REVIEW 3 major objections 4 minor 1 cited by
No evidence for excess AGN activity in recently quenched massive galaxies at cosmic noon
T0 review · 3 major / 4 minor · reviewed 2026-08-16 · deepseek-v4-flash
Pith's one-line read Deep Chandra observations of more than 200 massive post-starburst galaxies at redshift 1–3 reveal no excess X-ray AGN activity: the mean AGN luminosity matches passive galaxies and sits a factor of 2.6 below star-forming galaxies of equal…
desk verdict A careful, transparent null result on AGN in post-starbursts at z~1-3; the measurement is solid, the selection is the softest link, and it deserves a serious referee. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The analysis rests on two tools: the PCA 'super-colours' used to classify galaxies and the stacking code CSTACK used to measure average X-ray flux. Super-colours are linear combinations of rest-frame broad-band photometry, spanning 2500 to 15000 Å, that separate star-forming, passive, and post-starburst galaxies by the shape of their spectral energy distributions, with post-starbursts identified by A-star dominated SEDs indicating a recent burst quenched within roughly 1 Gyr. CSTACK stacks the Chandra images at the locations of X-ray-undetected galaxies, within 8 arcmin of field centres, to push below individual detection limits, after removing known sources and applying a bootstrap to derive uncertainties. The argument is carried by comparing AGN detection fractions and stacked mean luminosities across three populations matched in stellar mass and redshift, together with a simple model that adds AGN light to a template post-starburst SED to quantify how often blue AGN would misclassify a quenched galaxy as star-forming. This model yields the key correction: at most about 30 per cent of Type 1 AGN could be missing, and correcting for them leaves the conclusions unchanged.
What would settle it
A spectroscopic survey of massive galaxies at redshift 1–3 selected purely on Balmer absorption, with matching Chandra and mid-infrared data, would settle whether the null result is robust: if such spectroscopically confirmed post-starbursts show X-ray AGN fractions or mean luminosities distinctly above the passive-galaxy level, beyond the modelled ~0.1 dex correction, the paper's conclusion would be overturned.
Extended reading notes
Core claim
The central discovery is that recently quenched massive galaxies at cosmic noon do not show enhanced AGN activity. X-ray AGN are detected in $6.2 \pm 1.5$ per cent of massive post-starburst galaxies ($M_\ast > 10^{10.5}\,M_\odot$, $1<z<3$), below the $8.2 \pm 0.5$ per cent found in star-forming galaxies and statistically indistinguishable from the $5.7 \pm 0.8$ per cent in passive galaxies. Stacking the X-ray emission of undetected galaxies shows that post-starbursts have mean $0.5{-}8$ keV luminosities a factor of $2.6 \pm 0.3$ below mass- and redshift-matched star-forming galaxies, but similar to passive galaxies. The mean X-ray luminosity scales with star-formation rate across all populations, indicating that AGN activity tracks gas availability rather than the quenching event itself. The authors reconcile these low rates with the prevalence of high-velocity outflows in post-starburst galaxies by positing that luminous AGN phases are short-lived, visible only about 5 per cent of the time, so the winds outlast the X-ray-bright episode. In their picture, X-ray AGN may help maintain quiescence, but there is no direct link to the primary quenching event.
Load-bearing premise
The photometric PCA classification correctly identifies the post-starburst galaxies and does not systematically miss those whose blue AGN light moves them into the star-forming class; if unobscured AGN are more common in the earliest quenching phase, the retained post-starburst sample could underrepresent exactly the AGN-rich objects the paper is looking for.
Editorial extensions
If this is right
- The post-starburst phase is not a phase of enhanced AGN activity; the AGN detection rate at cosmic noon is similar in quenched and passive galaxies, so black hole fueling tracks gas availability rather than the recent starburst.
- Models in which a luminous quasar phase is directly responsible for the initial quenching of massive galaxies at $z \sim 2$ must be reconciled with this null result, or must place the bright episode before the observable post-starburst phase.
- The rare X-ray-detected AGN in post-starbursts, accreting at roughly 5 per cent Eddington, are energetically sufficient to drive the observed $\sim 1000$ km/s outflows at 1–2 per cent coupling efficiency, so episodic AGN bursts can maintain quiescence without being the trigger.
- The observed correlation between mean X-ray luminosity and star-formation rate across all populations implies that AGN activity in the early universe is primarily set by fuel supply rather than by the host's recent star-formation history.
- Photometric selection can miss quenched galaxies hosting low-reddening luminous AGN, but the modelled correction, about 0.09 dex for post-starbursts, is too small to change the conclusion that AGN activity is not elevated.
Reading between the lines
- A direct test would come from a complete spectroscopic census of massive quenched galaxies at $z \sim 2$ using Balmer absorption selection, which does not depend on AGN colour; if a substantial population of blue, luminous AGN is found among spectroscopically confirmed post-starbursts beyond the modelled 30 per cent Type 1 fraction, the null result would weaken.
- The short-duty-cycle interpretation predicts a timing signature: post-starbursts should show a correlation between X-ray luminosity and time since the burst, with the highest luminosities in the youngest objects; the present sample is too small to test this, but a larger sample with better age resolution could do so.
- If the AGN burst phase is as short and stochastic as proposed, X-ray variability between two epochs should be detectable in a subset of the detected post-starbursts; a Chandra re-observation of the 25 X-ray-detected post-starbursts could test whether the AGN flicker on Myr timescales.
