#statisticalmechanics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #statisticalmechanics, aggregated by home.social.
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Why 137? A hydrogen atom spans 137 Compton wavelengths -- one electron orbit contains 18,800 Compton "ticks." Are these brute facts or signatures of a cosmic Central Limit Theorem converting quantum noise into classical atoms? The cosmological constant is an even stronger candidate: 10^122 horizon pixels produce the observed dark energy. Honest about gaps. https://doi.org/10.5281/zenodo.20182909
#Physics #Math #QuantumMechanics #FineStructureConstant #StatisticalMechanics #Science #Research
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Why 137? A hydrogen atom spans 137 Compton wavelengths -- one electron orbit contains 18,800 Compton "ticks." Are these brute facts or signatures of a cosmic Central Limit Theorem converting quantum noise into classical atoms? The cosmological constant is an even stronger candidate: 10^122 horizon pixels produce the observed dark energy. Honest about gaps. https://doi.org/10.5281/zenodo.20182909
#Physics #Math #QuantumMechanics #FineStructureConstant #StatisticalMechanics #Science #Research
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Why 137? A hydrogen atom spans 137 Compton wavelengths -- one electron orbit contains 18,800 Compton "ticks." Are these brute facts or signatures of a cosmic Central Limit Theorem converting quantum noise into classical atoms? The cosmological constant is an even stronger candidate: 10^122 horizon pixels produce the observed dark energy. Honest about gaps. https://doi.org/10.5281/zenodo.20182909
#Physics #Math #QuantumMechanics #FineStructureConstant #StatisticalMechanics #Science #Research
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Why 137? A hydrogen atom spans 137 Compton wavelengths -- one electron orbit contains 18,800 Compton "ticks." Are these brute facts or signatures of a cosmic Central Limit Theorem converting quantum noise into classical atoms? The cosmological constant is an even stronger candidate: 10^122 horizon pixels produce the observed dark energy. Honest about gaps. https://doi.org/10.5281/zenodo.20182909
#Physics #Math #QuantumMechanics #FineStructureConstant #StatisticalMechanics #Science #Research
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Why 137? A hydrogen atom spans 137 Compton wavelengths -- one electron orbit contains 18,800 Compton "ticks." Are these brute facts or signatures of a cosmic Central Limit Theorem converting quantum noise into classical atoms? The cosmological constant is an even stronger candidate: 10^122 horizon pixels produce the observed dark energy. Honest about gaps. https://doi.org/10.5281/zenodo.20182909
#Physics #Math #QuantumMechanics #FineStructureConstant #StatisticalMechanics #Science #Research
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The Journal of Physical Chemistry B is a #peerreviewed #scientificJournal that covers research on several fields of material chemistry (macromolecules, soft matter, and #surfactants) as well as #statisticalMechanics, #thermodynamics, and #biophysicalChemistry. It has been published weekly since 1997 by the #AmericanChemicalSociety. According to the #JournalCitationReports, the journal had an #impactFactor of 3.5 for 2023. Due to the growing amount of research in the fields it covers.
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The Journal of Physical Chemistry B is a #peerreviewed #scientificJournal that covers research on several fields of material chemistry (macromolecules, soft matter, and #surfactants) as well as #statisticalMechanics, #thermodynamics, and #biophysicalChemistry. It has been published weekly since 1997 by the #AmericanChemicalSociety. According to the #JournalCitationReports, the journal had an #impactFactor of 3.5 for 2023. Due to the growing amount of research in the fields it covers.
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The Journal of Physical Chemistry B is a #peerreviewed #scientificJournal that covers research on several fields of material chemistry (macromolecules, soft matter, and #surfactants) as well as #statisticalMechanics, #thermodynamics, and #biophysicalChemistry. It has been published weekly since 1997 by the #AmericanChemicalSociety. According to the #JournalCitationReports, the journal had an #impactFactor of 3.5 for 2023. Due to the growing amount of research in the fields it covers.
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Sandomirskiy, F., Tamuz, O. On the origin of the Boltzmann distribution. Math. Ann. 392, 5617–5638 (2025). https://doi.org/10.1007/s00208-025-03263-x
https://arxiv.org/abs/2307.11372
The family of Boltzmann distributions is used in statistical mechanics to describe the distribution of states in systems with a given temperature. We give a novel characterization of this family as the unique one satisfying independence for uncoupled systems. The theorem boils down to a statement about endomorphisms of the convolution semi-group of finitely supported probability measures on the natural numbers, or, alternatively, about endomorphisms of the multiplicative semi-group of polynomials with non-negative coefficients.
