REVIEW 2 major objections 5 minor 73 references
A composite of ~61,000 SPHEREx QSOs shows UV/optical slope −0.10 and NIR slope −1.46 that both change systematically with luminosity.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
T0 review · grok-4.5
2026-07-14 12:56 UTC pith:P4QXXA5M
load-bearing objection Solid large-N UV-to-NIR QSO composite from early SPHEREx; useful template with luminosity trends that hold as empirical measurements even after the host-contamination caveat is taken seriously. the 2 major comments →
A UV-to-Near-infrared QSO Composite Spectrum from the SPHEREx All-Sky Survey
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
From ~61 000 type-1 QSOs the median SPHEREx composite has UV/optical continuum α_ν = −0.10 and NIR continuum α_ν = −1.46; both indices and the IR-to-optical continuum ratio change systematically with bolometric luminosity (flatter UV/optical and steeper NIR for more luminous objects), while Hα, Paβ and Paα line ratios agree with Case B recombination and their equivalent widths increase with luminosity.
What carries the argument
The SPHEREx all-sky LVF spectrophotometric stack of ~61 000 SDSS type-1 QSOs, normalized iteratively by spectral overlap and median-combined in rest-frame bins, which yields a single high-S/N continuum and line template spanning 0.14–4.5 µm that can be further sliced by luminosity, black-hole mass and Eddington ratio.
Load-bearing premise
That cutting the optical host fraction below 10 percent at 5100 Å, plus S/N and channel-count cuts, is enough to keep residual stellar light from dominating the long-wavelength continuum shape and the luminosity trends measured there.
What would settle it
Construct identical composites after an independent, wavelength-dependent host subtraction (for example using rest-frame 1.6 µm stellar templates or higher-resolution NIR spectra) and test whether the IR slope still steepens and the IR/optical ratio still falls with rising bolometric luminosity.
If this is right
- Photo-z codes for SPHEREx and similar low-resolution surveys can replace theoretical or sparsely sampled QSO SEDs with this empirical, luminosity-sliced template.
- Color-based AGN selection can incorporate the measured variance of continuum slopes and line strengths across luminosity bins rather than a single mean SED.
- The observed decline of IR-to-optical flux with luminosity supplies a new empirical constraint on the luminosity dependence of the torus covering factor.
- The anti-Baldwin rise of Hα and Paschen equivalent widths with luminosity implies that low-ionization recombination lines do not soften with continuum luminosity in the same way high-ionization UV lines do.
Where Pith is reading between the lines
- If residual host light is later shown to drive the NIR knee, the receding-torus interpretation of the IR/optical ratio trend will need re-examination with host-free stacks.
- The same stacking pipeline can be re-run on later SPHEREx data releases once full-sky coverage is complete, testing whether the luminosity trends remain after the low-redshift host bias is reduced.
- Because the composite is already sliced by Eddington ratio, it offers a ready empirical prior for models that couple accretion rate to continuum shape and line strength.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper constructs an empirical UV-to-NIR composite spectrum of ~61,000 type-1 SDSS QSOs (median z ≈ 1.26) from early SPHEREx spectrophotometry (0.75–5.0 µm, R ≈ 35–130), spanning rest-frame 0.14–4.5 µm. After S/N, channel-count, BAL, and f_host < 0.1 cuts, spectra are iteratively normalized and stacked (median/mean/geometric mean). The full-sample continuum is fit with α_ u,opt ≈ −0.10 (0.15 and 0.55 µm windows) and α_ u,IR ≈ −1.46 (1.2 and 2.4 µm windows). Sub-composites binned by L_bol, M_BH, and λ_Edd show that more luminous objects have flatter UV/optical and steeper NIR continua and lower IR-to-optical flux ratios, interpreted as consistent with a receding torus. Hα, He I+Paγ, Paβ, and Paα fluxes and EWs are measured; Paschen-to-Balmer ratios match Case B, while EWs increase with L_bol (anti-Baldwin). Host contamination and redshift–luminosity coupling are discussed as caveats, especially for the NIR “knee.”
