pith. sign in

arxiv: 2605.29616 · v1 · pith:3IMCKGTFnew · submitted 2026-05-28 · 🌌 astro-ph.GA · astro-ph.HE

An Obscured Tidal Disruption Event Uncovered by Its Mid- and Near-Infrared Dust Echo in a Star-Forming Galaxy

Pith reviewed 2026-06-29 06:44 UTC · model grok-4.3

classification 🌌 astro-ph.GA astro-ph.HE
keywords tidal disruption eventinfrared flaredust echoobscured TDEstar-forming galaxymid-infrared outburstdust radiative transfer
0
0 comments X

The pith

An infrared flare in a star-forming galaxy is produced by dust reprocessing a UV flare from an obscured tidal disruption event.

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

The paper studies a mid-infrared outburst in SDSS J010320.39+140152.5 that peaked at 5.4 times 10^43 solar luminosities, stayed bright for roughly a year, and showed no optical variability. Near-infrared imaging placed the flare at the galactic nucleus to within 100 parsecs, and the spectral energy distribution matches thermal dust emission at about 900 K. A dust radiative transfer model converts the observed infrared output into an inferred peak UV luminosity of 4 to 10 times 10^44 erg per second and a total energy release of 0.9 to 2 times 10^52 erg. The authors rule out a supernova and favor an obscured tidal disruption event over a changing-look AGN, arguing that such dust-hidden events help explain why optical TDE surveys find few star-forming hosts.

Core claim

The infrared flare's luminosity evolution, nuclear location, lack of optical counterpart, and energy budget are produced by dust reprocessing of a transient UV flare whose properties match those expected from a tidal disruption event rather than other known transients.

What carries the argument

Dust radiative transfer model that converts the observed mid- and near-infrared photometry into the underlying UV luminosity and total energy release.

If this is right

  • Optical TDE surveys miss a population of dust-obscured events in star-forming galaxies.
  • Mid-infrared monitoring is required to obtain a complete census of tidal disruption events.
  • The inferred energy release of order 10^52 erg is consistent with the expected output of a TDE.
  • Dust-obscured TDEs may account for part of the observed preference for TDEs in post-starburst galaxies.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • TDE rates inferred from optical data alone are likely underestimates.
  • Similar mid-infrared flares in other star-forming galaxies could be searched for with existing all-sky infrared surveys.
  • The 100-parsec localization precision already achieved suggests that future infrared facilities could test whether every such flare is strictly nuclear.

Load-bearing premise

The observed infrared properties and derived energy are produced by dust reprocessing a TDE UV flare rather than by alternative transients.

What would settle it

Detection of X-ray or UV emission during the flare or optical spectra showing AGN-like broad lines would falsify the obscured TDE interpretation.

Figures

Figures reproduced from arXiv: 2605.29616 by Fabao Zhang, Hui Liu, Jiazheng Zhu, Liming Dou, Luming Sun, Ning Jiang, Roc M. Cutri, Tinggui Wang, Xinwen Shu, Yibo Wang, Zhenfeng Sheng.

