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Saturday, September 6, 2025

A critical review of the AGN feedback models

 

I have developed my career over almost 20 years as an engineer. In the astronomy world, but always with engineering roles. As an engineer, you can receive reports of something not working, and what is expected is that you acknowledge and investigate the problem and then find a solution. At some point, you realize that a system has a more fundamental issue, and a completely new approach is necessary. In my opinion, the state of AGN feedback models in the context of cool-core galaxy clusters really falls into this category. In my previous entry, I presented the characteristic curve of cool-core fractions from groups to massive clusters, and showed that there is a discrepancy at the lower mass range, in the domain of galaxy groups.  This problem becomes even more visible when comparing the mid and strong cool-core cluster populations, which are significantly more suppressed in comparison with observations, in contrast with the general cool-core cluster population. 


The plot above, presented in Appendix A of my paper "How the cool-core population transitions from galaxy groups to massive clusters" illustrates the mid (left panel) and mid-to-strong (right panel) cool core cluster populations of the largest Magneticum simulation (Box2b/hr) in comparison with observational data. The discrepancy is clear, and extends to the galaxy cluster regime, even above the mass limit where the observational data samples should be complete and unbiased. Paraphrasing Professor Massimo Gaspari: “We live now probably in a theoretical era of heating catastrophe, in which cooling can be easily halted, but models are rarely checked against overheating.” (from "Solving the cooling flow problem through mechanical AGN feedback")


So, what has happened? There are many different issues that contribute to this problem. One is, of course, the AGN feedback level, which is significantly higher than what can be derived from cavity powers and radio emission in observed low mass end of galaxy clusters, and groups as illustrated by the plot on the left side. This was already pointed out by Prof. Dr. Dunja Fabjan in the comprehensive work "Simulating the effect of active galactic nuclei feedback on the metal enrichment of galaxy clusters" a few years ago. Going back to the origin of this model which was presented in the seminal paper "Supermassive Black Holes in Elliptical Galaxies: Switching from Very Bright to Very Dim" the expectation is that if the AGN  accretion follows the Bondi formula, which is inversely proportional to the entropy, then a self-regulating feedback loop should be established. In this case, the radiative and feedback efficiencies, which are parameters that regulate the energy injected in the surrounding medium following AGN accretion, should not matter that much if they are set to 'reasonable' values. But in reality, we see that the feedback loop does not adjust naturally, and it is very difficult (if not impossible) to set the radiative and feedback efficiencies to values that work at all scales, from galaxy groups up to massive galaxy clusters. For example, the previously mentioned work "Solving the cooling flow problem through mechanical AGN feedback" proposes 3 different values of feedback efficiency for galaxy clusters, galaxy groups, and isolated ellipticals. Also, the detailed observational work "AGN jet power and feedback characterised by Bondi accretion in brightest cluster galaxies" by Yukata Fujia finds a ratio between the AGN power and the so-called “Bondi Power” in the range of 0.001 – 1, spanning 3 orders of magnitude. It is truly a fine-tuning problem, which triggers all my alarms that there is something unnatural in the underlying idea that the AGN feedback can self-regulate to perfectly compensate the radiative looses. 


Unfortunately the problems do not end here. If we look in detail at the situation of the simulated cool-core fractions and AGN feedback at the scale of massive galaxy clusters, they seem to align well with observations; therefore, one would expect the simulated gas and stellar fractions to also match observations, but this is not the case, as illustrated by the figures below. The left panel shows the total (hot + cold) gas fraction in the inner regions (R2500) of simulated and observed galaxy clusters, and the right-hand panel shows the stellar gas fraction for the same region. 


There is clearly a systematic excess of stellar mass, and a corresponding deficit of gas mass, which in reality would be much worse if we looked only at the hot gas, not the total cold + hot gas. So, despite having a better agreement for the AGN feedback at the scale of massive galaxy clusters, it has not properly stopped runaway cooling and star formation. 


