#turbulence — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #turbulence, aggregated by home.social.
-
Aflutter in the Breeze
Fabrics flutter in seemingly impossible ways in artist Thomas Jackson‘s images. But despite first appearances, each photograph is true to life; the fabrics are suspended on taut lines. Their dance is driven by wind energy, drag, tension, and flow–not manipulated pixels. I love the (turbulent) energy of them! (Image credit: T. Jackson; via Colossal)
#flapping #fluidDynamics #fluidSolidInteraction #fluidsAsArt #flutter #instability #physics #science #turbulence -
Aflutter in the Breeze
Fabrics flutter in seemingly impossible ways in artist Thomas Jackson‘s images. But despite first appearances, each photograph is true to life; the fabrics are suspended on taut lines. Their dance is driven by wind energy, drag, tension, and flow–not manipulated pixels. I love the (turbulent) energy of them! (Image credit: T. Jackson; via Colossal)
#flapping #fluidDynamics #fluidSolidInteraction #fluidsAsArt #flutter #instability #physics #science #turbulence -
Aflutter in the Breeze
Fabrics flutter in seemingly impossible ways in artist Thomas Jackson‘s images. But despite first appearances, each photograph is true to life; the fabrics are suspended on taut lines. Their dance is driven by wind energy, drag, tension, and flow–not manipulated pixels. I love the (turbulent) energy of them! (Image credit: T. Jackson; via Colossal)
#flapping #fluidDynamics #fluidSolidInteraction #fluidsAsArt #flutter #instability #physics #science #turbulence -
Aflutter in the Breeze
Fabrics flutter in seemingly impossible ways in artist Thomas Jackson‘s images. But despite first appearances, each photograph is true to life; the fabrics are suspended on taut lines. Their dance is driven by wind energy, drag, tension, and flow–not manipulated pixels. I love the (turbulent) energy of them! (Image credit: T. Jackson; via Colossal)
#flapping #fluidDynamics #fluidSolidInteraction #fluidsAsArt #flutter #instability #physics #science #turbulence -
Aflutter in the Breeze
Fabrics flutter in seemingly impossible ways in artist Thomas Jackson‘s images. But despite first appearances, each photograph is true to life; the fabrics are suspended on taut lines. Their dance is driven by wind energy, drag, tension, and flow–not manipulated pixels. I love the (turbulent) energy of them! (Image credit: T. Jackson; via Colossal)
#flapping #fluidDynamics #fluidSolidInteraction #fluidsAsArt #flutter #instability #physics #science #turbulence -
Recreating Atmospheres
In planetary atmospheres, energy and vorticity can cascade from large scales to smaller ones, but the mechanics of this transfer remain somewhat elusive. In a recent experiment, researchers built a lab-scale representation of an atmosphere using a meter-scale rotating annular tank. The outer bottom edge of the tank gets heated–representing the sun’s warming at the equator–while a pipe in the center of the tank gets cooled near the tank surface, which mimics the chilling effect of the poles. Researchers filled the tank with a water-glycerol mixture and recorded how their artificial atmosphere responded at different rotation rates.
Two different rotating atmospheres, colored by vorticity (red clockwise, blue counterclockwise). The left version has a slower rate of rotation, and thus larger length scales.The results show an energy spectrum that’s consistent with atmospheric observations–with a steep drop at large length scales and a flatter one at smaller scales. But interestingly, they also found that the cascade was temperature-dependent in ways that current models don’t predict. Untangling that effect could help us understand not only our atmosphere but those of other planets. (Image credit: tank – H. Scolan, animation – S. Ding et al.; research credit: S. Ding et al.; via APS)
#atmosphericScience #energyCascade #flowVisualization #fluidDynamics #physics #planetaryScience #rotatingFlow #science #turbulence #vorticity -
Recreating Atmospheres
In planetary atmospheres, energy and vorticity can cascade from large scales to smaller ones, but the mechanics of this transfer remain somewhat elusive. In a recent experiment, researchers built a lab-scale representation of an atmosphere using a meter-scale rotating annular tank. The outer bottom edge of the tank gets heated–representing the sun’s warming at the equator–while a pipe in the center of the tank gets cooled near the tank surface, which mimics the chilling effect of the poles. Researchers filled the tank with a water-glycerol mixture and recorded how their artificial atmosphere responded at different rotation rates.