https://phys.org/news/2026-02-crazy-dice-proof-fundamental-law.html
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Sandomirskiy, F., Tamuz, O. On the origin of the Boltzmann distribution. Math. Ann. 392, 5617–5638 (2025). https://doi.org/10.1007/s00208-025-03263-x
https://arxiv.org/abs/2307.11372
The family of Boltzmann distributions is used in statistical mechanics to describe the distribution of states in systems with a given temperature. We give a novel characterization of this family as the unique one satisfying independence for uncoupled systems. The theorem boils down to a statement about endomorphisms of the convolution semi-group of finitely supported probability measures on the natural numbers, or, alternatively, about endomorphisms of the multiplicative semi-group of polynomials with non-negative coefficients.
https://phys.org/news/2026-02-crazy-dice-proof-fundamental-law.html
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Sandomirskiy, F., Tamuz, O. On the origin of the Boltzmann distribution. Math. Ann. 392, 5617–5638 (2025). https://doi.org/10.1007/s00208-025-03263-x
https://arxiv.org/abs/2307.11372
The family of Boltzmann distributions is used in statistical mechanics to describe the distribution of states in systems with a given temperature. We give a novel characterization of this family as the unique one satisfying independence for uncoupled systems. The theorem boils down to a statement about endomorphisms of the convolution semi-group of finitely supported probability measures on the natural numbers, or, alternatively, about endomorphisms of the multiplicative semi-group of polynomials with non-negative coefficients.
https://phys.org/news/2026-02-crazy-dice-proof-fundamental-law.html
-
Sandomirskiy, F., Tamuz, O. On the origin of the Boltzmann distribution. Math. Ann. 392, 5617–5638 (2025). https://doi.org/10.1007/s00208-025-03263-x
https://arxiv.org/abs/2307.11372
The family of Boltzmann distributions is used in statistical mechanics to describe the distribution of states in systems with a given temperature. We give a novel characterization of this family as the unique one satisfying independence for uncoupled systems. The theorem boils down to a statement about endomorphisms of the convolution semi-group of finitely supported probability measures on the natural numbers, or, alternatively, about endomorphisms of the multiplicative semi-group of polynomials with non-negative coefficients.
https://phys.org/news/2026-02-crazy-dice-proof-fundamental-law.html
-
Sandomirskiy, F., Tamuz, O. On the origin of the Boltzmann distribution. Math. Ann. 392, 5617–5638 (2025). https://doi.org/10.1007/s00208-025-03263-x
https://arxiv.org/abs/2307.11372
The family of Boltzmann distributions is used in statistical mechanics to describe the distribution of states in systems with a given temperature. We give a novel characterization of this family as the unique one satisfying independence for uncoupled systems. The theorem boils down to a statement about endomorphisms of the convolution semi-group of finitely supported probability measures on the natural numbers, or, alternatively, about endomorphisms of the multiplicative semi-group of polynomials with non-negative coefficients.
https://phys.org/news/2026-02-crazy-dice-proof-fundamental-law.html
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A story from Korawich Kavee on Medium
“whether watching John Doe drive to work justifies the massive computational overhead.“Read “But What’s Wrong with Agent-Based Simulation?“ by Korawich Kavee on Medium: https://korawichmawinkavee.medium.com/but-whats-wrong-with-agent-based-simulation-a93d637bd38c
#simulation #cityplanning #UrbanPlanning #statisticalmechanics #AgentBasedModels #citiesskylines -
A story from Korawich Kavee on Medium
“whether watching John Doe drive to work justifies the massive computational overhead.“Read “But What’s Wrong with Agent-Based Simulation?“ by Korawich Kavee on Medium: https://korawichmawinkavee.medium.com/but-whats-wrong-with-agent-based-simulation-a93d637bd38c
#simulation #cityplanning #UrbanPlanning #statisticalmechanics #AgentBasedModels #citiesskylines -
A story from Korawich Kavee on Medium
“whether watching John Doe drive to work justifies the massive computational overhead.“Read “But What’s Wrong with Agent-Based Simulation?“ by Korawich Kavee on Medium: https://korawichmawinkavee.medium.com/but-whats-wrong-with-agent-based-simulation-a93d637bd38c
#simulation #cityplanning #UrbanPlanning #statisticalmechanics #AgentBasedModels #citiesskylines -
A story from Korawich Kavee on Medium
“whether watching John Doe drive to work justifies the massive computational overhead.“Read “But What’s Wrong with Agent-Based Simulation?“ by Korawich Kavee on Medium: https://korawichmawinkavee.medium.com/but-whats-wrong-with-agent-based-simulation-a93d637bd38c
#simulation #cityplanning #UrbanPlanning #statisticalmechanics #AgentBasedModels #citiesskylines -
A story from Korawich Kavee on Medium
“whether watching John Doe drive to work justifies the massive computational overhead.“Read “But What’s Wrong with Agent-Based Simulation?“ by Korawich Kavee on Medium: https://korawichmawinkavee.medium.com/but-whats-wrong-with-agent-based-simulation-a93d637bd38c
#simulation #cityplanning #UrbanPlanning #statisticalmechanics #AgentBasedModels #citiesskylines -
