Aw damn this is heartbreaking... they've pretty much always been THE band in my eyes since TOYC (around the time I was old enough to figure out how to change the tv channel to Kerrang!). At least I'm lucky enough to have a shitload of amazing memories...
Looking forward to presenting ongoing work on modelling ULF wave propagation in the ionosphere, and consequently in SuperDARN backscatter, tomorrow (in the form of a rather gorgeous poster if I do say so myself) at #AutumnMIST23 👋 Rather proud to be back 😊
There are some parallels between this and me fixing my code* re everything being a bit on fire and then sent to run again while still aflame...
*notably minus the professionalism and being able to say "efficiently done there"
#OnThisDay 1927: Sir Ken Dodd OBE was born. The English comedian, singer and actor appeared on Nationwide in 1976, welcoming Michael Barratt to his native Liverpool and teaching him a bit of Liverpudlian.
🌞You've likely seen some great #aurora pics taken across the UK last night during strong geomagnetic activity due to a now-waning geomagnetic storm 🧲Some of our fantastic students have studied how we can predict similar storms using machine learning 🖥️https://t.co/HJ50QkHSOS
With the @FIAWEC season ending this weekend, here's a shot of @kamuikobayashi bringing the #7 @TGR_WEC through Tertre Rouge at Le Mans in the 24hrs' Hyperpole in June 🏁
🥳Students at Wembley High Technology College, with Orbyts fellows @teiamih & @nawin_nga, have recently finished a study on "dark jets"; a fairly recently-discovered type of plasma outflow from the Sun's surface (Image: ESO/P.Horálek/SOHO (NASA&ESA)/SDO (NASA)) ☀️
I recommend following @Orbyts1 if you're into interesting science and/or boosting inclusivity in STEM. Lovely bunch of people, and the new twitter admin is a bit of a massive legend (I hear)...
Orbyts aims to improve inclusivity in science by partnering early-career scientists with schools to give students the chance to lead research of their own. Over the coming months, we will be highlighting the amazing work done by our students in 2023🤩
🤩In their recent Orbyts project, students from Cramlington Learning Village, with Orbyts fellows Kendra Gilmore and @NotTheDoodler, used machine learning techniques to study the importance of different solar wind characteristics for the prediction of geomagnetic storms 🌍
���This year, students at St Mary's Catholic School (Newcastle), with Orbyts fellows @shan_astro & Morgan Stores, used machine learning methods and data from @NASA Van Allen Probes to study populations of high-energy electrons in Earth's radiation belts (image credit: JHU/APL) 🛰️