The missing link here lies in the spatial distribution of AGN feedback. Even if the level of AGN feedback is well aligned with observations at the scale of massive galaxy clusters, the energy is injected stochastically, but following spherical symmetry in the neighbouring particles inside the so-called ‘black hole sphere of influence’ radius, which decreases as the density increases, following the SPH description for smoothing length (See Eq. 6 from "The cosmological simulation code GADGET-2"). As a result, the AGN feedback generated in lower entropy cores, with higher densities, which actually produce stronger AGN feedback following the Bondi accretion formula, is deposited in smaller regions. This is at odds with observations where we see that the stronger the AGN feedback is, the further it reaches, as illustrated by the plot on the right side.


These problems are not so visible at large scale, and as a matter of fact, the recent compendium of comparisons between observations and the Magneticum simulations shows a good agreement looking at the larger scales of R500 (see "Scaling Relations from Cosmic Dawn to Present Day"). But the AGN feedback model was conceived to prevent problems at the core regions, so a positive check at larger scales does not imply a validation of the AGN feedback model. One interesting example of this is enrichment at large radii. This is usually attributed to the goodness of the AGN feedback models (see Enrichment of the hot intracluster medium: Numerical simulations), but then from observations we see a much stronger difference in the flatness of metallicity profiles comparing disturbed and non-disturbed systems rather than radio-active and radio-quiet systems (see Figures 7 and 8, respectively, from "The non-uniformity of galaxy cluster metallicity profiles").


It is possible to address these problems, adjusting the AGN feedback efficiency to have a better scaling from galaxy groups up to galaxy clusters, and also, it is possible to use different distribution schemas for the injected energy, which scale with the feedback power as seen in observations. In the paper "How the cool-core population transitions from galaxy groups to massive clusters" we present effective models in this direction, also illustrated in the plots below, which show in dark blue the 'corrected' AGN feedback energy injection (left panel), and 'corrected' AGN feedback reach or sphere of influence (right panel).  These alternative models could potentially alleviate overheating problems at the scale of galaxy groups and the excess of star formation at the scale of galaxy clusters.

However, I see these options as technical ‘workarounds’ (using the engineering argon), because in reality the AGN feedback is highly directional, and not distributed spherically as done by the simulations. Some popular lines to improve the AGN feedback models are based on spin, since variations in the AGN spin naturally provide a way to distribute the AGN feedback along different directions. However, a very nice result from Lucas Sala shows that the spin parameter of the AGNs in the center of BCGs actually decreases with the mass of the system (see "Supermassive black hole spin evolution in cosmological simulations with OPENGADGET3"). This has always made a lot of sense to me, since more massive galaxy clusters have typically undergone more mergers, and therefore the spin parameter should tend to 0 according to the isotropic principle (see the illustration below). However, it poses two problems. First, it means that the AGN efficiency (accounting for spin) should actually be higher for galaxy groups than for galaxy clusters, which could cause even stronger overheating for groups and runaway cooling for massive clusters. Secondly, it shows that it is hard for the AGNs of massive galaxy clusters to acquire a higher spin, or change it, which also makes sense since most of the AGNs in massive galaxy clusters are in ADAF mode, with a torus accretion zone rather than a high angular momentum disk.


Finally, some part of the community has always argued that mechanical feedback is the right channel for the AGN feedback in the modern Universe, since almost all AGNs in the center of galaxy clusters are very dim and in radiative mode (see again "Supermassive Black Holes in Elliptical Galaxies: Switching from Very Bright to Very Dim"). It was difficult to argue against mechanical feedback because it was not observable until recently; however, the observations from Hitomi and XRIM point towards very little kinetic energy (low thermal pressure support) in the cores of galaxy clusters as opposed to what is expected from AGN mechanical feedback:


