Pith. sign in

REVIEW 1 major objections 5 minor 63 references

Radio Properties of Narrow-Line and Broad-Line Seyfert 1 Galaxies

T0 review · 1 major / 5 minor · reviewed 2026-08-14 · deepseek-v4-flash

Pith's one-line read The paper finds that narrow-line Seyfert 1 galaxies are intrinsically fainter, less radio-loud, and slightly steeper-spectrum radio emitters than broad-line Seyfert 1 galaxies, with the difference surviving checks for variability and…

desk verdict A careful large-sample radio census of NLS1/BLS1 with a real variability caveat on the FIRST–VLASS baseline; deserves peer review and a cite. read the letter →

arxiv 2608.13303 v1 pith:QPTCY3CE submitted 2026-08-13 astro-ph.GA

classification astro-ph.GA
keywords narrow-lineSeyfert1galaxiesbroad-lineradioloudnessspectralindexactivegalacticnucleiFIRSTsurveyVLASSstarformationrate
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper compares the radio properties of 22,590 narrow-line Seyfert 1 (NLS1) galaxies and 51,997 broad-line Seyfert 1 (BLS1) galaxies drawn from Sloan Digital Sky Survey spectra, cross-matching them with the FIRST survey at 1.4 GHz and two separate epochs of the VLASS survey at 3 GHz. It reports lower 1.4-GHz radio detection rates, lower median radio loudness, lower median 1.4-GHz radio power, and slightly steeper radio spectra for the NLS1 sample. Because the same differences appear with both VLASS epochs and survive redshift-matched resampling and Monte Carlo uncertainty tests, the authors conclude these are genuine population-level differences in AGN-related radio emission rather than artifacts of source variability or redshift selection. The result matters because NLS1 galaxies are thought to host relatively low-mass black holes accreting near the Eddington limit, making their radio behavior a direct probe of how such systems launch and sustain radio jets.

What carries the argument

The central machinery is a uniform two-frequency radio photometry built from FIRST detections at 1.4 GHz matched within 5 arcseconds and VLASS detections at 3 GHz matched within 1.5 arcseconds in two separate epochs. This yields per-source two-point radio spectral indices, defined by $S\propto\nu^{\alpha}$, which replace the single assumed spectral index used in earlier work and allow individual estimates of the expected 5-GHz flux density, radio loudness, and $K$-corrected 1.4-GHz radio power. Robustness is established by perturbing spectral indices according to their uncertainties in Monte Carlo simulations, by comparing full and $z>0.3$ redshift-limited samples, by redshift-matched resampling, and by comparing star formation rates estimated from the 1.4-GHz radio power and from WISE 12 $\mu$m luminosities to identify which sources require an AGN contribution to their radio emission.

What would settle it

Apply the same reddening and classification screens that the paper applies only to the five most radio-loud NL1 objects—H$\alpha$/H$\beta$ ratios, host-galaxy spectral decomposition, and infrared AGN diagnostics—to every FIRST+VLASS-detected NL1 source; if the median radio loudness, radio-loud fraction, and spectral-index gap between NL1 and BL1 disappear after removing reclassified objects, the population-level claim fails.

Watch

Extended reading notes

Core claim

Narrow-line Seyfert 1 galaxies are fainter radio emitters than broad-line Seyfert 1 galaxies after accounting for redshift distributions, measurement uncertainties, and source variability across two independent VLASS epochs. The median radio loudness of the NL1 sample is about 7–9 compared with about 20 for BL1, the radio-loud fraction is lower, the median 1.4-GHz radio power is lower, and the median 1.4–3 GHz spectral index is steeper (≈−0.5 versus ≈−0.3). More than half of the FIRST- and VLASS-detected galaxies in both samples show radio emission in excess of what star formation alone can explain, so the differences are attributed to the AGN central engine rather than to differing host-galaxy star formation rates.

Load-bearing premise

The parent optical classification of all 22,590 NLS1 galaxies must be accurate; if obscured type 2 AGN or starbursts are preferentially misclassified as NLS1 in the radio-loud tail, the reported lower radio loudness, lower radio power, and steeper spectra of NLS1 galaxies could be partly artificial.

Editorial extensions

If this is right

  • NLS1 galaxies are less radio-loud and less often radio-loud than BLS1 galaxies, so radio loudness is a real observational discriminator between the two Seyfert 1 classes.
  • The steeper median spectral index of NLS1 sources implies their radio emission is, on average, somewhat more extended or optically thinner than that of BLS1 sources at 1.4–3 GHz.
  • Because the differences persist in both VLASS epochs, individual source variability does not drive the population-level radio gap.
  • More than half of the FIRST/VLASS-detected galaxies in both samples require an AGN contribution to their radio emission, meaning the NLS1/BLS1 differences are not a byproduct of differing star formation rates.
  • Within each optical class, the optically fainter Seyfert 1 galaxies have higher median radio loudness than the optically brighter type 1 quasars, even though their radio powers are lower, suggesting that galaxy light dilutes the optical flux and inflates radio loudness for fainter hosts.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If optical misclassification extends beyond the screened radio-loud tail, the NLS1/BLS1 radio gap could shrink; a full spectroscopic re-inspection of radio-detected NL1 sources, applying the same H$\alpha$/H$\beta$ and AGN diagnostics used only for the most radio-loud objects, would settle this.
  • The per-source spectral indices presented here could be combined with future VLASS single-epoch products to test whether the steeper NLS1 spectra arise from young, compact peaked-spectrum jets rather than extended radio lobes; this is a natural follow-up the paper does not explore.
  • If the population-level difference is confirmed, it suggests that low-mass, super-Eddington accreting black holes in NLS1 galaxies have a lower jet production efficiency or shorter radio jet duty cycle than their broad-line counterparts, a connection that could be tested by plotting radio loudness against Eddington ratio within these samples.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