Significance. This is the first large-N, all-sky UV-to-NIR QSO composite from SPHEREx, filling a long-standing gap between the canonical SDSS UV/optical template and smaller NIR composites. The sample size enables luminosity-, mass-, and Eddington-ratio-binned stacks that are useful as empirical templates for photo-z, SED modeling, and QSO selection. Continuum slopes, IR/optical ratios, Case-B line ratios, and anti-Baldwin EWs are measured quantities on the delivered stacks rather than model-forced results. The authors openly flag host contamination and recommend high-L sub-composites when host light must be minimized, which strengthens the paper’s utility. If the trends hold under fuller SPHEREx coverage, the work will be a standard reference for AGN continuum and torus studies.
major comments (2)
- Sections 4.2 and 5.3 and Figure 6: the luminosity dependence of α_ u,IR and of f_ u(2.4 µm)/f_ u(0.41 µm) is presented as supporting the receding-torus model, yet the same sections attribute the NIR “knee” and part of the slope variation to residual host light and the fact that long-wavelength bins are dominated by lower-z, lower-L objects. The manuscript needs a quantitative bound (e.g., host-subtracted high-L-only stacks, or a simple stellar-template residual estimate) showing that the IR/optical trend survives after host contamination is controlled; without it the physical interpretation remains suggestive rather than demonstrated.
- Section 4.3 and Table 3: EWs of Hα, Paβ, and Paα are reported to increase with L_bol (β ≈ 0.12–0.16), contrary to the classical Baldwin effect. Because SPHEREx cannot separate broad and narrow components and Hα is blended with [N II], the claim that the narrow-line Baldwin effect cannot drive the positive trend needs a clearer quantitative argument (e.g., upper limit on the narrow fraction from the SDSS composite or literature). Otherwise the anti-Baldwin result is interesting but not yet secure.
minor comments (5)
- Section 4.1: the optical power-law windows (0.15 µm ± 0.01 µm, 0.55 µm ± 0.005 µm) and NIR windows (1.2 and 2.4 µm, width 0.015 µm) should be stated once in a single methods paragraph so that the fits are fully reproducible without hunting through the text.
- Figure 2 vs. Vanden Berk et al. (2001): the discrepancy longward of ~0.4 µm is attributed to host contamination and redshift distribution; a short quantitative note (e.g., median f_host or median z in the overlapping bins) would make the comparison more useful.
- Table 2 and Appendix tables: only a few rows are shown; ensure the full electronic tables include wavelength, median/mean/geometric-mean fluxes, and N per bin for all subsamples, and that units (arbitrary f_ u) are stated consistently.
- Section 5.3: the variability discussion estimates <0.1 mag on ~15-day rest-frame timescales; a brief citation to the SPHEREx sampling cadence or a reference light-curve study would strengthen the claim that variability bias is negligible.
- Typographical: “photoionizes” in the Introduction should be “photoionizes” → “photoionizes the dense clouds” is fine but the sentence is slightly incomplete; also “BAL PROB= 0” spacing and “ZWARNING=0” formatting are inconsistent.
Circularity Check
No significant circularity: empirical stack of observed SPHEREx fluxes with direct continuum and line measurements.
full rationale
The paper constructs median/mean/geometric-mean composites by iterative normalization and stacking of rest-frame SPHEREx spectrophotometry for ~61 000 SDSS type-1 QSOs (Sections 2–3). Continuum indices α_ν,opt and α_ν,IR are ordinary least-squares power-law fits to fixed, line-free windows; IR/optical flux ratios, Gaussian line fluxes, and EWs are measured after local continuum subtraction (Section 4). Luminosity, mass and Eddington-ratio bins use literature bolometric corrections and virial masses solely for sample division; they do not enter the spectral shape. Comparisons to Case B recombination and the receding-torus model are external literature benchmarks, not inputs that force the measured values. Host-contamination caveats are acknowledged by the authors themselves and do not render any reported quantity tautological. No self-definitional loop, fitted-parameter-as-prediction, load-bearing self-citation uniqueness claim, or renamed known result appears in the derivation chain.