- Hitomi Perseus: "Turbulent pressure support in the gas is 4% or less of the thermodynamic pressure, with large scale shear at most doubling that estimate... A low level of turbulent pressure and bulk shear, in a region continuously stirred by a central AGN and gas sloshing, is surprising and may imply that ICM turbulence is difficult to generate and/or easy to damp." ("The Quiescent Intracluster Medium in the Core of the Perseus Cluster")
- XRIM Centaurus: "The ratio of kinetic to thermal energy density is ∼ 0.03. The velocity dispersion does not increase significantly even in the Central region or in the AGN neighbourhood. This may indicate that the influence of the AGN on the ICM motion in the core is limited." (see "The Bulk Motion of Gas in the Core of the Centaurus  Galaxy Cluster")
- XRIM A2029: "The AGN is currently bright in the radio, but there is no evidence in the X-rays of any AGN driven mechanical disturbance. These characteristics, combined with the low non thermal  pressure support inferred from the low XRISM velocity dispersion, suggest the cluster may currently be in a quiescent phase of AGN feedback" (see "XRISM Reveals Low Nonthermal Pressure in the Core of the Hot, Relaxed Galaxy Cluster A2029")
- Moreover, the simulations that report low levels of turbulent energy compatible with the observations of Hitomi and XRIM neither implement radiative cooling nor AGN feedback (see "Turbulence in Simulated Local Cluster Analogs: one-to-one comparisons between SLOW and XRISM/Hitomi")



So let’s summarize:


- The results from simulations show that the AGN feedback loop does not self-regulate and cannot be adjusted to perfectly compensate for the radiative losses at all scales (from galaxy groups to massive clusters). It is extremely difficult to obtain a balance between radiative losses and AGN feedback, and it does require fine-tuning in the best case.

-Even if the models were perfectly tuned, real AGN feedback is highly directional, and the energy distribution mechanisms are very unclear. This means that still lots of cold gas should be formed in the regions away from the line of sight of the AGN jets.Variation of AGN spin as a way to better distribute the AGN feedback does not work in the modern Universe because most AGNs are in ADAF mode, characterize by low angular momentum accretion driven by torus rather than a thin disk.

- Spin-based models to regulate the AGN efficiency show that the AGNs hosted in the massive clusters have undergone more mergers, and have a lower spin parameter, which means that they should have lower AGN feedback efficiency than AGNs hosted in galaxy groups. However, this could actually increase the overheating problems in galaxy groups and runaway cooling in massive galaxy clusters.

- Since in the modern Universe almost all AGNs in the cores of galaxy clusters are in radio mode, the energy can only be injected in the form of non-radiative channels such as mechanical feedback; however, both Hitomi and XRIM have detected very low levels of turbulent energy, even in the regions surrounding the AGNs.



What do you think? To me, this looks like the underlying idea of AGNs preventing runaway cooling in the cores of galaxy clusters in the modern Universe is shaky, and I think it would be worth looking into other directions rather than trying to hammer this idea any further. Perhaps we should revisit thermal conductivity? This has the advantage of being present everywhere in the cluster core as opposed to directional AGN feedback. But thermal conductivity requires resolving the so-called field length to work effectively, which means that perhaps a higher resolution than the one used so far in the cosmological simulations, such as Magneticum Box2b or Illustris TNG-300 / TNG-Cluster is needed.




Saturday, February 8, 2025

The characteristic curve of cool-core fractions from groups to massive clusters

Characteristic curve of cool-core fractions

Characteristic curve of cool-core fractions

In the paper "How the cool-core population transitions from galaxy groups to massive clusters" we unveil how the population of cool-core clusters changes from the scales of galaxy groups to massive clusters. The largest Magneticum simulation (Box2b/hr) shows a very characteristic curve, which peaks in the transition from galaxy groups to clusters (1e14 Msun) and decreases towards both sides, small galaxy groups and massive galaxy clusters. This trend is also followed by the observational data, but it does not decrease so sharply for the lower mass systems. A priori, this reminded me of the Gamow peak, where two factors with opposing trends (high energy tail of the Maxwell-Boltzmann distribution and tunnelling through a Coulomb barrier) combine to produce a range of energies where the probability of fusion is maximised.