1 major / 5 minor

Summary. The paper compares the radio properties of large optically selected samples of narrow-line (NL1) and broad-line (BL1) Seyfert 1 galaxies taken from Paliya et al. (2024), cross-matched with FIRST (1.4 GHz) and the first two epochs of VLASS (3 GHz). It computes 1.4 GHz detection rates, two-point radio spectral indices, radio loudness (using individual spectral indices to extrapolate to 5 GHz), K-corrected 1.4 GHz radio powers, radio compactness, and star-formation-rate comparisons using WISE mid-infrared data. The main findings are that NL1 galaxies have lower FIRST detection rates, lower median radio loudness, a lower radio-loud fraction, lower median 1.4 GHz radio power, and slightly steeper median radio spectra than BL1 galaxies. The differences persist when using either VLASS epoch and after Monte Carlo perturbation and redshift-matching controls. The authors conclude that these differences most likely reflect genuine population-level differences in AGN-related radio properties.

Significance. If correct, this work provides strong statistical evidence that NLS1 galaxies are intrinsically weaker and spectrally steeper radio emitters than BLS1 galaxies, which is relevant to models of black-hole mass and accretion rate in these systems. The study is carefully executed: FIRST sky coverage is properly accounted for, false-detection rates are estimated with offset-position trials, VLASS quality flags are applied, and the main comparisons are supported by Monte Carlo perturbation tests and redshift-matched resampling. The appendices re-examining individual extreme sources (Appendices C and D) are exemplary and add credibility. The data tables are publicly released on Zenodo, and the analysis relies on published SFR calibrations rather than fits to the data, so there is no circularity. The main limitation, acknowledged by the authors, is that the spectral indices and radio-loudness values depend on FIRST–VLASS baselines separated by up to ~30 years, and the two VLASS epochs cannot directly test variability on that long baseline.

major comments (1)
  1. [Section 3.2 and Section 5] The headline spectral-index comparison (and the part of the radio-loudness calculation that uses the FIRST–VLASS spectral index to extrapolate to 5 GHz) rests on two-point measurements separated by up to ~30 years. The agreement between the two VLASS epochs confirms stability during the VLASS era but does not test whether the NL1 and BL1 populations differ systematically in long-term variability between the FIRST and VLASS eras. A population-level difference in long-term flaring or fading could shift the derived spectral indices and luminosities without an intrinsic spectral or loudness difference. The last paragraph of Section 5 correctly identifies simultaneous VLASS single-epoch measurements as the needed future test, but the earlier Summary statement that the differences are "most likely" genuine should be accompanied by this caveat. I request that the authors explicitly state, in the Summary and in Section 4.2, that a variability-induced bias on the FIRST–VLASS baseline cannot be excluded with the current data, and, if feasible, add a test using a contemporaneous low-frequency dataset (e.g., RACS or NVSS) for a subset of sources to assess the sensitivity of the results to long-term variability.
minor comments (5)
  1. [Section 2, paragraph 5] The sentence "we found that 6342 out of the unique 51,997 BL1, and 2707 out of the unique 22,590 NL1 AGN do not fall into the FIRST sky coverage" contains a comma splice; please rephrase for clarity.
  2. [Figure 4 caption] The caption reads "Redshift distributions of the the FIRST- and VLASS-detected" — the duplicated "the" should be removed.
  3. [Section 3.2, paragraph 3] In the sentence beginning "The redshift distributions of the the FIRST- and VLASS-detected", there is a duplicated "the".
  4. [Section 3.3, paragraph after Table 4] The sentence "Contrary to expectations that Seyfert galaxies are mostly radio-quiet, we found that the type 1 quasar subgroups are not more radio-loud than the Seyfert 1 galaxies in our samples" is potentially misleading because the samples are radio-selected (FIRST+VLASS detected). Suggest specifying that this statement applies to the radio-detected subset used for the radio-loudness analysis.
  5. [Appendix B, text before Table A2] The phrase "the the NL1–BL1, NLQ1–BLQ1, and NLS1–BLS1" contains a duplicated "the".

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the NL1/BL1 radio comparisons are derived from external surveys and published calibrations, with no fitted parameter renamed as a prediction.

full rationale

The paper's central claims (lower 1.4-GHz detection rate, lower radio loudness, lower radio power, and slightly steeper spectra for NL1) are computed directly from external survey catalogs: SDSS optical classification from Paliya et al. (2024), FIRST 1.4-GHz fluxes, VLASS 3-GHz fluxes, and WISE photometry. The spectral index is a measured two-point quantity; radio loudness uses the standard Kellermann et al. (1989) definition with 5-GHz fluxes extrapolated from measured FIRST and VLASS fluxes; and radio power uses the standard K-correction formula. No parameter is fitted to the target comparison and then presented as a prediction. The SFR comparison uses published calibrations (Hopkins et al. 2003; Cluver et al. 2017) that are not adjusted in this paper. The self-citations that occur (Gabanyi et al. 2025, Komossa et al. 2026, Frey et al. 2008 DEVOS) are used for individual-source context or as an external VLBI detection-rate prior; they are not invoked to establish the NL1/BL1 differences themselves. The paper's use of two VLASS epochs as a robustness check is a legitimate internal consistency test, and the possibility that FIRST-to-VLASS variability biases the two-point spectral indices is a potential systematic error, not a circularity. No load-bearing step reduces by construction to its own input.

Assumptions & free parameters 4 free parameters · 5 assumptions · 0 invented entities

No free parameters are fitted to reach a target result; the listed parameters are hand-chosen selection thresholds that affect the analysis. The axioms are standard background assumptions for an observational cross-matching study. No new physical entities are introduced.

free parameters (4)
  • Redshift cut zmin = 0.3
    Chosen as the lowest threshold at which KS and AD tests no longer reject identical redshift distributions for all six sample comparisons (Appendix B, Table A2). It affects spectral index and radio power comparisons.
  • H-alpha/H-beta extinction cutoff = 5.0
    Used to exclude obscured objects from radio loudness analysis. The paper states the ideal cutoff is 3, but using 3 reduces sample sizes drastically (Section 4.1).
  • Spectral index cutoff = 2.5
    Excludes sources with alpha>2.5 as unphysical for optically thick synchrotron; affects a handful of sources.
  • Relative flux density error cutoff = 30%
    Excludes sources with relative flux density errors >30% from spectral index and RL analysis.
assumptions (5)
  • domain assumption Flat LambdaCDM cosmology with H0=70 km/s/Mpc and Omega_m=0.3
    Adopted in Section 1 for luminosity distance and K-corrections; standard in the field.
  • domain assumption The BADASS-based optical classification of Paliya et al. (2024) correctly separates NLS1 from BLS1, and the authors' reclassification of three extreme radio-loud objects is sufficient to remove misclassified sources.
    The analysis depends on the parent catalogs. The authors validate only the log(RL)>4 objects in Appendix D, so the accuracy for the bulk of the sample is assumed.
  • domain assumption The FIRST and VLASS catalogs, after applying the stated filtering flags (Duplicate_flag, Quality_flag, S_code), provide reliable flux densities and detection positions for cross-matching.
    Filtering rules from the CIRADA VLASS guide are applied in Section 2; the reliability of the remaining sources is assumed.
  • domain assumption The Cluver et al. (2017) WISE W3-based SFR relation applies to these AGN host galaxies; deviations from the radio SFR relation indicate AGN contribution.
    Used in Section 4.1 to infer AGN dominance; the calibration is external and may not perfectly hold for AGN hosts.
  • domain assumption The M_B=-23 division between type 1 quasars and Seyfert 1 galaxies (Schmidt and Green 1983) is an appropriate dichotomy for these samples.
    Adopted from the literature and used to split the samples in Section 2.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Radio Properties of Narrow-Line and Broad-Line Seyfert 1 Galaxies." pith.science (2026). https://pith.science/paper/QPTCY3CE

@misc{pith2026260813303,
  author       = {Pith},
  title        = {Pith review of: Radio Properties of Narrow-Line and Broad-Line Seyfert 1 Galaxies},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/QPTCY3CE}},
  note         = {Machine review of arXiv:2608.13303}
}
read the original abstract

Narrow-line Seyfert 1 (NLS1) galaxies host active galactic nuclei (AGN) with narrow optical emission lines of the broad-line region. This is often explained with a relatively lower mass of the central supermassive black hole and super-Eddington accretion. We compared the radio properties of large samples of NLS1 and broad-line Seyfert 1 (BLS1) galaxies compiled from the Sloan Digital Sky Survey. We cross-matched the NLS1 and BLS1 samples with the Faint Images of the Radio Sky at Twenty-Centimeters (FIRST) sky survey at 1.4 GHz and the first and second epoch data of the Very Large Array Sky Survey (VLASS) at 3 GHz. We calculated the radio spectral indices, the 1.4-GHz radio power, and the radio loudness. We found lower 1.4-GHz radio detection rates for the NLS1 galaxies. The median radio loudness values, the fraction of radio-loud AGN, and the median 1.4-GHz radio power are also lower for the NLS1 sample. The median spectral indices imply a slightly steeper radio spectrum for the NLS1 sample than for the BLS1 sample. Comparison of the star formation rates estimated from the radio data and the infrared measurements of the Wide-field Infrared Survey Explorer satellite indicated that more than half of the FIRST- and VLASS-detected NLS1 and BLS1 galaxies contain radio-emitting AGN.

Figures

Figures reproduced from arXiv: 2608.13303 by the authors.

