2606.09413v1 · First listed 2026-06-09

Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

Mi Chen, Lingyu Wang, Berta Margalef-Bentabol, Katarzyna Małek, Brivael Laloux, Antonio La Marca

Theme match 3/5

Across 21,428 COSMOS-Web galaxies, two SED codes and deep-learning imaging agree well when AGN light is negligible but diverge sharply for AGN-significant systems. Imaging-constrained refits can materially shift host properties despite acceptable photometric fits. [1][3][6]

Evidence

The authors combine UV–far-IR photometry with CIGALE and GRAHSP SED decompositions and an independent deep-learning (DL) image decomposition, measuring the AGN contribution specifically in JWST/NIRCam F150W. In the 21,428-object parent sample, 82.4% are AGN-negligible in both SED codes; 86.4% of that subset is also negligible in DL. Conversely, 15.0% of sources receive inconsistent CIGALE/GRAHSP classifications, and GRAHSP calls an AGN significant in four-fifths of those cases. Only 2.7% are significant in both SED fits; of these, 40% have close fraction agreement. Just 7.6% of the dual-SED-significant subset is also DL-significant, with ten systems quantitatively concordant across all three methods. These are cross-method consistency rates, not a calibrated truth test. For 20 AGN-dominant galaxies, fixing CIGALE to the DL fraction gave maximum shifts of 1.27 dex in stellar mass, 0.69 dex in attenuation, 0.81 dex in SFR, and 0.52 dex in reduced χ². [1][3][4][5][6]

Earlier work

A concrete methodological comparison is available from JWST AGN–host image fitting: a two-component Sérsic-host plus point-source model is intended to prevent nuclear light from being assigned to the bulge, but PSF-subtraction residuals and weak outer wings can leave a broad range of acceptable host sizes, Sérsic indices, and AGN/host ratios. The present work differs by using DL imaging fractions as an external constraint on broadband SED decomposition rather than presenting a conventional parametric image-fit comparison. This supports the motivation for independent morphology, but does not establish that either imaging approach supplies ground-truth AGN fractions. [17][16][1]

What changes

The paper’s stated contribution is a unified, F150W-defined comparison framework linking two independent SED codes to DL morphology, followed by controlled refits at the DL fraction. Rather than treating an SED-only AGN detection as definitive, it separates agreement for low-AGN objects from disagreement in the AGN-significant regime and quantifies the resulting sensitivity of mass, dust attenuation, and SFR. For DL-significant but SED-negligible systems, roughly 30% of forced DL-fraction refits lack physically plausible solutions, judged by elevated reduced χ²; the authors report no clear relation between refit success and parameter shifts. [1][6][7]

Limits and open questions

The supplied material does not provide redshift, flux/S/N completeness, DL training/validation, image-PSF systematics, or posterior uncertainty distributions, so method accuracy and selection dependence cannot be assessed here. “Physically plausible” forced fits are inferred from fit quality rather than independently confirmed AGN fractions. The maximum host-property changes demonstrate sensitivity in a selected 20-object refit sample, not a population-wide bias or a causal effect of AGN activity. [6][7][1]

Evidence includes the target abstract, conclusion/refit extracts, and supplied figure captions, but not the full methods, DL training and validation, sample-selection details, or uncertainty tables.

Key figures

Figure 2

Tests direct CIGALE–GRAHSP consistency in F150W AGN fraction for all 21,428 galaxies, partitioning jointly negligible, mixed, and jointly significant classifications around the one-to-one relation.

Original caption

Figure 2: Comparison of f AGN f_{\mathrm{AGN}} from CIGALE and GRAHSP. Grey dots represent the parent sample ( N = 21,428 N=21,428 ), with point transparency scaled by local source density (number of sources per two-dimensional bin in the f AGN f_{\mathrm{AGN}} plane). The orange diagonal line indicates perfect agreement (one-to-one relation). Coloured background regions delineate the sample classification: Region A (green) denotes both-negligible galaxies; Regions B+C (yellow and red) denote mixed-detection galaxies; Regions D+E (orange and blue) denote both-significant galaxies with scattered and consistent AGN fractions, respectively.

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Figure 3

Tests whether DL fractions corroborate SED fractions among galaxies deemed AGN-significant by both SED codes, while distinguishing scattered from mutually consistent SED cases and marking the DL 5σ threshold.