- Because the paper argues that AGN activity traces star-formation rate, the scatter in $L_{\rm X}/\mathrm{SFR}$ within post-starbursts may be a more sensitive probe of AGN feedback than the mean, since the feedback effect is likely to appear as an enhanced ratio in the most recently quenched objects.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses Chandra X-ray data from the UDS field to measure AGN activity in ~4000 massive (M* > 10^10.5 Msun) galaxies at 1 < z < 3, focusing on ~245 post-starburst systems identified via PCA-based super-colour photometric classification. The authors report an X-ray detection fraction of 6.2 +/- 1.5% for PSBs, between the values for star-forming (8.2 +/- 0.5%) and passive (5.7 +/- 0.8%) galaxies. In a stacking analysis, the average X-ray luminosity of PSBs is comparable to that of passive galaxies and a factor 2.6 +/- 0.3 below that of star-forming galaxies of similar stellar mass and redshift. The paper concludes that there is no evidence for excess AGN activity in the post-starburst phase, and that the low levels of AGN activity can be reconciled with observed outflows via a short AGN duty cycle of about 5%.
Significance. If the result holds, it provides an important observational constraint on AGN feedback models at cosmic noon: massive recently-quenched galaxies do not show elevated X-ray AGN activity relative to older passive systems, despite theoretical expectations of a delayed AGN phase after a starburst. The study is carefully designed, with control samples matched in stellar mass and redshift, bootstrap uncertainties from the CSTACK tool, and an appendix (Appendix A) showing that the quasar-removal criteria do not change the primary conclusions. The empirical, non-circular comparison of detection rates and stacked luminosities is a strength, and the paper is transparent about its main caveats, particularly the possible misclassification of PSBs hosting blue AGN light. The significance of the work is high for the field, as it directly addresses a key prediction of feedback models, and the null result is sharpened by the stacking analysis.
major comments (3)
- [§5, Fig. 6] The correction for AGN contamination of the photometric PSB classification rests on a chain of fixed assumptions: a single Elvis et al. (1994)/Assef et al. (2010) AGN SED, a single 'typical' PSB at z~1.5, a black-hole-to-stellar-mass ratio of 0.15%, a Milky Way reddening law, and a 30% Type 1 AGN fraction from Lawrence & Elvis (2010). Each of these is uncertain at roughly the factor-of-two level, and together they set the quoted 0.09 dex boost to the mean PSB luminosity. The detection fraction (6.2 +/- 1.5%) is more sensitive to selection than the stacked mean: if the true unobscured fraction among recently quenched galaxies is higher than 30%, or if the PSB population spans a wider range of SEDs than the single template, the remaining sample could be systematically depleted in exactly the AGN hosts being tested. The authors should present the correction as a function of the assumed Type 1 fraction (e.g., 10-70%) and a small set of alternative AGN SEDs, or use the star-forming sample to empirically bound the contamination, before concluding that the null result is robust.
- [§3, Fig. 2] The headline detection fraction for PSBs (6.2 +/- 1.5%) is formally consistent with both the passive (5.7 +/- 0.8%) and star-forming (8.2 +/- 0.5%) fractions at roughly the 1-sigma level; the difference from star-forming galaxies is 2.0 +/- 1.6 percentage points. The stronger claim of a suppressed AGN population therefore rests mainly on the stacking analysis, which combines many individually undetected galaxies. The text should state this explicitly: the 'no excess' conclusion is driven by the stacked luminosities rather than by the detection rates, and the significance of the stacked deficit should be quoted with systematic uncertainties included (e.g., from the assumed photon index and the quasar-removal choice).
- [§7.3, §4.3] The paper's own caveat that enhanced AGN activity in the earliest quenching phase (<~250 Myr after the burst) cannot be ruled out is important and should be presented more prominently, because the PSB selection averages over timescales up to ~1 Gyr and the photometric age estimates in Section 4.3 suffer from degeneracies between burst age and burst strength. As written, the abstract and conclusions could be read as ruling out a feedback-linked AGN episode in the immediate post-quenching phase, whereas the data actually constrain the average AGN properties over a heterogeneous population. I would ask the authors to either (a) state this scope limitation in the abstract and conclusions, or (b) add a stacking analysis in the narrowest age bins possible, explicitly propagating the photometric age uncertainties, so the reader can assess whether the null result extends to the first ~250 Myr.
minor comments (4)
- [§1] The word 'acitivity' in the final sentence of the introduction should be corrected to 'activity'.
- [§4.3] The text refers to 'burst times' but the quantity plotted is the time since the last burst; please harmonize the terminology and define the zero point precisely.
- [§3] The footnote states that the z>2 bin in the lower panel of Figure 2 may be incomplete and that a factor 1.2 correction would change the detection fractions; it would help if the figure or text indicated whether any correction was applied to the plotted points, and how the uncertainty in that correction was propagated.
- [§2.4] The quasar-removal criterion (L_X > 10^44 erg/s and CLASS_STAR > 0.95) is defined a priori, but the number of removed PSBs (2 out of 245) is small; it would be useful to state explicitly how the two PSBs removed are classified in the Appendix A variants, since they are the most relevant for the main comparison.