Axiom & Free-Parameter Ledger
free parameters (4)
- optical continuum windows (0.15 µm ±0.01 µm, 0.55 µm ±0.005 µm) =
α_ν,opt = −0.10
- NIR continuum windows (1.2 µm and 2.4 µm, width 0.015 µm) =
α_ν,IR = −1.46
- host-galaxy fraction cut f_host < 0.1 at 5100 Å =
0.1
- median S/N per channel ≥ 2 and ≥ 50 spectral channels =
S/N≥2, N_chan≥50
axioms (5)
- domain assumption Standard flat ΛCDM cosmology (H0=70, Ωm=0.3, ΩΛ=0.7) for luminosity distances
- domain assumption Bolometric corrections of Richards et al. (2006) at 5100, 3000, 1350 Å
- domain assumption Case B recombination line ratios for typical BLR conditions (Paα/Hα≈0.11, Paβ/Hα≈0.10)
- domain assumption Galactic extinction law of Gordon et al. (2023) with RV=3.1 and Schlegel/Schlafly maps
- standard math Geometric mean preserves power-law continuum shape
read the original abstract
We present a composite spectrum of $\sim 61,000$ type 1 SDSS QSOs (median $z \approx 1.26$), constructed using SPHEREx spectrophotometric data and covering a rest-frame wavelength range of $0.14-4.5~\mu$m. The SPHEREx mission surveys the entire sky in 102 near-infrared spectral channels spanning $0.75-5.0~\mu$m with a spectral resolution of $R \approx 35-130$, providing a unique dataset for building a statistically robust QSO composite. We find that the UV and optical continuum of the resulting composite can be described by a power law, $f_\nu \propto \nu^{\alpha_\nu}$, with a best-fit spectral index of $\alpha_\nu = -0.10$, while the near-infrared continuum is well-fit with a spectral index of $-1.46$. The power-law indices in both the optical and near-infrared regimes strongly depend on properties of QSOs, such that more luminous QSOs tend to exhibit flatter UV/optical and steeper near-infrared continua compared to those of less luminous ones. The IR-to-optical flux ratio decreases with increasing AGN luminosity, consistent with the predictions of the receding torus model. The line ratios of broad emission lines, including H$\alpha$, Pa$\beta$, and Pa$\alpha$, are in good agreement with predictions from Case B recombination, suggesting that internal extinction is almost negligible. The equivalent widths of these emission lines are proportional to AGN luminosity, contrary to the trend expected from the Baldwin effect. Finally, the shape of the composite is sensitive to host-galaxy contamination, which must be considered when utilizing this QSO composite for subsequent scientific applications.
Figures
Reference graph
Works this paper leans on
-
[1]
G., Aguilar, J., Ahlen, S., et al
Adame, A. G., Aguilar, J., Ahlen, S., et al. 2025, JCAP, 2025, 021, doi: 10.1088/1475-7516/2025/02/021
-
[2]
Akeson, R., Dubois-Felsmann, G. P., Crill, B. P., et al. 2025, arXiv e-prints, arXiv:2511.15823, doi: 10.48550/arXiv.2511.15823 14Kim et al. Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10....
-
[3]
Baldwin, J. A. 1977, ApJ, 214, 679, doi: 10.1086/155294