Original caption

Figure 3: AGN contribution fractions derived from SED and DL are compared for galaxies in Regions D and E of Fig. 2 . The left panel compares f AGN C f_{\mathrm{AGN}}^{\mathrm{C}} with f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} , while the right panel shows f AGN G f_{\mathrm{AGN}}^{\mathrm{G}} versus f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} . The histograms show the 1D distribution of f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} for each samples. The orange diagonal indicates the one-to-one relation. The grey dashed horizontal line marks the 5 ​ σ 5\sigma threshold from 37 . The blue shaded region marks where GRAHSP and CIGALE show reasonable agreement (see text for details). Triangles correspond to galaxies in Region D, while the circles correspond to those in Region E. Galaxies that are identified as AGN-significant by both SED and DL are colour-coded according to their normalised χ ν 2 \chi^{2}_{\nu} , while grey points below the 5 ​ σ 5\sigma threshold indicate systems with negligible f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} .

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Figure 5

Tests the sensitivity of CIGALE fit quality, stellar mass, attenuation, and SFR to imposing DL-derived AGN fractions in refits; it is the basis for the reported maximum parameter and reduced-χ² shifts.

Original caption

Figure 5: Relationship between the change in AGN fraction Δ ​ f AGN \Delta f_{\mathrm{AGN}} (difference between old/new CIGALE fits) and corresponding changes in fit quality (reduced χ 2 \chi^{2} ) and physical parameters (stellar mass, dust attenuation, and SFR) after refitting with DL-constrained AGN fractions f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} is shown. The exact values of f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} are indicated in the top panel.

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Related research

Previous digest

This paper builds a practical AGN-host decomposition framework for COSMOS-Web galaxies by combining UV-to-FIR SED fitting with two independent codes, CIGALE and GRAHSP, and comparing their inferred AGN fractions in JWST/NIRCam F150W against deep-learning image decomposition. The key result is that all methods agree well for AGN-negligible systems, but they diverge strongly once a galaxy looks AGN-significant, exposing substantial template-driven degeneracies in current photometric SED decompositions. The paper quantifies that split: 82% of galaxies are classified as AGN-negligible by both SED codes, and 87% of those are also negligible in the imaging-based estimate, whereas only 2.7% show consistent significant AGN identification between the two SED codes and just 7.6% of those are also significant in the deep-learning decomposition. That matters because the imaging information provides an independent morphological prior on unresolved nuclear light, making AGN fractions and derived host properties more robust than SED fitting alone in the ambiguous regime.

Sources and evidence (22)
  1. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    abstract · abstract

    Decomposing active galactic nucleus (AGN) emission from host-galaxy light is essential for identifying AGN-dominated systems and accurately deriving host-galaxy physical properties. However, estimating AGN contributions from multi-wavelength photometry remains challenging due to inherent parameter degeneracies in spectral energy distribution (SED) fitting. In this work, we establish a unified framework for estimating AGN contribution fractions and host-galaxy properties by combining complementary diagnostics: SED decomposition with two independent fitting codes, CIGALE and GRAHSP, and deep-learning-based imaging decomposition. We apply this framework to galaxies in the COSMOS-Web field using multi-wavelength photometry from the ultraviolet to the far-infrared. We calculate the AGN contribution fraction in the JWST/NIRCam F150W filter and compare the SED-derived estimates with independent AGN fractions obtained from deep-learning image decomposition. Our results reveal significant degeneracies in current SED-fitting approaches based on empirical or theoretical AGN templates and demonstrate that incorporating independent morphological information can help break these degeneracies and improve the reliability of AGN and host-galaxy property estimates.
  2. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    S5.SS1: 5.1 AGN-significant galaxies: CIGALE refitting with f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} / block 1 · html

    Figure 5 illustrates the differences in reduced χ 2 \chi^{2} and key physical parameters between the original fits (open symbols) and the refitted results (black-edged symbols), colour-coded by f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} . Despite a maximum variation of 0.4 in f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} , AGN fraction constraints produce generally only modest changes in derived physical parameters and goodness-of-fit: maximum variations are 1.27 dex (stellar mass), 0.69 dex (dust attenuation), 0.81 dex (SFR), and 0.52 dex (reduced χ 2 \chi^{2} ). While adopting f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} leads to a slight increase in χ ν 2 \chi^{2}_{\nu} , the resulting fits remain physically plausible and consistent with the observed photometry. The corresponding refitting SED-fitting results and parameters are shown in Fig. 11 and listed in Table 5 .
  3. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    S6: 6 Conclusions / block 1 · html