Derik Kauffman's avant-garde masterpiece explores the riveting concept of "negative temperature" for those #insomniacs looking for a cure. 🤔🔥 Sampling #LLaMA at T0.001T0.001T0.001? Brace yourselves for the groundbreaking revelation: it's weird. Who knew statistical mechanics could be so... cutting-edge? 🥱📉
https://cavendishlabs.org/blog/negative-temperature/ #avantgarde #negativeTemperature #statisticalMechanics #revelation #HackerNews #ngated -
Derik Kauffman's avant-garde masterpiece explores the riveting concept of "negative temperature" for those #insomniacs looking for a cure. 🤔🔥 Sampling #LLaMA at T0.001T0.001T0.001? Brace yourselves for the groundbreaking revelation: it's weird. Who knew statistical mechanics could be so... cutting-edge? 🥱📉
https://cavendishlabs.org/blog/negative-temperature/ #avantgarde #negativeTemperature #statisticalMechanics #revelation #HackerNews #ngated -
Derik Kauffman's avant-garde masterpiece explores the riveting concept of "negative temperature" for those #insomniacs looking for a cure. 🤔🔥 Sampling #LLaMA at T0.001T0.001T0.001? Brace yourselves for the groundbreaking revelation: it's weird. Who knew statistical mechanics could be so... cutting-edge? 🥱📉
https://cavendishlabs.org/blog/negative-temperature/ #avantgarde #negativeTemperature #statisticalMechanics #revelation #HackerNews #ngated -
Derik Kauffman's avant-garde masterpiece explores the riveting concept of "negative temperature" for those #insomniacs looking for a cure. 🤔🔥 Sampling #LLaMA at T0.001T0.001T0.001? Brace yourselves for the groundbreaking revelation: it's weird. Who knew statistical mechanics could be so... cutting-edge? 🥱📉
https://cavendishlabs.org/blog/negative-temperature/ #avantgarde #negativeTemperature #statisticalMechanics #revelation #HackerNews #ngated -
This week, let’s spotlight an excellent foundational Nordita lecture series by Dr. Ivan Khaymovich, available in #OpenAccess on Enabla. This advanced Master-level course offers a modern introduction to the principles of thermalization, ergodicity, and their breakdown in both classical and quantum systems. It's a timely and valuable resource for students and researchers working on nonequilibrium dynamics, chaos, information thermodynamics, and localization phenomena.
💡 Even better: Ivan is on Enabla and happy to help clarify any questions you may have about the lectures. Don’t miss this unique opportunity to deepen your understanding of one of the most active frontiers in theoretical physics; watch and discuss the course with its author and others at https://enabla.com/set/182
📘 Key topics include:
🔹 Classical systems:
• Nonequilibrium and stochastic thermodynamics
• Jarzynski equality and Crooks relation
• Entropy production and the arrow of time
• Thermodynamics on trajectories and Maxwell's Demon
• Feedback and mutual information in thermodynamics
• Classical chaos and ergodicity🔹 Quantum systems:
• Quantum chaos and thermalization
• Ergodicity measures and the Eigenstate Thermalization Hypothesis (ETH)
• Random-matrix theory and eigenlevel statistics
• Anderson and many-body localization (MBL)
• Multifractality and ergodicity breaking beyond MBL#Ergodicity #Thermodynamics #QuantumChaos #Thermalization #StatisticalMechanics #ManyBodyPhysics #InformationThermodynamics
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This week, let’s spotlight an excellent foundational Nordita lecture series by Dr. Ivan Khaymovich, available in #OpenAccess on Enabla. This advanced Master-level course offers a modern introduction to the principles of thermalization, ergodicity, and their breakdown in both classical and quantum systems. It's a timely and valuable resource for students and researchers working on nonequilibrium dynamics, chaos, information thermodynamics, and localization phenomena.
💡 Even better: Ivan is on Enabla and happy to help clarify any questions you may have about the lectures. Don’t miss this unique opportunity to deepen your understanding of one of the most active frontiers in theoretical physics; watch and discuss the course with its author and others at https://enabla.com/set/182
📘 Key topics include:
🔹 Classical systems:
• Nonequilibrium and stochastic thermodynamics
• Jarzynski equality and Crooks relation
• Entropy production and the arrow of time
• Thermodynamics on trajectories and Maxwell's Demon
• Feedback and mutual information in thermodynamics
• Classical chaos and ergodicity🔹 Quantum systems:
• Quantum chaos and thermalization
• Ergodicity measures and the Eigenstate Thermalization Hypothesis (ETH)
• Random-matrix theory and eigenlevel statistics
• Anderson and many-body localization (MBL)
• Multifractality and ergodicity breaking beyond MBL#Ergodicity #Thermodynamics #QuantumChaos #Thermalization #StatisticalMechanics #ManyBodyPhysics #InformationThermodynamics
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This week, let’s spotlight an excellent foundational Nordita lecture series by Dr. Ivan Khaymovich, available in #OpenAccess on Enabla. This advanced Master-level course offers a modern introduction to the principles of thermalization, ergodicity, and their breakdown in both classical and quantum systems. It's a timely and valuable resource for students and researchers working on nonequilibrium dynamics, chaos, information thermodynamics, and localization phenomena.
