An Optically Led Search for Kilonovae to z$\sim$0.3 with the Kilonova and Transients Program (KNTraP)

Autor: Van Bemmel, Natasha, Zhang, Jielai, Cooke, Jeff, Rest, Armin, Möller, Anais, Andreoni, Igor, Auchettl, Katie, Dobie, Dougal, Gendre, Bruce, Goode, Simon, Freeburn, James, Jones, David O., Kilpatrick, Charles D., Lien, Amy, Rau, Arne, Spitler, Lee, Suhr, Mark, Valdes, Fransisco

Compact binary mergers detectable in gravitational waves can be accompanied by a kilonova, an electromagnetic transient powered by radioactive decay of newly synthesised r-process elements. A few kilonova candidates have been observed during short ga

Externí odkaz: http://arxiv.org/abs/2411.16136

Management of a Multi-User Robotic Observatory

Autor: Moore, John, Gendre, Bruce, Coward, David, Panther, Fiona, Moore, Eloise

The Zadko Observatory located approximately 70 kilometres north of Perth in the Yeal nature reserve within the Shire of Gingin, Western Australia, initially housed the 1.0 metre f/4 fast-slew Zadko Telescope which was commissioned in June 2008. Since

Externí odkaz: http://arxiv.org/abs/2410.08006

Ready for O4 II: GRANDMA Observations of Swift GRBs during eight-weeks of Spring 2022

Autor: Melo, I. Tosta e, Ducoin, J. -G., Vidadi, Z., Andrade, C., Rupchandani, V., Agayeva, S., Abdelhadi, J., Abe, L., Aguerre-Chariol, O., Aivazyan, V., Alishov, S., Antier, S., Bai, J. -M., Baransky, A., Bednarz, S., Bendjoya, Ph., Benkhaldoun, Z., Beradze, S., Bizouard, M. A., Bhardwaj, U., Blazek, M., Boër, M., Broens, E., Burkhonov, O., Christensen, N., Cooke, J., Corradi, W., Coughlin, M. W., Culino, T., Daigne, F., Dornic, D., Duverne, P. -A., Ehgamberdiev, S., Eymar, L., Fouad, A., Freeberg, M., Gendre, B., Guo, F., Gokuldass, P., Guessoum, N., Gurbanov, E., Hainich, R., Hasanov, E., Hello, P., Inasaridze, R., Iskandar, A., Ismailov, N., Janati, A., Laz, T. Jegou du, Kann, D. A., Karpov, S., Kiendrebeogo, R. W., Klotz, A., Kneip, R., Kochiashvili, N., Kaeouach, A., Kruiswijk, K., Lamoureux, M., Leroy, N., Lin, W. L., Mao, J., Marchais, D., Mašek, M., Midavaine, T., Moller, A., Morris, D., Natsvlishvili, R., Navarete, F., Guelbenzu, A Nicuesa, Noonan, K., Noysena, K., Oksanen, A., Orange, N. B., Pellouin, C., Peloton, J., Peng, H. W., Pilloix, M., Popowicz, A., Pradier, T., Pyshna, O., Raaijmakers, G., Rajabov, Y., Rau, A., Rinner, C., Rivet, J. -P., Ryh, A. S., Sabil, M., Sadibekova, T., Sasaki, N., Serrau, M., Simon, A., Shokry, A., Smith, K., Sokoliuk, O., Song, X., Takey, A., Thierry, P., Tillayev, Y., Turpin, D., Postigo, A. de Ugarte, Vasylenko, V., Vernet, D., Wang, L., Vachier, F., Vignes, J. P., Wang, X. F., Zeng, X., Zhang, J., Zhu, Y.

We present a campaign designed to train the GRANDMA network and its infrastructure to follow up on transient alerts and detect their early afterglows. In preparation for O4 II campaign, we focused on GRB alerts as they are expected to be an electroma

Externí odkaz: http://arxiv.org/abs/2310.17287

Benchmarking imputation methods for categorical biological data

Autor: Matthieu Gendre, Torsten Hauffe, Catalina Pimiento, Daniele Silvestro

Publikováno v: Methods in Ecology and Evolution, Vol 15, Iss 9, Pp 1624-1638 (2024)

Abstract Trait datasets are at the basis of a large share of ecology and evolutionary research, being used to infer ancestral morphologies, quantify species extinction risks, or evaluate the functional diversity of biological communities. These datas

Externí odkaz: https://doaj.org/article/6609bc831c3f4d919d4443a547259b2c

Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions

Autor: Navas, Marelys Crespo, Gadat, Sébastien, Gendre, Xavier

In this paper, we investigate a continuous time version of the Stochastic Langevin Monte Carlo method, introduced in [WT11], that incorporates a stochastic sampling step inside the traditional over-damped Langevin diffusion. This method is popular in

Externí odkaz: http://arxiv.org/abs/2301.03077