    Strong agreement for AGN-negligible galaxies. The three AGN identification methods demonstrate remarkable consistency for low-AGN systems. Specifically, 82.4% of the entire sample is identified as AGN-negligible by both CIGALE and GRAHSP, with 86.4% of these cases also showing a minimal AGN contribution according to the DL imaging analysis. This high concordance suggests that SED fitting and imaging methods reliably identify pure galaxy systems.
  4. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    S6: 6 Conclusions / block 1 · html

    Discrepancies increase systematically for AGN-dominant scenarios. When comparing f AGN f_{\mathrm{AGN}} from the two SED codes, we find that 15.0% of the sources are inconsistent between CIGALE and GRAHSP. Strikingly, in four-fifths of these inconsistent cases, GRAHSP identifies a significant AGN component where CIGALE does not, indicating a systematic tendency for GRAHSP to favor higher AGN fractions. Only 2.7% of the galaxies are classified as AGN-significant by both SED codes. Within this subset, only 40% show tight quantitative agreement, while the remaining 60% exhibit substantial scatter, indicating uncertain AGN characterisation even when both codes agree on AGN presence.
  5. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    S6: 6 Conclusions / block 1 · html

    Agreement remains limited when incorporating the DL predictions. Among galaxies identified as AGN-significant by both SED fitting, only 7.6% are consistently classified as hosting a significant AGN by the DL method. Furthermore, within this small subset, only ten galaxies exhibits robust quantitative agreement across all three methods.
  6. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    S6: 6 Conclusions / block 1 · html

    Re-running CIGALE by fixing f AGN f_{\mathrm{AGN}} to the DL-estimated value for 20 AGN-dominant galaxies yielded statistically acceptable fits, with a maximum reduced χ 2 \chi^{2} shift of 0.52 dex. Fixing the f AGN f_{\mathrm{AGN}} value resulted in maximum parameter variations of 1.27 dex in stellar mass, 0.69 dex in attenuation, and 0.81 dex in SFR.
  7. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    S6: 6 Conclusions / block 1 · html

    For galaxies with negligible f AGN SED f_{\mathrm{AGN}}^{\mathrm{SED}} but significant f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} , we find that ∼ \sim 30% fail to yield a physically plausible solution when refitted with f AGN C ​ _ ​ DL f_{\mathrm{AGN}}^{\mathrm{C\_DL}} , as evidenced by their elevated reduced χ 2 \chi^{2} . Furthermore, we observe no clear correlation between the success of these refits and the magnitude of the resulting shifts in physical parameters.
  8. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    A4: Appendix D SED fitting results and galaxy imaging for the AGN-significant and -negligible samples / block 1 · html

    Table 5 presents the SED-fitting parameters for 30 AGN-significant galaxies identified by CIGALE, GRAHSP, and DL. For each physical parameter, we report results from both SED methods. Values in brackets correspond to the CIGALE refits with f AGN f_{\mathrm{AGN}} fixed to the DL estimates.
  9. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    A4: Appendix D SED fitting results and galaxy imaging for the AGN-significant and -negligible samples / block 1 · html

    Figure 11 presents the four randomly selected example galaxies that are identified as AGN-significant by the DL prediction and both SED decompositions. Galaxies with IDs 963088, 283630, and 428464 exhibit relatively larger scatter in f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} compared to f AGN SED f_{\mathrm{AGN}}^{\mathrm{SED}} , and therefore undergo refitting with a fixed f AGN DL f_{\mathrm{AGN}}^{\mathrm{DL}} value as described in Sect 5.1 . The change in reduced χ 2 \chi^{2} is indicated in the titles of each sub-plot, and the dashed lines denote the refitted SED results. Figure 12 shows four randomly selected galaxies from the subsample with negligible AGN contributions according to the DL prediction and both SED decompositions.
  10. 2606.09413v1: Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties

    A4: Appendix D SED fitting results and galaxy imaging for the AGN-significant and -negligible samples / block 1 · html