doi:10.1086/155294 1977
-
[4]
Bock, J. J., Aboobaker, A. M., Adamo, J., et al. 2026, ApJ, 999, 139, doi: 10.3847/1538-4357/ae2be2
-
[5]
Bonning, E. W., Cheng, L., Shields, G. A., Salviander, S., & Gebhardt, K. 2007, ApJ, 659, 211, doi: 10.1086/510712
doi:10.1086/510712 2007
-
[6]
Boroson, T. A., & Green, R. F. 1992, ApJS, 80, 109, doi: 10.1086/191661
doi:10.1086/191661 1992
-
[7]
2023, ApJ, 944, 107, doi: 10.3847/1538-4357/acb3c2
Chaussidon, E., Y` eche, C., Palanque-Delabrouille, N., et al. 2023, ApJ, 944, 107, doi: 10.3847/1538-4357/acb3c2
-
[8]
Croom, S. M., Rhook, K., Corbett, E. A., et al. 2002, MNRAS, 337, 275, doi: 10.1046/j.1365-8711.2002.05910.x
-
[9]
Davies, F. B., Hennawi, J. F., Ba˜ nados, E., et al. 2018, ApJ, 864, 142, doi: 10.3847/1538-4357/aad6dc
-
[10]
Dayal, P., Volonteri, M., Greene, J. E., et al. 2025, A&A, 697, A211, doi: 10.1051/0004-6361/202449331
-
[11]
Dietrich, M., Hamann, F., Shields, J. C., et al. 2002, ApJ, 581, 912, doi: 10.1086/344410
doi:10.1086/344410 2002
-
[12]
Fabian, A. C. 2012, ARA&A, 50, 455, doi: 10.1146/annurev-astro-081811-125521
-
[13]
Fan, X., Strauss, M. A., Richards, G. T., et al. 2006, AJ, 131, 1203, doi: 10.1086/500296
doi:10.1086/500296 2006
-
[14]
Francis, P. J., Hewett, P. C., Foltz, C. B., et al. 1991, ApJ, 373, 465, doi: 10.1086/170066
doi:10.1086/170066 1991
-
[15]
2024, ApJS, 271, 54, doi: 10.3847/1538-4365/ad2ae6
Fu, Y., Wu, X.-B., Li, Y., et al. 2024, ApJS, 271, 54, doi: 10.3847/1538-4365/ad2ae6
-
[16]
Giveon, U., Maoz, D., Kaspi, S., Netzer, H., & Smith, P. S. 1999, MNRAS, 306, 637, doi: 10.1046/j.1365-8711.1999.02556.x
-
[17]
Glikman, E., Helfand, D. J., & White, R. L. 2006, ApJ, 640, 579, doi: 10.1086/500098
doi:10.1086/500098 2006
-
[18]
Gordon, K. D., Clayton, G. C., Decleir, M., et al. 2023, ApJ, 950, 86, doi: 10.3847/1538-4357/accb59
-
[19]
J., Forster, K., & Kuraszkiewicz, J
Green, P. J., Forster, K., & Kuraszkiewicz, J. 2001, ApJ, 556, 727, doi: 10.1086/321600
doi:10.1086/321600 2001
-
[20]
Greene, J. E., & Ho, L. C. 2005, ApJ, 630, 122, doi: 10.1086/431897 Hern´ an-Caballero, A., Hatziminaoglou, E., Alonso-Herrero, A., & Mateos, S. 2016, MNRAS, 463, 2064, doi: 10.1093/mnras/stw2107
doi:10.1086/431897 2005
-
[21]
Ho, L. C. 2005, ApJ, 629, 680, doi: 10.1086/431643 H¨ onig, S. F., & Beckert, T. 2007, MNRAS, 380, 1172, doi: 10.1111/j.1365-2966.2007.12157.x
doi:10.1086/431643 2005
-
[22]
Hou, J., S´ anchez, A. G., Ross, A. J., et al. 2021, MNRAS, 500, 1201, doi: 10.1093/mnras/staa3234
-
[23]
Hui, H., Bock, J. J., Condon, S., et al. 2026, ApJS, 284, 10, doi: 10.3847/1538-4365/ae522c
-
[24]
Kaspi, S., Smith, P. S., Netzer, H., et al. 2000, ApJ, 533, 631, doi: 10.1086/308704
doi:10.1086/308704 2000
-
[25]
2010, ApJ, 724, 386, doi: 10.1088/0004-637X/724/1/386
Kim, D., Im, M., & Kim, M. 2010, ApJ, 724, 386, doi: 10.1088/0004-637X/724/1/386
-
[26]
Kim, D., Im, M., Kim, J. H., et al. 2015, ApJS, 216, 17, doi: 10.1088/0067-0049/216/1/17