💡 Even better: Ivan is on Enabla and happy to help clarify any questions you may have about the lectures. Don’t miss this unique opportunity to deepen your understanding of one of the most active frontiers in theoretical physics; watch and discuss the course with its author and others at https://enabla.com/set/182
📘 Key topics include:
🔹 Classical systems:
• Nonequilibrium and stochastic thermodynamics
• Jarzynski equality and Crooks relation
• Entropy production and the arrow of time
• Thermodynamics on trajectories and Maxwell's Demon
• Feedback and mutual information in thermodynamics
• Classical chaos and ergodicity🔹 Quantum systems:
• Quantum chaos and thermalization
• Ergodicity measures and the Eigenstate Thermalization Hypothesis (ETH)
• Random-matrix theory and eigenlevel statistics
• Anderson and many-body localization (MBL)
• Multifractality and ergodicity breaking beyond MBL#Ergodicity #Thermodynamics #QuantumChaos #Thermalization #StatisticalMechanics #ManyBodyPhysics #InformationThermodynamics
-
This week, let’s spotlight an excellent foundational Nordita lecture series by Dr. Ivan Khaymovich, available in #OpenAccess on Enabla. This advanced Master-level course offers a modern introduction to the principles of thermalization, ergodicity, and their breakdown in both classical and quantum systems. It's a timely and valuable resource for students and researchers working on nonequilibrium dynamics, chaos, information thermodynamics, and localization phenomena.
💡 Even better: Ivan is on Enabla and happy to help clarify any questions you may have about the lectures. Don’t miss this unique opportunity to deepen your understanding of one of the most active frontiers in theoretical physics; watch and discuss the course with its author and others at https://enabla.com/set/182
📘 Key topics include:
🔹 Classical systems:
• Nonequilibrium and stochastic thermodynamics
• Jarzynski equality and Crooks relation
• Entropy production and the arrow of time
• Thermodynamics on trajectories and Maxwell's Demon
• Feedback and mutual information in thermodynamics
• Classical chaos and ergodicity🔹 Quantum systems:
• Quantum chaos and thermalization
• Ergodicity measures and the Eigenstate Thermalization Hypothesis (ETH)
• Random-matrix theory and eigenlevel statistics
• Anderson and many-body localization (MBL)
• Multifractality and ergodicity breaking beyond MBL#Ergodicity #Thermodynamics #QuantumChaos #Thermalization #StatisticalMechanics #ManyBodyPhysics #InformationThermodynamics
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#PhysicsJournalClub
"Temperature as joules per bit"
by C.A. Bédard, S. Berthelette, X. Coiteux-Roy, and S. WolfAm. J. Phys. 93, 390 (2025)
https://doi.org/10.1119/5.0198820Entropy is an important but largely misunderstood quantity. A lot of this confusion arise from its original formulation within the framework of Thermodynamics. Looking at it from a microscopic point of view (i.e. approaching it as a Statistical Mechanics problem) makes it a lot more digestible, but its ties to Thermodynamics still creates a lot of unnecessary complications.
In this paper the authors suggest that by removing the forced connection between entropy and the Kelvin temperature scale, one can rethink entropy purely in terms of information capacity of a Physical system, which takes away a lot of the difficulties usually plaguing the understanding of what entropy is actually about.
I don't think the SI will ever consider their suggestion to remove Kelvins as a fundamental unit and include bits, but this paper will be a great boon to any student banging their head against the idea of entropy for the first (or second, or third) time. -
#PhysicsJournalClub
"Temperature as joules per bit"
by C.A. Bédard, S. Berthelette, X. Coiteux-Roy, and S. WolfAm. J. Phys. 93, 390 (2025)
https://doi.org/10.1119/5.0198820Entropy is an important but largely misunderstood quantity. A lot of this confusion arise from its original formulation within the framework of Thermodynamics. Looking at it from a microscopic point of view (i.e. approaching it as a Statistical Mechanics problem) makes it a lot more digestible, but its ties to Thermodynamics still creates a lot of unnecessary complications.