    Table 5: Galaxy properties of 30 AGN-significant galaxies identified by all three methods.
  11. 2504.01852v1: Deciphering the Nature of Virgil: An Obscured AGN Lurking Within an Apparently Normal Lyman-α Emitter During Cosmic Reionization

    S5.SS2: V.2 Results from SED fitting / block 1 · html

    When including an AGN component, both Synthesizer-AGN and Prospector consistently yield log 10 ⁡ ( M ⋆ / M ⊙ ) ≈ 9 \log_{10}(M_{\star}/M_{\odot})\approx 9 , although Bagpipes retrieves a significantly lower stellar mass by ≈ 1 \approx 1 dex: log 10 ⁡ ( M ⋆ / M ⊙ ) = 7.92 \log_{10}(M_{\star}/M_{\odot})=7.92 . Similarly, CIGALE finds log 10 ⁡ ( M ⋆ / M ⊙ ) = 8.50 \log_{10}(M_{\star}/M_{\odot})=8.50 . Notably, Bagpipes predicts a stellar age of t age = 400 − 260 + 260 t_{\mathrm{age}}=400_{-260}^{+260} Myr, consistent with both CIGALE and Prospector within the uncertainties ( t age ≈ 400 − 600 t_{\mathrm{age}}\approx 400-600 Myr). However, its mass-weighted age, from Bagpipes , is only 4 − 3 + 2 4_{-3}^{+2} Myr, indicating that a substantial fraction of the stellar mass formed recently, which is consistent with a very recent burst of star formation.
  12. 2504.01852v1: Deciphering the Nature of Virgil: An Obscured AGN Lurking Within an Apparently Normal Lyman-α Emitter During Cosmic Reionization

    S5.SS2: V.2 Results from SED fitting / block 1 · html

    Interestingly, both Synthesizer-AGN and Prospector , when invoking an AGN, predict A V ≈ 2 − 4 A_{V}\approx 2-4 . In particular, Synthesizer-AGN predicts A V ≈ 0.74 A_{V}\approx 0.74 mag for the young population ( t age ≈ 10 t_{\mathrm{age}}\approx 10 Myr), in line with our estimate from NIRSpec/PRISM data, and A V ≈ 2.40 A_{V}\approx 2.40 for the older population ( t age ≈ 32 t_{\mathrm{age}}\approx 32 Myr). Similarly, Bagpipes and CIGALE yield A V A_{V} values consistent with those inferred from Balmer lines tracing the young population. Across all fits, the metallicity remains consistent at 10 10 – 20 % , Z ⊙ 20\%,Z_{\odot} , in agreement with our spectroscopic constraints.
  13. 2503.19915v1: A New Hope for Obscured AGN: The PRIMA-NewAthena Alliance

    S5: 5 Discussion / block 2 · html

    mprovement in constraining the AGN and host galaxy properties provided when incorporating four additional FIR filters. B24 showed that we can effectively recognise AGN by using the PRIMA coverage to measure the shape of the IR dust continuum. B24 simulated PRIMA observations of “normal” and active galaxies over a large range of AGN fractions, IR luminosities, PAH contribution, dust properties, and redshifts and performed SED-fitting to investigate PRIMA capabilities in recovering the source properties. In particular, exploiting PHI, PPI1, and PPI2 filters, B24 were able to retrieve the AGN fraction with a dispersion of 0.06, the fraction of dust mass in PAH with a precision of ∼ 10 % \sim 10\% , and the IR luminosity with a scatter of 0.1 dex.
  14. 2503.19915v1: A New Hope for Obscured AGN: The PRIMA-NewAthena Alliance