Figure 1
Figure 1. Distributions of the radio spectral index values of the NL1 and BL1 samples of [12]. In all panels, blue and yellow colors are for the respective type 1 quasar and Seyfert 1 galaxy subgroups. Grey filled histograms show the whole samples. The top row is for the FIRST+VLASS1; the bottom row is for the FIRST+VLASS2 samples. https://doi.org/10.3390/galaxies1010000 [PITH_FULL_IMAGE:figures/full_fig_p005_1.png] view at source ↗
Figure 2
Figure 2. Boxplot representation of the spectral index distributions of the NL1 and BL1 AGN for the FIRST+VLASS1 (left panel) and FIRST+VLASS2 (right panel) samples. The boxes extend from the first quartile, Q1 , to the third quartile, Q3, and therefore, enclose the central 50% of the data. The horizontal line inside each box marks the median spectral index. The whiskers extend to the most extreme data points within 1.5 times… view at source ↗
Figure 3
Figure 3. Monte Carlo perturbation test of the median spectral index differences between the NL1 and BL1 samples. In each realization, every spectral index was perturbed according to its individual uncertainty, and the median difference ∆αMC = median(αNL1−like) − median(αBL1−like) was recomputed. The panels show the resulting ∆αMC distributions for the full samples, the QSO subsamples, and the Seyfert subsamples, separately f… view at source ↗
Figures from the paper (9 more)
Figure 4
Figure 4. Figure 4: Redshift distributions of the the FIRST- and VLASS-detected NL1 and BL1 samples of [12] retained for the spectral index calculation. The details of the plots are the same as in [PITH_FULL_IMAGE:figures/full_fig_p008_4.png]
Figure 5
Figure 5. Figure 5: Distributions of the logarithm of the RL values of the NL1 and BL1 samples. The details of the figure are the same as in [PITH_FULL_IMAGE:figures/full_fig_p010_5.png]
Figure 6
Figure 6. Figure 6: Boxplot representation of the radio loudness distributions of the NL1 and BL1 AGN for the FIRST+VLASS1 (left panel) and FIRST+VLASS2 (right panel) samples. The boxes extend from the first quartile, Q1 , to the third quartile, Q3, and therefore, enclose the central 50% …
Figure 7
Figure 7. Figure 7: Distributions of the logarithm of the 1.4-GHz radio power values in units of 1020 W Hz−1 of the NL1 and BL1 samples. The details of the figure are the same as in [PITH_FULL_IMAGE:figures/full_fig_p012_7.png]
Figure 8
Figure 8. Figure 8: Distributions of the logarithm of the 1.4-GHz radio power values in units of 1020 W Hz−1 of the NL1 and BL1 samples for sources at z > 0.3. The details of the figure are the same as in [PITH_FULL_IMAGE:figures/full_fig_p013_8.png]
Figure 9
Figure 9. Figure 9: Boxplot representation of the FIRST radio power distributions of the NL1 and BL1 AGN. The plot details are the same as in [PITH_FULL_IMAGE:figures/full_fig_p013_9.png]
Figure 10
Figure 10. Figure 10: Optical absolute magnitude versus the logarithm of P1.4 GHz for the NL (left) and BL (right) samples of the FIRST+VLASS1 (top) and FIRST+VLASS2 (bottom) data. Faint points represent individual sources. Dark-blue points show the median log10(P1.4 GHz) values in equal-n…
Figure 11
Figure 11. Figure 11: Distribution of FIRST compactness values for the NL1 (left) and BL1 (right) samples detected in the FIRST and in the first epoch of VLASS. Filled blue histograms represent the optically brighter type 1 quasars, orange lines the optically fainter Seyfert 1 galaxies. ht…
Figure 12
Figure 12. Figure 12: Star formation rates calculated from the 1.4-GHz radio power and from the 12 µm luminosity. Small light green symbols show the galaxies classified as ‘star’ in SDSS, having a flux density > 20 mJy in FIRST and a compactness value > 0.8 in FIRST. According to DEVOS [37…

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

63 extracted references · 15 canonical work pages

  1. [1]

    The spectra of narrow-line Seyfert 1 galaxies.Astrophys

    Osterbrock, D.E.; Pogge, R.W. The spectra of narrow-line Seyfert 1 galaxies.Astrophys. J.1985,297, 166–176. https: //doi.org/10.1086/163513

  2. [2]

    Narrow-Line

    Goodrich, R.W. Spectropolarimetry of “Narrow-Line” Seyfert 1 Galaxies.Astrophys. J.1989,342, 224. https://doi.org/10.1086/16 7586

  3. [3]

    The unusual emission line spectrum of I Zw 1.Astron

    Véron-Cetty, M.P .; Joly, M.; Véron, P . The unusual emission line spectrum of I Zw 1.Astron. Astrophys.2004,417, 515–525. https://doi.org/10.1051/0004-6361:20035714

  4. [4]

    Narrow-line Seyfert 1 Galaxies.Rev

    Komossa, S. Narrow-line Seyfert 1 Galaxies.Rev. Mex. Astron. Astrofis. Conf. Ser.2008,32, 86–92. https://doi.org/10.48550 /arXiv.0710.3326

  5. [5]

    Radio-loud Narrow-Line Type 1 Quasars.Astron

    Komossa, S.; Voges, W.; Xu, D.; Mathur, S.; Adorf, H.M.; Lemson, G.; Duschl, W.J.; Grupe, D. Radio-loud Narrow-Line Type 1 Quasars.Astron. J.2006,132, 531–545. https://doi.org/10.1086/505043. https://doi.org/10.3390/galaxies1010000 Galaxies2026,1, 0 31 of 33

  6. [6]

    A comprehensive radio study of narrow-line Seyfert 1 galaxies.Astron

    Varglund, I.; Järvelä, E.; Hardcastle, M.J.; Varglund, S.; Lähteenmäki, A. A comprehensive radio study of narrow-line Seyfert 1 galaxies.Astron. Astrophys.2025,703, A202. https://doi.org/10.1051/0004-6361/202450962

  7. [7]

    The LOFAR Two-metre Sky Survey

    Shimwell, T.W.; Hardcastle, M.J.; Tasse, C.; Best, P .N.; Röttgering, H.J.A.; Williams, W.L.; Botteon, A.; Drabent, A.; Mechev, A.; Shulevski, A.; et al. The LOFAR Two-metre Sky Survey. V . Second data release.Astron. Astrophys.2022,659, A1. https://doi.org/10.1051/0004-6361/202142484

  8. [8]

    A Population of Radio-Loud Narrow-Line Seyfert 1 Galaxies with Blazar-Like Properties?Astrophys

    Yuan, W.; Zhou, H.Y.; Komossa, S.; Dong, X.B.; Wang, T.G.; Lu, H.L.; Bai, J.M. A Population of Radio-Loud Narrow-Line Seyfert 1 Galaxies with Blazar-Like Properties?Astrophys. J.2008,685, 801–827. https://doi.org/10.1086/591046

Show all 63 references
  1. [9]

    A New Sample of Gamma-Ray Emitting Jetted Active Galactic Nuclei.Universe2022,8, 587