Circularity Check
No significant circularity: the X-ray detection and stacking measurements are independent of the PCA classification inputs, and the Section 5 misclassification correction is an explicit, small adjustment rather than a fitted prediction.
full rationale
The paper's central claim is an empirical comparison: the Chandra X-ray detection fraction and stacked mean luminosity of post-starburst galaxies are compared with star-forming and passive control samples of similar stellar mass and redshift. The PSB classifications are taken from the authors' earlier PCA 'super-colour' work (Wild et al. 2014; Wilkinson et al. 2021), but the X-ray measurements are independent of how those classifications were constructed. No parameter is fitted to the X-ray data and then renamed as a prediction. Section 5 discusses a possible bias from blue AGN light and applies a 'simple correction' using an external AGN SED, an assumed 30 per cent Type 1 fraction, and the assumption that missing AGN resemble detected ones; the correction boosts the PSB mean luminosity by only 0.09 dex, and Appendix A shows the conclusions are robust to alternative quasar-removal cuts. Section 7.3 explicitly states that enhanced AGN activity in the earliest quenching phase cannot be ruled out, which is a stated limitation rather than a circular step. The self-citations to the UDS PCA catalogues are appropriate prior work and are not load-bearing in the sense of a uniqueness theorem or an ansatz smuggled in via citation. No step in the derivation reduces, by construction or by self-citation, to its own inputs; therefore no circularity is identified.
Assumptions & free parameters
free parameters (5)
- Photon index for K-correction =
1.7 (assumed)
- Bolometric correction k_bol =
18 (assumed)
- Black hole to stellar mass ratio =
0.15 per cent (assumed from McLure & Dunlop 2002; Haring & Rix 2004)
- Unobscured Type 1 AGN fraction =
30 per cent (assumed from Lawrence & Elvis 2010)
- Galactic neutral hydrogen column =
2.54e20 cm^-2 (assumed from Dickey & Lockman 1990)
assumptions (6)
- domain assumption Flat Lambda-CDM cosmology with Omega_M=0.3, Omega_Lambda=0.7, H0=70 km/s/Mpc.
- domain assumption PCA super-colour classifications from Wilkinson et al. (2021) separate PSB, passive, and star-forming galaxies over 1<z<3.
- domain assumption Photometric redshifts are accurate enough for binning and stacking (sigma_NMAD=0.019).
- domain assumption X-ray luminosity is an unbiased tracer of AGN activity, meaning Compton-thick or heavily obscured AGN are not markedly overrepresented in PSBs.
- domain assumption Bayesian SED fits provide reliable SFRs and burst ages for quenched galaxies.
- domain assumption CSTACK stacking tool correctly handles Chandra PSF and source masking.
Cite this review
Pith. "Pith review of No evidence for excess AGN activity in recently quenched massive galaxies at cosmic noon." pith.science (2026). https://pith.science/paper/PN4FODB2
@misc{pith2026250415342,
author = {Pith},
title = {Pith review of: No evidence for excess AGN activity in recently quenched massive galaxies at cosmic noon},
year = {2026},
howpublished = {\url{https://pith.science/paper/PN4FODB2}},
note = {Machine review of arXiv:2504.15342}
}
abstract
We present an analysis of AGN activity within recently quenched massive galaxies at cosmic noon ($z\sim 2$), using deep Chandra X-ray observations of the Ultra-Deep Survey (UDS) field. Our sample includes over 4000 massive galaxies ($M_\ast > 10^{10.5}$ M$_{\odot}$) in the redshift range $1 < z < 3$, including more than 200 transitionary post-starburst (PSB) systems. We find that X-ray emitting AGN are detected in $6.2 \pm 1.5$ per cent of massive PSBs at these redshifts, a detection rate that lies between those of star-forming and passive galaxies ($8.2 \pm 0.5$ per cent and $5.7 \pm 0.8$ per cent, respectively). A stacking analysis shows that the average X-ray luminosity for PSBs is comparable to older passive galaxies, but a factor of $2.6 \pm 0.3$ below star-forming galaxies of similar redshift and stellar mass. The average X-ray luminosity in all populations appears to trace the star-formation rate, with PSBs showing low levels of AGN activity consistent with their reduced levels of star formation. We conclude that, on average, we see no evidence for excess AGN activity in the post-starburst phase. However, the low levels of AGN activity can be reconciled with the high-velocity outflows observed in many PSBs, assuming the rare X-ray detections represent short-lived bursts of black hole activity, visible $\sim$5 per cent of the time. Thus, X-ray AGN may help to maintain quiescence in massive galaxies at cosmic noon, but the evidence for a direct link to the primary quenching event remains elusive.
Figures
Figures from the paper (5 more)
Forward citations
Cited by 1 Pith paper
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The Delay Time Distribution of Quasi-Periodic Eruptions
QPE host galaxies are more likely to have recently formed a large burst of stars (burst mass fraction above 1%) than TDE host galaxies or mass- and redshift-matched controls.
