RECOSTAT workshops are dedicated to research on magnetic reconnection with an emphasis on using space plasma data with a statistical approach.
The topic of the 2024 edition of the RECOSTAT workshop is the location of the reconnection X line(s) at the Earth Magnetopause. The objective is to work on the problem with new transverse ideas, by gathering in the same room for a full week, international experts with diverse and complementary skills in:
- global magnetohydrodynamics modeling of the magnetosphere
- kinetic numerical modeling of the magnetic reconnection process
- magnetic reconnection theory
- in situ spacecraft observation
- statistical analysis and machine learning
Beyond sharing and fostering new ideas, the workshop also aims at sharing know-how and skills in the diverse methodologies, tools and techniques among participants, in particular for young scientists and PhD students.
Participants
- Nicolas Aunai (LPP, CNRS)
- Alexis Jeandet (LPP, CNRS)
- Bayane Michotte de Welle (LPP, Paris-Saclay)
- Ambre Ghisalberti (LPP, IPP
- Benoit Lavraud (LAB, CNRS)
- Vincent Génot (IRAP, CNAP)
- Souhail Dahani (IRAP)
- Naïs Fargette (IRAP)
- Michael Hesse (NASA)
- Sergio Toledo-Redondo (University of Murcia)
- Stephen Fuselier (SWRI)
- Karlheinz Trattner (LASP)
- Steven Petrinec (Lockheed Martin Space)
- Yi- Hsin Liu (Dartmouth College, remote)
Dates
- Arrival on Sunday March 24th 2024
- Departure on Saturday March 30th 2024
Program
As a preamble to the workshop, participants are welcome to attend the PhD defense of Bayane Michotte de Welle that will take place on Friday March 22 at Ecole Polytechnique near Paris.
The goal of the first two days is to browse the main ideas, evidences, and above all open questions from simulations, theory, observations that constrain the orientation and location of X line(s) on the magneopause.
The goal of the following days will be to split days between:
- splinter work sessions during which self-organized teams can explore/test new ideas, either in the seminar room, or in separate houses (all equipped with internet)…
- … or go for a walk in the area (see below for a pic. taken ~10min walking distance from our hamlet) to foster new ideas and informal discussions…
- debriefs sessions during which we all touch base on what is done / difficulties / results
- presentations / tutorial sessions, where participants get the opportunity to teach and learn methodological skills to/from others (reconnection theory concepts, in situ data analysis techniques and tools, what is and how to use machine learning, how to perform simulations etc.)
Location and Travel information
The workshop will take place at “Le Hameau du PHARE” (the lighthouse hamlet), in Kervilahouen, Belle-île, France.
It is a small Hamlet with 5 houses with 3 bedroom each, a house with a fully equipped seminar room and yet another with a dinner room.
How to come from Paris
The trip may be seem a bit complicated. We will organize a group departure from Paris so we all take the same trains, buses and boat.
-
1st leg: Paris - Auray
- ~3hrs TGV from Paris Montparnasse train station to Auray
- Ticket reservation : https://www.sncf-connect.com/en-en/
- Aim for arriving at Auray no later than 4pm
2nd leg: Auray - Quiberon
- ~ 40min Bus
- Aim for arriving at Quiberon no later than 5pm
- Ticket reservation: https://www.sncf-connect.com/en-en/
3rd leg: Quiberon - Le Palais
- ~1hr boat to Belle-Ile
- If you travel with the main group from Paris, reservation will be made for you.
- Ticket reservation: https://www.compagnie-oceane.fr/en/schedules-quiberon-le-palais-belle-ile/
- Boat schedules for March are not yet available but typically expect arriving at Quiberon no later than 5 pm, last boat departure may be no later than 6pm.
4th leg: Le Palais - Kervilahouen
- A bus will be there for those who travel with the main group
- Otherwise there are Taxi in Belle ile Expect a 15min ride from Le Palais to Kervilahouen. It is better to book the taxi ahead as it will be sunday. Send Nico an email for help if needed.
The seminar room

- The seminar room is equipped for ~15 people.
The Houses
There are 5 fully-equipped houses with 3 bedroom each. They are mostly the same.
Funding
We acknowledge funding from: