์—ฐ๊ตฌ๋˜์ง€ ์•Š์•˜๋˜ ์ค‘์š”ํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฐ์—ด์€ ๋ชจ๋ธ ๋…๋ฆฝ์  ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ด‘๋ฒ”์œ„ํ•œ ๊ณต๊ธฐ ์ƒค์›Œ(EAS)์˜ ์—๋„ˆ์ง€๋ฅผ ์ถ”์ •ํ•˜๊ณ , ์ฒด๋ Œ์ฝ”ํ”„ ๋น› ๋ฐฉ์ถœ ๊ฐ์ง€๋กœ EAS์˜ ์žฅ๊ฑฐ๋ฆฌ ๋ฐœ๋‹ฌ์„ ์ถ”์ ํ•  ์ˆ˜ ์žˆ๋‹ค. 2. ์ฝ”์Šค๋ฏน ๋ ˆ

HEP-EX Astrophysics Data
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The HI absorption distance of HESS J1943+213 favours its extragalactic nature

: ์„œ๋ก  ๊ณ ์—๋„ˆ์ง€ ๊ฐ๋งˆ์„  ๊ด€์ธก์€ ์šฐ์ฃผ ์ค‘์„ฑ์ž…์ž์™€ ๊ฐ€์† ์ž…์ž์˜ ๊ธฐ์› ๋ฐ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ํŠนํžˆ, ๊ณ ์—๋„ˆ์ง€ ๊ฐ๋งˆ์„  ์›์ฒœ์˜ ์ €์—๋„ˆ์ง€ ๋Œ€์—ญ ๋™๋ฐ˜์ž๋ฅผ ์ฐพ๋Š” ๊ฒƒ์€ ์ด๋Ÿฌํ•œ ํ˜„์ƒ์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ์ดํ•ด๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•œ๋‹ค. HESS J1943+213์€ ์ตœ๊ทผ ๋ฐœ๊ฒฌ๋œ ๊ณ ์—๋„ˆ์ง€ ๊ฐ๋งˆ์„  ์›์ฒœ์œผ๋กœ์„œ, ์ด ์›์ฒœ์ด ์€ํ•˜๊ณ„ ๋‚ด์—์„œ ๋ฐœ๊ฒฌ๋˜์—ˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๊ทธ ๋ณธ์งˆ์„ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ์ €์—๋„ˆ์ง€ ๋Œ€์—ญ ๋™๋ฐ˜์ž๋ฅผ ์ฐพ๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ๋ฐฉ๋ฒ• ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” VLA Galactic Plane Survey (VGPS)์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ G57.76 1.

Astrophysics
A non-standard Lax formulation of the Harry Dym hierarchy and its   supersymmetric extension

A non-standard Lax formulation of the Harry Dym hierarchy and its supersymmetric extension

์ด ๋…ผ๋ฌธ์€ ๊ณ ์ „ ํ†ตํ•ฉ ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜๋ฉด์„œ ํŠนํžˆ Korteweg de Vries (KdV) ๋ฐฉ์ •์‹๊ณผ Harry Dym (HD) ๋ฐฉ์ •์‹์„ ์ค‘์‹ฌ์œผ๋กœ ์ƒˆ๋กœ์šด N 2 ์ดˆ๋Œ€์นญ HD ๋ฐฉ์ •์‹์„ ๋ฐœ๊ฒฌํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์ด๋“ค ๋ฐฉ์ •์‹์€ ์ˆ˜์‹ญ ๋…„ ๋™์•ˆ ๋‹ค์–‘ํ•œ ํ™•์žฅ์ด ์ด๋ฃจ์–ด์ ธ ์™”์œผ๋ฉฐ, ํŠนํžˆ ์ˆ˜ํผ ๋Œ€์นญ ํ™•์žฅ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. 1. ๊ณ ์ „ ํ†ตํ•ฉ ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ๊ณผ ์ˆ˜ํผ ๋Œ€์นญํ™” ๊ณ ์ „ ํ†ตํ•ฉ ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ์€ ์†”๋ฆฌํ†ค ๋ฐฉ์ •์‹์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ์ด๋“ค ๋ฐฉ์ •์‹์€ ๋‹ค์–‘ํ•œ ํ™•์žฅ์ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ์ˆ˜ํผ ๋Œ€์นญ ํ™•์žฅ์„ ํ†ตํ•ด ์ƒˆ๋กœ์šด ๋ณด์† ํ•„๋“œ๊ฐ€ ๋„์ž…๋˜๊ฑฐ๋‚˜ ๊ธฐ

Nonlinear Sciences
Comment on 'Length-dependent translation of messenger RNA by ribosomes'

Comment on 'Length-dependent translation of messenger RNA by ribosomes'

1. ๋…ผ๋ฌธ์˜ ๋ฐฐ๊ฒฝ๊ณผ ๋ชฉ์  Valleriani ์™ธ ์—ฐ๊ตฌ์ง„์€ ๋ฉ”์‹ ์ € RNA(mRNA)์˜ ๊ธธ์ด์— ๋”ฐ๋ฅธ ๋‹จ๋ฐฑ์งˆ ํ•ฉ์„ฑ ์†๋„๋ฅผ ๋ชจ๋ธ๋งํ•˜๋Š” ๊ฐ„๋‹จํ•œ ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ชจ๋ธ์—์„œ mRNA ๋ถ„ํ•ด ๊ณผ์ •์€ ฯ‰r์ด๋ผ๋Š” ์ƒ์ˆ˜๋กœ ํ‘œํ˜„๋˜๋ฉฐ, ๋ฆฌ๋ณด์†œ์— ์˜ํ•œ ๋ฒˆ์—ญ ์†๋„๋Š” ฯ‰tl๋กœ ํ‘œ๊ธฐ๋ฉ๋‹ˆ๋‹ค. ๋‹จ๋ฐฑ์งˆ์˜ ๋ถ„ํ•ด ์†๋„๋Š” ฯ‰p๋กœ ๋‚˜ํƒ€๋‚ด์–ด์ ธ ์žˆ์œผ๋ฉฐ, ์ด๋“ค ๊ฐ„์˜ ๋น„์œจ r ฯ‰tl/ฯ‰p๊ฐ€ mRNA ๊ธธ์ด์— ๋”ฐ๋ผ ์–ด๋–ป๊ฒŒ ๋ณ€ํ•˜๋Š”์ง€ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. 2. ๋ฒˆ์—ญ ๋น„์œจ r์„ ์–ป๊ธฐ ์œ„ํ•œ ์„ธ ๊ฐ€์ง€ ๋ฐฉ๋ฒ• ๋ณธ ๋…ผํ‰์—์„œ๋Š” Valleriani ์—ฐ๊ตฌ์ง„์˜ ๋ชจ๋ธ์„ ํ™•์žฅํ•˜์—ฌ, ๋ฒˆ์—ญ ๋น„์œจ r์„ ์–ป๋Š” ์„ธ ๊ฐ€์ง€

Quantitative Biology Physics
Floating Extensional Flows

Floating Extensional Flows

๋ณธ ๋…ผ๋ฌธ์€ ๋น™ํ•˜ ์‹œํŠธ์˜ ํ™•์žฅ ํ๋ฆ„์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ชจ๋ธ๋ง๊ณผ ๋ถ„์„์„ ํ†ตํ•ด, ๋‰ดํ„ด ์œ ์ฒด์™€ ๋น„๋‰ดํ„ด ์œ ์ฒด ์‚ฌ์ด์˜ ์ค‘์š”ํ•œ ์—ญํ•™์  ์ฐจ์ด๋ฅผ ํƒ๊ตฌํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํŠนํžˆ ๋น™ํ•˜๊ฐ€ ๋ฐ”๋‹ค ์œ„๋กœ ๋– ์˜ค๋ฅด๋ฉด์„œ ๋ฐœ์ƒํ•˜๋Š” ํ™•์žฅ ํ๋ฆ„์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. 1. ๋น™ํ•˜ ์‹œํŠธ์˜ ๊ธฐ๋ณธ ํŠน์„ฑ ์ „๋‹จ ํ๋ฆ„ : ๋น™ํ•˜์˜ ์ค‘์‹ฌ๋ถ€๋Š” ์ง€๋ฐ˜์— ๊ณ ์ •๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ฃผ๋œ ํ๋ฆ„์€ ์ „๋‹จ ํ๋ฆ„์ด๋‹ค. ํ™•์žฅ ํ๋ฆ„ : ์ค‘๋ ฅ์— ์˜ํ•ด ๋ณ€ํ˜•๋˜๋Š” ๋น™ํ•˜๋Š” ๋‘๊ป˜๊ฐ€ ์ถฉ๋ถ„ํžˆ ์–‡์•„์ง€๋ฉด ๋ฐ”๋‹ค ์œ„๋ฅผ ๋– ๋‹ค๋‹ ์ˆ˜ ์žˆ๋‹ค. ์ด๋•Œ์˜ ํ๋ฆ„์„ ํ™•์žฅ ํ๋ฆ„์ด๋ผ ๋ถ€๋ฅธ๋‹ค. 2. ๋‰ดํ„ด ์œ ์ฒด์™€ ๋น„๋‰ดํ„ด ์œ ์ฒด์˜ ๋น„๊ต ๋‰ดํ„ด ์œ ์ฒด : ์ ์„ฑ์ด ์ผ์ •ํ•œ

Physics
High-energy spectrum and zenith-angle distribution of atmospheric   neutrinos