Two different rotating atmospheres, colored by vorticity (red clockwise, blue counterclockwise). The left version has a slower rate of rotation, and thus larger length scales.The results show an energy spectrum that’s consistent with atmospheric observations–with a steep drop at large length scales and a flatter one at smaller scales. But interestingly, they also found that the cascade was temperature-dependent in ways that current models don’t predict. Untangling that effect could help us understand not only our atmosphere but those of other planets. (Image credit: tank – H. Scolan, animation – S. Ding et al.; research credit: S. Ding et al.; via APS)
#atmosphericScience #energyCascade #flowVisualization #fluidDynamics #physics #planetaryScience #rotatingFlow #science #turbulence #vorticity -
Recreating Atmospheres
In planetary atmospheres, energy and vorticity can cascade from large scales to smaller ones, but the mechanics of this transfer remain somewhat elusive. In a recent experiment, researchers built a lab-scale representation of an atmosphere using a meter-scale rotating annular tank. The outer bottom edge of the tank gets heated–representing the sun’s warming at the equator–while a pipe in the center of the tank gets cooled near the tank surface, which mimics the chilling effect of the poles. Researchers filled the tank with a water-glycerol mixture and recorded how their artificial atmosphere responded at different rotation rates.
Two different rotating atmospheres, colored by vorticity (red clockwise, blue counterclockwise). The left version has a slower rate of rotation, and thus larger length scales.The results show an energy spectrum that’s consistent with atmospheric observations–with a steep drop at large length scales and a flatter one at smaller scales. But interestingly, they also found that the cascade was temperature-dependent in ways that current models don’t predict. Untangling that effect could help us understand not only our atmosphere but those of other planets. (Image credit: tank – H. Scolan, animation – S. Ding et al.; research credit: S. Ding et al.; via APS)
#atmosphericScience #energyCascade #flowVisualization #fluidDynamics #physics #planetaryScience #rotatingFlow #science #turbulence #vorticity -
Recreating Atmospheres
In planetary atmospheres, energy and vorticity can cascade from large scales to smaller ones, but the mechanics of this transfer remain somewhat elusive. In a recent experiment, researchers built a lab-scale representation of an atmosphere using a meter-scale rotating annular tank. The outer bottom edge of the tank gets heated–representing the sun’s warming at the equator–while a pipe in the center of the tank gets cooled near the tank surface, which mimics the chilling effect of the poles. Researchers filled the tank with a water-glycerol mixture and recorded how their artificial atmosphere responded at different rotation rates.
Two different rotating atmospheres, colored by vorticity (red clockwise, blue counterclockwise). The left version has a slower rate of rotation, and thus larger length scales.The results show an energy spectrum that’s consistent with atmospheric observations–with a steep drop at large length scales and a flatter one at smaller scales. But interestingly, they also found that the cascade was temperature-dependent in ways that current models don’t predict. Untangling that effect could help us understand not only our atmosphere but those of other planets. (Image credit: tank – H. Scolan, animation – S. Ding et al.; research credit: S. Ding et al.; via APS)
#atmosphericScience #energyCascade #flowVisualization #fluidDynamics #physics #planetaryScience #rotatingFlow #science #turbulence #vorticity -
Recreating Atmospheres
In planetary atmospheres, energy and vorticity can cascade from large scales to smaller ones, but the mechanics of this transfer remain somewhat elusive. In a recent experiment, researchers built a lab-scale representation of an atmosphere using a meter-scale rotating annular tank. The outer bottom edge of the tank gets heated–representing the sun’s warming at the equator–while a pipe in the center of the tank gets cooled near the tank surface, which mimics the chilling effect of the poles. Researchers filled the tank with a water-glycerol mixture and recorded how their artificial atmosphere responded at different rotation rates.