In this paper the authors suggest that by removing the forced connection between entropy and the Kelvin temperature scale, one can rethink entropy purely in terms of information capacity of a Physical system, which takes away a lot of the difficulties usually plaguing the understanding of what entropy is actually about.
I don't think the SI will ever consider their suggestion to remove Kelvins as a fundamental unit and include bits, but this paper will be a great boon to any student banging their head against the idea of entropy for the first (or second, or third) time. -
#PhysicsJournalClub
"Temperature as joules per bit"
by C.A. Bédard, S. Berthelette, X. Coiteux-Roy, and S. WolfAm. J. Phys. 93, 390 (2025)
https://doi.org/10.1119/5.0198820Entropy is an important but largely misunderstood quantity. A lot of this confusion arise from its original formulation within the framework of Thermodynamics. Looking at it from a microscopic point of view (i.e. approaching it as a Statistical Mechanics problem) makes it a lot more digestible, but its ties to Thermodynamics still creates a lot of unnecessary complications.
In this paper the authors suggest that by removing the forced connection between entropy and the Kelvin temperature scale, one can rethink entropy purely in terms of information capacity of a Physical system, which takes away a lot of the difficulties usually plaguing the understanding of what entropy is actually about.
I don't think the SI will ever consider their suggestion to remove Kelvins as a fundamental unit and include bits, but this paper will be a great boon to any student banging their head against the idea of entropy for the first (or second, or third) time. -
#PhysicsJournalClub
"Temperature as joules per bit"
by C.A. Bédard, S. Berthelette, X. Coiteux-Roy, and S. WolfAm. J. Phys. 93, 390 (2025)
https://doi.org/10.1119/5.0198820Entropy is an important but largely misunderstood quantity. A lot of this confusion arise from its original formulation within the framework of Thermodynamics. Looking at it from a microscopic point of view (i.e. approaching it as a Statistical Mechanics problem) makes it a lot more digestible, but its ties to Thermodynamics still creates a lot of unnecessary complications.
In this paper the authors suggest that by removing the forced connection between entropy and the Kelvin temperature scale, one can rethink entropy purely in terms of information capacity of a Physical system, which takes away a lot of the difficulties usually plaguing the understanding of what entropy is actually about.
I don't think the SI will ever consider their suggestion to remove Kelvins as a fundamental unit and include bits, but this paper will be a great boon to any student banging their head against the idea of entropy for the first (or second, or third) time. -
#PhysicsJournalClub
"Temperature as joules per bit"
by C.A. Bédard, S. Berthelette, X. Coiteux-Roy, and S. WolfAm. J. Phys. 93, 390 (2025)
https://doi.org/10.1119/5.0198820Entropy is an important but largely misunderstood quantity. A lot of this confusion arise from its original formulation within the framework of Thermodynamics. Looking at it from a microscopic point of view (i.e. approaching it as a Statistical Mechanics problem) makes it a lot more digestible, but its ties to Thermodynamics still creates a lot of unnecessary complications.
In this paper the authors suggest that by removing the forced connection between entropy and the Kelvin temperature scale, one can rethink entropy purely in terms of information capacity of a Physical system, which takes away a lot of the difficulties usually plaguing the understanding of what entropy is actually about.
I don't think the SI will ever consider their suggestion to remove Kelvins as a fundamental unit and include bits, but this paper will be a great boon to any student banging their head against the idea of entropy for the first (or second, or third) time. -
We are pleased to announce a second lecture from Dr. Marcello Dalmonte (ICTP) on the intricacies of statistical mechanics and phase transitions in the context of data mining the many-body problem. In this part, Marcello discusses essential concepts of the partition function, emphasizing efficient sampling strategies via Markov chains and Monte Carlo simulations. He specifically addresses the challenge of critical slowing down near phase transitions and introduces cluster algorithms as a powerful tool for effective sampling at criticality. Using the illustrative example of a three-site Ising model, Dr. Dalmonte demonstrates how temperature impacts the intrinsic dimensionality of feature spaces, providing valuable insights into many-body systems.
🎥 Don't miss this #OpenAccess opportunity to watch the lecture for free and engage in discussions with the Enabla community, including Marcello himself: https://enabla.com/pub/325/about
The first lecture of the same series was announced earlier: https://mathstodon.xyz/@enabla/113163357376577315
#StatisticalMechanics #UnsupervisedLearning #machine_learning #MonteCarlo #PhaseTransitions #IsingModel #OpenScience
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Weekly Update at the Open Journal of Astrophysics – 08/03/2025
Time for the weekly Saturday morning update of papers published at the Open Journal of Astrophysics. Since the last update we have published four new papers, which brings the number in Volume 8 (2025) up to 25 and the total so far published by OJAp up to 260.
In chronological order of publication, the four papers published this week, with their overlays, are as follows. You can click on the images of the overlays to make them larger should you wish to do so.