High-energy spectrum and zenith-angle distribution of atmospheric neutrinos

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ์—๋„ˆ์ง€ ๋Œ€๊ธฐ ์ค‘์„ฑ๋ฏธ์ž(AN)์˜ ์—๋„ˆ์ง€ ์ŠคํŽ™ํŠธ๋Ÿผ๊ณผ ์ฒœ์ •๊ฐ ๋ถ„ํฌ๋ฅผ ๊ณ„์‚ฐํ•˜๊ณ  ๋‹ค์–‘ํ•œ ๋ชจ๋ธ์„ ํ†ตํ•ด ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•œ๋‹ค. AN์€ ์šฐ์ฃผ์„  ํ•ต์ด ์ง€๊ตฌ ์ƒ์ธต๋Œ€๊ธฐ์™€ ์ถฉ๋Œํ•˜๋ฉด์„œ ์ƒ์„ฑ๋˜๋Š” ์ค‘์„ฑ๋ฏธ์ž๊ฐ€ ๋ถ•๊ดดํ•˜๋Š” ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋ฉฐ, ์ด๋Š” ์ €์—๋„ˆ์ง€์—์„œ๋Š” ์ค‘์„ฑ๋ฏธ์ž ์ง„๋™ ์—ฐ๊ตฌ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋ฉฐ ๊ณ ์—๋„ˆ์ง€์—์„œ๋Š” ์ฒœ๋ฌธํ•™์  ์ค‘์„ฑ๋ฏธ์ž ์‹คํ—˜์˜ ๋ฐฐ๊ฒฝ ์žก์Œ์œผ๋กœ ์ž‘์šฉํ•œ๋‹ค. ๋…ผ๋ฌธ์€ QGSJET II 03, SIBYLL 2.1 ๋ฐ Kimel & Mokhov(KM) ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ AN ํ๋ฆ„์„ ๊ณ„์‚ฐํ•˜๊ณ , ์ด ๊ฒฐ๊ณผ๋ฅผ Frejus, AMANDA II ๋ฐ IceCube

HEP-PH HEP-EX Astrophysics
Investigating the Effects of Finite Resolution on Observed Transverse   Jet Profiles

Investigating the Effects of Finite Resolution on Observed Transverse Jet Profiles

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ์ค‘์š”์„ฑ ํ™œ์„ฑ์€ํ•˜ ์ œํŠธ๋Š” ์šฐ์ฃผ์—์„œ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•˜๊ณ  ์—๋„ˆ์ง€๊ฐ€ ๋งŽ์€ ํ˜„์ƒ ์ค‘ ํ•˜๋‚˜๋กœ, ๊ทธ ๋‚ด๋ถ€์˜ ์ž๊ธฐ์žฅ ๊ตฌ์กฐ๋ฅผ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์€ ์ด๋“ค ์ฒœ์ฒด์˜ ์ง„ํ™”์™€ ๋ฐฉ์ถœ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ํŒŒ์•…ํ•˜๋Š” ๋ฐ ํ•ต์‹ฌ์ ์ž…๋‹ˆ๋‹ค. ํŠนํžˆ, ์ œํŠธ ๋‚ด๋ถ€์˜ ๋‚˜์„ ํ˜• ์ž๊ธฐ์žฅ์€ ์ œํŠธ์˜ ์•ˆ์ •์„ฑ๊ณผ ๋ฐฉ์ถœ ํŠน์„ฑ์„ ๊ฒฐ์ •ํ•˜๋Š” ์ค‘์š”ํ•œ ์š”์†Œ๋กœ ์—ฌ๊ฒจ์ง‘๋‹ˆ๋‹ค. 2. ๊ด€์ฐฐ ๊ฒฐ๊ณผ ๋ฐ ํ•ด์„ ๋‚˜์„ ํ˜• ์ž๊ธฐ์žฅ์˜ ์กด์žฌ : ์—ฌ๋Ÿฌ ๊ด€์ธก ๊ฒฐ๊ณผ๋Š” ์ œํŠธ ๋‚ด์—์„œ ์ƒ๋‹นํ•œ ๋‚˜์„  ์„ฑ๋ถ„์„ ๊ฐ€์ง„ ์ž๊ธฐ์žฅ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ์ œํŠธ์˜ ๋Œ€์นญ์„ฑ๊ณผ ๋น„๋Œ€์นญ์„ฑ์„ ํ†ตํ•ด ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์œ ํ•œ ํ•ด์ƒ๋„ ํšจ๊ณผ : ์—ฐ๊ตฌ์—์„œ๋Š” ์œ ํ•œ ํ•ด์ƒ๋„๊ฐ€ ๊ฐ•๋„

Astrophysics
Neutrino spin oscillations in gravitational fields

Neutrino spin oscillations in gravitational fields

๋ณธ ๋…ผ๋ฌธ์€ ์ค‘์„ฑ๋ฏธ์ž์˜ ์Šคํ•€ ์ง„๋™ ํ˜„์ƒ์„ ๋‹ค์–‘ํ•œ ์ค‘๋ ฅ์žฅ ์กฐ๊ฑด ํ•˜์—์„œ ์—ฐ๊ตฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด๊ณ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ๋ฆฌ์Šค๋„ˆ ๋…ธ๋“œ์ŠคํŠธ๋กฌ(RN) ๋ฐ ์ผ€๋ฅด ๋ฐฐ๊ฒฝ์ด๋ผ๋Š” ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ์ค‘๋ ฅ์žฅ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ค‘์„ฑ๋ฏธ์ž ์Šคํ•€ ์ง„๋™์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์˜€์Šต๋‹ˆ๋‹ค. 1. ์ค‘์„ฑ๋ฏธ์ž์˜ ์ค‘์š”์„ฑ ์ค‘์„ฑ๋ฏธ์ž๋Š” ์ž…์ž ๋ฌผ๋ฆฌํ•™, ์šฐ์ฃผ๋ก , ์ฒœ์ฒด๋ฌผ๋ฆฌํ•™ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ์ค‘์„ฑ๋ฏธ์ž์˜ ์ง„๋™ ํ˜„์ƒ์€ ํƒœ์–‘ ์ค‘์„ฑ๋ฏธ์ž์™€ ๋Œ€๊ธฐ ์ค‘์„ฑ๋ฏธ์ž ๋ฌธ์ œ๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋ฉฐ, ์ด๋Š” ํ‘œ์ค€ ๋ชจํ˜• ์ด์™ธ์˜ ๋ฌผ๋ฆฌํ•™์  ํ˜„์ƒ์„ ์ดํ•ดํ•˜๋Š” ์ฒซ๊ฑธ์Œ์ด ๋ฉ๋‹ˆ๋‹ค. 2. ๋ฆฌ์Šค๋„ˆ ๋…ธ๋“œ์ŠคํŠธ๋กฌ(RN) ๋ฐฐ๊ฒฝ

HEP-TH General Relativity Astrophysics HEP-PH
On the properties of the RHESSI intermediate-duration gamma-ray bursts

On the properties of the RHESSI intermediate-duration gamma-ray bursts

: ๋ณธ ๋…ผ๋ฌธ์€ ์ค‘๊ฐ„ ์ง€์† ์‹œ๊ฐ„ ๊ฐ๋งˆ์„  ํญ๋ฐœ(GRB)์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ์งง์€ GRB์™€ ๊ธด GRB ๊ทธ๋ฃน๊ณผ ๋น„๊ตํ•˜์—ฌ ๊ทธ ์ฐจ์ด๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ์—ฐ๊ตฌ๋Š” RHESSI ์œ„์„ฑ์—์„œ ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ง„ํ–‰๋˜์—ˆ์œผ๋ฉฐ, 2002๋…„๋ถ€ํ„ฐ 2008๋…„๊นŒ์ง€์˜ ๊ธฐ๊ฐ„ ๋™์•ˆ ๊ด€์ธก๋œ ๊ฐ๋งˆ์„  ํญ๋ฐœ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ฐฉ๋ฒ•๋ก  ์ค‘๊ฐ„ ์ง€์† ์‹œ๊ฐ„ GRB ๊ทธ๋ฃน ์‹๋ณ„: ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๋Œ€ ์šฐ๋„ ๋น„์œจ ํ…Œ์ŠคํŠธ์™€ ์ด๋ถ„ ๋ถ„ํฌ ์ ํ•ฉ์„ ํ†ตํ•ด ์ค‘๊ฐ„ ์ง€์† ์‹œ๊ฐ„ GRB ๊ทธ๋ฃน์„ ์‹๋ณ„ํ–ˆ๋‹ค. ์ŠคํŽ™ํŠธ๋Ÿผ ์ง€์—ฐ, ํ”ผํฌ ์นด์šดํŠธ์œจ, ์ ์ƒ‰ํŽธ์ด, ์ดˆ์‹ ์„ฑ ๊ด€์ธก ๋ฐ ํ˜ธ์ŠคํŠธ ์€ํ•˜ ๋ณ„ ํ˜•์„ฑ๋ฅ ์—

Astrophysics
Orbit Mode observations of Crab and Mrk 421

Orbit Mode observations of Crab and Mrk 421

๋ณธ ์—ฐ๊ตฌ๋Š” VERITAS ๋ง์›๊ฒฝ์—์„œ ๊ฐœ๋ฐœ๋œ ์ƒˆ๋กœ์šด '๊ถค๋„' ๊ด€์ธก ๋ชจ๋“œ์˜ ์„ฑ๋Šฅ๊ณผ ์ž ์žฌ์  ์‘์šฉ์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ์ด ๋ชจ๋“œ๋Š” ๊ธฐ์กด์˜ '์ง„๋™' ๋ชจ๋“œ์™€ ๋‹ฌ๋ฆฌ, ํƒ€๊ฒŸ ์†Œ์Šค๋ฅผ ์นด๋ฉ”๋ผ ์ค‘์‹ฌ ์ฃผ์œ„์— ์ง€์†์ ์œผ๋กœ ํšŒ์ „์‹œํ‚ค๋ฉฐ ๊ด€์ธกํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฉ์‹์€ ๋ฐฐ๊ฒฝ ์šฐ์ฃผ์„  ์ธก์ •์„ ๊ฐœ์„ ํ•˜๊ณ , ๊ด€์ธก ๊ฐ„๊ฒฉ์„ ์ค„์ด๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. VERITAS ๋ง์›๊ฒฝ์€ ๋ฏธ๊ตญ ์• ๋ฆฌ์กฐ๋‚˜์ฃผ ๋‚จ๋ถ€์˜ ํ”„๋ ˆ๋“œ ๋กœ๋ Œ์Šค ํœ˜ํ”Œ ์ฒœ๋ฌธ๋Œ€์— ์„ค์น˜๋œ ๋„ค ๊ฐœ์˜ 12๋ฏธํ„ฐ ์ง๊ฒฝ ์ด๋ฏธ์ง€ ๋Œ€๊ธฐ ์ฒด๋ Œ์ฝ”ํ”„ ๋ง์›๊ฒฝ(IAC) ๋ฐฐ์—ด๋กœ, ๊ฐ๋งˆ์„ ์„ ๋งค์šฐ ๋†’์€ ์—๋„ˆ์ง€ ๋ฒ”์œ„์—์„œ ๊ฐ์ง€ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด ๋ง์›๊ฒฝ์˜ ์ฃผ

