#turbulence — Public Fediverse posts

A look inside stars and planets: Team with #HZDR participation and led by #UCLA scientists confirms prediction about #turbulence in rapidly rotating #celestial bodies.

Image: B. Schröder/HZDR

▶️ www.hzdr.de/presse/turbulence_rotating_bodies

‘We are falling, we will die!’ Scary video from Turkish Airlines flight after 3 failed landing attempts in storm

Passengers aboard a Turkish Airlines flight from Istanbul to Tunisia were left screaming in fear after severe turbulence…
#EuropeSays #Turkiye #Türkiye #landing #pilot #plane #turbulence #Turkish #TurkishAirlines #TurkishAirlinesflight
https://www.europesays.com/turkiye/50455/

Weekly Update from the Open Journal of Astrophysics – 07/02/2026

It’s Saturday once more so time for another update of activity at the Open Journal of Astrophysics. Since the last update we have published a further six papers, bringing the number in Volume 9 (2026) to 24 and the total so far published by OJAp up to 472.

I will continue to include the posts made on our Mastodon account (on Fediscience) to encourage you to visit it. Mastodon is a really excellent service, and a more than adequate replacement for X/Twitter which nobody should be using; these announcement also show the DOI for each paper.

The first paper to report this week is “The Impact of Star Formation and Feedback Recipes on the Stellar Mass and Interstellar Medium of High-Redshift Galaxies” by Harley Katz (U. Chicago, USA), Martin P. Rey (U. Oxford, UK), Corentin Cadiou (Lund U., Sweden) Taysun Kimm (Yonsei U., Korea) and Oscar Agertz (Lund). This paper was published on Monday 2nd February 2026 in the folder Astrophysics of Galaxies. It introduces MEGATRON, a new model for galaxy formation simulations, highlighting that feedback energy controls star formation at high redshift and highlighting the importance of the interstellar medium.

The overlay is here:

You can find the officially accepted version on arXiv here and the announcement on Fediverse here:

https://fediscience.org/@OJ_Astro/116000695648050758

The second paper is “Photometric Redshifts in JWST Deep Fields: A Pixel-Based Alternative with DeepDISC” by Grant Merz (U. Illinois at Urbana-Champaign) and 6 others, all based in the USA. This paper was published on Monday February 2nd 2026 in the folder Instrumentation and Methods for Astrophysics. This paper explores the effectiveness of the DeepDISC machine learning algorithm in estimating photometric redshifts from near-infrared data, demonstrating its potential for larger image volumes and spectroscopic samples

The overlay for this one is here:

The official version of the paper can be found on arXiv here and the Fediverse announcement here:

https://fediscience.org/@OJ_Astro/116000777572439111

Next, published on Wednesday 4th February in the folder Astrophysics of Galaxies, is “Inferring Interstellar Medium Density, Temperature, and Metallicity from Turbulent H II Regions” by Larrance Xing (U. Chicago, USA), Nicholas Choustikov (U. Oxford, UK), Harley Katz (U. Chicago) and Alex J. Cameron (DAWN, Denmark). This paper argues that supersonic turbulenc affects the interpretation of H II region properties, potentially impacting inferred metallicity, ionization, and excitation from in nebular emission lines, motivating more extensive modelling.

The overlay is here:

The official version can be found on arXiv here and the Fediverse announcement is here:

https://fediscience.org/@OJ_Astro/116011384659092223

The fourth paper this week, also published on Wednesday 4th February, but in the folder Solar and Stellar Astrophysics, is “A Systematic Search for Big Dippers in ASAS-SN” by B. JoHantgen, D. M. Rowan, R. Forés-Toribio, C. S. Kochanek, & K. Z. Stanek (Ohio State University, USA), B. J. Shappee (U. Hawaii, USA), Subo Dong (Peking University), J. L. Prieto Universidad Diego Portales, Chile) and Todd A. Thompson (Ohio State). This study identifies 4 new dipper stars and 15 long-period eclipsing binary candidates using ASAS-SN light curves and multi-wavelength data, categorizing them based on their characteristics.

