Search Results for author: R. Kotak

Found 3 papers, 1 papers with code

Self-Supervised Clustering on Image-Subtracted Data with Deep-Embedded Self-Organizing Map

no code implementations • 14 Sep 2022 • Y. -L. Mong, K. Ackley, T. L. Killestein, D. K. Galloway, M. Dyer, R. Cutter, M. J. I. Brown, J. Lyman, K. Ulaczyk, D. Steeghs, V. Dhillon, P. O'Brien, G. Ramsay, K. Noysena, R. Kotak, R. Breton, L. Nuttall, E. Palle, D. Pollacco, E. Thrane, S. Awiphan, U. Burhanudin, P. Chote, A. Chrimes, E. Daw, C. Duffy, R. Eyles-Ferris, B. P. Gompertz, T. Heikkila, P. Irawati, M. Kennedy, A. Levan, S. Littlefair, L. Makrygianni, T. Marsh, D. Mata Sanchez, S. Mattila, J. R. Maund, J. McCormac, D. Mkrtichian, J. Mullaney, E. Rol, U. Sawangwit, E. Stanway, R. Starling, P. Strom, S. Tooke, K. Wiersema

The identification of transient detections from the subtraction artifacts after the image differencing process is a key step in such classifiers, known as real-bogus classification problem.

Clustering

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Progenitor, environment, and modelling of the interacting transient, AT 2016jbu (Gaia16cfr)

no code implementations • 18 Feb 2021 • S. J. Brennan, M. Fraser, J. Johansson, A. Pastorello, R. Kotak, H. F. Stevance, T. -W. Chen, J. J. Eldridge, S. Bose, P. J. Brown, E. Callis, R. Cartier, M. Dennefeld, Subo Dong, P. Duffy, N. Elias-Rosa, G. Hosseinzadeh, E. Hsiao, H. Kuncarayakti, A. Martin-Carrillo, B. Monard, G. Pignata, D. Sand, B. J. Shappee, S. J. Smartt, B. E. Tucker, L. Wyrzykowski, H. Abbot, S. Benetti, S. Blondin, Ping Chen, J. Bento, A. Delgado, L. Galbany, M. Gromadzki, C. P. Gutiérrez, L. Hanlon, D. L. Harrison, D. Hiramatsu, S. T. Hodgkin, T. W. -S. Holoien, D. A. Howell, C. Inserra, E. Kankare, S. Kozlowski, K. Maguire, T. E. Müller-Bravo, C. McCully, P. Meintjes, N. Morrell, M. Nicholl, D. O'Neill, P. Pietrukowicz, R. Poleski, J. L. Prieto, A. Rau, D. E. Reichart, T. Schweyer, M. Shahbandeh, J. Skowron, J. Sollerman, I. Soszńyski, M. D. Stritzinger, M. Szymański, L. Tartaglia, A. Udalski, K. Ulaczyk, D. R. Young, M. van Leeuwen, B. van Soelen

We present the bolometric lightcurve, identification and analysis of the progenitor candidate, and preliminary modelling of AT2016jbu (Gaia16cfr).

High Energy Astrophysical Phenomena Solar and Stellar Astrophysics

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The Complete Light-curve Sample of Spectroscopically Confirmed Type Ia Supernovae from Pan-STARRS1 and Cosmological Constraints from The Combined Pantheon Sample

2 code implementations • 2 Oct 2017 • D. M. Scolnic, D. O. Jones, A. Rest, Y. C. Pan, R. Chornock, R. J. Foley, M. E. Huber, R. Kessler, G. Narayan, A. G. Riess, S. Rodney, E. Berger, D. J. Brout, P. J. Challis, M. Drout, D. Finkbeiner, R. Lunnan, R. P. Kirshner, N. E. Sanders, E. Schlafly, S. Smartt, C. W. Stubbs, J. Tonry, W. M. Wood-Vasey, M. Foley, J. Hand, E. Johnson, W. S. Burgett, K. C. Chambers, P. W. Draper, K. W. Hodapp, N. Kaiser, R. P. Kudritzki, E. A. Magnier, N. Metcalfe, F. Bresolin, E. Gall, R. Kotak, M. McCrum, K. W. Smith

When the SN and CMB constraints are combined with constraints from BAO and local H0 measurements, the analysis yields the most precise measurement of dark energy to date: $w0 = -1. 007\pm 0. 089$ and $wa = -0. 222 \pm0. 407$ for the w0waCDM model.

Cosmology and Nongalactic Astrophysics

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