The JADES Transient Survey: Discovery and Classification of Supernovae in the JADES Deep Field

被引:0
|
作者
Steward Observatory, University of Arizona, 933 N. Cherry Ave, Tucson [1 ]
AZ
85721, United States
不详 [2 ]
MD
21218, United States
不详 [3 ]
MA
02138, United States
不详 [4 ]
MD
21218, United States
不详 [5 ]
OX1 3RH, United Kingdom
不详 [6 ]
75014, France
不详 [7 ]
OK
74078, United States
不详 [8 ]
85748, Germany
不详 [9 ]
CB3 0HA, United Kingdom
不详 [10 ]
CB3 0HE, United Kingdom
不详 [11 ]
WC1E 6BT, United Kingdom
不详 [12 ]
181-8588, Japan
不详 [13 ]
181-8588, Japan
不详 [14 ]
VIC
3800, Australia
不详 [15 ]
CA
92812-1221, United States
不详 [16 ]
277-8583, Japan
不详 [17 ]
CA
96054, United States
不详 [18 ]
AZ
85719, United States
不详 [19 ]
BC
V9E 2E7, Canada
机构
来源
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Curve fitting - Galaxies - Infrared devices - Infrared imaging - Silicate minerals
引用
下载
收藏
相关论文
共 50 条
  • [41] Discovery of a methane dwarf from the IfA Deep Survey
    Liu, MC
    Wainscoat, R
    Martín, EL
    Barris, B
    Tonry, J
    ASTROPHYSICAL JOURNAL, 2002, 568 (02): : L107 - L111
  • [42] A Survey of Audio Classification Using Deep Learning
    Zaman, Khalid
    Sah, Melike
    Direkoglu, Cem
    Unoki, Masashi
    IEEE ACCESS, 2023, 11 : 106620 - 106649
  • [43] Automatic Modulation Classification: A Deep Architecture Survey
    Thien Huynh-The
    Quoc-Viet Pham
    Toan-Van Nguyen
    Thanh Thi Nguyen
    Ruby, Rukhsana
    Zeng, Ming
    Kim, Dong-Seong
    IEEE ACCESS, 2021, 9 : 142950 - 142971
  • [44] Survey on Interpretability of Deep Models for Image Classification
    Yang P.-B.
    Sang J.-T.
    Zhang B.
    Feng Y.-G.
    Yu J.
    Ruan Jian Xue Bao/Journal of Software, 2023, 34 (01): : 230 - 254
  • [45] Deep learning for hyperspectral image classification: A survey
    Kumar, Vinod
    Singh, Ravi Shankar
    Rambabu, Medara
    Dua, Yaman
    COMPUTER SCIENCE REVIEW, 2024, 53
  • [46] Supernovae in the Subaru Deep Field: the rate and delay-time distribution of Type Ia supernovae out to redshift 2
    Graur, O.
    Poznanski, D.
    Maoz, D.
    Yasuda, N.
    Totani, T.
    Fukugita, M.
    Filippenko, A. V.
    Foley, R. J.
    Silverman, J. M.
    Gal-Yam, A.
    Horesh, A.
    Jannuzi, B. T.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2011, 417 (02) : 916 - 940
  • [47] The FORS Deep Field spectroscopic survey
    Noll, S
    Mehlert, D
    Appenzeller, I
    Bender, R
    Böhm, A
    Gabasch, A
    Heidt, J
    Hopp, U
    Jäger, K
    Seitz, S
    Stahl, O
    Tapken, C
    Ziegler, BL
    ASTRONOMY & ASTROPHYSICS, 2004, 418 (03) : 885 - 906
  • [48] The ISO survey of the Hubble Deep Field
    Rowan-Robinson, M
    YOUNG UNIVERSE: GALAXY FORMATION AND EVOLUTION AT INTERMEDIATE AND HIGH REDSHIFT, 1998, 146 : 118 - 125
  • [49] A rate study of Type Ia supernovae with Subaru/XMM-Newton Deep Survey
    Ihara, Yutaka
    Doi, Mamoru
    Morokuma, Tomoki
    Pain, Raynald
    Takanashi, Naohiro
    Yasuda, Naoki
    Aldering, Greg
    Dawson, Kyle
    Goldhaber, Gerson
    Hook, Isobel
    Lidman, Chris
    Perlmutter, Saul
    Spadafora, Anthony
    Suzuki, Nao
    Wang, Lifan
    STELLAR POPULATIONS: PLANNING FOR THE NEXT DECADE, 2010, (262): : 358 - 361
  • [50] Deep Learning for Automated Feature Discovery and Classification of Sleep Stages
    Sokolovsky, Michael
    Guerrero, Francisco
    Paisarnsrisomsuk, Sarun
    Ruiz, Carolina
    Alvarez, Sergio A.
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 17 (06) : 1835 - 1845