The first paper to report is “Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference” by Rebecca Maria Kuntz, Heinrich von Campe, Tobias Röspel, Maximilian Philipp Herzog, and Björn Malte Schäfer, all from the University of Heidelberg (Germany). It was published on Wednesday March 5th 2025 in the folder Cosmology and NonGalactic Astrophysics and it discusses the relationship between information theory and thermodynamics with applications to Bayesian inference in the context of cosmological data sets.
You can read the officially accepted version of this paper on arXiv here.
The second paper of the week is “The Cosmological Population of Gamma-Ray Bursts from the Disks of Active Galactic Nuclei” by Hoyoung D. Kang & Rosalba Perna (Stony Brook), Davide Lazzati (Oregon State), and Yi-Han Wang (U. Nevada), all based in the USA. It was published on Thursday 6th March 2025 in the folder High-Energy Astrophysical Phenomena. The authors use models for GRB electromagnetic emission to simulate the cosmological occurrence and observational detectability of both long and short GRBs within AGN disks
You can find the officially accepted version of this paper on arXiv here.
The next two papers were published on Friday 7th March 2025.
“The distribution of misalignment angles in multipolar planetary nebulae” by Ido Avitan and Noam Soker (Technion, Haifa, Israel) analyzes the statistics of measured misalignment angles in multipolar planetary nebulae implies a random three-dimensional angle distribution limited to <60 degrees. It is in the folder Solar and Stellar Astrophysics.
Here is the overlay:
The official published version can be found on the arXiv here.
The last paper to report this week is “The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3×2-pt statistics” by Chris Blake (Swinburne, Australia) and 43 others; this is a large international collaboration and I apologize for not being able to list all the authors here!
This one is in the folder marked Cosmology and NonGalactic Astrophysics; it presents an end-to-end simulation study designed to test the analysis pipeline for the Dark Energy Spectroscopic Instrument (DESI) Year 1 galaxy redshift dataset combined with weak gravitational lensing from other surveys.
The overlay is here:
You can find the “final” version on arXiv here.
That’s all for this week. It’s good to see such an interesting variety of topics. I’ll do another update next Saturday
#3x2ptAnalysis #ActiveGalacticNuclei #arXiv241113625v2 #arXiv241212548v2 #arXiv241217714v2 #arXiv250104549v2 #BayesianInference #Cosmology #CosmologyAndNonGalacticAstrophysics #DESI #DiamondOpenAccess #DiamondOpenAccessPublishing #entropy #GammaRayBursts #HighEnergyAstrophysicalPhenomena #InformationTheory #numericalSimulations #planetaryNebulae #SolarAndStellarAstrophysics #StatisticalMechanics #WeakLensing
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Weekly Update at the Open Journal of Astrophysics – 08/03/2025
Time for the weekly Saturday morning update of papers published at the Open Journal of Astrophysics. Since the last update we have published four new papers, which brings the number in Volume 8 (2025) up to 25 and the total so far published by OJAp up to 260.
In chronological order of publication, the four papers published this week, with their overlays, are as follows. You can click on the images of the overlays to make them larger should you wish to do so.
The first paper to report is “Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference” by Rebecca Maria Kuntz, Heinrich von Campe, Tobias Röspel, Maximilian Philipp Herzog, and Björn Malte Schäfer, all from the University of Heidelberg (Germany). It was published on Wednesday March 5th 2025 in the folder Cosmology and NonGalactic Astrophysics and it discusses the relationship between information theory and thermodynamics with applications to Bayesian inference in the context of cosmological data sets.
You can read the officially accepted version of this paper on arXiv here.
The second paper of the week is “The Cosmological Population of Gamma-Ray Bursts from the Disks of Active Galactic Nuclei” by Hoyoung D. Kang & Rosalba Perna (Stony Brook), Davide Lazzati (Oregon State), and Yi-Han Wang (U. Nevada), all based in the USA. It was published on Thursday 6th March 2025 in the folder High-Energy Astrophysical Phenomena. The authors use models for GRB electromagnetic emission to simulate the cosmological occurrence and observational detectability of both long and short GRBs within AGN disks
You can find the officially accepted version of this paper on arXiv here.
The next two papers were published on Friday 7th March 2025.
“The distribution of misalignment angles in multipolar planetary nebulae” by Ido Avitan and Noam Soker (Technion, Haifa, Israel) analyzes the statistics of measured misalignment angles in multipolar planetary nebulae implies a random three-dimensional angle distribution limited to <60 degrees. It is in the folder Solar and Stellar Astrophysics.
Here is the overlay:
The official published version can be found on the arXiv here.
The last paper to report this week is “The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3×2-pt statistics” by Chris Blake (Swinburne, Australia) and 43 others; this is a large international collaboration and I apologize for not being able to list all the authors here!
