NIRPS first light and early science: breaking the 1 m/s RV precision barrier at infrared wavelengths

Autor: Artigau, Étienne, Bouchy, François, Doyon, René, Baron, Frédérique, Malo, Lison, Wildi, François, Pepe, Franceso, Cook, Neil J., Thibault, Simon, Reshetov, Vladimir, Dumusque, Xavier, Lovis, Christophe, Sosnowska, Danuta, Martins, Bruno L. Canto, De Medeiros, Jose Renan, Delfosse, Xavier, Santos, Nuno, Rebolo, Rafael, Abreu, Manuel, Allain, Guillaume, Allart, Romain, Auger, Hugues, Barros, Susana, Bazinet, Luc, Blind, Nicolas, Boisse, Isabelle, Bonfils, Xavier, Bourrier, Vincent, Bovay, Sébastien, Broeg, Christopher, Brousseau, Denis, Bruniquel, Vincent, Cabral, Alexandre, Cadieux, Charles, Carmona, Andres, Carteret, Yann, Challita, Zalpha, Chazelas, Bruno, Cloutier, Ryan, Coelho, João, Cointepas, Marion, Conod, Uriel, Cowan, Nicolas, Cristo, Eduardo, da Silva, João Gomes, Dauplaise, Laurie, Gomes, Roseane de Lima, Delgado-Mena, Elisa, Ehrenreich, David, Faria, João, Figueira, Pedro, Forveille, Thierry, Frensch, Yolanda, Gagné, Jonathan, Genest, Frédéric, Genolet, Ludovic, Hernández, Jonay I. González, Témich, Félix Gracia, Grieves, Nolan, Hernandez, Olivier, Hobson, Melissa J., Hoeijmakers, Jens, Kerley, Dan, Krishnamurthy, Vigneshwaran, Lafrenière, David, Lamontagne, Pierrot, Larue, Pierre, Leaf, Henry, Leão, Izan C., Lim, Olivia, Curto, Gaspare Lo, Martins, Allan M., Melo, Claudio, Messias, Yuri S., Mignon, Lucile, Moranta, Leslie, Mordasini, Christoph, Moulla, Khaled Al, Mounzer, Dany, L'Heureux, Alexandrine, Nari, Nicola, Nielsen, Louise, Osborn, Ares, Parc, Léna, Pasquini, Luca, Passegger, Vera M., Pelletier, Stefan, Peroux, Céline, Piaulet, Caroline, Plotnykov, Mykhaylo, Poulin-Girard, Anne-Sophie, Rasilla, José Luis, Saint-Antoine, Jonathan, Sarajlic, Mirsad, Segovia, Alex, Seidel, Julia, Ségransan, Damien, Silva, Ana Rita Costa, Srivastava, Avidaan, Stefanov, Atanas K., Mascareño, Alejandro Suárez, Sordet, Michael, Teixeira, Márcio A., Udry, Stéphane, Valencia, Diana, Vallée, Philippe, Vandal, Thomas, Vaulato, Valentina, Wade, Gregg, Wardenier, Joost P., Wehbé, Bachar, Weisserman, Drew, Wevers, Ivan, Zins, Gérard

The Near-InfraRed Planet Searcher or NIRPS is a precision radial velocity spectrograph developed through collaborative efforts among laboratories in Switzerland, Canada, Brazil, France, Portugal and Spain. NIRPS extends to the 0.98-1.8 $\mu$m domain

Externí odkaz: http://arxiv.org/abs/2406.08304

Apelin modulates inflammation and leukocyte recruitment in experimental autoimmune encephalomyelitis

Autor: Hongryeol Park, Jian Song, Hyun-Woo Jeong, Max L. B. Grönloh, Bong Ihn Koh, Esther Bovay, Kee-Pyo Kim, Luisa Klotz, Patricia A. Thistlethwaite, Jaap D. van Buul, Lydia Sorokin, Ralf H. Adams

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)

Abstract Demyelination due to autoreactive T cells and inflammation in the central nervous system are principal features of multiple sclerosis (MS), a chronic and highly disabling human disease affecting brain and spinal cord. Here, we show that trea

Externí odkaz: https://doaj.org/article/73b6422aec3343758220e17b6a05df69

Adapting to change: Exploring the consequences of climate‐induced host plant shifts in two specialist Lepidoptera species

Autor: Baptiste Bovay, Patrice Descombes, Yannick Chittaro, Gaëtan Glauser, Hanna Nomoto, Sergio Rasmann

Publikováno v: Ecology and Evolution, Vol 14, Iss 6, Pp n/a-n/a (2024)

Abstract Asynchronous migration of insect herbivores and their host plants towards higher elevations following climate warming is expected to generate novel plant–insect interactions. While the disassociation of specialised interactions can challen

Externí odkaz: https://doaj.org/article/517e5c544738473abe5261f0f4aab59d

Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model

Autor: Moschini, Giulia, Houssou, Régis, Bovay, Jérôme, Robert-Nicoud, Stephan

This paper addresses the problem of unsupervised approach of credit card fraud detection in unbalanced dataset using the ARIMA model. The ARIMA model is fitted on the regular spending behaviour of the customer and is used to detect fraud if some devi

Externí odkaz: http://arxiv.org/abs/2009.07578

Adaptive Financial Fraud Detection in Imbalanced Data with Time-Varying Poisson Processes

Autor: Houssou, Régis, Bovay, Jérôme, Robert, Stephan

This paper discusses financial fraud detection in imbalanced dataset using homogeneous and non-homogeneous Poisson processes. The probability of predicting fraud on the financial transaction is derived. Applying our methodology to the financial datas

Externí odkaz: http://arxiv.org/abs/1912.04308