MIST

Magnetosphere, Ionosphere and Solar-Terrestrial

Latest news

2026 MIST Council Election Results

It is our pleasure to announce the results of the latest MIST Council Election.

  • Samuel Wharton (University of Leicester) is elected for a 3 year term as a MIST Councillor
  • Jewel Abbey Relampagos (Lancaster University) is elected for a 1 year term as the MIST Student Representative

In addition, due to concerns from the community regarding the ongoing UKRI/STFC funding situation, MIST Council have also decided to charter Mark Lester (University of Leicester) as an additional councillor to inform and steer the council in matters related to this specific brief, as set out in Article 4.5 of the MIST Charter.

We would like to congratulate everyone on their new roles. The full composition of Council can be found on the MIST website (https://www.mist.ac.uk/community/mist-council). We would like to thank all the candidates for putting themselves forward and everyone who took part in the voting. We received votes from 132 people which represents a turnout of 21.5% of people registered to receive the MIST emailing list.

Finally, MIST Council would like to extend their thanks and gratitude to our outgoing members: Fiona Ball and Georgios Nicolaou. We would also like to say a special thank you to Andy Smith who was co-opted to be on MIST council while Rosie Johnson was on maternity leave, thank you for all of your hard work.

Open Letter Ready For Signatories

Protect MIST Science! Sign the MIST Community Open Letter on the STFC funding cuts!

https://sites.google.com/view/uk-mist-community-open-letter

 

Statement from MIST Council regarding the STFC Funding Situation

Statement from MIST Council regarding the STFC Funding Situation

MIST Council is deeply concerned by the ongoing STFC funding uncertainty and its impact on our community and beyond.

The current combination of prospective delayed and reduced funding, together with already volatile financial situations at universities across the UK, is placing significant strain on research groups. In some cases, institutions may be unable to support researchers through gaps between projects, increasing precarity across the community and adding significant pressure on early-career researchers.

We are concerned that continued uncertainty risks accelerating a brain drain from the UK, as skilled researchers reconsider their future in a system offering limited stability. The loss of expertise at any career stage would have lasting consequences for UK space science.

 

What is going on?

For those that are unaware of the situation, it is complex and evolving. We suggest the following sources to get up to speed on the current developments.

https://www.sciencecampaign.org.uk/analysis-and-publications/detail/what-is-happening-with-ukri-funding-and-the-stfc-cuts/

https://ras.ac.uk/news-and-press/news/proposed-budget-cuts-catastrophe-uk-astronomy

https://www.newscientist.com/article/2514481-physicists-warn-of-catastrophic-impact-from-uk-science-cuts/

 

What are we doing about it?

Behind the scenes, MIST Council is actively engaging with relevant parties to understand the scale of the challenge and to identify constructive ways forward.

  • We are seeking seasoned members of the community to join MIST Council on a task force to help develop options and represent the needs of our community. If you would like to be involved, please reach out to us via the MIST Council email (This email address is being protected from spambots. You need JavaScript enabled to view it.) by the end of this week (13th February 2026).
  • In addition to the task force, we want to provide an open forum for discussion and collective input among all members of the wider MIST community. We are exploring options and will be in touch as soon as possible with further details.
  • We believe in working together in the face of the current challenges and we are collaborating with UKSP and others to strive for a fair and positive outcome for all. We are reaching out to members of the SSAP (Solar System Advisory Panel) to explore the hosting of a community town hall meeting, like the one already being organised by the AAP (Astronomy Advisory Panel), to provide an open forum for discussion and collective input.

 

What can you do to help?

There are several open letters representing people in various career stages that have been made available to sign. We encourage you to read the relevant letter(s) and to sign them if you support them:

The Royal Astronomical Society are also urging Fellows to lobby their MPs against the cuts, and have included a template letter that can be used to do so:
https://ras.ac.uk/news-and-press/news/ras-fellows-urged-lobby-against-unprecedented-cuts

 

MIST Council will continue to advocate for transparency, stability, and funding structures that recognise both the long-term nature of our science and the people who deliver it.
We thank you for your continued support in this period of uncertainty.

 

Please contact This email address is being protected from spambots. You need JavaScript enabled to view it. if you have further suggestions.
MIST Council

Announcement of New MIST Council 2025

We are very pleased to announce the following members of the community have been elected to MIST Council:

  • Gemma Bower (University of Leicester), MIST Councillor
  • Tom Elsden (University of St Andrews), MIST Councillor
  • Cameron Patterson (Lancaster University), MIST Councillor
  • Fiona Ball (University of Southampton), Student Representative

They will begin their terms in July 2025.

We thank outgoing MIST Council members: Maria Walach, Chiara Lazzeri and Emma Woodfield. Andy Smith will remain on council a little longer as a co-opted member to cover Rosie Johnson's maternity leave.