Reference graph
Works this paper leans on
-
[1]
Aird J., et al., 2012, @doi [ ] 10.1088/0004-637X/746/1/90 , https://ui.adsabs.harvard.edu/abs/2012ApJ...746...90A 746, 90
-
[2]
Aird J., Coil A. L., Georgakakis A., 2017, @doi [ ] 10.1093/mnras/stw2932 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.3390A 465, 3390
-
[3]
Aird J., Coil A. L., Georgakakis A., 2018, @doi [ ] 10.1093/mnras/stx2700 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.474.1225A 474, 1225
-
[4]
Aird J., Coil A. L., Georgakakis A., 2019, @doi [ ] 10.1093/mnras/stz125 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.484.4360A 484, 4360
-
[5]
Alatalo K., et al., 2015, @doi [ ] 10.1088/0004-637X/798/1/31 , https://ui.adsabs.harvard.edu/abs/2015ApJ...798...31A 798, 31
-
[6]
Almaini O., et al., 2017, @doi [ ] 10.1093/mnras/stx1957 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.472.1401A 472, 1401
-
[7]
Alonso-Herrero A., P \'e rez-Gonz \'a lez P. G., Rieke G. H., Alexander D. M., Rigby J. R., Papovich C., Donley J. L., Rigopoulou D., 2008, @doi [ ] 10.1086/529010 , https://ui.adsabs.harvard.edu/abs/2008ApJ...677..127A 677, 127
-
[8]
Ashby M. L. N., et al., 2013, @doi [ ] 10.1088/0004-637X/769/1/80 , https://ui.adsabs.harvard.edu/abs/2013ApJ...769...80A 769, 80
Show all 103 references
-
[9]
J., et al., 2010, @doi [ ] 10.1088/0004-637X/713/2/970 , https://ui.adsabs.harvard.edu/abs/2010ApJ...713..970A 713, 970
Assef R. J., et al., 2010, @doi [ ] 10.1088/0004-637X/713/2/970 , https://ui.adsabs.harvard.edu/abs/2010ApJ...713..970A 713, 970
2010 doi
-
[10]
K., Glazebrook K., Brinkmann J., Ivezi \'c Z ., Lupton R
Baldry I. K., Glazebrook K., Brinkmann J., Ivezi \'c Z ., Lupton R. H., Nichol R. C., Szalay A. S., 2004, @doi [ ] 10.1086/380092 , https://ui.adsabs.harvard.edu/abs/2004ApJ...600..681B 600, 681
2004 doi
-
[11]
Belfiore F., et al., 2016, @doi [ ] 10.1093/mnras/stw1234 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.461.3111B 461, 3111
2016 doi
-
[12]
B., Ellis R
Belli S., Newman A. B., Ellis R. S., 2019, @doi [ ] 10.3847/1538-4357/ab07af , https://ui.adsabs.harvard.edu/abs/2019ApJ...874...17B 874, 17
2019 doi
-
[13]
Belli S., et al., 2024, @doi [ ] 10.1038/s41586-024-07412-1 , https://ui.adsabs.harvard.edu/abs/2024Natur.630...54B 630, 54
2024 doi
-
[14]
G., Benson A
Bower R. G., Benson A. J., Malbon R., Helly J. C., Frenk C. S., Baugh C. M., Cole S., Lacey C. G., 2006, @doi [ ] 10.1111/j.1365-2966.2006.10519.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.370..645B 370, 645
2006
-
[15]
B., van Dokkum P
Brammer G. B., van Dokkum P. G., Coppi P., 2008, @doi [ ] 10.1086/591786 , https://ui.adsabs.harvard.edu/abs/2008ApJ...686.1503B 686, 1503
2008 doi
-
[16]
Brown M. J. I., et al., 2009, @doi [ ] 10.1088/0004-637X/703/1/150 , https://ui.adsabs.harvard.edu/abs/2009ApJ...703..150B 703, 150
2009 doi
-
[17]
Brusa M., et al., 2005, @doi [ ] 10.1051/0004-6361:20041468 , https://ui.adsabs.harvard.edu/abs/2005A&A...432...69B 432, 69
2005 doi
-
[18]
Bruzual G., Charlot S., 2003, @doi [ ] 10.1046/j.1365-8711.2003.06897.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.344.1000B 344, 1000
2003
-
[19]
Bugiani L., et al., 2025, @doi [ ] 10.3847/1538-4357/adaeaf , https://ui.adsabs.harvard.edu/abs/2025ApJ...981...25B 981, 25
2025 doi
-
[20]
C., et al., 2024, @doi [ ] 10.1093/mnras/stae2092 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534..325C 534, 325
Carnall A. C., et al., 2024, @doi [ ] 10.1093/mnras/stae2092 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534..325C 534, 325
2024 doi
-
[21]
Carraro R., et al., 2020, @doi [ ] 10.1051/0004-6361/201936649 , https://ui.adsabs.harvard.edu/abs/2020A&A...642A..65C 642, A65
2020 doi
-
[22]
M., 2000, @doi [ ] 10.1086/309250 , https://ui.adsabs.harvard.edu/abs/2000ApJ...539..718C 539, 718
Charlot S., Fall S. M., 2000, @doi [ ] 10.1086/309250 , https://ui.adsabs.harvard.edu/abs/2000ApJ...539..718C 539, 718
2000 doi
-
[23]
P., Naab T., Oser L., Moster B
Choi E., Ostriker J. P., Naab T., Oser L., Moster B. P., 2015, @doi [ ] 10.1093/mnras/stv575 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.449.4105C 449, 4105
2015 doi
-
[24]