Astrophysics
The Distance of the Gamma-ray Binary 1FGL J1018.6-5856

The Distance of the Gamma-ray Binary 1FGL J1018.6-5856

๋ณธ ๋…ผ๋ฌธ์€ ๊ฐ๋งˆ์„  ์›์ฒœ 1FGL J1018.6 5856์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•œ๋‹ค. ์ด ์›์ฒœ์€ Fermi Large Area Telescope (LAT)๋ฅผ ํ†ตํ•ด ๋ฐœ๊ฒฌ๋˜์—ˆ์œผ๋ฉฐ, ๋‹ค์–‘ํ•œ ์—๋„ˆ์ง€ ๋ฒ”์œ„์—์„œ ๋ณ€๋™์„ฑ์„ ๋ณด์—ฌ์ฃผ์–ด '๊ฐ๋งˆ์„  ์Œ์„ฑ'์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค. ๊ฐ๋งˆ์„  ์Œ์„ฑ์€ ๊ณ ์งˆ๋Ÿ‰ X ์„  ์Œ์„ฑ๊ณ„๋กœ, ์ด๋“ค ์ค‘ ์ผ๋ถ€๋Š” ๊ฐ๋งˆ์„  ๋ฐฉ์ถœ์ด๋ผ๋Š” ํŠน์ดํ•œ ์„ฑ์งˆ์„ ๊ฐ€์ง„๋‹ค. 1. ๊ฐ๋งˆ์„  ์›์ฒœ์˜ ๋ณ€๋™์„ฑ ๊ฐ๋งˆ์„  ์›์ฒœ 1FGL J1018.6 5856์€ 16.58 ยฑ 0.04 ์ผ ์ฃผ๊ธฐ์˜ ์ง„๋™์„ฑ์„ ๋ณด์—ฌ์ฃผ๋ฉฐ, ์ด๋Š” Swift ๊ด€์ธก์„ ํ†ตํ•ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ๋ผ๋””์˜ค ํŒŒ

Astrophysics
The progenitor of a type Ia supernova with a short delay time?

The progenitor of a type Ia supernova with a short delay time?

: HD 49798/RX J0648.0 4418 ์ฒด๊ณ„๋Š” ๋ณ„๋“ค์˜ ํŠน์ดํ•œ ์„ฑ์งˆ๋กœ ์ธํ•ด ์˜ค๋žซ๋™์•ˆ ์ฒœ๋ฌธํ•™์ž๋“ค์˜ ๊ด€์‹ฌ์„ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค. ์ด ์ฒด๊ณ„์˜ ์ฃผ์š” ๊ตฌ์„ฑ ์š”์†Œ ์ค‘ ํ•˜๋‚˜์ธ HD 49798์€ ๋ฐ๊ณ  ํŒŒ๋ž€์ƒ‰์ด๋ฉฐ, ํ—ฌ๋ฅจ๊ณผ ์งˆ์†Œ์˜ ๋†๋„๊ฐ€ ๋†’์•„ ์กฐ๊ธฐํ˜• ํ•˜์œ„๊ฑฐ์„ฑ์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํŠน์ง•๋“ค์€ HD 49798์ด ์ดˆ๊ธฐ์—๋Š” ๋” ๋ฌด๊ฒ๊ณ  ํฐ ๋ณ„์˜ ํƒˆ๊ฐ๋œ ํ•ต์ผ ๊ฐ€๋Šฅ์„ฑ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค. 1960๋…„๋Œ€๋ถ€ํ„ฐ HD 49798์— ๋Œ€ํ•œ ๊ด€์ธก๊ณผ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ์œผ๋ฉฐ, ํŠนํžˆ 1996๋…„ ROSAT๋ฅผ ํ†ตํ•ด ์ด ๋ณ„์—์„œ ์†Œํ”„ํŠธ X ๋ ˆ์ด ํŽ„์Šค๊ฐ€ ๋ฐœ๊ฒฌ๋˜๋ฉด์„œ ๊ทธ ๋™๋ฐ˜์„ฑ์ด ์••์ถ•๋œ ๋ฌผ์ฒด๋ผ๋Š” ๊ฒƒ์ด

Astrophysics
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Properties of Magnetized Quark-Hybrid Stars

๋ณธ ๋…ผ๋ฌธ์€ ์ž๊ธฐ์žฅ ๋ณ„์ธ ๋งค๊ทธ๋„คํƒ€๋ฅด์™€ ์ฟผํฌ ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ๋ณ„(QHS)์˜ ๊ตฌ์กฐ ๋ฐ ํŠน์„ฑ์— ๋Œ€ํ•ด ์‹ฌ๋„ ์žˆ๊ฒŒ ๋ถ„์„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, QHS๋Š” SQM ํ•ต์„ ์ค‘์‹ฌ์œผ๋กœ ํ•˜์ „ ๋ฌผ์งˆ ๊ป์งˆ๋กœ ๊ตฌ์„ฑ๋œ ๋ณ„๋กœ ๋ชจ๋ธ๋ง๋ฉ๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ ์ด๋Ÿฌํ•œ ๋ณ„๋“ค์˜ ์งˆ๋Ÿ‰ ๋ฐ˜์ง€๋ฆ„(M R) ๊ด€๊ณ„์™€ ํšŒ์ „ ์ฃผ๊ธฐ, ๊ทธ๋ฆฌ๊ณ  ์ค‘๋ ฅ ํ‘œ๋ฉด ์ ์ƒ‰ ํŽธํ–ฅ ๋“ฑ์„ ๋ถ„์„ํ•˜์—ฌ QHS์™€ ์ „ํ†ต์ ์ธ ์ค‘์„ฑ์ž๋ณ„(NS) ์‚ฌ์ด์˜ ์ฐจ์ด๋ฅผ ๋ฐํžˆ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. QHS์˜ ๋ชจ๋ธ๋ง ๋ฐ ํŠน์„ฑ QHS๋Š” SQM ํ•ต์„ ์ค‘์‹ฌ์œผ๋กœ ํ•˜์ „ ๋ฌผ์งˆ ๊ป์งˆ๋กœ ๊ตฌ์„ฑ๋œ ๋ณ„์ž…๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” MIT ๊ฐ€๋ฐฉ ๋ชจ๋ธ๊ณผ ์‘์ถ•๋œ ํ•˜์ „ ๋ฌผ์งˆ์— ๋Œ€ํ•œ ๋ฐฉ์ •์‹

HEP-PH Astrophysics
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Radius and magnetic field from Synchrotron-self-absorbed radio and Inverse Compton X-ray observations of Supernovae

: ๋ณธ ์—ฐ๊ตฌ๋Š” ์ดˆ์‹ ์„ฑ ํญ๋ฐœ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ณต์žกํ•œ ๋ฌผ๋ฆฌ ํ˜„์ƒ์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ์ค‘์š”ํ•œ ๋‹จ๊ณ„๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, Synchrotron Self Absorbed (SSA) ๋ผ๋””์˜คํŒŒ์™€ Inverse Compton X ์„  ๋ฐฉ์ถœ์„ ํ†ตํ•ด ๊ด€์ฐฐ๋˜๋Š” ์ดˆ์‹ ์„ฑ ํญ๋ฐœํŒŒ์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์ดˆ์‹ ์„ฑ ํญ๋ฐœ์€ ๋งค์šฐ ๊ฐ•๋ ฅํ•œ ์—๋„ˆ์ง€ ๋ฐฉ์ถœ๊ณผ ํ•จ๊ป˜ ๋ฐœ์ƒํ•˜๋ฉฐ, ์ด ๊ณผ์ •์—์„œ ์ƒ์„ฑ๋œ ๊ณ ์—๋„ˆ์ง€ ์ „์ž๋Š” ์ž๊ธฐ์žฅ์— ์˜ํ•ด ์‹ฑํฌ๋กœํŠธ๋ก  ๋ฐฉ์ถœ์„ ์ผ์œผํ‚ต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฉ์ถœ์€ SSA ๋ผ๋””์˜คํŒŒ ํ˜•ํƒœ๋กœ ๊ด€์ฐฐ๋˜๋ฉฐ, ์ด๋Š” ๊ด€์ธก ๊ฐ€๋Šฅํ•œ ๋ณต์‚ฌ๋Ÿ‰์˜ ์ค‘์š”ํ•œ ๋ถ€๋ถ„์„ ์ฐจ์ง€ํ•ฉ๋‹ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” SSA

Astrophysics
A 350-MHz GBT Survey of 50 Faint Fermi Gamma-ray Sources for Radio   Millisecond Pulsars

A 350-MHz GBT Survey of 50 Faint Fermi Gamma-ray Sources for Radio Millisecond Pulsars