    Foschini, L.; Lister, M.L.; Andernach, H.; Ciroi, S.; Marziani, P .; Antón, S.; Berton, M.; Dalla Bontà, E.; Järvelä, E.; Marchã, M.J.M.; et al. A New Sample of Gamma-Ray Emitting Jetted Active Galactic Nuclei.Universe2022,8, 587. https://doi.org/10.3390/ universe8110587

  2. [10]

    Solid Identification of Extragalactic Gamma-Ray Source Using High-Resolution Radio Interferometric Observation.Universe2025,11, 83

    Gabányi, K.É.; Frey, S.; Perger, K.; Kun, E. Solid Identification of Extragalactic Gamma-Ray Source Using High-Resolution Radio Interferometric Observation.Universe2025,11, 83. https://doi.org/10.3390/universe11030083

  3. [11]

    Narrow-line Seyfert 1s: What is wrong in a name? In Proceedings of the Revisiting Narrow-Line Seyfert 1 Galaxies and Their Place in the Universe, Padua, Italy, 9–13 April 2018; p

    Marziani, P .; del Olmo, A.; D’Onofrio, M.; Dultzin, D.; Negrete, C.A.; Martínez-Aldama, M.L.; Bon, E.; Bon, N.; Stirpe, G.M. Narrow-line Seyfert 1s: What is wrong in a name? In Proceedings of the Revisiting Narrow-Line Seyfert 1 Galaxies and Their Place in the Universe, Padua...

  4. [12]

    Narrow-line Seyfert 1 galaxies in Sloan Digital Sky Survey: A new optical spectroscopic catalogue.Mon

    Paliya, V .S.; Stalin, C.S.; Domínguez, A.; Saikia, D.J. Narrow-line Seyfert 1 galaxies in Sloan Digital Sky Survey: A new optical spectroscopic catalogue.Mon. Not. R. Astron. Soc.2024,527, 7055–7069. https://doi.org/10.1093/mnras/stad3650

  5. [13]

    The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data.Astrophys

    Abdurro’uf; Accetta, K.; Aerts, C.; Silva Aguirre, V .; Ahumada, R.; Ajgaonkar, N.; Filiz Ak, N.; Alam, S.; Allende Prieto, C.; Almeida, A.; et al. The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data.Astrophys. J....

  6. [14]

    A Catalog of Quasar Properties from Sloan Digital Sky Survey Data Release 16.Astrophys

    Wu, Q.; Shen, Y. A Catalog of Quasar Properties from Sloan Digital Sky Survey Data Release 16.Astrophys. J. Suppl. Ser.2022, 263, 42. https://doi.org/10.3847/1538-4365/ac9ead

  7. [15]

    Bayesian AGN Decomposition Analysis for SDSS spectra: A correlation analysis of [O III] λ5007 outflow kinematics with AGN and host galaxy properties.Mon

    Sexton, R.O.; Matzko, W.; Darden, N.; Canalizo, G.; Gorjian, V . Bayesian AGN Decomposition Analysis for SDSS spectra: A correlation analysis of [O III] λ5007 outflow kinematics with AGN and host galaxy properties.Mon. Not. R. Astron. Soc.2021, 500, 2871–2895. https://doi.org/...

  8. [16]

    A Catalog of 1.4 GHz Radio Sources from the FIRST Survey.Astrophys

    White, R.L.; Becker, R.H.; Helfand, D.J.; Gregg, M.D. A Catalog of 1.4 GHz Radio Sources from the FIRST Survey.Astrophys. J. 1997,475, 479–493. https://doi.org/10.1086/303564

  9. [17]

    The Karl G

    Lacy, M.; Baum, S.A.; Chandler, C.J.; Chatterjee, S.; Clarke, T.E.; Deustua, S.; English, J.; Farnes, J.; Gaensler, B.M.; Gugliucci, N.; et al. The Karl G. Jansky Very Large Array Sky Survey (VLASS). Science Case and Survey Design.Publ. Astron. Soc. Pac.2020, 132, 035001. http...

  10. [18]

    Quasar evolution derived from the Palomar bright quasar survey and other complete quasar surveys

    Schmidt, M.; Green, R.F. Quasar evolution derived from the Palomar bright quasar survey and other complete quasar surveys. Astrophys. J.1983,269, 352–374. https://doi.org/10.1086/161048

  11. [19]

    Radio-loudness Statistics of Quasars from Quaia-VLASS.Astrophys

    Arsenov, N.; Frey, S.; Kovács, A.; Slavcheva-Mihova, L. Radio-loudness Statistics of Quasars from Quaia-VLASS.Astrophys. J. Suppl. Ser.2025,280, 23. https://doi.org/10.3847/1538-4365/adf056

  12. [20]

    Optical-radio positional offsets for active galactic nuclei.Astron

    Orosz, G.; Frey, S. Optical-radio positional offsets for active galactic nuclei.Astron. Astrophys.2013,553, A13. https: //doi.org/10.1051/0004-6361/201321279

  13. [21]

    Quaia, the Gaia-unWISE Quasar Catalog: An All-sky Spectroscopic Quasar Sample.Astrophys

    Storey-Fisher, K.; Hogg, D.W.; Rix, H.W.; Eilers, A.C.; Fabbian, G.; Blanton, M.R.; Alonso, D. Quaia, the Gaia-unWISE Quasar Catalog: An All-sky Spectroscopic Quasar Sample.Astrophys. J.2024,964, 69. https://doi.org/10.3847/1538-4357/ad1328

  14. [22]

    The Derivation and Choice of Appropriate Test Statistic (Z, t, F and Chi-Square Test) in Research Methodology.Math