    S5: 5 Discussion / block 2 · html

    rily imply detections in all bands; if the flux plus noise fell below the band sensitivity threshold, the corresponding photometric point was treated as a non-detection. We found that with PRIMA coverage we can recover (within 0.1 dex of the true value) the bolometric luminosity for 75 % 75\% of our sources and for 63 % 63\% of those at z ≥ 3 z\geq 3 , a significant improvement over the 18 − 20 % 18-20\% of the sources without mid-IR and far-IR coverage. We also expect PRIMA to double the number of sources with reliable SFR (within 0.1 dex of the true value), with the fraction increasing from ∼ 32 % \sim 32\% to 63 % 63\% . We run further simulations focusing on sources at 6 ≤ z ≤ 8 6\leq z\leq 8 . We found that using PRIMA photometric bands, we measure bolometric luminosity within 0.1 dex of the true value for ∼ 30 % \sim 30\% of the simulated objects. More importantly, for the majority of sources with log ⁡ ( L bolo / erg ​ s − 1 ) ≥ 45 \log{(L_{\text{{bolo}}}/\rm{erg\,s^{-1}})}\geq 45 , the measured L bolo L_{\text{{bolo}}} is within 0.3 dex of the true value. Specifically, for sources with 45 ≤ log ⁡ ( L bolo / erg ​ s − 1 ) < 46 45\leq\log{(L_{\text{{bolo}}}/\rm{erg\,s^{-1}})}<46 , we obtain an average offset of log ⁡ L bolo sed − log ⁡ L bolo true = 0.24 ± 0.30 \log{L_{\rm{bolo}}^{\rm{sed}}}-\log{L_{\rm{bolo}}^{\rm{true}}}=0.24\pm 0.30 , similar to the bayesian uncertainties associated to the measured values. Considering the last two redshift bins in Fig. 5 ( 6 ≤ z < 7 6\leq z<7 and 7 ≤ z < 8 7\leq z<8 ), we can see that all the bolometric luminosity bins that we are able to populate with PRIMA are at log ⁡ ( L bolo / L ⊙ ) ≥ 11.5 \log{(L_{\text{{bolo}}}/\rm{L_{\odot}})}\geq 11.5 , or equivalently to log ⁡ ( L bolo / erg ​ s − 1 ) ≥ 45 \log{(L_{\text{{bolo}}}/\rm{erg\,s^{-1}})}\geq 45 . Therefore, we are confident that PRIMA will not only be able to detect sources up to z ∼ 8 z\sim 8 , but also to measure their L bolo L_{\text{{bolo}}} with reasonable accuracy, enabling us to reconstruct the bolometric LFs and BHAD even at these high redshifts.
  15. 2502.10271v1: The Rich JWST Spectrum of the Western Nucleus of Arp 220: Shocked Hot Core Chemistry Dominates the Inner Disk

    abstract · abstract

    We present full 3-28 $\mathrm{μm}$ JWST MIRI/MRS and NIRSpec/IFU spectra of the western nucleus of Arp 220, the nearest ultraluminous infrared galaxy. This nucleus has long been suggested to possibly host an embedded Compton-thick AGN. Millimeter observations of the dust continuum suggest the presence of a distinct 20 pc core with a dust temperature of $T_\mathrm{d} \gtrsim 500~\mathrm{K}$, in addition to a 100 pc circumnuclear starburst disk. However, unambiguously identifying the nature of this core is challenging, due to the immense obscuration, the nuclear starburst activity, and the nearby eastern nucleus. With the JWST integral field spectrographs, we can, for the first time, separate the two nuclei across this full wavelength range, revealing a wealth of molecular absorption features towards the western nucleus. We analyse the rovibrational bands detected at 4-22 $\mathrm{μm}$, deriving column densities and rotational temperatures for 10 distinct species. Optically thick features of C$_2$H$_2$, HCN and HNC suggest that this molecular gas is hidden behind a curtain of cooler dust, and indicate that the column densities of C$_2$H$_2$ and HCN are an order of magnitude higher than previously derived from Spitzer observations. We identify a warm HCN component with rotational temperature $T_\mathrm{rot} = 330~\mathrm{K}$, which we associate with radiative excitation by the hot inner nucleus. We propose a geometry where the detected molecular gas is located in the inner regions of the starburst disk, directly surrounding the hot 20 $\mathrm{pc}$ core. The chemical footprint of the western nucleus is reminiscent of that of hot cores, with additional evidence for shocks. Despite the molecular material's close proximity to the central source, no evidence for the presence of an AGN in the form of X-ray-driven chemistry or extreme excitation is found.
  16. 2510.27214v1: AGN--Host Galaxy Image Decomposition with JWST