-
[27]
Kim, J. H., Im, M., Lee, H. M., et al. 2012, ApJ, 760, 120, doi: 10.1088/0004-637X/760/2/120
-
[28]
Kim, J. H., Im, M., Kim, D., et al. 2019, PASJ, 71, 25, doi: 10.1093/pasj/psy144
-
[29]
Kim, M., Ho, L. C., & Im, M. 2006, ApJ, 642, 702, doi: 10.1086/501422
-
[30]
Kim, M., Son, S., & Ho, L. C. 2024, A&A, 689, A27, doi: 10.1051/0004-6361/202450413
-
[31]
Kim, S., Kim, M., Son, S., & Ho, L. C. 2026, ApJ, 1000, 245, doi: 10.3847/1538-4357/ae4ecd
-
[32]
2015, ApJL, 813, L35, doi: 10.1088/2041-8205/813/2/L35
Kim, Y., Im, M., Jeon, Y., et al. 2015, ApJL, 813, L35, doi: 10.1088/2041-8205/813/2/L35
-
[33]
Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511, doi: 10.1146/annurev-astro-082708-101811
-
[34]
Korngut, P. M., Bock, J. J., Condon, S., et al. 2026, arXiv e-prints, arXiv:2603.29835, doi: 10.48550/arXiv.2603.29835 Kovaˇ cevi´ c, J., Popovi´ c, L.ˇC., & Dimitrijevi´ c, M. S. 2010, ApJS, 189, 15, doi: 10.1088/0067-0049/189/1/15
-
[35]
1991, MNRAS, 252, 586, doi: 10.1093/mnras/252.4.586
Lawrence, A. 1991, MNRAS, 252, 586, doi: 10.1093/mnras/252.4.586
-
[36]
Lusso, E., Worseck, G., Hennawi, J. F., et al. 2015, MNRAS, 449, 4204, doi: 10.1093/mnras/stv516
-
[37]
Lyke, B. W., Higley, A. N., McLane, J. N., et al. 2020, ApJS, 250, 8, doi: 10.3847/1538-4365/aba623
-
[38]
2013, MNRAS, 430, 3445, doi: 10.1093/mnras/stt143
Ma, X.-C., & Wang, T.-G. 2013, MNRAS, 430, 3445, doi: 10.1093/mnras/stt143
-
[39]
2024, ApJ, 971, 75, doi: 10.3847/1538-4357/ad5ce8
Madau, P., Giallongo, E., Grazian, A., & Haardt, F. 2024, ApJ, 971, 75, doi: 10.3847/1538-4357/ad5ce8
-
[40]
2007, A&A, 468, 979, doi: 10.1051/0004-6361:20077252
Maiolino, R., Shemmer, O., Imanishi, M., et al. 2007, A&A, 468, 979, doi: 10.1051/0004-6361:20077252
-
[41]
McLure, R. J., & Jarvis, M. J. 2002, MNRAS, 337, 109, doi: 10.1046/j.1365-8711.2002.05871.x
-
[42]
1997, AJ, 114, 228, doi: 10.1086/118467
Merritt, D. 1997, AJ, 114, 228, doi: 10.1086/118467
doi:10.1086/118467 1997
-
[43]
2020, MNRAS, 499, 210, doi: 10.1093/mnras/staa2780
Neveux, R., Burtin, E., de Mattia, A., et al. 2020, MNRAS, 499, 210, doi: 10.1093/mnras/staa2780
-
[44]
2024, ApJ, 974, 153, doi: 10.3847/1538-4357/ad6e76
Ren, W., Guo, H., Shen, Y., et al. 2024, ApJ, 974, 153, doi: 10.3847/1538-4357/ad6e76
-
[45]
Richards, G. T., Fan, X., Newberg, H. J., et al. 2002, AJ, 123, 2945, doi: 10.1086/340187 QSO Composite Spectrum from SPHEREx15
doi:10.1086/340187 2002
-
[46]
T., Lacy, M., Storrie-Lombardi, L
Richards, G. T., Lacy, M., Storrie-Lombardi, L. J., et al. 2006, ApJS, 166, 470, doi: 10.1086/506525
doi:10.1086/506525 2006
-
[47]
Robertson, B. E., Ellis, R. S., Furlanetto, S. R., & Dunlop, J. S. 2015, ApJL, 802, L19, doi: 10.1088/2041-8205/802/2/L19
-
[48]
Ross, N. P., Myers, A. D., Sheldon, E. S., et al. 2012, ApJS, 199, 3, doi: 10.1088/0067-0049/199/1/3
-
[49]
Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103, doi: 10.1088/0004-637X/737/2/103
-
[50]
Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525, doi: 10.1086/305772
doi:10.1086/305772 1998
-
[51]
Selsing, J., Fynbo, J. P. U., Christensen, L., & Krogager, J.-K. 2016, A&A, 585, A87, doi: 10.1051/0004-6361/201527096
-
[52]
I., & Sunyaev, R
Shakura, N. I., & Sunyaev, R. A. 1973, A&A, 24, 337
1973
-
[53]
Shen, Y., & Ho, L. C. 2014, Nature, 513, 210, doi: 10.1038/nature13712
-
[54]
Shen, Y., Richards, G. T., Strauss, M. A., et al. 2011, ApJS, 194, 45, doi: 10.1088/0067-0049/194/2/45
-
[55]
Shen, Y., Hall, P. B., Horne, K., et al. 2019, ApJS, 241, 34, doi: 10.3847/1538-4365/ab074f
-
[56]
2025, ApJ, 985, 107, doi: 10.3847/1538-4357/adc57f
Shim, H., Baek, J., Kim, D., et al. 2025, ApJ, 985, 107, doi: 10.3847/1538-4357/adc57f
-
[57]
Silk, J., & Rees, M. J. 1998, A&A, 331, L1, doi: 10.48550/arXiv.astro-ph/9801013
-
[58]
2005, MNRAS, 360, 565, doi: 10.1111/j.1365-2966.2005.09043.x
Simpson, C. 2005, MNRAS, 360, 565, doi: 10.1111/j.1365-2966.2005.09043.x
-
[59]
Son, S., Kim, M., & Ho, L. C. 2022, ApJ, 927, 107, doi: 10.3847/1538-4357/ac4dfc
-
[60]
Son, S., Kim, M., & Ho, L. C. 2023, ApJ, 953, 175, doi: 10.3847/1538-4357/ace165
-
[61]
Son, S., Kim, M., Ho, L. C., & Li, R. 2025, ApJ, 995, 37, doi: 10.3847/1538-4357/ae1ef1
-
[62]
Stern, D., Assef, R. J., Benford, D. J., et al. 2012, ApJ, 753, 30, doi: 10.1088/0004-637X/753/1/30
-
[63]
Storey-Fisher, K., Hogg, D. W., Rix, H.-W., et al. 2024, ApJ, 964, 69, doi: 10.3847/1538-4357/ad1328 Vanden Berk, D. E., Richards, G. T., Bauer, A., et al. 2001, AJ, 122, 549, doi: 10.1086/321167
-
[64]
2002, ApJ, 571, 733, doi: 10.1086/340045
Vestergaard, M. 2002, ApJ, 571, 733, doi: 10.1086/340045
doi:10.1086/340045 2002
-
[65]
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2
-
[66]
Voit, G. M. 1992, MNRAS, 258, 841, doi: 10.1093/mnras/258.4.841
-
[67]
Wilhite, B. C., Vanden Berk, D. E., Kron, R. G., et al. 2005, ApJ, 633, 638, doi: 10.1086/430821
doi:10.1086/430821 2005
-
[68]
2022, ApJS, 263, 42, doi: 10.3847/1538-4365/ac9ead
Wu, Q., & Shen, Y. 2022, ApJS, 263, 42, doi: 10.3847/1538-4365/ac9ead
-
[69]
Xie, Y., & Ho, L. C. 2019, ApJ, 884, 136, doi: 10.3847/1538-4357/ab4200
-
[70]
Xie, Y., & Ho, L. C. 2022, ApJ, 925, 218, doi: 10.3847/1538-4357/ac32e2
-
[71]
2023, ApJS, 264, 9, doi: 10.3847/1538-4365/ac9ea8
Yang, Q., & Shen, Y. 2023, ApJS, 264, 9, doi: 10.3847/1538-4365/ac9ea8
-
[72]
Zhuang, M.-Y., & Ho, L. C. 2020, ApJ, 896, 108, doi: 10.3847/1538-4357/ab8f2e
-
[73]
Zhuang, M.-Y., Ho, L. C., & Shangguan, J. 2021, ApJ, 906, 38, doi: 10.3847/1538-4357/abc94d 16Kim et al. T able A1.Median SPHEREx QSO Composite Spectra for Subsamples Divided byL bol. bol0 bol1 bol2 bol3 bol4 λrest fν λrest fν λrest fν λrest fν λrest fν 0.2420 0.0926 0.2232 0.2928 0.1967 0.1800 0.1712 0.1981 0.1408 0.3753 0.2475 0.0834 0.2258 0.3503 0.201...
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.