๋ณธ ๋…ผ๋ฌธ์€ ๊ทธ๋ฆฐ๋ฑ…ํฌ ๋ง์›๊ฒฝ(GBT)์„ ํ™œ์šฉํ•œ ๋ผ๋””์˜ค ๋ฐ€๋ฆฌ์ดˆ ํŽ„์Šค(MSP) ํƒ์‚ฌ์— ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 350 MHz ๋Œ€์—ญ์—์„œ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ, ํŠนํžˆ GBT์™€ ๊ทธ๋ฆฐ๋ฑ…ํฌ ๊ถ๊ทน ํŽ„์‚ฌ ํ”„๋กœ์„ธ์„œ(GUPPI)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ด€์ธก๋˜์—ˆ์Šต๋‹ˆ๋‹ค. GUPPI์˜ ๊ธฐ๋Šฅ์€ ๋งค์šฐ ๋„“์€ ๋Œ€์—ญํญ(100 MHz), ๋†’์€ ์ŠคํŽ™ํŠธ๋Ÿผ ํ•ด์ƒ๋„(4,096 ์ฑ„๋„), ๊ทธ๋ฆฌ๊ณ  ์‹œ๊ฐ„ ํ•ด์ƒ๋„(81.92 ๋งˆ์ดํฌ๋กœ์ดˆ)๋ฅผ ์ œ๊ณตํ•˜์—ฌ ๊ทผ์ฒ˜ ํŽ„์‚ฌ ๊ฐ์ง€์— ๋งค์šฐ ํšจ๊ณผ์ ์ž…๋‹ˆ๋‹ค. ๊ด€์ธก ๋Œ€์ƒ์€ 50๊ฐœ์˜ ๋ฏธํ™•์ธ ํŽ˜๋ฅด๋ฏธ ๊ฐ๋งˆ์„  ์›์ฒœ์œผ๋กœ, ์ด๋“ค ์ค‘ ๋Œ€๋ถ€๋ถ„์€ ์€ํ•˜ ํ‰๋ฉด์—์„œ ๋ฉ€๋ฆฌ ๋–จ์–ด์ ธ ์žˆ์–ด ํ•˜๋Š˜ ์˜จ๋„์™€

Astrophysics
Damage spreading in the sandpile model of SOC

Damage spreading in the sandpile model of SOC

๋ณธ ๋…ผ๋ฌธ์€ ๋ชจ๋ž˜๋”๋ฏธ ๋ชจ๋ธ์—์„œ ์ž‘์€ ๊ต๋ž€์ด ์–ด๋–ป๊ฒŒ ํ™•์‚ฐ๋˜๋Š”์ง€๋ฅผ ์—ฐ๊ตฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ, ์ด๋Š” ์ž์œจ ์‹œ์Šคํ…œ์˜ ๋™์  ํ–‰๋™์— ๋Œ€ํ•œ ์ค‘์š”ํ•œ ์ดํ•ด๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ํŠนํžˆ, ์ด ์—ฐ๊ตฌ๋Š” ์†์ƒ(damage)์˜ ํ™•์‚ฐ์„ ํ†ตํ•ด SOC ์ƒํƒœ์—์„œ์˜ ์—ญ๋™์„ฑ์„ ํƒ๊ตฌํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋ชจ๋ž˜๋”๋ฏธ ๋ชจ๋ธ์ด ์–ด๋–ป๊ฒŒ ์ž๊ธฐ ์กฐ์งํ™”๋˜๊ณ  ๋น„ํŒ์ ์ธ ์ƒํƒœ๋ฅผ ์œ ์ง€ํ•˜๋Š”์ง€์— ๋Œ€ํ•œ ๊นŠ์€ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•œ๋‹ค. 1. ๋ชจ๋ธ ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ž˜๋”๋ฏธ ๋ชจ๋ธ์€ ๊ฒฉ์ž ์ž๋™์ž ๋ชจ๋ธ๋กœ, ๊ฐ ์‚ฌ์ดํŠธ๋Š” ์ •์ˆ˜ ๊ฐ’์„ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋Š” ๋ณ€์ˆ˜ z(i, j)๋ฅผ ๊ฐ–๋Š”๋‹ค. ์ด ๊ฐ’์€ ๋ชจ๋ž˜ ์ž…์ž๊ฐ€ ์ถ”๊ฐ€๋  ๋•Œ๋งˆ๋‹ค ์ฆ๊ฐ€ํ•˜๊ณ , ํŠน์ • ์ž„๊ณ„๊ฐ’ zm์—

Condensed Matter Nonlinear Sciences Model
Financial Rogue Waves Appearing in the Coupled Nonlinear Volatility and   Option Pricing Model

Financial Rogue Waves Appearing in the Coupled Nonlinear Volatility and Option Pricing Model

์ด ๋…ผ๋ฌธ์€ ๋น„์„ ํ˜• ๊ณผํ•™์—์„œ ์ค‘์š”ํ•œ ๊ฐœ๋…์ธ ํ”„๋ฆฌํฌ ํŒŒ๋„๋ฅผ ๊ธˆ์œต ์‹œ์žฅ์— ์ ์šฉํ•˜์—ฌ ์ƒˆ๋กœ์šด ๋ชจ๋ธ์„ ์ œ์‹œํ•œ๋‹ค. ํ”„๋ฆฌํฌ ํŒŒ๋„๋Š” ํ•ด์–‘ํ•™, ๊ด‘ํ•™ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์—ฐ๊ตฌ๋˜์—ˆ์œผ๋ฉฐ, ์ด ํ˜„์ƒ์˜ ํŠน์ง•์€ ๊ทน๋‹จ์ ์ธ ์‚ฌ๊ฑด์ด ๋ฐœ์ƒํ•  ๋•Œ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฑฐ๋Œ€ํ•œ ํŒŒ๋„์ด๋‹ค. ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ๊ฐœ๋…์„ ๊ธˆ์œต ์‹œ์žฅ์— ์ ์šฉํ•˜์—ฌ ๋ณ€๋™์„ฑ๊ณผ ์˜ต์…˜ ๊ฐ€๊ฒฉ ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๊ธˆ์œต ์œ„๊ธฐ์™€ ๊ฐ™์€ ๊ทน๋‹จ์ ์ธ ์‚ฌ๊ฑด์„ ์„ค๋ช…ํ•˜๋ ค๊ณ  ํ•œ๋‹ค. 1. ํ”„๋ฆฌํฌ ํŒŒ๋„ ํ˜„์ƒ ํ”„๋ฆฌํฌ ํŒŒ๋„๋Š” ๋น„์„ ํ˜• ๊ณผํ•™์—์„œ ์ค‘์š”ํ•œ ๊ฐœ๋…์œผ๋กœ, ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์—ฐ๊ตฌ๋˜์—ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ํ”„๋ฆฌํฌ ํŒŒ๋„์˜ ํŠน์„ฑ์„ ๊ธˆ

Nonlinear Sciences Quantitative Finance Model
GRBs in the SWIFT and Fermi era: a new view of the prompt emission

GRBs in the SWIFT and Fermi era: a new view of the prompt emission

1. ์„œ๋ก  ๋ฐ ๋ฐฐ๊ฒฝ ๊ฐ๋งˆ์„  ํญ๋ฐœ(GRB)์€ ์šฐ์ฃผ์—์„œ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ์—๋„ˆ์ง€๋ฅผ ๋ฐฉ์ถœํ•˜๋Š” ํ˜„์ƒ ์ค‘ ํ•˜๋‚˜๋กœ, ๊ทธ ์ŠคํŽ™ํŠธ๋Ÿผ๊ณผ ๋น› ๊ณก์„ ์€ ๋‹ค์–‘ํ•œ ํŠน์„ฑ์„ ๋ณด์ž…๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณต์žก์„ฑ ๋•Œ๋ฌธ์— GRB์˜ ๊ธ‰์„ฑ ๋ฐฉ์ถœ์— ๋Œ€ํ•œ ์„ค๋ช…์€ ์—ฌ์ „ํžˆ ํ™œ๋ฐœํ•˜๊ฒŒ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1993๋…„ Band ๋“ฑ์ด ์ œ์•ˆํ•œ Band ํ•จ์ˆ˜๋Š” GRB ์ŠคํŽ™ํŠธ๋Ÿผ ๋ชจ์–‘์„ ์„ค๋ช…ํ•˜๋Š” ์ค‘์š”ํ•œ ๋„๊ตฌ๋กœ ์‚ฌ์šฉ๋˜์–ด ์™”์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด ํ•จ์ˆ˜๋Š” ๊ณ ์—๋„ˆ์ง€ ์ชฝ์œผ๋กœ ๊ฐ€ํŒŒ๋ฅด๊ฒŒ ๊ธฐ์šธ์–ด์ง€๋Š” ๊ฒฝํ–ฅ ๋•Œ๋ฌธ์—, ๋ชจ๋“  ๊ฒฝ์šฐ์— ์ ํ•ฉํ•˜์ง€ ์•Š๋‹ค๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. 2. ๋กœ๊ทธ ํŒŒ๋ผ๋ณผ๋ฆญ ๋ชจ๋ธ์˜ ์ œ์•ˆ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” GRB SEDs์˜ ๊ณก

Astrophysics
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Highly-luminous cool core clusters of galaxies: mechanically-driven or radiatively-driven AGN?

์ด ๋…ผ๋ฌธ์€ ๋ƒ‰ํ•ต ์€ํ•˜๊ตฐ ๋‚ด์—์„œ ํ™œ๋™์„ฑ ์ฒœ์ฒดํ•ต(AGN)์˜ ์—ญํ• ๊ณผ ๊ทธ ๊ธฐ๋Šฅ์„ ์‹ฌ๋„ ์žˆ๊ฒŒ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ์ด ์—ฐ๊ตฌ๋Š” ๋งค์šฐ ๋ฐ๊ณ  ๊ฐ•๊ฑดํ•œ ๋ƒ‰ํ•ต ์€ํ•˜๊ตฐ ์ƒ˜ํ”Œ์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ตฐ๋“ค์ด ์ค‘์•™ AGN ์ œํŠธ์˜ ์—๋„ˆ์ง€๊ฐ€ ๋งค์šฐ ๋†’์ง€๋งŒ ์ค‘์‹ฌ X์„  ์ ํ˜• ์†Œ์Šค๋ฅผ ๊ฐ์ง€ํ•˜์ง€ ๋ชปํ•˜๋Š” ํŠน์ง•์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ์ด๋Š” ๊ธฐ์กด์˜ ์ดํ•ด์™€ ์ƒ๋‹นํžˆ ๋‹ค๋ฅธ ๊ฒฐ๊ณผ๋กœ, ์ฒœ๋ฌธํ•™์ž๋“ค์—๊ฒŒ ์ƒˆ๋กœ์šด ์งˆ๋ฌธ๊ณผ ๋„์ „์„ ์ œ๊ณตํ•œ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ๋ƒ‰ํ•ต ์€ํ•˜๊ตฐ์€ ์ค‘์‹ฌ์— ์œ„์น˜ํ•œ AGN์ด ์ฃผ๋ณ€ ๊ฐ€์Šค์˜ ๋ƒ‰๊ฐ์„ ์ƒ์‡„ํ•˜๊ธฐ ์œ„ํ•ด ๊ฐ•๋ ฅํ•œ ํ”ผ๋“œ๋ฐฑ์„ ์ œ๊ณตํ•ด์•ผ ํ•˜๋Š” ํŠน์ง•์ ์ธ ์ฒด๊ณ„์ด๋‹ค

Astrophysics
Modeling SN 1996crs X-ray lines at high-resolution: Sleuthing the   ejecta/CSM geometry

Modeling SN 1996crs X-ray lines at high-resolution: Sleuthing the ejecta/CSM geometry

๋ณธ ์—ฐ๊ตฌ๋Š” SN 1996cr์˜ X์„  ์ŠคํŽ™ํŠธ๋Ÿผ ๋ถ„์„์„ ํ†ตํ•ด ์ดˆ์‹ ์„ฑ์˜ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ์„ ๋ฐํžˆ๊ณ ์ž ํ–ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ดˆ์‹ ์„ฑ์˜ ํญ๋ฐœ ํ›„ ๋ฐฐ์ถœ๋ฌผ๊ณผ ์ฃผ๋ณ€ ๋ฌผ์งˆ(CSM) ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ์— ๋Œ€ํ•œ ๊นŠ์ด ์žˆ๋Š” ์ดํ•ด๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์ดˆ์‹ ์„ฑ์˜ ์ง„ํ™” ๊ณผ์ •์„ ์ถ”์ ํ•  ์ˆ˜ ์žˆ๋‹ค. 1. SN 1996cr์˜ ๋ฐœ๊ฒฌ ๋ฐ ํŠน์ง• SN 1996cr์€ ์ˆœํ™˜ ์€ํ•˜์—์„œ ๋ฐœ๊ฒฌ๋˜์—ˆ์œผ๋ฉฐ, ์ดˆ๊ธฐ์—๋Š” ์ผ๋ฐ˜์ ์ธ Type IIn ์ดˆ์‹ ์„ฑ์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹œ๊ฐ„์ด ์ง€๋‚˜๋ฉด์„œ X์„  ๋ฐ๊ธฐ๊ฐ€ ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€ํ•˜๋Š” ๋…ํŠนํ•œ ํ–‰๋™์„ ๋ณด์˜€๋‹ค. ์ด๋Š” SN 1987A์™€ ์œ ์‚ฌํ•˜๋ฉฐ, ๋‹ค๋ฅธ X์„  ๊ฒ€์ถœ ์ดˆ์‹ ์„ฑ๊ณผ ํ•ต

Model Astrophysics
Origin of the bright prompt optical emission in the naked eye burst

Origin of the bright prompt optical emission in the naked eye burst

์„œ๋ก  ๋ถ„์„ GRB 080319B๋Š” ๊ฐ๋งˆ์„ ๊ณผ ๊ด‘ํ•™ ์˜์—ญ ๋ชจ๋‘์—์„œ ๊ณ ํ•ด์ƒ๋„๋กœ ๊ด€์ธก๋œ ํฌ๊ท€ํ•œ ์‚ฌ๊ฑด์œผ๋กœ, ์ด ์‚ฌ๊ฑด์˜ ์‹œ๊ฐ ๋“ฑ๊ธ‰์€ V 5.3์œผ๋กœ ๋งจ๋ˆˆ์œผ๋กœ ๊ด€์ธก์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ทธ ๊ฑฐ๋ฆฌ๋Š” ์šฐ์ฃผ๋ก ์  ๊ฑฐ๋ฆฌ์ธ z 0.937๋กœ ๋งค์šฐ ๋ฉ€๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐ์€ ๊ด‘ํ•™ ์‹ ํ˜ธ๋ฅผ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด Synchro Self Compton (SSC) ๋ฉ”์ปค๋‹ˆ์ฆ˜๊ณผ ๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ์ „์ž ์ง‘๋‹จ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ๋งˆ์„  ๋ฐฉ์ถœ์ด ์ œ์•ˆ๋˜์—ˆ์ง€๋งŒ, ์ด๋“ค ์‹œ๋‚˜๋ฆฌ์˜ค๋Š” ์—๋„ˆ์ง€ ์œ„๊ธฐ์™€ ์ž๊ธฐ ํก์ˆ˜ ์ฃผํŒŒ์ˆ˜๊ฐ€ ๊ด‘ํ•™ ์˜์—ญ์— ๋„๋‹ฌํ•˜๋Š” ๋ฌธ์ œ ๋“ฑ ์—ฌ๋Ÿฌ ์–ด๋ ค์›€์„ ๊ฒช๊ณ  ์žˆ๋‹ค. ๋†’์€ ๋ณ€๋™์„ฑ์„ ๊ฐ€์ง„ ์ƒ๋Œ€๋ก ์  ํ๋ฆ„์˜ ๊ด‘ํ•™

Astrophysics
SGR 0418+5729: a low-magnetic-field magnetar

SGR 0418+5729: a low-magnetic-field magnetar

SGR 0418+5729๋Š” 2009๋…„์— ๋ฐœ๊ฒฌ๋œ ๋งˆ๊ทธ๋„คํƒ€๋ฅด๋กœ, ์ด ๋ณ„์€ ๋งค์šฐ ๋‚ฎ์€ ํ‘œ๋ฉด ์Œ๊ทน์ž ์ž๊ธฐ์žฅ ๊ฐ•๋„๋ฅผ ๊ฐ€์ง„ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” SGR 0418+5729์˜ ํšŒ์ „ ์†๋„ ๊ฐ์†Œ์œจ๊ณผ ํŠน์„ฑ ์—ฐ๋ น์„ ๋ถ„์„ํ•˜์—ฌ ๊ทธ ํ‘œ๋ฉด ์Œ๊ทน์ž ์ž๊ธฐ์žฅ์„ ์ถ”์ •ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๋งˆ๊ทธ๋„คํƒ€๋ฅด ๋ชจ๋ธ์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์ดํ•ด๋ฅผ ์ œ์‹œํ•œ๋‹ค. 1. SGR 0418+5729์˜ ํŠน์ง• SGR 0418+5729๋Š” 2009๋…„ 6์›” 5์ผ ํŽ˜๋ฅด๋ฏธ ๊ฐ๋งˆ์„  ํญ๋ฐœ ๋ชจ๋‹ˆํ„ฐ์— ์˜ํ•ด ๋‘ ๊ฐœ์˜ ๋งˆ๊ทธ๋„คํƒ€์™€ ์œ ์‚ฌํ•œ ๊ธ‰๋ฐœ๊ด‘์„ ๊ด€์ธกํ•˜๋ฉด์„œ ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ์ดํ›„ X ์„  ์œ„์„ฑ ๊ด€์ธก์„ ํ†ตํ•ด SGR 0418+

Astrophysics
About set-theoretic properties of one-way functions

About set-theoretic properties of one-way functions

: 1. ๋ฌธ์ œ ์ •์˜ ๋ฐ ๋ฐฐ๊ฒฝ ์•”ํ˜ธํ™” ์‹œ์Šคํ…œ์€ ์ •๋ณด ๋ณด์•ˆ์— ํ•„์ˆ˜์ ์ด๋ฉฐ, ๊ทธ ์•ˆ์ •์„ฑ์€ NP ํด๋ž˜์Šค์™€ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ๋‹ค. NP ํด๋ž˜์Šค๋Š” ํšจ์œจ์ ์ธ ๊ฒ€์ฆ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ์กด์žฌํ•˜๋Š” ๋ฌธ์ œ๋“ค์˜ ์ง‘ํ•ฉ์„ ๋‚˜ํƒ€๋‚ด๋Š”๋ฐ, ์•”ํ˜ธํ™” ๊ณผ์ •์€ ๋ณธ์งˆ์ ์œผ๋กœ NP ๋ฌธ์ œ์— ํ•ด๋‹นํ•œ๋‹ค. ํ•œ ๋ฐฉํ–ฅ ํ•จ์ˆ˜๋Š” ์ž…๋ ฅ๊ฐ’์— ๋Œ€ํ•œ ์ถœ๋ ฅ๊ฐ’์„ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐ๋Š” ํšจ์œจ์ ์ด์ง€๋งŒ, ๊ทธ ์—ญํ•จ์ˆ˜๋ฅผ ๊ณ„์‚ฐํ•˜๋Š” ๊ฒƒ์€ ๋น„ํšจ์œจ์ ์ด๊ฑฐ๋‚˜ ๋ถˆ๊ฐ€๋Šฅํ•˜๋‹ค. ์ด ํŠน์„ฑ ๋•Œ๋ฌธ์— ํ•œ ๋ฐฉํ–ฅ ํ•จ์ˆ˜๋Š” ์•”ํ˜ธํ™” ์‹œ์Šคํ…œ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. 2. ํ•œ ๋ฐฉํ–ฅ ํ•จ์ˆ˜์˜ ๊ฐœ๋… ๋ฐ ์ค‘์š”์„ฑ ํ•œ ๋ฐฉํ–ฅ ํ•จ์ˆ˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ํŠน์„ฑ์„ ๊ฐ€์ง„๋‹ค: ํšจ์œจ์ ์ธ ๊ณ„์‚ฐ:

Computational Complexity Computer Science
Leveraging Billions of Faces to Overcome Performance Barriers in   Unconstrained Face Recognition

Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition

๋ณธ ๋…ผ๋ฌธ์€ face.com์—์„œ ๊ฐœ๋ฐœํ•œ ์–ผ๊ตด ์ธ์‹ ๊ธฐ์ˆ ์„ ํ†ตํ•ด ์ œ์•ฝ ์—†๋Š” ํ™˜๊ฒฝ์—์„œ์˜ ์–ผ๊ตด ์ธ์‹ ์„ฑ๋Šฅ์„ ํฌ๊ฒŒ ํ–ฅ์ƒ์‹œํ‚จ ๋‚ด์šฉ์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ํŠนํžˆ, LFW(Labeled Faces in the Wild) ๋ฒค์น˜๋งˆํฌ๋ฅผ ์ด์šฉํ•ด ์ด์ „ ์—ฐ๊ตฌ๋ณด๋‹ค ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋‹ฌ์„ฑํ•œ ์ ์ด ์ฃผ๋ชฉ๋ฐ›์Šต๋‹ˆ๋‹ค. 1. ๋ฒค์น˜๋งˆํฌ ๋ฐ ๊ฒฐ๊ณผ LFW๋Š” ์ œ์•ฝ ์—†๋Š” ์–ผ๊ตด ์ธ์‹ ๋ถ„์•ผ์˜ ํ‘œ์ค€ ํ…Œ์ŠคํŠธ ๋ฒ ๋“œ๋กœ, 3๋…„ ๋™์•ˆ 100ํšŒ ์ด์ƒ ์ธ์šฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” face.com์˜ r2011b1 ์—”์ง„์„ LFW์— ์ ์šฉํ•˜์—ฌ, ์‚ฌ์ „ ํŠœ๋‹ ์—†์ด๋„ ํ‰๊ท  ์ •ํ™•๋„ 91.3% ยฑ 0.3์„ ๋‹ฌ์„ฑํ–ˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ

Computer Science Computer Vision
Minimum settling time control design through direct search optimization

Minimum settling time control design through direct search optimization

: ๋ณธ ๋…ผ๋ฌธ์€ PID ์ œ์–ด๊ธฐ์˜ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์ตœ์ ํ™”ํ•˜์—ฌ ์‹œ์Šคํ…œ์˜ ์‘๋‹ต ์†๋„์™€ ์•ˆ์ •์„ฑ์„ ๋™์‹œ์— ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒ์Šน ์‹œ๊ฐ„๊ณผ ์ •์ฐฉ ๋ฒ”์œ„ ๋‚ด์—์„œ์˜ ์ตœ๋Œ€ ํŽธ์ฐจ๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ๋ชฉํ‘œ ํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ PID ๊ณ„์ˆ˜

Mathematics Computer Science Systems and Control
New Principles of Coordination in Large-scale Micro- and   Molecular-Robotic Groups

New Principles of Coordination in Large-scale Micro- and Molecular-Robotic Groups

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ๋Œ€๊ทœ๋ชจ ๋ฏธ์„ธ ๋ฐ ๋ถ„์ž ๋กœ๋ด‡ ์ง‘๋‹จ ์กฐ์ •์˜ ์ƒˆ๋กœ์šด ์›์น™ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ์ด ๋…ผ๋ฌธ์€ '์ž์Šค๋ฏผ(Jasmine)' ๋กœ๋ด‡์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๊ตฐ์ง‘ ์—ฐ๊ตฌ์—์„œ ์œ ๋ž˜ํ•œ ๋™๊ธฐ ๋ถ€์—ฌ ์‹คํ—˜์— ๋Œ€ํ•ด ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ด ํ”Œ๋žซํผ์„ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ์ƒ๋ฌผ ์˜๊ฐ ์ ‘๊ทผ ๋ฐฉ์‹์„ ํ…Œ์ŠคํŠธํ•˜๊ณ , ์ œํ•œ๋œ ๊ฐ์ง€ ๋ฐ ํ†ต์‹  ๋Šฅ๋ ฅ์„ ๋ฐ”ํƒ•์œผ๋กœ ํ†ต์ œ ๊ฐ€๋Šฅ ๋ฐœ์ƒ์  ์ง‘๋‹จ ํ–‰๋™์„ ๊ฐœ๋ฐœํ•ฉ๋‹ˆ๋‹ค. ๋กœ๋ด‡์˜ ํฌ๊ธฐ๋Š” 26 x 26 x 20mm(์ตœ์‹  ๋ฒ„์ „์€ 30 x 30 x 20mm)์ด๋ฉฐ, ์‹คํ—˜์—์„œ ์‚ฌ์šฉ๋œ ๋กœ๋ด‡ ์ˆ˜๋Š” 50~130๋Œ€์ž…๋‹ˆ๋‹ค. ์‹คํ—˜์˜ ๋ชฉ์ ์€ ๋กœ๋ด‡ ์ง‘๋‹จ ๋‚ด ์ •๋ณด ์ „๋‹ฌ์— ๊ด€ํ•œ

Robotics Computer Science
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Recovery of a Sparse Integer Solution to an Underdetermined System of Linear Equations

๋ณธ ๋…ผ๋ฌธ์€ ์Šค๋งˆํŠธ ๊ทธ๋ฆฌ๋“œ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ด์ง„ ํ•ด ๋ณต์› ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๋ฉฐ, ํŠนํžˆ m < n ์ธ ๊ฒฝ์šฐ ๋ฌดํ•œํ•œ ์‹ค์ˆ˜ ํ•ด์™€ ์—ฌ๋Ÿฌ ์ด์ง„ ํ•ด๊ฐ€ ์กด์žฌํ•  ์ˆ˜ ์žˆ๋Š” ์ƒํ™ฉ์„ ๊ณ ๋ คํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋Š” NP ํ•˜๋“œ๋กœ ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด Mangasarian ๋“ฑ์ด ์ œ์•ˆํ•œ ๋ฐฉ๋ฒ•๋ก ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ๋ฌธ์ œ์˜ ๋ฐฐ๊ฒฝ๊ณผ ์ค‘์š”์„ฑ ๋…ผ๋ฌธ์€ ์Šค๋งˆํŠธ ๊ทธ๋ฆฌ๋“œ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ด์ง„ ํ•ด ๋ณต์› ๋ฌธ์ œ์— ๋Œ€ํ•ด ๋‹ค๋ฃน๋‹ˆ๋‹ค. ๊ฐ ๊ณ ๊ฐ ๊ฐ€๊ตฌ๋Š” ์ €์ „์•• ๋ณ€์••๊ธฐ์˜ ์„ธ ๊ฐ€์ง€ ์ „์œ„ ์ค‘ ํ•˜๋‚˜์— ์—ฐ๊ฒฐ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ์ถ”์ถœํ•˜๊ธฐ ์œ„ํ•ด A ํ–‰๋ ฌ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ A ์˜ ์—ด

Information Theory Machine Learning Computer Science System Discrete Mathematics Mathematics
A Brief Review of SIAM Review

A Brief Review of SIAM Review

๋ณธ ๋…ผ๋ฌธ์€ SIAM ๋ฆฌ๋ทฐ ์ €๋„์˜ ๋ณ€ํ™”์™€ ๊ทธ ์˜ํ–ฅ๋ ฅ์„ ๋ถ„์„ํ•˜๊ณ , ํ–ฅํ›„ ๊ฐœ์„  ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•œ๋‹ค. 1999๋…„ ์žฌ์กฐ์ง ์ดํ›„, SIAM ๋ฆฌ๋ทฐ ๋Š” ์—ฌ๋Ÿฌ ์„น์…˜์œผ๋กœ ๊ตฌ๋ถ„๋˜๋ฉฐ, ์ด๋กœ ์ธํ•ด ์ €๋„์˜ ๊ตฌ์„ฑ์ด ํฌ๊ฒŒ ๋ฐ”๋€Œ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ๋ณ€ํ™”๊ฐ€ ์ €๋„์˜ ์˜ํ–ฅ๋ ฅ์„ ํ–ฅ์ƒ์‹œํ‚ค์ง€ ๋ชปํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 1. SIAM ๋ฆฌ๋ทฐ์˜ ๊ฐœ์š”์™€ ๋ณ€ํ™” SIAM ๋ฆฌ๋ทฐ๋Š” SIAM์—์„œ ๋ฐœํ–‰ํ•˜๋Š” 12๊ฐœ ์ด์ƒ์˜ ํ•™์ˆ  ์ €๋„ ์ค‘ ํ•˜๋‚˜๋กœ, ๋ชจ๋“  ํšŒ์›์—๊ฒŒ ๋ฐฐํฌ๋˜๋Š” ์„ ๋„์ ์ธ ์ €๋„์ด๋‹ค. 1999๋…„์— ์ด๋ฃจ์–ด์ง„ ์ฃผ์š” ๋ณ€๊ฒฝ ์‚ฌํ•ญ์€ ์ €๋„์˜ ํ”„๋กœํ•„์„ ๋†’์ด๊ธฐ ์œ„ํ•œ ๊ฒƒ์ด์—ˆ๋‹ค. ์ด ๋ณ€ํ™”๋Š” ์ปฌ๋Ÿฌ ์ธ์‡„ ๋„์ž…๊ณผ ํ•จ๊ป˜

Mathematics
A note on triangle-free graphs

A note on triangle-free graphs

: ๋ณธ ๋…ผ๋ฌธ์€ ์‚ผ๊ฐ ๋ฌด๋ณ€ ๊ทธ๋ž˜ํ”„์˜ ์ด๋ก ์  ํƒ๊ตฌ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์ง„ํ–‰๋˜๋ฉฐ, ํŠนํžˆ ์ด๋Ÿฌํ•œ ๊ทธ๋ž˜ํ”„๊ฐ€ ๊ฐ–๋Š” ํŠน์„ฑ๊ณผ ๊ทธ์— ๋”ฐ๋ฅธ ์—ฌ๋Ÿฌ ์กฐ๊ฑด๋“ค์„ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ์‚ผ๊ฐ ๋ฌด๋ณ€ ๊ทธ๋ž˜ํ”„๋ž€ ๊ฐ„๋‹จํžˆ ๋งํ•ด ์‚ผ๊ฐํ˜•์„ ํฌํ•จํ•˜์ง€ ์•Š๋Š” ๊ทธ๋ž˜ํ”„๋ฅผ ์˜๋ฏธํ•˜๋ฉฐ, ์ด๋Š” ๊ทธ๋ž˜ํ”„ ์ด๋ก ์—์„œ ์ค‘์š”ํ•œ ์—ฐ๊ตฌ ๋Œ€์ƒ ์ค‘ ํ•˜๋‚˜์ด๋‹ค. ๋…ผ๋ฌธ์˜ ์ดˆ๋ฐ˜๋ถ€์—์„œ๋Š” ๊ธฐ๋ณธ์ ์ธ ์šฉ์–ด์™€ ์ •์˜๊ฐ€ ์ œ์‹œ๋œ๋‹ค. ํŠนํžˆ, ์ •์ ๊ณผ ๊ฐ„์„ ์˜ ์ง‘ํ•ฉ, ์ฐจ์ˆ˜, ์ง€๋ฆ„ ๋“ฑ์˜ ๊ฐœ๋…์ด ์†Œ๊ฐœ๋˜๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ธฐ์ดˆ์ ์ธ ์ •์˜๋“ค์€ ์ดํ›„ ๋…ผ์˜์— ์žˆ์–ด ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ๋˜ํ•œ, Cn๊ณผ Km,n์ด๋ผ๋Š” ํŠน๋ณ„ํ•œ ํ˜•ํƒœ์˜ ๊ทธ๋ž˜ํ”„๋“ค์ด ์–ธ๊ธ‰๋˜๋Š”๋ฐ, ์ด๋Š” ์‚ผ๊ฐ ๋ฌด๋ณ€

Computer Science Discrete Mathematics
Cryptolysis v.0.0.1 - A Framework for Automated Cryptanalysis of   Classical Ciphers

Cryptolysis v.0.0.1 - A Framework for Automated Cryptanalysis of Classical Ciphers

๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ์ „ ์•”ํ˜ธ ํ•ด๋…์„ ์ž๋™ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ๊ฐœ๋ฐœ๋œ ํ”„๋ ˆ์ž„์›Œํฌ 'ํฌ๋ฆฝํ†จ๋ฆฌ์‹œ์Šค'์˜ ์„ค๊ณ„์™€ ๊ตฌํ˜„ ๋ฐฉ๋ฒ•์„ ์ƒ์„ธํžˆ ๋‹ค๋ฃจ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ํ”„๋กœ์ ํŠธ๋Š” ์ž๋ฐ” ์–ธ์–ด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, ๋ฉ”๋ชจ๋ฆฌ ๊ด€๋ฆฌ์™€ ์ปฌ๋ ‰์…˜ ๊ด€๋ฆฌ์˜ ์šฉ์ด์„ฑ ๋•๋ถ„์— ํšจ์œจ์ ์ธ ๊ฐœ๋ฐœ ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์‹œ์Šคํ…œ ์•„ํ‚คํ…์ฒ˜ ํฌ๋ฆฝํ†จ๋ฆฌ์‹œ์Šค์˜ ์‹œ์Šคํ…œ ์•„ํ‚คํ…์ฒ˜๋Š” ์•”ํ˜ธ ์ƒ์„ฑ ๋ฐ ํ…Œ์ŠคํŠธ๋ฅผ ์œ„ํ•œ ๋‚ด๋ถ€ ๋„๊ตฌ์™€ ๊ณต๊ฒฉ ๋ชจ๋“ˆ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐ ๊ตฌ์„ฑ ์š”์†Œ ๊ฐ„ ์ƒํ˜ธ ์ž‘์šฉ์€ ์ž์„ธํžˆ ์„ค๋ช…๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ํ”„๋ ˆ์ž„์›Œํฌ์˜ ์ „์ฒด์ ์ธ ๊ตฌ์กฐ๋ฅผ ์ดํ•ดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํŒจํ‚ค์ง€ ๊ตฌ์กฐ : ์ž๋ฐ” ํŒจํ‚ค์ง€ ๊ตฌ์กฐ๋Š” ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ๋ชจ๋“ˆ

Framework Analysis Software Engineering Cryptography and Security Computer Science
On the Non-Termination of Rupperts Algorithm

On the Non-Termination of Rupperts Algorithm

๋ฃจํผํŠธ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ์‚ผ๊ฐํ™” ๊ณผ์ •์—์„œ ๊ฐ๋„์— ๋Œ€ํ•œ ์—„๊ฒฉํ•œ ์ œํ•œ์„ ์„ค์ •ํ•จ์œผ๋กœ์จ, ํ‰๋ฉด ๊ทธ๋ž˜ํ”„๋ฅผ ์•ˆ์ •์ ์ธ ๊ตฌ์กฐ๋กœ ๋ณ€ํ™˜ํ•˜๋Š” ๋ฐ ์ค‘์ ์„ ๋‘๊ณ  ์žˆ๋‹ค. ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ํ•ต์‹ฌ์€ ๋ชจ๋“  ์‚ผ๊ฐํ˜•์ด ์ตœ์†Œ ๊ฐ๋„ ฮฑ๋ณด๋‹ค ์ž‘๊ฑฐ๋‚˜ ๊ฐ™์€ ๊ฐ๋„๋ฅผ ๊ฐ€์ง€๋„๋ก ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ดˆ๊ธฐ ์—ฐ๊ตฌ์—์„œ๋Š” 20.7ยฐ๊ฐ€ ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ์ข…๋ฃŒ๋˜๋Š” ๊ฐ€์žฅ ์ž‘์€ ฮฑ ๊ฐ’์œผ๋กœ ์ œ์‹œ๋˜์—ˆ์œผ๋‚˜, ํ›„์† ์‹คํ—˜์„ ํ†ตํ•ด ์ด๋Š” ๋งค์šฐ ๋ณด์ˆ˜์ ์ธ ์ถ”์ •์ด๋ผ๋Š” ๊ฒƒ์ด ๋ฐํ˜€์กŒ๋‹ค. ํŒŒ๋ธŒ ์˜ˆ์ œ์˜ ๋ถ„์„: ์Šคํ‹ฐ๋ธ ํŒŒ๋ธŒ๋Š” ๋ฃจํผํŠธ ์•Œ๊ณ ๋ฆฌ์ฆ˜์—์„œ ๋น„์ข…๊ฒฐ์„ฑ์ด ๋ฐœ์ƒํ•˜๋Š” ๊ฒฝ์šฐ๋ฅผ ๋ณด์—ฌ์ฃผ๋Š” ์˜ˆ์ œ๋ฅผ ์ œ์‹œํ–ˆ๋‹ค. ์ด ์˜ˆ์ œ์—์„œ๋Š” ๋‘ ๊ฐœ์˜ ์ธ์ ‘ํ•œ ์„ธ๊ทธ๋จผํŠธ๊ฐ€ 3

Computer Science Computational Geometry
The Bipolar X-Ray Jet of the Classical T Tauri Star DG Tau

The Bipolar X-Ray Jet of the Classical T Tauri Star DG Tau

DG Tau๋Š” T ํƒ€์šฐ์„ฑ ์ค‘ ํ•˜๋‚˜๋กœ, ์ฃผ๋ณ€์— ๋งŽ์€ ํ•ญ์„ฑ๊ฐ„ ๋ฌผ์งˆ์ด ์กด์žฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” DG Tau์—์„œ ๊ด€์ฐฐ๋œ X์„  ์ œํŠธ์˜ ํŠน์ง•๊ณผ ๋™์  ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ์ œํŠธ์˜ ๋™ํ–ฅ๊ณผ ์ถฉ๊ฒฉํŒŒ๋กœ ์ธํ•œ ๊ฐ€์Šค์˜ ์—ดํ™” ํ˜„์ƒ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ๋ณ„ ์ฃผ๋ณ€์˜ ๋ฌผ๋ฆฌํ•™์  ๊ณผ์ •์„ ์ดํ•ดํ•˜๋Š”๋ฐ ์ค‘์š”ํ•œ ๋‹จ์„œ๊ฐ€ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. X์„  ์ œํŠธ์˜ ๊ด€์ฐฐ ๋ฐ ๋ถ„์„ DG Tau์—์„œ ๊ด€์ฐฐ๋œ X์„  ์ œํŠธ๋Š” PA 225๋„ ๋ฐฉํ–ฅ์œผ๋กœ 5 6'๊นŒ์ง€ ํ™•์žฅ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” Chandra ๋ง์›๊ฒฝ์„ ์ด์šฉํ•˜์—ฌ DG Tau๋ฅผ ์ƒ์„ธํžˆ ๊ด€์ฐฐํ•˜์˜€์œผ๋ฉฐ, ํŠนํžˆ

Astrophysics
Turbulent viscosity variability in self-propelled body wake model

Turbulent viscosity variability in self-propelled body wake model

: ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ž๊ฐ€ ์ถ”์ง„์ฒด์˜ ๋‚œ๋ฅ˜ ํ›„๋ฅ˜์—์„œ ์ผ์ •ํ•œ ๋‚œ๋ฅ˜ ์ ๋„ ๊ฐ€์ •์„ ํ๊ธฐํ•˜๊ณ , ์ขŒํ‘œ์— ๋”ฐ๋ฅธ ๋ณ€๋™์„ ๊ณ ๋ คํ•˜๋Š” ์ƒˆ๋กœ์šด ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์‹œํ•œ๋‹ค. ์ด๋Š” ์‹ค์ œ ํ๋ฆ„ ํ˜„์ƒ๊ณผ ๋” ์ž˜ ๋ถ€ํ•ฉํ•˜๋ฉฐ, ๊ธฐ์กด ๋ชจ๋ธ์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๋ ค๋Š” ์‹œ๋„์ด๋‹ค. 1. ๋‚œ๋ฅ˜ ํ›„๋ฅ˜์˜ ์ค‘์š”์„ฑ ๋‚œ๋ฅ˜ ํ›„๋ฅ˜์˜ ์—ฐ๊ตฌ๋Š” ๊ณผํ•™์  ์ดํ•ด๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์‹ค์šฉ์ ์ธ ์ธก๋ฉด์—์„œ๋„ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๊ณตํ•ญ ์šด์˜์—์„œ๋Š” ๋‚œ๋ฅ˜ ํ›„๋ฅ˜๊ฐ€ ๋น„ํ–‰๊ธฐ์˜ ์ด์ฐฉ๋ฅ™์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋ฉฐ, ํ•ด์–‘ ํ‘œ์ธต์—์„œ์˜ ํ˜ผํ•ฉ ๊ณผ์ •์€ ์„ ๋ฐ•์˜ ์šดํ•ญ๊ณผ ์ง์ ‘์ ์œผ๋กœ ์—ฐ๊ด€๋˜์–ด ์žˆ๋‹ค. ํŠนํžˆ, ์„ ๋ฐ•์˜ ๋‚œ๋ฅ˜ ํ›„๋ฅ˜๋Š” ๋ ˆ์ด๋” ๊ด€์ธก ํ•ด์„์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜

Physics Model
Upper Limit on the Diffuse $nu_mu$ Flux with the ANTARES Telescope

Upper Limit on the Diffuse $nu_mu$ Flux with the ANTARES Telescope

๋ณธ ๋…ผ๋ฌธ์€ ANTARES ์ค‘์„ฑ์ž ๋ง์›๊ฒฝ์„ ์ด์šฉํ•˜์—ฌ ๋งค์šฐ ๋†’์€ ์—๋„ˆ์ง€์˜ ์šฐ์ฃผ ๋ฌด์˜จ์ค‘์„ฑ์ž์˜ ์กด์žฌ๋ฅผ ํƒ์ƒ‰ํ•˜๊ณ , ๊ทธ ํ™•์‚ฐ ํ๋ฆ„ ์ƒํ•œ์„ ์„ ์ œ์‹œํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2007๋…„ 12์›”๋ถ€ํ„ฐ 2009๋…„ 12์›”๊นŒ์ง€ ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ, ANTARES ๋ง์›๊ฒฝ์€ ์ง€์ค‘ํ•ด์— ์„ค์น˜๋œ 885๊ฐœ์˜ ๊ด‘๋ฉ€ํ‹ฐํ”Œ๋ผ์ด์–ด ํŠœ๋ธŒ(PMT)๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์šฐ์ฃผ ๋ฌด์˜จ์ค‘์„ฑ์ž์˜ ์ŠคํŽ™ํŠธ๋Ÿผ์ด ๋Œ€๊ธฐ ๋ฌด์˜จ์ค‘์„ฑ์ž๋ณด๋‹ค ๋” ๋†’์€ ์—๋„ˆ์ง€๋ฅผ ๊ฐ€์งˆ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋จ์— ๋”ฐ๋ผ, ํŠน์ • ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ๊ฐ€์ • ์—†์ด ๊ณ ์—๋„ˆ์ง€ ์‚ฌ๊ฑด์˜ ์ดˆ๊ณผ ์—ฌ๋ถ€๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ๋ฐฐ๊ฒฝ ๋ฐ ๋ฐฉ๋ฒ•๋ก  ANTARES ๋ง์›

Astrophysics
An Efficient Real Time Method of Fingertip Detection

An Efficient Real Time Method of Fingertip Detection

: ๋ณธ ๋…ผ๋ฌธ์€ ์„ผ์„œ๋‚˜ ๋งˆ์ปค ์—†์ด ๋™์ ์ธ ์† ์ œ์Šค์ฒ˜๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์ธ์‹ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ๊นŠ์ด ์žˆ๊ฒŒ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ์ง€๋ฌธ ๊ฐ์ง€ ๊ธฐ์ˆ ์—์„œ ๋‚˜ํƒ€๋‚œ ์—ฌ๋Ÿฌ ๋ฌธ์ œ์ ์„ ํ•ด๊ฒฐํ•˜๋ ค๊ณ  ์‹œ๋„ํ•œ๋‹ค. 1. ๊ธฐ์กด ์ ‘๊ทผ๋ฒ•์˜ ํ•œ๊ณ„ Garg

Detection Artificial Intelligence Computer Vision Multimedia Computer Science
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
Notes on Electronic Lexicography

Notes on Electronic Lexicography

๋ณธ ๋…ผ๋ฌธ์€ ์ „์ž ์‚ฌ์ „์˜ ๋ณธ์งˆ๊ณผ ๊ทธ ์ค‘์š”์„ฑ์„ ๋‹ค๊ฐ๋„๋กœ ๋ถ„์„ํ•˜๋ฉฐ, ๋””์ง€ํ„ธ ์‹œ๋Œ€์—์„œ ์–ธ์–ด ์ž๋ฃŒ ํ‘œํ˜„ ๋ฐฉ์‹์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ๊ด€์ ์„ ์ œ์‹œํ•œ๋‹ค. ์ฃผ์š” ๋‚ด์šฉ์„ ์„ธ ๊ฐ€์ง€ ํฐ ๋ฒ”์ฃผ๋กœ ๋‚˜๋ˆ„์–ด ์‚ดํŽด๋ณด๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ์ „์ž ์‚ฌ์ „์˜ ๋ณธ์งˆ๊ณผ ์˜๋ฏธ ์žฌํ•ด์„ ์ „์ž ์‚ฌ์ „์€ ๋‹จ์ˆœํžˆ ์ข…์ด ์‚ฌ์ „์˜ ๋””์ง€ํ„ธ ๋ณ€ํ˜•์ฒด๊ฐ€ ์•„๋‹ˆ๋ผ, ์ƒˆ๋กœ์šด ์˜๋ฏธ์™€ ๊ธฐ๋Šฅ์„ ์ง€๋‹Œ ๋…ํŠนํ•œ ์–ธ์–ด ์ž๋ฃŒ๋กœ ์ •์˜๋œ๋‹ค. ์ด๋Š” '์ข…์ด ์ „์ž' ์ด๋ถ„๋ฒ•์—์„œ ๋ฒ—์–ด๋‚˜ ํ…์ŠคํŠธ์™€ ๋งค์ฒด๋ฅผ ๋ถ„๋ฆฌํ•˜์ง€ ์•Š๋Š” ๋ณธ์งˆ์ ์ธ ๊ด€์ ์„ ์ œ์‹œํ•œ๋‹ค. ์ „์ž ์‚ฌ์ „์€ ๋””์ง€ํ„ธ ํ™˜๊ฒฝ์—์„œ ์˜๋ฏธ ์ƒ์„ฑ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ํ†ตํ•ด ์„ธ๋ถ„ํ™”๋œ ์˜๋ฏธ๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋…

NLP Computer Science
Symmetrical Dispersion Compensation For High Speed Optical Links

Symmetrical Dispersion Compensation For High Speed Optical Links

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ์† ๊ด‘ ๋งํฌ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ถ„์‚ฐ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋Œ€์นญ ๋ถ„์‚ฐ ๋ณด์ƒ ๊ธฐ์ˆ ์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ํŠนํžˆ, ๋‹จ๋ชจ๋“œ ์„ฌ์œ (SMF)์˜ ๋‚ด๋ชจ๋‹ฌ ๋ถ„์‚ฐ์ด ๊ณ ์† ์ „์†ก ์‹œ์Šคํ…œ์— ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ฌธ์ œ์ ์„ ์ง€์ ํ•˜๊ณ , ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•๋ก ๊ณผ ๊ทธ ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•ฉ๋‹ˆ๋‹ค. 1. ๋ถ„์‚ฐ ๋ณด์ƒ ๊ธฐ์ˆ  ๊ฐœ์š” ๋ถ„์‚ฐ์€ ๊ด‘ ์‹ ํ˜ธ๊ฐ€ ์ „์†ก๋˜๋Š” ๋™์•ˆ ๋ฐœ์ƒํ•˜๋Š” ์‹œ๊ฐ„ ์ง€์—ฐ์˜ ์ฐจ์ด๋กœ ์ธํ•ด ํŽ„์Šค ํ˜•ํƒœ๊ฐ€ ์™œ๊ณก๋˜์–ด ์‹ ํ˜ธ์˜ ์งˆ์„ ์ €ํ•˜์‹œํ‚ค๋Š” ์ฃผ์š” ์š”์ธ์ž…๋‹ˆ๋‹ค. ํŠนํžˆ, ๊ณ ์† ์‹œ์Šคํ…œ์—์„œ๋Š” ๋ถ„์‚ฐ์œผ๋กœ ์ธํ•œ ๋ฌธ์ œ์ ์ด ๋”์šฑ ์‹ฌ๊ฐํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค. ์ด์— ๋”ฐ๋ผ, ๋ถ„์‚ฐ ๋ณด์ƒ ๊ธฐ์ˆ ์€ ๊ด‘ ๋งํฌ

Computer Science Networking
A Non-Mainstream Viewpoint on Apparent Superluminal Phenomena in AGN Jet

A Non-Mainstream Viewpoint on Apparent Superluminal Phenomena in AGN Jet

: ๋ฐฐ๊ฒฝ๊ณผ ๋ฌธ์ œ์˜ ์ค‘์š”์„ฑ AGN ์ œํŠธ์—์„œ ๊ด€์ฐฐ๋˜๋Š” ์ดˆ๊ด‘์† ํ˜„์ƒ์€ ์ƒ๋Œ€๋ก ์  ๋น” ๋ชจ๋ธ๋กœ ์„ค๋ช…๋˜์–ด ์™”๋‹ค. ์ด ๋ชจ๋ธ์€ ๋น›์˜ ์†๋„ c ์— ๋Œ€ํ•œ ๊ด€์ธก๋œ ์ „๋‹จ ์†๋„๋ฅผ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด AGN ์ œํŠธ ๋‚ด์—์„œ ๋ฌผ์งˆ์ด ๋น›๋ณด๋‹ค ๋” ๋น ๋ฅด๊ฒŒ ์›€์ง์ด๋Š” ๊ฒƒ์ฒ˜๋Ÿผ ๋ณด์ผ ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ์ƒ๋Œ€๋ก ์  ํšจ๊ณผ์™€ ๊ด€๋ จ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์‹ค์ œ ์†๋„๋Š” ๋น›์˜ ์†๋„ c ๋ฅผ ์ดˆ๊ณผํ•˜์ง€ ์•Š๋Š”๋‹ค. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ฐ ๊ฒฐ๊ณผ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ „ํ†ต์ ์ธ ๋ชจ๋ธ์„ ํ™•์žฅํ•˜์—ฌ ์ฃผ๋ณ€ ๋งค์งˆ ๋‚ด์—์„œ ๋น›์˜ ์ง‘๋‹จ ์†๋„๊ฐ€ 1์ด ์•„๋‹Œ ๊ฒฝ์šฐ๋ฅผ ๊ณ ๋ คํ•œ๋‹ค. ์ด๋Š” ์ฃผ๋ณ€ ๋งค์งˆ์˜ ํŠน์„ฑ์— ๋”ฐ๋ผ ๋น›์˜ ์†๋„๊ฐ€ ๋ณ€

Astrophysics

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