    S6: VI Discussion / block 1 · html

    Figure 9 highlights three “Good Fits” of SDSS1420+5300A. All three fits do a reasonably good job of modeling the radial profile of the host galaxy; however, the models span a wide range of effective radii, Sérsic indices, and AGN-to-host flux ratios. For this example, we find that the R Host = 20 R_{\mathrm{Host}}=20 model tends to underestimate the surface brightness of the central region, spiral arms, and extended wings of the source, while the larger radii models tend to model the bar and spiral arms more accurately, but overestimate the central region and wings. While the specifics vary from source to source, it is consistently true that the most important regions for constraining the Sérsic profile are the central pixels and the extended wings. As previously discussed, the central region is significantly influenced by residual effects from the AGN subtraction, making constraining the profile difficult. The extended wings of the source contribute very little to the overall χ ν 2 \chi^{2}_{\nu} of the fit—in Figure 9 , which shows minor but clear under- and over-subtraction of the extended wings between models, the χ ν 2 \chi^{2}_{\nu} of the three models differs by < 1 % <1\% . Thus, the shape of the profile is dominated by the region outside of the FWHM of the PSF, nearer to the effective radius. The larger distribution of profiles shown in Figure 8 demonstrate significant overlap in this region, leading to a wide range of “valid” fit parameters.
  17. 2510.27214v1: AGN--Host Galaxy Image Decomposition with JWST

    S4: IV Fitting Process / block 1 · html

    Now that we have identified our AGN candidates and constructed PSF models, we can proceed to fitting our sources. We apply both Galfit and AstroPhot in order to compare the results between two often used 2D photometric fitting software packages. We follow the same process for both; we use a two-component model, with a Sérsic profile representing the host galaxy and a point-source model representing the AGN. By fitting the Sérsic and point-source components simultaneously, we can effectively disentangle the light from each source with minimal contamination. If the light from the central AGN is left unaccounted for, light is misattributed to the bulge, thus artificially inflating the Sérsic index and contaminating the characterization of morphology along with any galaxy magnitude or size measurement. Two-component fitting such as this is standard and has been thoroughly tested across both 1D and 2D-fitting [ 29 , 45 ] .
  18. 2507.17738v1: Beyond the Dot: an LRD-like nucleus at the Heart of an IR-Bright Galaxy and its implications for high-redshift LRDs

    abstract · abstract

    Little Red Dots (LRDs) are compact, red sources discovered by JWST at high redshift ($z \gtrsim 4$), marked by distinctive "V-shaped" spectral energy distributions (SEDs) and often interpreted as rapidly accreting AGNs. Their evolution remains unclear, as identifying counterparts at lower redshifts is challenging. We present WISEA J123635.56+621424.2 (here dubbed {\it the Saguaro}), a $z=2.0145$ galaxy in GOODS-North, as a possible analog of high-redshift LRDs and a potential missing link in their evolutionary path toward lower-redshift systems. It features a compact LRD-like nucleus surrounded by a face-on spiral host. Its connection to LRDs includes that: (1) its nuclear spectrum shows a clear "V-shaped" SED; and (2) when redshifted to $z=7$, surface brightness dimming makes the host undetectable, thus mimicking an LRD. This suggests that high-redshift LRDs may be embedded in extended hosts. To test this, we stack rest-frame UV images of 99 photometrically selected LRDs, revealing faint, diffuse emission. Stacking in redshift bins reveals mild radial growth, consistent with the expected galaxy size evolution. A simple analytic model confirms that surface brightness dimming alone can explain their compact appearance. Lastly, we show that {\it the Saguaro} is not unique by describing similar objects from the literature at $z\lesssim3.5$. Taken together, our results support a scenario in which LRDs may not be a distinct population, but could be the visible nuclei of galaxies undergoing a short-lived, AGN-dominated evolutionary phase, with their compact, red appearance driven largely by observational biases.
  19. 2506.05459v1: RUBIES: A Spectroscopic Census of Little Red Dots; All V-Shaped Point Sources Have Broad Lines

    S6: 6 Summary / block 1 · html

    We present one of the largest spectroscopic samples of broad Balmer line sources at high redshift to date, including 80 robust detections at z > 3.1 z>3.1 , 28 (35%) of which lie at z > 6 z>6 . Our detections are enabled by the unite package, which combines multiple NIRSpec spectra, i.e. the PRISM and G395M spectra, simultaneously to model emission lines and continua. This approach leverages the signal-to-noise of the PRISM and the resolution of G395M to identify kinematic components of emission lines, overcoming limitations of single-disperser analyses.
  20. 2506.05459v1: RUBIES: A Spectroscopic Census of Little Red Dots; All V-Shaped Point Sources Have Broad Lines