Figure 1
Figure 1. Figure 1: The multi-wavelength light curves of J0103+1401 in WISE W1/W2 (blue circles/red diamonds), CFHT J/H/K (green up/olive right/orange left triangles), ATLAS o/c (brown/cyan pentagons), CRTS V (orange hexagons), ASASSN V/g (orange/green thin diamonds), ZTF g/r (green/violet down triangles), VLA C (blue x, VLASS S (purple circles), and RACS-low (red pentagons), middle (orange squares), high (magenta stars) band… view at source ↗
Figure 2
Figure 2. Figure 2: Imaging subtraction results. We show results in W2 and W1 bands at epochs 10 (first detection) and 11, and those in K, H, and J bands at epoch 1. From top to bottom rows are the quiescence states, flare states, and the differences between them. All the cutouts are centered at the optical center of the host galaxy. 3. DATA ANALYSIS 3.1. Occurrence time and position of the flare With the MIR light curves obt… view at source ↗
Figure 3
Figure 3. Figure 3: SED analysis of the IR flare. a, The MIR light curves and the NIR-to-MIR SEDs of the flare. b, From top to bottom rows are the blackbody luminosity, the integrated energy, the blackbody temperature, and the blackbody radius of the flare. the MIR flare. Due to the slow variation in the MIR band, we linearly interpolated the MIR light curves to obtain the MIR fluxes simultaneous with the NIR observations. Th… view at source ↗
Figure 4
Figure 4. Figure 4: Upper Panel: SDSS, DBSP spectra of J0103+1401. We add a constant to DBSP spectra for clarity. We labeled the fake feature in the SDSS spectrum due to the bright sky. Lower panels: the partial enlargement of the starlight-subtracted spectrum around the Hα emission lines, and the best-fitting narrow line models. 2.0 1.5 1.0 0.5 0.0 0.5 log([NII] 6583 / H ) 1.0 0.5 0.0 0.5 1.0 1.5 lo g([O I I I] 5 0 0 7 / H )… view at source ↗
Figure 5
Figure 5. Figure 5: BPT diagrams of J0103+1401. a, The [O III]/Hβ verse [N II]/Hα diagnostic diagram. The Ke01 (Kewley et al. 2001) extreme starburst line and the Ka03 (Kauffmann et al. 2003) classification line are shown as the red solid and blue dashed lines, respectively. b, The [O III]/Hβ verse [S II]/Hα diagnostic diagram. c, The [O III]/Hβ versus [O I]/Hα diagnostic diagram (Kewley et al. 2006) [PITH_FULL_IMAGE:figures… view at source ↗
Figure 7
Figure 7. Figure 7: 887.5 − 5500 MHz radio spectrum of J0103+1401. The solid black lines are the fitted power laws in the 887.5 − 2988 MHz and 2988 − 5500 MHz bands. Since the host galaxy has a high star formation rate of ∼ 6 M⊙ yr−1 , we examined whether the observed radio emission can be explained by star formation. We present the radio SED in [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: The best-fitting IR echo model (requiring the minimum systematic error in the MCMC). We show the light curve of the primary UV radiation in grey, and the predicted light curves in W1 and W2 bands in blue and red, respectively. The W2-band data and model are multiplied by 2 for clarity. To infer the properties of the primary UV radiation, we fit￾ted the observed IR light curves with the dust radiative trans… view at source ↗
read the original abstract

We present a comprehensive study of an infrared (IR) flare in the star-forming galaxy SDSS J010320.39+140152.5, which is selected from the sample of mid-IR (MIR) outbursts in nearby galaxies (MIRONG). Its MIR luminosity rose rapidly to a peak of $\sim5.4\times10^{43}$ \lum, maintained in the high state for about a year, and decreased continuously afterward. No optical variability was detected throughout the IR flare. Near-IR follow-up observations around the peak pinpointed the flare's location to spatially coincide with the galactic nucleus, with a $3\sigma$ upper limit of the offset of $\lesssim100$ pc. The IR spectral energy distribution (SED) of the flare is consistent with thermal emission of dust with temperatures of $\sim900$ K. Using a dust radiative transfer model, we inferred a peak UV luminosity of $\sim(4-10)\times10^{44}$ erg s$^{-1}$ and a total energy of $\sim(0.9-2)\times10^{52}$ ergs released. We ruled out the possibility of a supernova, and prefer that the IR flare originated from an obscured tidal disruption event (TDE) rather than a changing-look active galactic nucleus (AGN). This flare stands as one of the most compelling cases to date for the emerging class of dust-obscured TDEs in recent years. They are missed by optical surveys, partly accounting for the observed bias in TDE host galaxies, and represent a crucial, yet often overlooked, component for a complete understanding of the TDE population.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. The manuscript reports an infrared flare in the star-forming galaxy SDSS J010320.39+140152.5 from the MIRONG sample. The flare reached a peak MIR luminosity of ~5.4×10^43 L⊙, stayed elevated for ~1 year, then declined, with no detected optical variability and a nuclear position (offset ≲100 pc). The IR SED is fit by ~900 K dust; a dust radiative transfer model yields an inferred peak UV luminosity of (4-10)×10^44 erg s^{-1} and total energy (0.9-2)×10^52 erg. Supernovae are excluded and an obscured TDE is preferred over a changing-look AGN, positioning the event as one of the strongest examples of dust-obscured TDEs.