Here is the overlay:

The official version can be found on arXiv here and the Fediverse announcement is here:

https://fediscience.org/@OJ_Astro/116011460612040834

Fifth, and next to last this week we have “Unveiling the drivers of the Baryon Cycles with Interpretable Multi-step Machine Learning and Simulations” by Mst Shamima Khanom, Benjamin W. Keller and Javier Ignacio Saavedra Moreno (U. Memphis, USA). This paper was published on Thursday 5th February 2026 in the folder Astrophysics of Galaxies. This study uses machine learning methods to understand how galaxies lose or retain baryons, highlighting the relationship between baryon fraction and various galactic measurements.

The overlay is here:

The accepted version can be found on arXiv here, and the fediverse announcement is here:

https://fediscience.org/@OJ_Astro/116016883984380622

Finally for this week we have “The Bispectrum of Intrinsic Alignments: II. Precision Comparison Against Dark Matter Simulations” by Thomas Bakx (Utrecht U., Netherlands), Toshiki Kurita (MPA Garching, Germany), Alexander Eggemeier (U. Bonn, Germany), Nora Elisa Chisari (Utrecht) and Zvonimir Vlah (Ruđer Bošković Institute, Croatia). This paper was accepted in December, but publication got delayed by the Christmas effect so was published on February 6th 2026, in the folder Cosmology and Nongalactic Astrophysics. This study uses N-body simulations to accurately measure three-dimensional bispectra of halo intrinsic alignments and dark matter overdensities, providing a method to determine higher order shape bias parameters.

The overlay is here:

You can find the published version of the article here, and the Mastodon announcement is here:

https://fediscience.org/@OJ_Astro/116022562915557971

And that concludes this week’s update. I will do another next Saturday.

Khi máy bay gặp nhiễu động, chúng ta cảm thấy như rơi tự do vì cơ thể bị "đẩy" lên khi máy bay đột ngột hạ độ cao. Dù phi công chỉ báo nhiễu động nhẹ, rung lắc mạnh vẫn khiến hành khách hoảng sợ. Hiện tượng này xảy ra khi máy bay gặp dòng khí không khí thất thường, tạo cảm giác "rơi" trong vài khoảnh khắc ngắn.

#aviation #turbulence #flight #máybay #nhiễuđộng #hàngkhông #khoaHọc #bay #phicông #hànhkhách

https://vtcnews.vn/vi-sao-khi-may-bay-di-vao-vung-nhieu-dong-chung-ta-co-cam-giac-nhu-roi-t

“Trinity”

Inspired by the film Oppenheimer, artist Thomas Blanchard created “Trinity,” a short film imagining a nuclear explosion with macro-scale fluid motion. There’s clever video editing and compositing in this video, but no CGI. Instead, Blanchard filmed fire, sparklers, alcohol inks, pigments and more up close and in stunning detail. As always, his work is a reminder of the amazing possibilities of analog-based art. (Video and image credit: T. Blanchard)

#droplets #fluidDynamics #fluidsAsArt #marangoniEffect #physics #science #turbulence

[Des #nuages moléculaires aux #amas stellaires ...] Les amas stellaires sont issus de la #fragmentation de vastes nuages moléculaires caractérisés par différents profils de #densités et de #températures, au sein desquels se produisent des phénomènes de #turbulence, siègent des #ChampsMagnétiques, etc.

Ces différentes #propriétés des nuages moléculaires influent-elles sur la #formation des amas stellaires ? Telle est la thématique à laquelle contribue Aina Palau Puigvert, astrophysicienne à l' Universidad Nacional Autónoma de México. Elle sera l'invitée ce jeudi de l'IRAP.

Infos+ : https://www.irap.omp.eu/event/the-early-stages-of-stellar-clusters-cloud-fragmentation-and-the-formation-of-the-lowest-mass-members/

#astronomie #astrophysique #MilieuInterstellaire #FormationStellaire

Feynman called #turbulence “the most important unsolved problem of physics”
Turbulence is an example of a complex, nonlinear system emerging from simple rules but highly unpredictable,chaotic patterns
Here are #AliceAycock sculptures in Berlin about turbulence, more are in the US

#Distinction 🏆| L'académie des sciences récompense Laurent Chevillard. Il reçoit le prix Servant 2024. Félicitations!
Laurent développe des modèles de la #turbulence des #fluides, observée dans les expériences et les simulations des équations de Navier-Stokes. Bénéficiant d’un tissu collaboratif étoffé, il a construit des champs aléatoires qui rendent compte de la structure statistique fine de ces écoulements, et a proposé une dynamique stochastique simplifiée permettant de les réaliser.