    S6: 6 Summary / block 1 · html

    The majority of sources with (spectroscopic) v-shaped continua also show a dominant point source component at rest-optical wavelengths. Remarkably, we robustly detect broad Balmer emission lines for upwards of 80% of these sources, with the remainder being inconclusive primarily due to data shortcomings. Similarly, the majority of sources with v-shaped continua show broad Balmer emission lines. Of this population, 80% also show a prominent point-source component in rest-optical imaging.
  21. 2510.26884v1: Constraining the AGN tori at cosmic noon using high-resolution JWST imaging and simultaneous SED fitting

    abstract · abstract

    There is evidence for significant evolution in the gaseous and dust properties of galaxies since the era of cosmic noon ($1\lesssim z\lesssim 2.5$). The well known co-evolution of supermassive black holes with their host galaxies suggests a constant connection between the small-scale (nuclear) and large-scale regions of galaxies. A fundamental component of Active Galactic Nuclei (AGN) is the "torus", a dense, dusty structure that acts as the interface between the accretion disc and the ISM of the host galaxy. The transitional nature of the torus makes it a prime subject to search for evolution since cosmic noon. We use high-resolution near- and mid-IR imaging from the JWST CEERS program to disentangle the emission from the torus in unprecedented detail for 88 X-ray selected AGN at $z\sim2$. We employ a novel SED fitting technique that combines archival low-resolution multi-band photometry at UV to FIR wavelengths with the new high-resolution JWST photometry to constrain essential AGN and torus parameters, such as accretion disc luminosity, torus opening angle, and inclination angle. We demonstrate that this SED fitting approach leads to better AGN characterisation and tighter constraints on AGN parameters. The population-level analysis finds that the Covering Fraction ($CF$) distribution peaks at $\approx0.25$ with a long tail towards higher $CF$. Despite the well-known evolution of the ISM and structural properties of AGN hosts to these redshifts, the $CF$ distribution of our sample does not show any strong statistical difference with that found in local AGN of equivalent luminosity, or with those at intermediate redshifts.
  22. 2503.03547v1: Exploring the physical properties of Type II Quasar candidates at intermediate redshifts with CIGALE

    abstract · abstract

    Active Galactic Nuclei (AGN) significantly influence galaxy evolution. Specific sources such as obscured AGNs, especially Type II quasars (QSO2), still remain understudied. We characterise 366 QSO2 candidates in the redshift desert (median z~1.1) identified via machine learning from SDSS/WISE photometry, analysing their spectral energy distributions (SEDs) and deriving their physical properties. Using CIGALE, we estimated star formation rate (SFR), stellar mass (M), AGN luminosity, and AGN fraction. We compared these with SPRITZ simulations and the literature, placing results in the galaxy evolution context. Our QSO2 candidates show diverse evolutionary stages. The SFR-M diagram reveals high-SFR sources above the main sequence, linking AGN activity to enhanced star formation. Quenched galaxies may indicate obscured star formation or AGN feedback. Additionally, the physical properties align with SPRITZ composite systems and AGN2, endorsing our obscured AGN classification. This study validates machine learning for identifying AGN-host galaxies, beyond traditional colour-colour selections. Diverse candidate properties highlight this method's ability to identify complex AGN systems. This advances our understanding of AGN-driven galaxy evolution with new target selection.
Abstract

Decomposing active galactic nucleus (AGN) emission from host-galaxy light is essential for identifying AGN-dominated systems and accurately deriving host-galaxy physical properties. However, estimating AGN contributions from multi-wavelength photometry remains challenging due to inherent parameter degeneracies in spectral energy distribution (SED) fitting. In this work, we establish a unified framework for estimating AGN contribution fractions and host-galaxy properties by combining complementary diagnostics: SED decomposition with two independent fitting codes, CIGALE and GRAHSP, and deep-learning-based imaging decomposition. We apply this framework to galaxies in the COSMOS-Web field using multi-wavelength photometry from the ultraviolet to the far-infrared. We calculate the AGN contribution fraction in the JWST/NIRCam F150W filter and compare the SED-derived estimates with independent AGN fractions obtained from deep-learning image decomposition. Our results reveal significant degeneracies in current SED-fitting approaches based on empirical or theoretical AGN templates and demonstrate that incorporating independent morphological information can help break these degeneracies and improve the reliability of AGN and host-galaxy property estimates.

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