#turbulence — Public Fediverse posts on home.social

In the Dark @[email protected] · 2026-02-07 · 12:11 UTC

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.

#arXiv241107282v2 #arXiv250409744v3 #arXiv250706818v3 #arXiv250719594v2 #arXiv251027032v2 #arXiv260202949v1 #ASASSN #AstridSimulations #AstrophysicsOfGalaxies #bispectrum #CosmologyAndNonGalacticAstrophysics #DEEPDisc #DiamondOpenAccess #DiamondOpenAccessPublishing #dipperStars #galaxyClusters #galaxyFormation #galaxyHaloes #HighEnergyAstrophysicalPhenomena #HIIRegions #InstrumentationAndMethodsForAstrophysics #InterstellarMedium #intrinsicAlignments #JWST #largeScaleStructureOfTheUniverse #MachineLearning #MEGATRON #NebularEmission #OpenAccess #OpenAccessPublishing #OpenJournalOfAstrophysics #PhotometricRedshifts #SolarAndStellarAstrophysics #starFormation #TheOpenJournalOfAstrophysics #Turbulence

#arxiv241107282v2 #arxiv250409744v3 #arxiv250706818v3 #arxiv250719594v2 #arxiv251027032v2 #arxiv260202949v1

🛩AG Umweltphysik Uni Tübingen @umphy@bawü.social · 2025-07-31 · 13:41 UTC

We have a new toy: a dji Dock 3 with Matrice 4D #multicopter! 🥳

With this and our PARASITE payload on top, we can automate our atmospheric profiling flights and do *even more* #turbulence measurements for #windEnergy, #mountainWeather and improving #weatherForecast parametrisations 🌦️ 💪

#drone

#multicopter #turbulence #windenergy #mountainweather #weatherforecast #drone

🛩AG Umweltphysik Uni Tübingen @umphy@bawü.social · 2025-07-14 · 08:35 UTC

#CopterPortrait Meet Flik¹, the #multicopter we developed our first #PARASITE payload for. It's a commercial dji Mavic 3E drone typically used for photography. Here, Flik is measuring for the #TeamX campaign in #Austria, which will eventually improve #mountainWeather forecasts.

🌡️ Our PARASITE system (running ❄️ #NixOS) has several ventilated meteorological sensors on board for temperature and relative humidity.

💨 From all the data we get from copter and sensors we derive a fast 3D wind measurement. So yes: We can now measure #turbulence with a copter, without the need for an actual anemometer: The copter is our anemometer!

✅ Comparisons in #Falkenberg with a @DeutscherWetterdienst tower shows that the data quality is comparable to ultrasonic anemometers - the current gold standard of operational turbulence measurements.

¹ yes, from #Pixar's #BugsLife 🐜 😉

#meteorology #boundaryLayer

#copterportrait #multicopter #parasite #nixos #turbulence #falkenberg

🛩AG Umweltphysik Uni Tübingen @umphy@bawü.social · 2025-06-13 · 16:47 UTC

Our fleet of #multicopters is growing as we prepare for our part in the #TeamX¹ campaign in 🇦🇹 #Austria next month.

We'll provide valuable in-situ #temperature, #humidity, #wind and #turbulence measurements with our custom meteorological PARASITE system on multiple copters in parallel across the Inn valley. This data will help with understanding wind shear in mountainous regions and eventually improve
#mountainWeather forecasts.

Our PARASITEs carry several atmospheric sensors and we derive the turbulent 3D wind vector from the copter movements. @nobodyinperson suggested to name them like #BugsLife characters 🐛😉. He put a nicely customized ❄️ #NixOS in there to stay in control of the software, integrate it all and sync data e.g. to a #forgejoAneksajo instance (#forgejo with #gitAnnex support), our own or the one of @fzj_rdm during the VITAL campaign last year.

#Austria #Österreich #Inntal #Innsbruck #meteorology

¹https://www.teamx-programme.org/observational-campaign/

#multicopter #teamx #austria #temperature #humidity #wind

Nicole Sharp @[email protected] · 2025-05-15 · 15:00 UTC

Mapping the Mozambique Channel

The Mozambique Channel boasts some of the world’s most turbulent waters, driven by eddies hundreds of kilometers wide. Eddies of this size — known as mesoscale — determine regional flows that influence local biodiversity, sediment mixing, and how plastic pollution moves. To better understand the region, scientists measured a mesoscale dipole from a research vessel.

Illustration of flows in the Mozambique Channel. The anticyclonic ring in dark blue rotates counterclockwise and consists of largely uniform water (labeled Ring: R1). To the south, in green, a cyclonic eddy rotates in a clockwise sense (labeled Cyclone: C1). This area is chlorophyll-rich and has varying salinity levels. Between the two is a filament of chlorophyll-rich water being drawn from the near-shore region (labeled Filament: F1).

The dipole consisted of a large anticyclonic ring (shown in dark blue) that rotated counterclockwise and a smaller cyclonic eddy (shown in green) that rotated clockwise. Between these eddies lay a central jet moving up to 130 centimeters per second that drew material out from the shoreline. In the anticyclonic ring, researchers found largely uniform waters with little chlorophyll. The cyclonic eddy, in contrast, was high in chlorophyll and had large variations in salinity. Those smaller-scale variations, they found, helped to drive vertical motions of up to 40 meters per day.

In situ measurements like these help scientists understand how energy flows through different scales in the ocean and how that energy helps transport nutrients, sediment, and pollution regionally. Such measurements also help us to refine ocean models that enable us to predict this transport and how regions will change as climate patterns shift. (Image credit: ship – A. Lamielle/Wikimedia Commons, eddies – P. Penven et al.; research credit: P. Penven et al.; via Eos)

#dipole #flowVisualization #fluidDynamics #mesoscale #oceanography #physics #science #turbulence

#dipole #flowvisualization #fluiddynamics #mesoscale #oceanography #physics

Nicole Sharp @[email protected] · 2025-04-01 · 15:00 UTC

Simulating a Sneeze

Sneezing and coughing can spread pathogens both through large droplets and through tiny, airborne aerosols. Understanding how the nasal cavity shapes the aerosol cloud a sneeze produces is critical to understanding and predicting how viruses could spread. Toward that end, researchers built a “sneeze simulator” based on the upper respiratory system’s geometry. With their simulator, the team mimicked violent exhalations both with the nostrils open and closed — to see how that changed the shape of the aerosol cloud produced.

The researchers found that closed nostrils produced a cloud that moved away along a 18 degree downward tilt, whereas an open-nostril cloud followed a 30-degree downward slope. That means having the nostrils open reduces the horizontal spread of a cloud while increasing its vertical spread. Depending on the background flow that will affect which parts of a cloud get spread to people nearby. (Image and research credit: N. Catalán et al.; via Physics World)

#aerosols #biology #coughing #COVID19 #diseaseTransmission #droplets #flowVisualization #fluidDynamics #physics #science #sneezing #turbulence