Two different rotating atmospheres, colored by vorticity (red clockwise, blue counterclockwise). The left version has a slower rate of rotation, and thus larger length scales.The results show an energy spectrum that’s consistent with atmospheric observations–with a steep drop at large length scales and a flatter one at smaller scales. But interestingly, they also found that the cascade was temperature-dependent in ways that current models don’t predict. Untangling that effect could help us understand not only our atmosphere but those of other planets. (Image credit: tank – H. Scolan, animation – S. Ding et al.; research credit: S. Ding et al.; via APS)
#atmosphericScience #energyCascade #flowVisualization #fluidDynamics #physics #planetaryScience #rotatingFlow #science #turbulence #vorticity -
“Sidewall Symphony”
Flow visualization is both an art and science in fluid dynamics. Here, researchers were interested in studying the separation bubble that forms over a backward-facing ramp–a shape that shows up, for example, on an aircraft. In these areas, the flow over the surface separates, leaving an unsteady, recirculating bubble.
That’s the flow that researchers are visualizing here. They’ve done so by adding tiny helium-filled soap bubbles to the flow. With bright lights illuminating the bubbles, each one leaves a streak in a photograph, showing where the bubble moved during the time the camera’s shutter was open. Although images like these are beautiful, they can also be analyzed by computers to extract the underlying flow that created the image. (Image and research credit: B. Steinfurth et al.; see also here)
#2025gofm #flowVisualization #fluidDynamics #fluidsAsArt #physics #science #turbulence -
Movie TV Tech Geeks #MovieNews #RayLiotta #Turbulence #Action 'Die Hard' Meets 'Air Force One' in the 1997 Action Thriller Dominating Streaming http://dlvr.it/TS04Sb
-
A new perspective on pipe flow instability: not small perturbations, but energy thresholds for vortex formation may trigger turbulence in Hagen–Poiseuille flow.
#FluidDynamics #FlowInstability #Turbulence #BoundaryLayer #Physics
-
A new perspective on pipe flow instability: not small perturbations, but energy thresholds for vortex formation may trigger turbulence in Hagen–Poiseuille flow.
#FluidDynamics #FlowInstability #Turbulence #BoundaryLayer #Physics
-
A new perspective on pipe flow instability: not small perturbations, but energy thresholds for vortex formation may trigger turbulence in Hagen–Poiseuille flow.
#FluidDynamics #FlowInstability #Turbulence #BoundaryLayer #Physics
-
A new perspective on pipe flow instability: not small perturbations, but energy thresholds for vortex formation may trigger turbulence in Hagen–Poiseuille flow.
#FluidDynamics #FlowInstability #Turbulence #BoundaryLayer #Physics
-
A new perspective on pipe flow instability: not small perturbations, but energy thresholds for vortex formation may trigger turbulence in Hagen–Poiseuille flow.
#FluidDynamics #FlowInstability #Turbulence #BoundaryLayer #Physics
-
Turbulence and Bioluminescence
If you’ve ever seen crashing waves glowing blue, you’ve been treated to bioluminescence. Although many creatures can bioluminesce, tiny dinoflagellates–a type of marine phytoplankton–are one of the easiest to spot. These microscopic organisms create a flash of light in response to viscous stresses. Their response to flow-induced stresses is so robust that they can be used to visualize stress fields.
In a new study, researchers explored how turbulence affects the dinoflagellate’s luminescence. They mathematically modeled the dinoflagellate as an elastic dumbbell that emitted light based on its extent and rate of deformation. Then they explored how this model dinoflagellate behaved in different types of turbulent flows. They found that the fluctuations and intermittency of turbulent flows both encouraged the radiant displays. (Image credit: T. McKinnon; research credit: P. Kumar and J. Picardo)
#biology #bioluminescence #flowVisualization #fluidDynamics #physics #phytoplankton #science #turbulence -
Turbulence and Bioluminescence
If you’ve ever seen crashing waves glowing blue, you’ve been treated to bioluminescence. Although many creatures can bioluminesce, tiny dinoflagellates–a type of marine phytoplankton–are one of the easiest to spot. These microscopic organisms create a flash of light in response to viscous stresses. Their response to flow-induced stresses is so robust that they can be used to visualize stress fields.