Significance. If the classification holds, the result is significant because it supplies a quantitatively modeled example of an obscured TDE in a star-forming host, directly addressing the known bias against such hosts in optically selected TDE samples. The dust-echo modeling that converts observed IR photometry into intrinsic UV energy release constitutes a reproducible, falsifiable step that strengthens the case relative to purely qualitative arguments.

minor comments (2)
  1. [Abstract] Abstract: peak luminosity, duration, and derived UV quantities are given with approximate symbols but without explicit uncertainties or ranges; the full text should ensure all modeled outputs (e.g., luminosity, energy) are accompanied by the uncertainties propagated from the photometry and model parameters.
  2. [Abstract] Abstract: the statement that this is 'one of the most compelling cases' is qualitative; a brief, quantitative comparison (e.g., energy release or covering factor) to the handful of previously published obscured TDEs would make the claim more precise.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive and accurate summary of our manuscript, as well as for highlighting its significance in addressing biases in TDE host galaxy samples through dust-echo modeling. The recommendation for minor revision is noted. However, the report lists no specific major comments under the MAJOR COMMENTS section. We therefore have no individual points requiring rebuttal or revision at this stage and stand ready to address any minor editorial suggestions.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The derivation chain begins from observed MIR photometry, nuclear positional coincidence, absence of optical variability, and an IR SED fitted to a standard dust radiative transfer model that yields an inferred UV luminosity and total energy. These quantities are then compared against external literature values for TDE energies, supernova luminosities, and AGN variability to prefer an obscured TDE classification. No step reduces a claimed prediction to a fitted parameter by construction, invokes a self-citation as a uniqueness theorem, or renames an input as an output; the model application and exclusion arguments remain independent of the final preference.

Axiom & Free-Parameter Ledger

2 free parameters · 2 axioms · 0 invented entities

The interpretation depends on standard domain assumptions about dust heating and transient classification plus two model-derived quantities; no new entities are postulated.

free parameters (2)
  • Dust temperature = ~900 K
    Fitted to match the observed IR SED shape.
  • Inferred UV luminosity = (4-10) x 10^44 erg s^-1
    Derived via dust radiative transfer model from observed IR flux.
axioms (2)
  • domain assumption The infrared emission arises from thermal dust reprocessing of a central ultraviolet flare.
    Invoked to convert observed IR luminosity into intrinsic UV energy.
  • ad hoc to paper The transient is neither a supernova nor a changing-look AGN.
    Stated preference after qualitative comparison with expected properties of those classes.

pith-pipeline@v0.9.1-grok · 5875 in / 1405 out tokens · 36949 ms · 2026-06-29T06:44:50.384797+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

152 extracted references · 144 canonical work pages · 16 internal anchors

  1. [1]

    Multiple accelerated particle populations in the Cygnus Loop with Fermi-LAT

    thebibliography [1] 20pt to REFERENCES 6pt =0pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command Each re...

  2. [2]

    M., Mooley, K

    Anderson, M. M., Mooley, K. P., Hallinan, G., et al.\ 2020, , 903, 116, doi:10.3847/1538-4357/abb94b

  3. [3]

    Arcavi, I., Gal-Yam, A., Sullivan, M., et al.\ 2014, , 793, 38, doi:10.1088/0004-637X/793/1/38

  4. [4]

    Bade, N., Komossa, S., & Dahlem, M.\ 1996, , 309, L35

  5. [5]

    A., Phillips, M

    Baldwin, J. A., Phillips, M. M., & Terlevich, R.\ 1981, , 93, 5, doi:10.1086/130766

  6. [6]

    Becker, A.\ 2015, HOTPANTS: High Order Transform of PSF ANd Template Subtraction, Astrophysics Source Code Library, ascl:1504.004

  7. [7]

    C., Kulkarni, S

    Bellm, E. C., Kulkarni, S. R., Barlow, T., et al.\ 2019, , 131, 068003, doi:10.1088/1538-3873/ab0c2a

  8. [8]

    Benetti, S., Nicholl, M., Cappellaro, E., et al.\ 2014, , 441, 289, doi:10.1093/mnras/stu538

  9. [9]

    2021, extinction: Dust extinction laws, Astrophysics Source Code Library, record ascl:2102.026

    Barbary, K. 2021, extinction: Dust extinction laws, Astrophysics Source Code Library, record ascl:2102.026

  10. [10]