Cicone C., et al., 2014, @doi [ ] 10.1051/0004-6361/201322464 , https://ui.adsabs.harvard.edu/abs/2014A&A...562A..21C 562, A21
2014 doi
-
[25]
Cid Fernandes R., Stasi \'n ska G., Mateus A., Vale Asari N., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18244.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.413.1687C 413, 1687
2011
-
[26]
Civano F., et al., 2012, @doi [ ] 10.1088/0067-0049/201/2/30 , https://ui.adsabs.harvard.edu/abs/2012ApJS..201...30C 201, 30
2012 doi
-
[27]
E., 2010, @doi [ ] 10.1088/0004-637X/712/2/833 , https://ui.adsabs.harvard.edu/abs/2010ApJ...712..833C 712, 833
Conroy C., Gunn J. E., 2010, @doi [ ] 10.1088/0004-637X/712/2/833 , https://ui.adsabs.harvard.edu/abs/2010ApJ...712..833C 712, 833
2010 doi
-
[28]
J., et al., 2006, @doi [ ] 10.1111/j.1365-2966.2005.09675.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.365...11C 365, 11
Croton D. J., et al., 2006, @doi [ ] 10.1111/j.1365-2966.2005.09675.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.365...11C 365, 11
2006
-
[29]
D'Eugenio F., et al., 2024, @doi [Nature Astronomy] 10.1038/s41550-024-02345-1 , https://ui.adsabs.harvard.edu/abs/2024NatAs...8.1443D 8, 1443
2024 doi
-
[30]
H., Appleby S., 2019, @doi [ ] 10.1093/mnras/stz937 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.486.2827D 486, 2827
Dav \'e R., Angl \'e s-Alc \'a zar D., Narayanan D., Li Q., Rafieferantsoa M. H., Appleby S., 2019, @doi [ ] 10.1093/mnras/stz937 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.486.2827D 486, 2827
2019 doi
-
[31]
I., M \"u ller S \'a nchez F., Genzel R., Tacconi L
Davies R. I., M \"u ller S \'a nchez F., Genzel R., Tacconi L. J., Hicks E. K. S., Friedrich S., Sternberg A., 2007, @doi [ ] 10.1086/523032 , https://ui.adsabs.harvard.edu/abs/2007ApJ...671.1388D 671, 1388
2007 doi
-
[32]
L., et al., 2024, @doi [ ] 10.1093/mnras/stae327 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.4976D 528, 4976
Davies R. L., et al., 2024, @doi [ ] 10.1093/mnras/stae327 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.4976D 528, 4976
2024 doi
-
[33]
D., et al., 2023, @doi [ ] 10.3847/1538-4357/accbbf , https://ui.adsabs.harvard.edu/abs/2023ApJ...951..105D 951, 105
Davis J. D., et al., 2023, @doi [ ] 10.3847/1538-4357/accbbf , https://ui.adsabs.harvard.edu/abs/2023ApJ...951..105D 951, 105
2023 doi
-
[34]
M., Moustakas J., Tremonti C
Diamond-Stanic A. M., Moustakas J., Tremonti C. A., Coil A. L., Hickox R. C., Robaina A. R., Rudnick G. H., Sell P. H., 2012, @doi [ ] 10.1088/2041-8205/755/2/L26 , https://ui.adsabs.harvard.edu/abs/2012ApJ...755L..26D 755, L26
2012 doi
-
[35]
M., Lockman F
Dickey J. M., Lockman F. J., 1990, @doi [ ] 10.1146/annurev.aa.28.090190.001243 , https://ui.adsabs.harvard.edu/abs/1990ARA&A..28..215D 28, 215
1990
-
[36]
E., 1983, @doi [ ] 10.1086/161093 , https://ui.adsabs.harvard.edu/abs/1983ApJ...270....7D 270, 7
Dressler A., Gunn J. E., 1983, @doi [ ] 10.1086/161093 , https://ui.adsabs.harvard.edu/abs/1983ApJ...270....7D 270, 7
1983 doi
-
[37]
e U., et al., 2020, @doi [ ] 10.1093/mnras/staa769 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494.3828D 494, 3828
Dudzevi c i \= u t \. e U., et al., 2020, @doi [ ] 10.1093/mnras/staa769 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494.3828D 494, 3828
2020 doi
-
[38]
Elvis M., et al., 1994, @doi [ ] 10.1086/192093 , https://ui.adsabs.harvard.edu/abs/1994ApJS...95....1E 95, 1
1994 doi
-
[39]
C., 1999, @doi [ ] 10.1046/j.1365-8711.1999.03017.x , https://ui.adsabs.harvard.edu/abs/1999MNRAS.308L..39F 308, L39
Fabian A. C., 1999, @doi [ ] 10.1046/j.1365-8711.1999.03017.x , https://ui.adsabs.harvard.edu/abs/1999MNRAS.308L..39F 308, L39
1999
-
[40]
Fontana A., et al., 2004, @doi [ ] 10.1051/0004-6361:20035626 , https://ui.adsabs.harvard.edu/abs/2004A&A...424...23F 424, 23
2004 doi
-
[41]
D., 2021, @doi [ ] 10.1088/1538-3873/ac0a59 , https://ui.adsabs.harvard.edu/abs/2021PASP..133g2001F 133, 072001
French K. D., 2021, @doi [ ] 10.1088/1538-3873/ac0a59 , https://ui.adsabs.harvard.edu/abs/2021PASP..133g2001F 133, 072001
2021 doi
-
[42]
D., Yang Y., Zabludoff A., Narayanan D., Shirley Y., Walter F., Smith J.-D., Tremonti C
French K. D., Yang Y., Zabludoff A., Narayanan D., Shirley Y., Walter F., Smith J.-D., Tremonti C. A., 2015, @doi [ ] 10.1088/0004-637X/801/1/1 , https://ui.adsabs.harvard.edu/abs/2015ApJ...801....1F 801, 1
2015 doi
-
[43]
D., Earl N., Novack A
French K. D., Earl N., Novack A. B., Pardasani B., Pillai V. R., Tripathi A., Verrico M. E., 2023, @doi [ ] 10.3847/1538-4357/acd249 , https://ui.adsabs.harvard.edu/abs/2023ApJ...950..153F 950, 153
2023 doi
-
[44]
Furusawa H., et al., 2008, @doi [ ] 10.1086/527321 , https://ui.adsabs.harvard.edu/abs/2008ApJS..176....1F 176, 1
2008 doi
-
[45]
Georgakakis A., et al., 2008, @doi [ ] 10.1111/j.1365-2966.2008.12962.x , https://ui.adsabs.harvard.edu/abs/2008MNRAS.385.2049G 385, 2049
2008
-
[46]
Girdhar A., et al., 2024, @doi [ ] 10.1093/mnras/stad3453 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.9322G 527, 9322
2024 doi
-
[47]
H \"a ring N., Rix H.-W., 2004, @doi [ ] 10.1086/383567 , https://ui.adsabs.harvard.edu/abs/2004ApJ...604L..89H 604, L89
2004 doi
-
[48]
M., Ramos Almeida C., 2024, @doi [Galaxies] 10.3390/galaxies12020017 , https://ui.adsabs.harvard.edu/abs/2024Galax..12...17H 12, 17
Harrison C. M., Ramos Almeida C., 2024, @doi [Galaxies] 10.3390/galaxies12020017 , https://ui.adsabs.harvard.edu/abs/2024Galax..12...17H 12, 17
2024 doi
-
[49]
C., Mullaney J
Hickox R. C., Mullaney J. R., Alexander D. M., Chen C.-T. J., Civano F. M., Goulding A. D., Hainline K. N., 2014, @doi [ ] 10.1088/0004-637X/782/1/9 , https://ui.adsabs.harvard.edu/abs/2014ApJ...782....9H 782, 9
2014 doi
-
[50]
F., 2012, @doi [ ] 10.1111/j.1745-3933.2011.01179.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.420L...8H 420, L8
Hopkins P. F., 2012, @doi [ ] 10.1111/j.1745-3933.2011.01179.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.420L...8H 420, L8
2012
-
[51]
F., Hernquist L., Cox T
Hopkins P. F., Hernquist L., Cox T. J., Di Matteo T., Robertson B., Springel V., 2006, @doi [ ] 10.1086/499298 , https://ui.adsabs.harvard.edu/abs/2006ApJS..163....1H 163, 1
2006 doi
-
[52]
F., Torrey P., Faucher-Gigu \`e re C.-A., Quataert E., Murray N., 2016, @doi [ ] 10.1093/mnras/stw289 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.458..816H 458, 816
Hopkins P. F., Torrey P., Faucher-Gigu \`e re C.-A., Quataert E., Murray N., 2016, @doi [ ] 10.1093/mnras/stw289 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.458..816H 458, 816
2016 doi
-
[53]
H., et al., 1998, @doi [ ] 10.1038/28328 , https://ui.adsabs.harvard.edu/abs/1998Natur.394..241H 394, 241
Hughes D. H., et al., 1998, @doi [ ] 10.1038/28328 , https://ui.adsabs.harvard.edu/abs/1998Natur.394..241H 394, 241
1998 doi
-
[54]
Ilbert O., et al., 2013, @doi [ ] 10.1051/0004-6361/201321100 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A..55I 556, A55
2013 doi
-
[55]
J., et al., 2013, @doi [ ] 10.1093/mnras/sts118 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.1281J 428, 1281
Jarvis M. J., et al., 2013, @doi [ ] 10.1093/mnras/sts118 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.1281J 428, 1281
2013 doi
-
[56]
R., 2010, @doi [ ] 10.1111/j.1365-2966.2009.16013.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.402.1516K 402, 1516
King A. R., 2010, @doi [ ] 10.1111/j.1365-2966.2009.16013.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.402.1516K 402, 1516
2010
-
[57]
D., et al., 2017, @doi [ ] 10.3847/1538-4357/aa8566 , https://ui.adsabs.harvard.edu/abs/2017ApJ...846..112K 846, 112
Kocevski D. D., et al., 2017, @doi [ ] 10.3847/1538-4357/aa8566 , https://ui.adsabs.harvard.edu/abs/2017ApJ...846..112K 846, 112
2017 doi
-
[58]
D., et al., 2018, @doi [ ] 10.3847/1538-4365/aab9b4 , https://ui.adsabs.harvard.edu/abs/2018ApJS..236...48K 236, 48
Kocevski D. D., et al., 2018, @doi [ ] 10.3847/1538-4365/aab9b4 , https://ui.adsabs.harvard.edu/abs/2018ApJS..236...48K 236, 48
2018 doi
-
[59]
Lanz L., et al., 2022, @doi [ ] 10.3847/1538-4357/ac7d56 , https://ui.adsabs.harvard.edu/abs/2022ApJ...935...29L 935, 29
2022 doi
-
[60]
Lawrence A., Elvis M., 2010, @doi [ ] 10.1088/0004-637X/714/1/561 , https://ui.adsabs.harvard.edu/abs/2010ApJ...714..561L 714, 561
2010 doi
-
[62]
C., Wang J
Li A., 2007, in Ho L. C., Wang J. W., eds, Astronomical Society of the Pacific Conference Series Vol. 373, The Central Engine of Active Galactic Nuclei. p. 561