This one is in the folder marked Cosmology and NonGalactic Astrophysics; it presents an end-to-end simulation study designed to test the analysis pipeline for the Dark Energy Spectroscopic Instrument (DESI) Year 1 galaxy redshift dataset combined with weak gravitational lensing from other surveys.
The overlay is here:
You can find the “final” version on arXiv here.
That’s all for this week. It’s good to see such an interesting variety of topics. I’ll do another update next Saturday
#3x2ptAnalysis #ActiveGalacticNuclei #arXiv241113625v2 #arXiv241212548v2 #arXiv241217714v2 #arXiv250104549v2 #BayesianInference #Cosmology #CosmologyAndNonGalacticAstrophysics #DESI #DiamondOpenAccess #DiamondOpenAccessPublishing #entropy #GammaRayBursts #HighEnergyAstrophysicalPhenomena #InformationTheory #numericalSimulations #planetaryNebulae #SolarAndStellarAstrophysics #StatisticalMechanics #WeakLensing
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Explore the intersection of data mining and many-body physics with Dr. Marcello Dalmonte from the Abdus Salam International Centre for Theoretical Physics (ICTP) and his first lecture of the 7-part series 'Data Mining the Many-body Problem.' Marcello is eager to answer your questions on Enabla, so don’t miss the chance to deepen your understanding through direct interaction!
🔗 Watch here: https://enabla.com/pub/702/about
Abstract: In this lecture, we focus on the intersection of data mining and the many-body problem, within the framework of statistical mechanics. We outline our motivations for leveraging advances in computational techniques to analyze large datasets generated by complex physical systems. We discuss concepts of universality across diverse fields and how they can inform our understanding of data structures. By exploring lattice models such as the two-dimensional Ising one, we aim to uncover universal behaviors that bridge physics and data science through innovative methodologies like unsupervised learning. This course seeks to equip participants with tools that highlight shared characteristics among seemingly disparate phenomena and are interested in understanding the many-body problem in terms of high-dimensional geometry concepts.
#DataScience #ManyBodyPhysics #StatisticalMechanics #Universality #OpenAccess
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Explore the intersection of data mining and many-body physics with Dr. Marcello Dalmonte from the Abdus Salam International Centre for Theoretical Physics (ICTP) and his first lecture of the 7-part series 'Data Mining the Many-body Problem.' Marcello is eager to answer your questions on Enabla, so don’t miss the chance to deepen your understanding through direct interaction!
🔗 Watch here: https://enabla.com/pub/702/about
Abstract: In this lecture, we focus on the intersection of data mining and the many-body problem, within the framework of statistical mechanics. We outline our motivations for leveraging advances in computational techniques to analyze large datasets generated by complex physical systems. We discuss concepts of universality across diverse fields and how they can inform our understanding of data structures. By exploring lattice models such as the two-dimensional Ising one, we aim to uncover universal behaviors that bridge physics and data science through innovative methodologies like unsupervised learning. This course seeks to equip participants with tools that highlight shared characteristics among seemingly disparate phenomena and are interested in understanding the many-body problem in terms of high-dimensional geometry concepts.
#DataScience #ManyBodyPhysics #StatisticalMechanics #Universality #OpenAccess
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Explore the intersection of data mining and many-body physics with Dr. Marcello Dalmonte from the Abdus Salam International Centre for Theoretical Physics (ICTP) and his first lecture of the 7-part series 'Data Mining the Many-body Problem.' Marcello is eager to answer your questions on Enabla, so don’t miss the chance to deepen your understanding through direct interaction!
🔗 Watch here: https://enabla.com/pub/702/about
Abstract: In this lecture, we focus on the intersection of data mining and the many-body problem, within the framework of statistical mechanics. We outline our motivations for leveraging advances in computational techniques to analyze large datasets generated by complex physical systems. We discuss concepts of universality across diverse fields and how they can inform our understanding of data structures. By exploring lattice models such as the two-dimensional Ising one, we aim to uncover universal behaviors that bridge physics and data science through innovative methodologies like unsupervised learning. This course seeks to equip participants with tools that highlight shared characteristics among seemingly disparate phenomena and are interested in understanding the many-body problem in terms of high-dimensional geometry concepts.
#DataScience #ManyBodyPhysics #StatisticalMechanics #Universality #OpenAccess
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Explore the intersection of data mining and many-body physics with Dr. Marcello Dalmonte from the Abdus Salam International Centre for Theoretical Physics (ICTP) and his first lecture of the 7-part series 'Data Mining the Many-body Problem.' Marcello is eager to answer your questions on Enabla, so don’t miss the chance to deepen your understanding through direct interaction!