In a new study, researchers explored how turbulence affects the dinoflagellate’s luminescence. They mathematically modeled the dinoflagellate as an elastic dumbbell that emitted light based on its extent and rate of deformation. Then they explored how this model dinoflagellate behaved in different types of turbulent flows. They found that the fluctuations and intermittency of turbulent flows both encouraged the radiant displays. (Image credit: T. McKinnon; research credit: P. Kumar and J. Picardo)
#biology #bioluminescence #flowVisualization #fluidDynamics #physics #phytoplankton #science #turbulence -
Turbulence and Bioluminescence
If you’ve ever seen crashing waves glowing blue, you’ve been treated to bioluminescence. Although many creatures can bioluminesce, tiny dinoflagellates–a type of marine phytoplankton–are one of the easiest to spot. These microscopic organisms create a flash of light in response to viscous stresses. Their response to flow-induced stresses is so robust that they can be used to visualize stress fields.
In a new study, researchers explored how turbulence affects the dinoflagellate’s luminescence. They mathematically modeled the dinoflagellate as an elastic dumbbell that emitted light based on its extent and rate of deformation. Then they explored how this model dinoflagellate behaved in different types of turbulent flows. They found that the fluctuations and intermittency of turbulent flows both encouraged the radiant displays. (Image credit: T. McKinnon; research credit: P. Kumar and J. Picardo)
#biology #bioluminescence #flowVisualization #fluidDynamics #physics #phytoplankton #science #turbulence -
Turbulence and Bioluminescence
If you’ve ever seen crashing waves glowing blue, you’ve been treated to bioluminescence. Although many creatures can bioluminesce, tiny dinoflagellates–a type of marine phytoplankton–are one of the easiest to spot. These microscopic organisms create a flash of light in response to viscous stresses. Their response to flow-induced stresses is so robust that they can be used to visualize stress fields.
In a new study, researchers explored how turbulence affects the dinoflagellate’s luminescence. They mathematically modeled the dinoflagellate as an elastic dumbbell that emitted light based on its extent and rate of deformation. Then they explored how this model dinoflagellate behaved in different types of turbulent flows. They found that the fluctuations and intermittency of turbulent flows both encouraged the radiant displays. (Image credit: T. McKinnon; research credit: P. Kumar and J. Picardo)
#biology #bioluminescence #flowVisualization #fluidDynamics #physics #phytoplankton #science #turbulence -
Turbulence and Bioluminescence
If you’ve ever seen crashing waves glowing blue, you’ve been treated to bioluminescence. Although many creatures can bioluminesce, tiny dinoflagellates–a type of marine phytoplankton–are one of the easiest to spot. These microscopic organisms create a flash of light in response to viscous stresses. Their response to flow-induced stresses is so robust that they can be used to visualize stress fields.
In a new study, researchers explored how turbulence affects the dinoflagellate’s luminescence. They mathematically modeled the dinoflagellate as an elastic dumbbell that emitted light based on its extent and rate of deformation. Then they explored how this model dinoflagellate behaved in different types of turbulent flows. They found that the fluctuations and intermittency of turbulent flows both encouraged the radiant displays. (Image credit: T. McKinnon; research credit: P. Kumar and J. Picardo)
#biology #bioluminescence #flowVisualization #fluidDynamics #physics #phytoplankton #science #turbulence -
“The Haboob”
Haboobs are a dust storm driven by the strong winds at the forefront of weather fronts and thunderstorms. Those powerful winds pick up dust in arid and semi-arid landscapes, creating billowing, turbulent clouds that appear downright apocalyptic.
This particular haboob formed in Arizona in August 2025 and was caught in timelapse by photographer and storm chaser Mike Olbinski. The visuals–as always–are incredible. Definitely watch to the very end, as the haboob advances on the runway at Sky Harbor Airport. The tension is palpable as you watch flights line up and try to make it off the ground before the haboob swallows them. (Video and image credit: M. Olbinski)
#fluidDynamics #fluidsAsArt #haboob #meteorology #physics #science #timelapse #turbulence -
BOJ seen waiting till April for rate hike amid Iran war turbulence
Bank of Japan High oil prices may hit Japan’s economy, spur inflation as bank tries to normalize policy…
#NewsBeep #News #Economy #april #AU #Australia #BOJ #Business #hike #Iran #rate #seen #turbulence #waiting #war
https://www.newsbeep.com/au/540281/ -
Improving Turbulence Models
Calculating turbulent flows like those found in the ocean and atmosphere is extremely expensive computationally. That’s why forecasting models use techniques like Large Eddy Simulation (LES), where large physical scales are calculated according to the governing physical equations while smaller scales are approximated with mathematical models. Researchers are always looking for ways to improve these models–making them more physically accurate, easier to compute, and more computationally stable.
In a new study, researchers used an equation-discovery tool to find new improvements to these models for the smaller turbulent scales. They started by doing a full, computationally expensive calculation of the turbulent flow. The equation-discovery tool then analyzed these results, looking to match them to a library of over 900 possible equations. When it found a form that fit the data, the researchers were then able to show analytically how to derive that equation from the underlying physics. The result is a new equation that models these smaller scales in a way that’s physically accurate and computationally stable, offering possibilities for better LES. (Image credit: CasSa Paintings; research credit: K. Jakhar et al.; via APS)
#CFD #computationalFluidDynamics #fluidDynamics #geophysics #largeEddySimulation #machineLearning #mathematics #numericalSimulation #physics #science #turbulence -
Transport and settling of suspended particles in a simulated estuary: particle-laden freshwater enters a basin filled with seawater. The white iso-surface indicates 50% of the original particle density. Kelvin-Helmholtz instabilities evolve in the shear flow and drive the turbulent mixing. Rayleigh–Taylor instabilities can be observed in the initial settling phase. Based on Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Transport and settling of suspended particles in a simulated estuary: particle-laden freshwater enters a basin filled with seawater. The white iso-surface indicates 50% of the original particle density. Kelvin-Helmholtz instabilities evolve in the shear flow and drive the turbulent mixing. Rayleigh–Taylor instabilities can be observed in the initial settling phase. Based on Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Transport and settling of suspended particles in a simulated estuary: particle-laden freshwater enters a basin filled with seawater. The white iso-surface indicates 50% of the original particle density. Kelvin-Helmholtz instabilities evolve in the shear flow and drive the turbulent mixing. Rayleigh–Taylor instabilities can be observed in the initial settling phase. Based on Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Transport and settling of suspended particles in a simulated estuary: particle-laden freshwater enters a basin filled with seawater. The white iso-surface indicates 50% of the original particle density. Kelvin-Helmholtz instabilities evolve in the shear flow and drive the turbulent mixing. Rayleigh–Taylor instabilities can be observed in the initial settling phase. Based on Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Transport and settling of suspended particles in a simulated estuary: particle-laden freshwater enters a basin filled with seawater. The white iso-surface indicates 50% of the original particle density. Kelvin-Helmholtz instabilities evolve in the shear flow and drive the turbulent mixing. Rayleigh–Taylor instabilities can be observed in the initial settling phase. Based on Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Another one from the archive: turbulent mixing of sediment-laden freshwater and seawater (black). The white iso-surface indicates a 50/50 mix. The freshwater enters the basin at the bottom left. Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Another one from the archive: turbulent mixing of sediment-laden freshwater and seawater (black). The white iso-surface indicates a 50/50 mix. The freshwater enters the basin at the bottom left. Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Another one from the archive: turbulent mixing of sediment-laden freshwater and seawater (black). The white iso-surface indicates a 50/50 mix. The freshwater enters the basin at the bottom left. Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
Another one from the archive: turbulent mixing of sediment-laden freshwater and seawater (black). The white iso-surface indicates a 50/50 mix. The freshwater enters the basin at the bottom left. Direct #Numerical #Simulation.
#sedimentation #estuary #fluiddynamics #turbulence #CFD #computationalfluiddynamics
-
“In the wind of the mind arises the turbulence called I. It breaks; down shower the barren thoughts. All life is choked. This desert is the Abyss wherein the Universe.” https://library.hrmtc.com/2026/02/19/in-the-wind-of-the-mind-arises-the-turbulence-called-i-it-breaks-down-shower-the-barren-thoughts-all-life-is-choked-this-desert-is-the-abyss-wherein-the-universe/ #abyss #aleisterCrowley #all #arises #barren #book #book333 #breaks #choked #desert #down #I #liberCCCXXXIII #life #mind #quote #shower #TheBookOfLies #thoughts #turbulence #universe #wind -
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 -
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 -
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 -
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 -
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 -
A Supernova in Motion
In 1604, astronomers first caught sight of Kepler’s Supernova Remnant, a massive explosion some 17,000 light-years away. Twenty-five years of observations from the Chandra X-ray Observatory went into making this timelapse, which shows the supernova remnant‘s material pushing into the surrounding gas and dust.
In its fastest regions, the supernova remnant is moving around 2% of the speed of light–some 22 million kilometers per hour. Slower parts of the remnant are moving at just 0.5% of light-speed. (Image credit: NASA/CXC/SAO/Pan-STARRS; via Gizmodo)
#astrophysics #compressibleFlow #flowVisualization #fluidDynamics #physics #science #shockwave #supernova #turbulence -
Jupiter in a Lab
The vivid bands of a gas giant like Jupiter come from the planet’s combination of rotation and convection. It’s possible to create the same effect in a lab by rapidly spinning a tank of water around a central ice core. That’s the physical set-up behind this research poster–note the illustration in the lower right corner. The central snapshots show how temperature gradients on the water surface change the faster the tank rotates. At higher rotational speeds, the parabolic water surface gets ever steeper and Jupiter-like temperature bands form. (Image credit: C. David et al.)
#2025gofm #atmosphericScience #convection #flowVisualization #fluidDynamics #Jupiter #physics #planetaryScience #rotatingFlow #science #turbulence -
Radiant Waves
Photographer Kevin Krautgartner captures the powerful waves of Western Australia from above. His latest series, Waves | Ocean Forces, features luminous turquoise waves, crystalline foam, and brilliant beaches. I could delight in staring at them for hours. Fortunately, he sells prints on his website! (Image credit: K. Krautgartner; via Colossal)
#fluidDynamics #fluidsAsArt #oceanWaves #physics #science #turbulence -
Radiant Waves
Photographer Kevin Krautgartner captures the powerful waves of Western Australia from above. His latest series, Waves | Ocean Forces, features luminous turquoise waves, crystalline foam, and brilliant beaches. I could delight in staring at them for hours. Fortunately, he sells prints on his website! (Image credit: K. Krautgartner; via Colossal)
#fluidDynamics #fluidsAsArt #oceanWaves #physics #science #turbulence -
Radiant Waves
Photographer Kevin Krautgartner captures the powerful waves of Western Australia from above. His latest series, Waves | Ocean Forces, features luminous turquoise waves, crystalline foam, and brilliant beaches. I could delight in staring at them for hours. Fortunately, he sells prints on his website! (Image credit: K. Krautgartner; via Colossal)
#fluidDynamics #fluidsAsArt #oceanWaves #physics #science #turbulence -
Radiant Waves
Photographer Kevin Krautgartner captures the powerful waves of Western Australia from above. His latest series, Waves | Ocean Forces, features luminous turquoise waves, crystalline foam, and brilliant beaches. I could delight in staring at them for hours. Fortunately, he sells prints on his website! (Image credit: K. Krautgartner; via Colossal)
#fluidDynamics #fluidsAsArt #oceanWaves #physics #science #turbulence