2007
-
[63]
T., et al., 2016, @doi [ ] 10.1093/mnrasl/slw057 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.459L.114M 459, L114
Maltby D. T., et al., 2016, @doi [ ] 10.1093/mnrasl/slw057 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.459L.114M 459, L114
2016 doi
-
[64]
T., Almaini O., Wild V., Hatch N
Maltby D. T., Almaini O., Wild V., Hatch N. A., Hartley W. G., Simpson C., Rowlands K., Socolovsky M., 2018, @doi [ ] 10.1093/mnras/sty1794 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480..381M 480, 381
2018 doi
-
[65]
T., et al., 2019, @doi [ ] 10.1093/mnras/stz2211 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.1139M 489, 1139
Maltby D. T., et al., 2019, @doi [ ] 10.1093/mnras/stz2211 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.1139M 489, 1139
2019 doi
-
[66]
Man A. W. S., et al., 2021, @doi [ ] 10.3847/1538-4357/ac0ae3 , https://ui.adsabs.harvard.edu/abs/2021ApJ...919...20M 919, 20
2021 doi
-
[67]
J., McLure R
McLeod D. J., McLure R. J., Dunlop J. S., Cullen F., Carnall A. C., Duncan K., 2021, @doi [ ] 10.1093/mnras/stab731 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.4413M 503, 4413
2021 doi
-
[68]
J., Dunlop J
McLure R. J., Dunlop J. S., 2002, @doi [ ] 10.1046/j.1365-8711.2002.05236.x , https://ui.adsabs.harvard.edu/abs/2002MNRAS.331..795M 331, 795
2002
-
[69]
E., C-COSMOS Team 2008, in AAS/High Energy Astrophysics Division \#10
Miyaji T., Griffiths R. E., C-COSMOS Team 2008, in AAS/High Energy Astrophysics Division \#10. p. 4.01
2008
-
[70]
Mountrichas G., Shankar F., 2023, @doi [ ] 10.1093/mnras/stac3211 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518.2088M 518, 2088
2023 doi
-
[71]
L., Buchner J., Salvato M., Yang G., 2023, @doi [ ] 10.1093/mnras/stad2070 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.4778N 524, 4778
Ni Q., Aird J., Merloni A., Birchall K. L., Buchner J., Salvato M., Yang G., 2023, @doi [ ] 10.1093/mnras/stad2070 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.4778N 524, 4778
2023 doi
-
[72]
M., et al., 2018, @doi [ ] 10.1093/mnras/sty589 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.477.1708P 477, 1708
Pawlik M. M., et al., 2018, @doi [ ] 10.1093/mnras/sty589 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.477.1708P 477, 1708
2018 doi
-
[74]
M., Bluck A
Piotrowska J. M., Bluck A. F. L., Maiolino R., Peng Y., 2022, @doi [ ] 10.1093/mnras/stab3673 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.1052P 512, 1052
2022 doi
-
[75]
Pozzetti L., et al., 2010, @doi [ ] 10.1051/0004-6361/200913020 , https://ui.adsabs.harvard.edu/abs/2010A&A...523A..13P 523, A13
2010 doi
-
[76]
H., et al., 2015, @doi [ ] 10.1086/682252 , https://ui.adsabs.harvard.edu/abs/2015PASP..127..584R 127, 584
Rieke G. H., et al., 2015, @doi [ ] 10.1086/682252 , https://ui.adsabs.harvard.edu/abs/2015PASP..127..584R 127, 584
2015 doi
-
[77]
Risaliti G., Maiolino R., Salvati M., 1999, @doi [ ] 10.1086/307623 , https://ui.adsabs.harvard.edu/abs/1999ApJ...522..157R 522, 157
1999 doi
-
[78]
Rodighiero G., et al., 2015, @doi [ ] 10.1088/2041-8205/800/1/L10 , https://ui.adsabs.harvard.edu/abs/2015ApJ...800L..10R 800, L10
2015 doi
-
[79]
Rowlands K., Wild V., Nesvadba N., Sibthorpe B., Mortier A., Lehnert M., da Cunha E., 2015, @doi [ ] 10.1093/mnras/stu2714 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.448..258R 448, 258
2015 doi
-
[80]
H., et al., 2014, @doi [ ] 10.1093/mnras/stu636 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.441.3417S 441, 3417
Sell P. H., et al., 2014, @doi [ ] 10.1093/mnras/stu636 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.441.3417S 441, 3417
2014 doi
- [81]
-
[82]
D., et al., 2009, @doi [ ] 10.1088/0004-637X/696/1/396 , https://ui.adsabs.harvard.edu/abs/2009ApJ...696..396S 696, 396
Silverman J. D., et al., 2009, @doi [ ] 10.1088/0004-637X/696/1/396 , https://ui.adsabs.harvard.edu/abs/2009ApJ...696..396S 696, 396
2009 doi
-
[83]
J., Blain A
Smail I., Ivison R. J., Blain A. W., 1997, @doi [ ] 10.1086/311017 , https://ui.adsabs.harvard.edu/abs/1997ApJ...490L...5S 490, L5
1997 doi
-
[84]