    Abebe, T.H. The Derivation and Choice of Appropriate Test Statistic (Z, t, F and Chi-Square Test) in Research Methodology.Math. Lett.2020,5, 33–40. https://doi.org/10.11648/j.ml.20190503.11

  15. [23]

    Distribution Free Tests of Independence Based on the Sample Distribution Function.Ann

    Blum, J.R.; Kiefer, J.; Rosenblatt, M. Distribution Free Tests of Independence Based on the Sample Distribution Function.Ann. Math. Stat.1961,32, 485–498

  16. [24]

    A Test of Goodness of Fit.J

    Anderson, T.W.; Darling, D.A. A Test of Goodness of Fit.J. Am. Stat. Assoc.1954,49, 765–769

  17. [25]

    VLA Observations of Objects in the Palomar Bright Quasar Survey.Astron

    Kellermann, K.I.; Sramek, R.; Schmidt, M.; Shaffer, D.B.; Green, R. VLA Observations of Objects in the Palomar Bright Quasar Survey.Astron. J.1989,98, 1195. https://doi.org/10.1086/115207

  18. [26]

    The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra.Astrophys

    Ahumada, R.; Allende Prieto, C.; Almeida, A.; Anders, F.; Anderson, S.F.; Andrews, B.H.; Anguiano, B.; Arcodia, R.; Armengaud, E.; Aubert, M.; et al. The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBO...

  19. [27]

    UBVRI photometry II: The Cousins VRI system, its temperature and absolute flux calibration, and relevance for two-dimensional photometry.Publ

    Bessell, M.S. UBVRI photometry II: The Cousins VRI system, its temperature and absolute flux calibration, and relevance for two-dimensional photometry.Publ. Astron. Soc. Pac.1979,91, 589–607. https://doi.org/10.1086/130542

  20. [28]

    Partially Obscured Quasars in the Sloan Digital Sky Survey Early Data Release.Astrophys

    Dong, X.B.; Zhou, H.Y.; Wang, T.G.; Wang, J.X.; Li, C.; Zhou, Y.Y. Partially Obscured Quasars in the Sloan Digital Sky Survey Early Data Release.Astrophys. J.2005,620, 629–645. https://doi.org/10.1086/427174

  21. [29]

    Broad-line Balmer decrements in blue active galactic nuclei

    Dong, X.; Wang, T.; Wang, J.; Yuan, W.; Zhou, H.; Dai, H.; Zhang, K. Broad-line Balmer decrements in blue active galactic nuclei. Mon. Not. R. Astron. Soc.2008,383, 581–592. https://doi.org/10.1111/j.1365-2966.2007.12560.x. https://doi.org/10.3390/galaxies1010000 Galaxies2026,...

  22. [30]

    The Nature of Jets in Double-peaked Emission-line AGN in the KISSR Sample.Astrophys

    Kharb, P .; Subramanian, S.; Das, M.; Vaddi, S.; Paragi, Z. The Nature of Jets in Double-peaked Emission-line AGN in the KISSR Sample.Astrophys. J.2021,919, 108. https://doi.org/10.3847/1538-4357/ac0c82

  23. [31]

    Star Formation Rate Indicators in the Sloan Digital Sky Survey.Astrophys

    Hopkins, A.M.; Miller, C.J.; Nichol, R.C.; Connolly, A.J.; Bernardi, M.; Gómez, P .L.; Goto, T.; Tremonti, C.A.; Brinkmann, J.; Ivezi´ c, Ž.; et al. Star Formation Rate Indicators in the Sloan Digital Sky Survey.Astrophys. J.2003,599, 971–991. https: //doi.org/10.1086/379608

  24. [32]

    A Catalog of Narrow Line Seyfert 1 Galaxies from the Sloan Digital Sky Survey Data Release 12.Astrophys

    Rakshit, S.; Stalin, C.S.; Chand, H.; Zhang, X.G. A Catalog of Narrow Line Seyfert 1 Galaxies from the Sloan Digital Sky Survey Data Release 12.Astrophys. J. Suppl. Ser.2017,229, 39. https://doi.org/10.3847/1538-4365/aa6971

  25. [33]

    The Last of FIRST: The Final Catalog and Source Identifications.Astrophys

    Helfand, D.J.; White, R.L.; Becker, R.H. The Last of FIRST: The Final Catalog and Source Identifications.Astrophys. J.2015, 801, 26. https://doi.org/10.1088/0004-637X/801/1/26

  26. [34]

    Unified models for active galactic nuclei and quasars.Annu

    Antonucci, R. Unified models for active galactic nuclei and quasars.Annu. Rev. Astron. Astrophys.1993,31, 473–521. https://doi.org/10.1146/annurev.aa.31.090193.002353

  27. [35]

    Compact Radio Emission from Warm Infrared Galaxies.Astrophys

    Kewley, L.J.; Heisler, C.A.; Dopita, M.A.; Sutherland, R.; Norris, R.P .; Reynolds, J.; Lumsden, S. Compact Radio Emission from Warm Infrared Galaxies.Astrophys. J.2000,530, 704–718. https://doi.org/10.1086/308397

  28. [36]

    Wide-field VLBA observations of the Chandra deep field South.Astron

    Middelberg, E.; Deller, A.; Morgan, J.; Rottmann, H.; Alef, W.; Tingay, S.; Norris, R.; Bach, U.; Brisken, W.; Lenc, E. Wide-field VLBA observations of the Chandra deep field South.Astron. Astrophys.2011,526, A74. https://doi.org/10.1051/0004-6361/2010 15406

  29. [37]

    Deep extragalactic VLBI-optical survey (DEVOS)