The current composition of Council can be found on our website (https://www.mist.ac.uk/community/mist-council).

Announcement of New MIST Councillors.

We are very pleased to announce the following members of the community have been elected unopposed to MIST Council:

  • Rosie Johnson (Aberystwyth University), MIST Councillor
  • Matthew Brown (University of Birmingham), MIST Councillor
  • Chiara Lazzeri (MSSL, UCL), Student Representative

Rosie, Matthew, and Chiara will begin their terms in July. This will coincide with Jasmine Kaur Sandhu, Beatriz Sanchez-Cano, and Sophie Maguire outgoing as Councillors.

The current composition of Council can be found on our website, and this will be amended in July to reflect this announcement (https://www.mist.ac.uk/community/mist-council).

The Harmonic Frequency Separation of Ionospheric Alfvén Resonances at Eskdalemuir

Rosie Hodnett (University of Leicester)

Ionospheric Alfvén resonances (IAR) occur when Alfvén waves are partially reflected at boundaries in the ionosphere where there are large changes in plasma mass density. These boundaries are the bottom of the ionosphere and above the F-Region peak. This sets up a resonance (Belyaev et al., 1990).

IAR have been observed in the induction coil magnetometer data at Eskdalemuir Geophysical Observatory, which is a British Geological Survey site (Beggan & Musur, 2018).

We have modelled the harmonic frequency separation (Δf) of the IAR, by modelling the Alfvén velocity and calculating the time taken for the wave to travel up and down the IAR cavity. We used the International Reference Ionosphere to model the plasma mass density and the International Geomagnetic Reference Field to model the magnetic field strength.

To find the average Δf from the data, we used machine learning to identify the IAR harmonics in spectrograms, and then automatically extracted the frequencies. We used a u-net (Ronneberger et al., 2015) which was developed by Marangio et al. (2020) to detect the IAR.

Figure a) shows the spectrogram for 05/03/2013 – 06/03/2013. The IAR harmonics are visible as bright fringes. The red line lowest in frequency is the average Δf extracted from the data, with subsequent red lines being 2 x Δf, 3 x Δf and 4 x Δf. These are plotted so we can see the Δf following the trends of the harmonics. The lowest white line is the modelled Δf, with higher white lines being higher orders. Generally, the model agrees fairly well with the data. Here, both the data and the model show Δf increasing from dusk to midnight. The data diverges from the model later on, indicating that the model does not accurately capture the ionosphere at this time.

Figure (b) shows the modelled Δf in green, Δf from the data in red and the absolute difference between them in blue, for March 2013. Overall, the data and the model agree well. On 21/03/2013, there is a greater difference between the model and data than other days. Examples like this will be investigated further.

We are now performing further analysis of the 9 year dataset, including a comparison of the data and model to foF2, sunspot number, Sym-H and Kp.

Figure showing two panels. The first panel shows a black and white spectrogram with horizontal features highlighted (IAR harmonics) and the second panel shows the IAR Harmonic frequency separation at Eskdalemuir for March 2013.
Figure a) Spectrogram of data from noon to noon on 05/03/2013 – 06/03/2013. IAR harmonics are visible as bright horizontal fringes, from around 19:00 – 02:00. The red line shows Δf extracted from the data and the white line shows the modelled Δf. b) Model Δf (green), data Δf (red) and absolute difference between model and data plotted for March 2013.

References:

Beggan, C. D., & Musur, M. (2018). Observation of Ionospheric Alfvén Resonances at 1-30 Hz and their Superposition with the Schumann Resonances. Journal of Geophysical Research: Space Physics, 123 (5), 4202–4214. doi: 10.1029/2018ja025264

Belyaev, P., Polyakov, S., Rapoport, V., & Trakhtengerts, V. (1990). The Ionospheric Alfvén Resonator. Journal of Atmospheric and Terrestrial Physics, 52 (9), 781–788. doi: 10.1016/0021-9169(90)90010-k

Marangio, P., Christodoulou, V., Filgueira, R., Rogers, H. F., & Beggan, C. D. (2020). Automatic Detection of Ionospheric Alfvén Resonances in Magnetic Spectrograms using U-Net. Computers amp; Geosciences, 145 , 104598. doi:10.1016/j.cageo.2020.104598

Ronneberger, O., Fischer, P., & Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. Lecture Notes in Computer Science, 234–241. doi:10.1007/978-3-319-24574-4 287

Acknowledgements:

BGS: www.geomag.bgs.ac.uk/operations/eskdale.html

IRI: www.irimodel.org

IGRF: https://www.ngdc.noaa.gov/IAGA/vmod/igrf.html