Smercina A., et al., 2022, @doi [ ] 10.3847/1538-4357/ac5d5f , https://ui.adsabs.harvard.edu/abs/2022ApJ...929..154S 929, 154
2022 doi
-
[85]
Stasi \'n ska G., et al., 2008, @doi [ ] 10.1111/j.1745-3933.2008.00550.x , https://ui.adsabs.harvard.edu/abs/2008MNRAS.391L..29S 391, L29
2008
-
[86]
Strateva I., et al., 2001, @doi [ ] 10.1086/323301 , https://ui.adsabs.harvard.edu/abs/2001AJ....122.1861S 122, 1861
2001 doi
-
[87]
A., Bezanson R., Spilker J
Suess K. A., Bezanson R., Spilker J. S., Kriek M., Greene J. E., Feldmann R., Hunt Q., Narayanan D., 2017, @doi [ ] 10.3847/2041-8213/aa85dc , https://ui.adsabs.harvard.edu/abs/2017ApJ...846L..14S 846, L14
2017 doi
-
[88]
Sutherland W., Saunders W., 1992, @doi [ ] 10.1093/mnras/259.3.413 , https://ui.adsabs.harvard.edu/abs/1992MNRAS.259..413S 259, 413
1992 doi
-
[89]
M., et al., 2014, @doi [ ] 10.1093/mnras/stt2273 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.438.1267S 438, 1267
Swinbank A. M., et al., 2014, @doi [ ] 10.1093/mnras/stt2273 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.438.1267S 438, 1267
2014 doi
-
[90]
Talia M., et al., 2017, @doi [ ] 10.1093/mnras/stx1788 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.471.4527T 471, 4527
2017 doi
-
[91]
G., Rowlands K., 2023, @doi [ ] 10.1093/mnras/stad1098 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.2297T 522, 2297
Taylor E., Almaini O., Merrifield M., Maltby D., Wild V., Hartley W. G., Rowlands K., 2023, @doi [ ] 10.1093/mnras/stad1098 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.2297T 522, 2297
2023 doi
-
[92]
Taylor E., Maltby D., Almaini O., Merrifield M., Wild V., Rowlands K., Harrold J., 2024, @doi [ ] 10.1093/mnras/stae2463 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.535.1684T 535, 1684
2024 doi
-
[93]
A., Moustakas J., Diamond-Stanic A
Tremonti C. A., Moustakas J., Diamond-Stanic A. M., 2007, @doi [ ] 10.1086/520083 , https://ui.adsabs.harvard.edu/abs/2007ApJ...663L..77T 663, L77
2007 doi
- [94]
-
[95]
E., Kriek M., van Dokkum P
Whitaker K. E., Kriek M., van Dokkum P. G., Bezanson R., Brammer G., Franx M., Labb \'e I., 2012, @doi [ ] 10.1088/0004-637X/745/2/179 , https://ui.adsabs.harvard.edu/abs/2012ApJ...745..179W 745, 179
2012 doi
-
[96]
Wild V., Kauffmann G., Heckman T., Charlot S., Lemson G., Brinchmann J., Reichard T., Pasquali A., 2007, @doi [ ] 10.1111/j.1365-2966.2007.12256.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.381..543W 381, 543
2007
-
[97]
Wild V., Heckman T., Charlot S., 2010, @doi [ ] 10.1111/j.1365-2966.2010.16536.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.405..933W 405, 933
2010
-
[98]
Wild V., et al., 2014, @doi [ ] 10.1093/mnras/stu212 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.440.1880W 440, 1880
2014 doi
-
[99]
Wild V., Almaini O., Dunlop J., Simpson C., Rowlands K., Bowler R., Maltby D., McLure R., 2016, @doi [ ] 10.1093/mnras/stw1996 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.463..832W 463, 832
2016 doi
-
[100]
Wild V., et al., 2020, @doi [ ] 10.1093/mnras/staa674 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494..529W 494, 529
2020 doi
-
[101]
G., Simpson C., Rowlands K., 2021, @doi [ ] 10.1093/mnras/stab965 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504.4533W 504, 4533
Wilkinson A., Almaini O., Wild V., Maltby D., Hartley W. G., Simpson C., Rowlands K., 2021, @doi [ ] 10.1093/mnras/stab965 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504.4533W 504, 4533
2021 doi
-
[102]
Wu P.-F., 2025, @doi [ ] 10.3847/1538-4357/ad98ef , https://ui.adsabs.harvard.edu/abs/2025ApJ...978..131W 978, 131
2025 doi
-
[103]
A., Faber S
Yan R., Newman J. A., Faber S. M., Konidaris N., Koo D., Davis M., 2006, @doi [ ] 10.1086/505629 , https://ui.adsabs.harvard.edu/abs/2006ApJ...648..281Y 648, 281
2006 doi
-
[104]
M., Faber S
Yesuf H. M., Faber S. M., Trump J. R., Koo D. C., Fang J. J., Liu F. S., Wild V., Hayward C. C., 2014, @doi [ ] 10.1088/0004-637X/792/2/84 , https://ui.adsabs.harvard.edu/abs/2014ApJ...792...84Y 792, 84
2014 doi
-
[105]
write newline
" write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.stat...
Reviewed August 16, 2026 · model on record in the stance chip above.
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