    Frey, S.; Gurvits, L.I.; Paragi, Z.; Mosoni, L.; Garrett, M.A.; Garrington, S.T. Deep extragalactic VLBI-optical survey (DEVOS). II. Efficient VLBI detection of SDSS quasars.Astron. Astrophys.2008,477, 781–787. https://doi.org/10.1051/0004-6361:20078711

  30. [38]

    Calibrating Star Formation in WISE Using Total Infrared Luminosity.Astrophys

    Cluver, M.E.; Jarrett, T.H.; Dale, D.A.; Smith, J.D.T.; August, T.; Brown, M.J.I. Calibrating Star Formation in WISE Using Total Infrared Luminosity.Astrophys. J.2017,850, 68. https://doi.org/10.3847/1538-4357/aa92c7

  31. [39]

    The Wide-field Infrared Survey Explorer (WISE): Mission Description and Initial On-orbit Performance

    Wright, E.L.; Eisenhardt, P .R.M.; Mainzer, A.K.; Ressler, M.E.; Cutri, R.M.; Jarrett, T.; Kirkpatrick, J.D.; Padgett, D.; McMillan, R.S.; Skrutskie, M.; et al. The Wide-field Infrared Survey Explorer (WISE): Mission Description and Initial On-orbit Performance. Astron. J.2010...

  32. [40]

    Cutri, R.M.; Wright, E.L.; Conrow, T.; Fowler, J.W.; Eisenhardt, P .R.M.; Grillmair, C.; Kirkpatrick, J.D.; Masci, F.; McCallon, H.L.; Wheelock, S.L.; et al.VizieR Online Data Catalog: AllWISE Data Release (Cutri+ 2013); IPAC/Caltech: Pasadena, CA, USA, 2021

  33. [41]

    Discovery of a giant radio outburst of the narrow-line Seyfert 1 galaxy SDSS J110546.07+145202.4.Astron

    Gabányi, K.É.; Komossa, S.; Kraus, A.; Mez˝ osi, A.; Frey, S. Discovery of a giant radio outburst of the narrow-line Seyfert 1 galaxy SDSS J110546.07+145202.4.Astron. Astrophys.2025,702, L17. https://doi.org/10.1051/0004-6361/202556780

  34. [42]

    SDSS J110546.07+145202.4: The First Long-duration Radio Changing-look NLS1 Galaxy.Astrophys

    Komossa, S.; Grupe, D.; Kraus, A.; Edwards, P .G.; Kerrison, E.F.; Rose, K.; Soria, R.; An, T.; Hardcastle, M.J.; Gabányi, K.É.; et al. SDSS J110546.07+145202.4: The First Long-duration Radio Changing-look NLS1 Galaxy.Astrophys. J.2026,1003, 46. https://doi.org/10.3847/1538-43...

  35. [43]

    Quasars That Have Transitioned from Radio-quiet to Radio-loud on Decadal Timescales Revealed by VLASS and FIRST.Astrophys

    Nyland, K.; Dong, D.Z.; Patil, P .; Lacy, M.; van Velzen, S.; Kimball, A.E.; Sarbadhicary, S.K.; Hallinan, G.; Baldassare, V .; Clarke, T.E.; et al. Quasars That Have Transitioned from Radio-quiet to Radio-loud on Decadal Timescales Revealed by VLASS and FIRST.Astrophys. J.202...

  36. [44]

    Compact steep-spectrum and peaked-spectrum radio sources.Astron

    O’Dea, C.P .; Saikia, D.J. Compact steep-spectrum and peaked-spectrum radio sources.Astron. Astrophys. Rev.2021,29, 3. https://doi.org/10.1007/s00159-021-00131-w

  37. [45]

    The VLA Sky Survey (VLASS) and Beyond: Lessons, Challenges, and Future Surveys

    Myers, S.T. The VLA Sky Survey (VLASS) and Beyond: Lessons, Challenges, and Future Surveys. In Proceedings of the 2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), Boulder, CO, USA, 7–10 January 2025; p. 226. https://doi.org/10.2391...

  38. [46]

    The VizieR database of astronomical catalogues.Astron

    Ochsenbein, F.; Bauer, P .; Marcout, J. The VizieR database of astronomical catalogues.Astron. Astrophys. Suppl.2000,143, 23–32. https://doi.org/10.1051/aas:2000169

  39. [47]

    A Radio Changing-state Jet in the Narrow-line Seyfert 1 Galaxy J1105+1452.Astrophys

    Dou, L.; Chen, Z.; Wu, J.; Jiang, N.; Shu, X.; Wang, T.; Li, X.; Wang, G.; Ai, Y.; Chen, M.; et al. A Radio Changing-state Jet in the Narrow-line Seyfert 1 Galaxy J1105+1452.Astrophys. J. Lett.2026,1002, L16. https://doi.org/10.3847/2041-8213/ae5e54

  40. [48]

    The NRAO VLA Sky Survey.Astron

    Condon, J.J.; Cotton, W.D.; Greisen, E.W.; Yin, Q.F.; Perley, R.A.; Taylor, G.B.; Broderick, J.J. The NRAO VLA Sky Survey.Astron. J.1998,115, 1693–1716. https://doi.org/10.1086/300337

  41. [49]

    AIPS, the VLA, and the VLBA

    Greisen, E.W. AIPS, the VLA, and the VLBA. InProceedings of the Information Handling in Astronomy—Historical Vistas; Heck, A., Ed.; Astrophysics and Space Science Library; Springer: Berlin/Heidelberg, Germany, 2003; Volume 285, p. 109. https: //doi.org/10.1007/0-306-48080-8_7

  42. [50]