This was a very inspiring idea, so we looked into the underlying trends of the two main factors known to affect the thermodynamical evolution of galaxy clusters: On one hand, we have the feedback from the supermassive black hole (SMBH) hosted in the central Brightest cluster galaxy (BCG), and on the other, the impact of thermal conductivity and recent merge activity. From the Magneticum simulations, it is possible to obtain in a straightforward way the energy injected by the central SMBH, and we can also obtain the Spitzer coefficient for thermal conductivity and the number of mergers undergone by the BCG as a proxy for the merger activity. As I suspected, the relative impact (w.r.t. the bolometric luminosity) on the central SMBH decreases towards the most massive galaxy clusters, but on the other hand, the Spitzer coefficient increases sharply due to the T^(5/2) dependency, and the number of mergers increases since the most massive clusters typically had more mergers to assemble. These factors combined in a similar way as in the Gamow peak to produce the characteristic curve of cool-core fractions.

Left: Relative impact of central black hole, Center: Number of merges, Right: Spitzer coefficient normalized to 1keV
Left: Relative impact of central black hole, Center: Number of merges, Right: Spitzer coefficient normalized to 1keV

Concept of the driving factors behind the characteristic curve of cool-core fractions

Concept of the driving factors behind the characteristic curve of cool-core fractions




The question was: How can we quantify the dynamical state of groups and clusters of galaxies to verify that they are imprinted with energy from recent merge activity? In the realm of observations, there are a lot of works based on the morphological parameters of galaxy clusters. For example, the X-Ray Morphological Analysis of the Planck ESZ Clusters by Lorenzo Lovisari and collaborators is a wonderful example, including images of the clusters to give you a visual idea of what disturbed and relaxed clusters look like. However, we were looking for a direct quantification rather than a tracer; in this sense, cosmological simulations provide a lot of insight since it is possible to recover all energy-related variables for each particle in a simulated galaxy cluster, including the internal and kinetic energy.


Total freedom ratio

Total freedom ratio

Initially I considered the virial ratio (two times the total internal and kinetic energy over the gravitational energy), since this is expected to be 2 for relaxed systems according to the Virial Theorem. However, this result is only exact for closed systems, and in open systems (for example, the core region of a galaxy cluster), it is necessary to consider boundary conditions (the pressure and potential external to the core), which is cumbersome to obtain from a smooth particle hydrodynamics (SPH) simulation. However, if we don't consider the boundary conditions, the ratio between the total energy and the potential energy for each particle is analogous to the square of the ratio between a particle's velocity and the escape velocity. We called this ratio the 'freedom ratio' which as see on the left panel shows a clear increasing trend towards more massive galaxy clusters, indicating that they have been energised by recent merge activity.

Kinetic energy fraction
Kinetic energy fraction

Now you can see that our cool-core clusters (shown in blue) and hot-core clusters (shown in orange) have similar trends and distributions, so why does the extra energy from merge activities turn only some clusters into hot-core clusters whereas others remain as hot-core clusters? The answer to this lies in the thermalisation of the energy introduced by the merge activity. We can quantify it as the ratio between the internal energy and the total (internal plus kinetic) energy of a galaxy cluster. This is a quantity that is also very difficult to measure observationally (we only have the estimations from Hitomi) but is easily accessible for cosmological simulations. As you can see on the right panel, the kinetic energy fraction for cool-core clusters is generally higher than for hot-core clusters, although in both cases it decreases towards the most massive clusters, indicating that the thermalisation process is more efficient in converting kinetic energy into internal energy at that scale, thus helping to reduce the cool-core fractions.



Friday, January 3, 2025

The treasure hunter



Justo A. González Villalba

Welcome, my dear visitor. My name is Justo Antonio González Villalba, and everything you will read in this blog is my very direct typewriting.  I am originally from Spain, Madrid, one of the most welcoming and culturally diverse cities I know in the country and abroad, where I studied applied physics at the Universidad Complutense de Madrid (UCM). I started my decades-long career as a software engineer working on Earth-observation projects for the European Space Agency (ESA), such as SMOS and SWARM, to study the evolution of the Earth's temperature and magnetic fields.



