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Fingerprint Dive into the research topics where Kevin Vinsen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
galaxies Physics & Astronomy
spectral energy distribution Physics & Astronomy
radio frequency interference Physics & Astronomy
Radio astronomy Engineering & Materials Science
assembly Physics & Astronomy
Chile Physics & Astronomy
Pipelines Engineering & Materials Science
energy budgets Physics & Astronomy

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2019

  • 117 Citations
  • 5 h-Index
  • 11 Article
  • 9 Conference paper
4 Citations (Scopus)

Chiles: H I morphology and galaxy environment at z = 0.12 and z = 0.17

Hess, K. M., Luber, N. M., Fernández, X., Gim, H. B., Van Gorkom, J. H., Momjian, E., Gross, J., Meyer, M., Popping, A., Davies, L. J. M., Hunt, L., Kreckel, K., Lucero, D., Pisano, D. J., Sanchez-Barrantes, M., Yun, M. S., Dodson, R., Vinsen, K., Wicenec, A., Wu, C. & 10 othersBershady, M. A., Chung, A., Davis, J. D., Meyer, J. D., Henning, P., Maddox, N., Smith, E. T., Van Der Hulst, J. M., Verheijen, M. A. W. & Wilcots, E. M., 1 Jan 2019, In : Monthly Notices of the Royal Astronomical Society. 484, 2, p. 2234-2256 23 p.

Research output: Contribution to journalArticle

Chile
galaxies
radio frequency interference
radio
data reduction
2 Citations (Scopus)

Impact of dark matter sub-haloes on the outer gaseous discs of galaxies

Shah, M., Bekki, K., Vinsen, K. & Foster, S., 2019, In : Monthly Notices of the Royal Astronomical Society. 482, 3, p. 4188-4202 15 p.

Research output: Contribution to journalArticle

halos
dark matter
galaxies
kinematics
gas

Using deep learning to localize gravitational wave sources

Chatterjee, C., Wen, L., Vinsen, K., Kovalam Lakshmi Narasimha, M. & Datta, A., 26 Nov 2019, In : Physical Review D - Particles, Fields, Gravitation and Cosmology. 100, 10, 17 p., 103025.

Research output: Contribution to journalArticle

gravitational waves
learning
sectors
sky
education

Using machine learning for the detection of radio frequency interference

Vinsen, K., Foster, S. & Dodson, R., 20 Jun 2019, 2019 URSI Asia-Pacific Radio Science Conference, AP-RASC 2019. India: IEEE, Institute of Electrical and Electronics Engineers, 8738332. (2019 URSI Asia-Pacific Radio Science Conference, AP-RASC 2019).

Research output: Chapter in Book/Conference paperConference paper

radio frequency interference
Radio interference
machine learning
Learning systems
radio signals

GAMA/G10-COSMOS/3D-HST: the 0 <z <5 cosmic star formation history, stellar-mass, and dust-mass densities

Driver, S. P., Andrews, S. K., da Cunha, E., Davies, L. J., Lagos, C., Robotham, A. S. G., Vinsen, K., Wright, A. H., Alpaslan, M., Bland-Hawthorn, J., Bourne, N., Brough, S., Bremer, M. N., Cluver, M., Colless, M., Conselice, C. J., Dunne, L., Eales, S. A., Gomez, H., Holwerda, B. & 13 othersHopkins, A. M., Kafle, P. R., Kelvin, L. S., Loveday, J., Liske, J., Maddox, S. J., Phillipps, S., Pimbblet, K., Rowlands, K., Sansom, A. E., Taylor, E., Wang, L. & Wilkins, S. M., Apr 2018, In : Monthly Notices of the Royal Astronomical Society. 475, 3, p. 2891-2935 45 p.

Research output: Contribution to journalArticle

Projects 2017 2020