Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Richard Marchand"'
Autor:
Marie-Pierre Dubé, Audrey Lemaçon, Amina Barhdadi, Louis-Philippe Lemieux Perreault, Essaïd Oussaïd, Géraldine Asselin, Sylvie Provost, Maxine Sun, Johanna Sandoval, Marc-André Legault, Ian Mongrain, Anick Dubois, Diane Valois, Emma Dedelis, Jennifer Lousky, Julie Choi, Elisabeth Goulet, Christiane Savard, Lea-Mei Chicoine, Mariève Cossette, Malorie Chabot-Blanchet, Marie-Claude Guertin, Simon de Denus, Nadia Bouabdallaoui, Richard Marchand, Zohar Bassevitch, Anna Nozza, Daniel Gaudet, Philippe L. L’Allier, Julie Hussin, Guy Boivin, David Busseuil, Jean-Claude Tardif
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract We conducted a genome-wide association study of time to remission of COVID-19 symptoms in 1723 outpatients with at least one risk factor for disease severity from the COLCORONA clinical trial. We found a significant association at 5p13.3 (rs
Externí odkaz:
https://doaj.org/article/22ad144ba1304827b38809d5ea8a9606
Publikováno v:
Earth and Space Science, Vol 8, Iss 3, Pp n/a-n/a (2021)
Abstract A novel approach is presented to infer plasma parameters from Langmuir probe measurements. Three‐dimensional kinetic simulations capable of accounting for multiple physical processes and realistic measurement conditions, are used to constr
Externí odkaz:
https://doaj.org/article/f4689c295e814e27bc713511ccdaedee
Autor:
Jonathan Chalaturnyk, Richard Marchand
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
A new approach is presented for interpreting low level Langmuir probe measurements in terms of physical plasma parameters such as density or temperature. Instead of relying on analytic expressions as in most analyses, the method uses regressions comb
Externí odkaz:
https://doaj.org/article/d09cfcb7ac2f4a7e9ab71c23d3c27dd2
Autor:
Richard Marchand, Gian Luca Delzanno
Publikováno v:
Frontiers in Astronomy and Space Sciences, Vol 5 (2018)
Energetic electron beams have been proposed for tracing magnetic field lines from the magnetosphere down to the ionosphere, in active experiments aimed at diagnosing mechanisms at play in the coupling between magnetosphere and ionosphere. It is recog
Externí odkaz:
https://doaj.org/article/02f4029b4b984cf9ba5e953bfc80878c
Autor:
Sigvald Marholm, Richard Marchand
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023016 (2020)
Kinetic simulations are used to compute current characteristics of finite-length cylindrical probes, with particular attention to end effects. Currents collected per unit lengths, as a function of distance to the ends, are calculated and fitted to em
Externí odkaz:
https://doaj.org/article/1478851e733c48179e57cd546d11548e
Autor:
Denis Martin, Patricia McNicol, Richard Marchand, Pierre Lebel, Mark S Peppler, Bernard R Brodeur
Publikováno v:
Canadian Journal of Infectious Diseases, Vol 6, Iss 1, Pp 16-18 (1995)
Externí odkaz:
https://doaj.org/article/c192e7de73714c56836c21c15935d954
Autor:
Richard Marchand, Akinola Olowookere
Publikováno v:
IEEE Transactions on Plasma Science. 50:3774-3786
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a06f3ca5bed86cf3c6c253e8173fcd
https://doi.org/10.1109/tps.2022.3205868
https://doi.org/10.1109/tps.2022.3205868
Autor:
Chris Watson, P. T. Jayachandran, Anton Kashcheyev, David R. Themens, Richard B. Langley, Richard Marchand, Andrew Yau
The lunar ionosphere is a ~100 km thick layer of electrically charged plasma surrounding the moon. Despite knowledge of its existence for decades, the structure and dynamics of the lunar plasma remain a mystery due to lack of consistent observational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2c93817ffe29f41fe79ce69beea83ba
https://doi.org/10.5194/egusphere-egu23-10755
https://doi.org/10.5194/egusphere-egu23-10755
In this work, we show the first achievement of inferring the electron temperature in ionospheric conditions from synthetic data using fixed-bias Langmuir probes operating in the electron saturation region. This was done using machine learning, as wel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e21523cb646f713a9dc79517035f204
https://doi.org/10.5194/egusphere-egu23-542
https://doi.org/10.5194/egusphere-egu23-542
Publikováno v:
Journal of Plasma Physics. 89
Machine learning techniques are used to construct models capable of inferring plasma state variables from non-emissive (LP) and emissive (EP) cylindrical Langmuir probes under conditions in which standard analytic theories are not applicable. Synthet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25d60d7ee321d9388dbc275fdbe16148
https://doi.org/10.1017/s0022377823000041
https://doi.org/10.1017/s0022377823000041