    Possible radio spectral indices from inhomogeneous free-free sources

    Rodriguez, L.F.; Marti, J.; Canto, J.; Moran, J.M.; Curiel, S. Possible radio spectral indices from inhomogeneous free-free sources. Rev. Mex. Astron. Astrofis.1993,25, 23–29

  43. [51]

    The Rapid ASKAP Continuum Survey I: Design and first results.Publ

    McConnell, D.; Hale, C.L.; Lenc, E.; Banfield, J.K.; Heald, G.; Hotan, A.W.; Leung, J.K.; Moss, V .A.; Murphy, T.; O’Brien, A.; et al. The Rapid ASKAP Continuum Survey I: Design and first results.Publ. Astron. Soc. Aust.2020,37, e048. https://doi.org/10.1017/pasa.2020.41

  44. [52]

    Variability and parsec-scale radio structure of candidate compact symmetric objects.Mon

    Orienti, M.; Dallacasa, D. Variability and parsec-scale radio structure of candidate compact symmetric objects.Mon. Not. R. Astron. Soc.2020,499, 1340–1355. https://doi.org/10.1093/mnras/staa2856. https://doi.org/10.3390/galaxies1010000 Galaxies2026,1, 0 33 of 33

  45. [53]

    The Radio Fundamental Catalog

    Petrov, L.Y.; Kovalev, Y.Y. The Radio Fundamental Catalog. I. Astrometry.Astrophys. J. Suppl. Ser.2025,276, 38. https: //doi.org/10.3847/1538-4365/ad8c36

  46. [54]

    A third update of the status of the 3 CR sources : Further new redshifts and new identifications of distant galaxies.Publ

    Spinrad, H.; Djorgovski, S.; Marr, J.; Aguilar, L. A third update of the status of the 3 CR sources : Further new redshifts and new identifications of distant galaxies.Publ. Astron. Soc. Pac.1985,97, 932–961. https://doi.org/10.1086/131647

  47. [55]

    Near-infrared spectroscopy of powerful compact steep-spectrum radio sources.Mon

    Hirst, P .; Jackson, N.; Rawlings, S. Near-infrared spectroscopy of powerful compact steep-spectrum radio sources.Mon. Not. R. Astron. Soc.2003,346, 1009–1020. https://doi.org/10.1111/j.1365-2966.2003.07155.x

  48. [56]

    The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data.Astron

    Dawson, K.S.; Kneib, J.P .; Percival, W.J.; Alam, S.; Albareti, F.D.; Anderson, S.F.; Armengaud, E.; Aubourg, É.; Bailey, S.; Bautista, J.E.; et al. The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data.Astron. J.2016,151, 44. https://doi.org/10...

  49. [57]

    Compact steep spectrum 3 CR radio sources

    Fanti, C.; Fanti, R.; Parma, P .; Schilizzi, R.T.; van Breugel, W.J.M. Compact steep spectrum 3 CR radio sources. VLBI observations at 18 cm.Astron. Astrophys.1985,143, 292–306

  50. [58]

    Lister, M.L.; Aller, M.F.; Aller, H.D.; Hodge, M.A.; Homan, D.C.; Kovalev, Y.Y.; Pushkarev, A.B.; Savolainen, T. MOJAVE. XV . VLBA 15 GHz Total Intensity and Polarization Maps of 437 Parsec-scale AGN Jets from 1996 to 2017.Astrophys. J. Suppl. Ser. 2018,234, 12. https://doi.or...

  51. [59]

    The VSOP 5 GHz Active Galactic Nucleus Survey

    Dodson, R.; Fomalont, E.B.; Wiik, K.; Horiuchi, S.; Hirabayashi, H.; Edwards, P .G.; Murata, Y.; Asaki, Y.; Moellenbrock, G.A.; Scott, W.K.; et al. The VSOP 5 GHz Active Galactic Nucleus Survey. V . Imaging Results for the Remaining 140 Sources.Astrophys. J. Suppl. Ser.2008,17...

  52. [60]

    Equipartition Brightness Temperature and the Inverse Compton Catastrophe.Astrophys

    Readhead, A.C.S. Equipartition Brightness Temperature and the Inverse Compton Catastrophe.Astrophys. J.1994,426, 51. https://doi.org/10.1086/174038

  53. [61]

    Lister, M.L.; Homan, D.C.; Hovatta, T.; Kellermann, K.I.; Kiehlmann, S.; Kovalev, Y.Y.; Max-Moerbeck, W.; Pushkarev, A.B.; Readhead, A.C.S.; Ros, E.; et al. MOJAVE. XVII. Jet Kinematics and Parent Population Properties of Relativistically Beamed Radio-loud Blazars.Astrophys. J...

  54. [62]

    Compact symmetric objects and supermassive binary black holes in the VLBA Imaging and Polarimetry Survey.Mon

    Tremblay, S.E.; Taylor, G.B.; Ortiz, A.A.; Tremblay, C.D.; Helmboldt, J.F.; Romani, R.W. Compact symmetric objects and supermassive binary black holes in the VLBA Imaging and Polarimetry Survey.Mon. Not. R. Astron. Soc.2016,459, 820–840. https://doi.org/10.1093/mnras/stw592

  55. [63]

    The B3-VLA CSS sample

    Dallacasa, D.; Tinti, S.; Fanti, C.; Fanti, R.; Gregorini, L.; Stanghellini, C.; Vigotti, M. The B3-VLA CSS sample. II. VLBA images at 18 cm.Astron. Astrophys.2002,389, 115–125. https://doi.org/10.1051/0004-6361:20020576. Disclaimer/Publisher’s Note:The statements, opinions an...

Pith tools

Reviewed August 14, 2026 · model on record in the stance chip above.