🔗 Watch here: https://enabla.com/pub/702/about
Abstract: In this lecture, we focus on the intersection of data mining and the many-body problem, within the framework of statistical mechanics. We outline our motivations for leveraging advances in computational techniques to analyze large datasets generated by complex physical systems. We discuss concepts of universality across diverse fields and how they can inform our understanding of data structures. By exploring lattice models such as the two-dimensional Ising one, we aim to uncover universal behaviors that bridge physics and data science through innovative methodologies like unsupervised learning. This course seeks to equip participants with tools that highlight shared characteristics among seemingly disparate phenomena and are interested in understanding the many-body problem in terms of high-dimensional geometry concepts.
#DataScience #ManyBodyPhysics #StatisticalMechanics #Universality #OpenAccess
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8-AUG-2024
Are #birds flying atoms?
Physical and biological systems are different. But are they? A new study on JSTAT observes that similarities might be greater than we thinkhttps://www.eurekalert.org/news-releases/1053550 #science #CollectiveBehaviour #statisticalMechanics
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8-AUG-2024
Are #birds flying atoms?
Physical and biological systems are different. But are they? A new study on JSTAT observes that similarities might be greater than we thinkhttps://www.eurekalert.org/news-releases/1053550 #science #CollectiveBehaviour #statisticalMechanics
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8-AUG-2024
Are #birds flying atoms?
Physical and biological systems are different. But are they? A new study on JSTAT observes that similarities might be greater than we thinkhttps://www.eurekalert.org/news-releases/1053550 #science #CollectiveBehaviour #statisticalMechanics
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8-AUG-2024
Are #birds flying atoms?
Physical and biological systems are different. But are they? A new study on JSTAT observes that similarities might be greater than we thinkhttps://www.eurekalert.org/news-releases/1053550 #science #CollectiveBehaviour #statisticalMechanics
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8-AUG-2024
Are #birds flying atoms?
Physical and biological systems are different. But are they? A new study on JSTAT observes that similarities might be greater than we thinkhttps://www.eurekalert.org/news-releases/1053550 #science #CollectiveBehaviour #statisticalMechanics
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#DeanRickles - Is #Time #Fundamental?
https://www.youtube.com/watch?v=1TkPn-QNYtk
#Philosophy #PhilosophyOfTime #Logic #Metaphysics #PhilosophyOfScience #Science #Emergence #Physics #Entropy #StatisticalMechanics #GR #GeneralRelativity #SpecialRelativity #Newton #Einstein #QM #QuantumMechanics #QuantumTheory #FieldTheory #Space #SpaceTime #QuantumFieldTheory #CloserToTruth #RobertKuhn
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#DeanRickles - Is #Time #Fundamental?
https://www.youtube.com/watch?v=1TkPn-QNYtk
#Philosophy #PhilosophyOfTime #Logic #Metaphysics #PhilosophyOfScience #Science #Emergence #Physics #Entropy #StatisticalMechanics #GR #GeneralRelativity #SpecialRelativity #Newton #Einstein #QM #QuantumMechanics #QuantumTheory #FieldTheory #Space #SpaceTime #QuantumFieldTheory #CloserToTruth #RobertKuhn
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#DeanRickles - Is #Time #Fundamental?
https://www.youtube.com/watch?v=1TkPn-QNYtk
#Philosophy #PhilosophyOfTime #Logic #Metaphysics #PhilosophyOfScience #Science #Emergence #Physics #Entropy #StatisticalMechanics #GR #GeneralRelativity #SpecialRelativity #Newton #Einstein #QM #QuantumMechanics #QuantumTheory #FieldTheory #Space #SpaceTime #QuantumFieldTheory #CloserToTruth #RobertKuhn
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#DeanRickles - Is #Time #Fundamental?
https://www.youtube.com/watch?v=1TkPn-QNYtk
#Philosophy #PhilosophyOfTime #Logic #Metaphysics #PhilosophyOfScience #Science #Emergence #Physics #Entropy #StatisticalMechanics #GR #GeneralRelativity #SpecialRelativity #Newton #Einstein #QM #QuantumMechanics #QuantumTheory #FieldTheory #Space #SpaceTime #QuantumFieldTheory #CloserToTruth #RobertKuhn
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#DeanRickles - Is #Time #Fundamental?
https://www.youtube.com/watch?v=1TkPn-QNYtk
#Philosophy #PhilosophyOfTime #Logic #Metaphysics #PhilosophyOfScience #Science #Emergence #Physics #Entropy #StatisticalMechanics #GR #GeneralRelativity #SpecialRelativity #Newton #Einstein #QM #QuantumMechanics #QuantumTheory #FieldTheory #Space #SpaceTime #QuantumFieldTheory #CloserToTruth #RobertKuhn
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CW: suicide / mental health
Eesh. And I thought the "weed out" classes were bad when I was in school...
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CW: suicide / mental health
Eesh. And I thought the "weed out" classes were bad when I was in school...