ALMA antennas observing an event horizon

Then I moved into astronomy, thanks to the European Southern Observatory (ESO), where I have been working for Atacama Large Millimetre Array (ALMA), one of the largest astronomy endeavours in the world. ALMA is famous for many things, such as unveiling protoplanetary discs and contributing to making the first image of a black hole event horizon. I started with ALMA a couple of years before the first scientific observations, at the time when we were at the edge of what astronomy can deliver. At first I joined the ALMA Archive team and developed the first working version of the data acquisition and distribution system, which is still running smoothly nowadays. Then I moved into the Common Astronomy Software Applications (CASA), where I lead developments in many areas, such as the data transformation and parallel processing frameworks. Currently I am the lead of the ALMA telescope calibration software, which runs continuously in the observatory (24/7) and performs the online calibration of the array, including many hardware components such as antennas, receivers, and electronics.

University Observatory of Munich

Some years ago I decided to dig further into the scientific aspects of the projects I work with. So I enrolled to study astrophysics at the Ludwig Maximilian University of Munich (LMU), in particular in the University Observatory of Munich (USM). This is the same university where giants of quantum mechanics, such as Max Planck and Wolfgang Pauli, studied too. However, my main research focus is quite far from the quantum realm, rather on the completely opposite side: galaxy clusters, which are some of the biggest structures known in the Universe. Also, nowadays we can use the immense computational power available to run and analyze cosmological simulations that put to the test our models for the physics of galaxy clusters. I can do this thanks to the Computational Astrophysics (CAST) group of the USM, in particular Prof. Dr. Klaus Dolag.


The cosmic web
The reason why I study galaxy clusters instead of quantum mechanics? This is simply because they represent the ultimate frontier of physics. We know in great detail what happens at the quantum level, and this knowledge is solid up to the stellar evolution models; also, classical gravity works really well at the scale of the solar system, but beyond is where things start to get very complicated. At the scale of galaxy clusters, unclear elements of physics, such as dark matter, become dominant, and the borders between the Universe as a whole and local structures are fuzzy. Galaxy clusters represent metaphorically and physically the Gordian Knot of astrophysics as they build up in the knots between filaments of the cosmic web.



Jet-driven black hole feedback
There is one particular class of galaxy clusters that has drawn my attention since it escapes all explanations in terms of classical physics, and it touches on one of the concepts of physics that is crucial for our society: energy. I am talking about the so-called cool-core galaxy clusters. These objects are cooler and denser in the central regions, so theoretically they should radiate away their energy reservoir quickly, producing significant amounts of even colder gas and triggering star formation. This situation is described as the cooling flow problem or cooling catastrophe in analogy to the ultraviolet catastrophe of the black body radiation back in the early XX century. However, the significant amounts of cold gas and star formation that this model predicted have never been observed. The most established theory is that cool core galaxy clusters host a central black hole that accretes material and ejects some of it, generally in the form of jets at relativistic speeds, heating up the intra-cluster medium (ICM) gas. I learnt all this directly from Prof. Dr. Hans Böhringer at the LMU, who is one of the founding fathers of this model.

But is this everything to it? Although the black hole energy injection theory is very well established, we have recurring questions as to why this energy perfectly balances the radiation losses (the so-called fine-tuning problem) and how it can be distributed across the intra-cluster medium. I think it is undeniable that black holes have an energetic imprint in galaxy clusters. However, we have to keep in mind that galaxy clusters are the biggest structures in the Universe, so it looks challenging to explain the whole problem with the mere contribution of the central black hole. One interesting avenue to explore is the contribution from mergers. Actually, mergers of galaxy clusters are the most energetic events since the Big Bang! The images below show different views of a galaxy cluster merger from the Magneticum Box2b simulation. One of the largest simulations for its resolution class.


Different views of a galaxy cluster merger

In this blog I will post my ideas, thoughts, and findings in the realm of galaxy clusters, the cool-core problem, dark matter, dark energy, and astrophysics in general. I hope you will find it informative and enjoyable!

And here is my list of publications. Don't hesitate to contact me if you have any questions or proposals for collaboration: