文献
J-GLOBAL ID:201902266282971685
整理番号:19A1484137
Advact Kilopixel遷移端センサアレイを特性化するための機械学習,Markov連鎖モンテカルロ,および最適アルゴリズム【JST・京大機械翻訳】
Machine Learning, Markov Chain Monte Carlo, and Optimal Algorithms to Characterize the AdvACT Kilopixel Transition-Edge Sensor Arrays
著者 (15件):
Salatino Maria
(Physics Department, Princeton University, Princeton, NJ, USA)
,
Austermann Jason
(NIST, Boulder, CO, USA)
,
Beall James A.
(NIST, Boulder, CO, USA)
,
Choi Steve
(Physics Department, Princeton University, Princeton, NJ, USA)
,
Crowley Kevin T.
(Physics Department, Princeton University, Princeton, NJ, USA)
,
Duff Shannon
(NIST, Boulder, CO, USA)
,
Henderson Shawn W.
(Cornell University, Ithaca, NY, USA)
,
Hilton Gene
(NIST, Boulder, CO, USA)
,
Ho S.-P. P.
(Physics Department, Princeton University, Princeton, NJ, USA)
,
Hubmayr Johannes
(NIST, Boulder, CO, USA)
,
Li Yaqiong
(Physics Department, Princeton University, Princeton, NJ, USA)
,
Niemack Michael D.
(Cornell University, Ithaca, NY, USA)
,
Simon Sara M.
(Michigan University, Ann Arbor, MI, USA)
,
Staggs Suzanne T.
(Physics Department, Princeton University, Princeton, NJ, USA)
,
Wollack Edward J.
(NASA/Goddard Space Flight Center, Greenbelt, MD, USA)
資料名:
IEEE Transactions on Applied Superconductivity
(IEEE Transactions on Applied Superconductivity)
巻:
29
号:
5
ページ:
ROMBUNNO.2101305.1-5
発行年:
2019年
JST資料番号:
W0177A
ISSN:
1051-8223
CODEN:
ITASE9
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)