    Bertin, E., Arnouts, S.\ 1996, , 117, 393, doi:10.1051/aas:1996164

  11. [11]

    Bertin, E., Mellier, Y., Radovich, M., et al.\ 2002, in ASP Conf. Ser. 281, Astronomical Data Analysis Software and Systems XI, ed. D. A. Bohlender, D. Durand, & T. H. Handley (San Francisco, CA: ASP), 228

  12. [12]

    Bertin, E.\ 2006, in ASP Conf. Ser. 351, Astronomical Data Analysis Software and Systems XV, ed. C. Gabriel, et al. (San Francisco, CA: ASP), 112

  13. [13]

    Boquien, M., Burgarella, D., Roehlly, Y., et al.\ 2019, , 622, A103, doi:10.1051/0004-6361/201834156

  14. [14]

    Bradley, L., Sip o cz, B., Robitaille, T., et al.\ 2025, astropy/photutils: 2.3.0, doi:10.5281/zenodo.17129028

  15. [15]

    Bruzual, G., Charlot, S.\ 2003, , 344, 1000, doi:10.1046/j.1365-8711.2003.06897.x

  16. [16]

    Burgarella, D., Buat, V., & Iglesias-P \'a ramo, J.\ 2005, , 360, 1413, doi:10.1111/j.1365-2966.2005.09131.x

  17. [17]

    N., Hill, J

    Burrows, D. N., Hill, J. E., Nousek, J., et al.\ 2005, Space science reviews, 120, 165, doi:10.1007/s11214-005-5097-2

  18. [18]

    The Dust Content and Opacity of Actively Star-Forming Galaxies

    Calzetti, D., Armus, L., Bohlin, R. C., et al.\ 2000, , 533, 682, doi:10.1086/308692

  19. [19]

    Cappellari, M., Emsellem, E.\ 2004, , 116, 138, doi:10.1086/381875

  20. [20]

    Cappellari, M.\ 2017, , 466, 798, doi:10.1093/mnras/stw3020

  21. [21]

    A., Clayton, G

    Cardelli, J. A., Clayton, G. C., & Mathis, J. S.\ 1989, , 345, 245, doi:10.1086/167900

  22. [22]

    D., Chornock, R., et al.\ 2024, , 971, 185, doi:10.3847/1538-4357/ad5541

    Cendes, Y., Berger, E., Alexander, K. D., Chornock, R., et al.\ 2024, , 971, 185, doi:10.3847/1538-4357/ad5541

  23. [23]

    C., Vinko, J., et al.\ 2011, , 729, 143, doi:10.1088/0004-637X/729/2/143

    Chatzopoulos, E., Wheeler, J. C., Vinko, J., et al.\ 2011, , 729, 143, doi:10.1088/0004-637X/729/2/143

  24. [24]

    \ 2009, , 697, L149, doi:10.1088/0004-637X/697/2/L149

    Chen, X., Madau, P., Sesana, A., et al. \ 2009, , 697, L149, doi:10.1088/0004-637X/697/2/L149

  25. [25]

    Ciesla, L., Charmandaris, V., Georgakakis, A., et al.\ 2015, , 576, A10, doi:10.1051/0004-6361/201425252

  26. [26]

    Ciesla, L., Boselli, A., Elbaz, D., et al.\ 2016, , 585, A43, doi:10.1051/0004-6361/201527107

  27. [27]

    J., Cotton, W

    Condon, J. J., Cotton, W. D., Greisen, E. W., et al.\ 1998, , 115, 1693, doi:10.1086/300337

  28. [28]

    R., Armitage, P

    Coughlin, E. R., Armitage, P. J., Lodato, G., et al.\ 2019, , 215, 45, doi:10.1007/s11214-019-0612-z

  29. [29]

    B., Shu, X

    Dai, B. B., Shu, X. W., Jiang, N., et al.\ 2020, , 896, L27, doi:10.3847/2041-8213/ab97ac

  30. [30]

    A., Helou, G., Magdis, G

    Dale, D. A., Helou, G., Magdis, G. E., et al.\ 2014, , 784, 83, doi:10.1088/0004-637X/784/1/83

  31. [31]

    Davies, L. J. M., Huynh, M. T., Seymour, N., et al.\ 2017, , 466, 2312, doi:10.1093/mnras/stw3080

  32. [32]

    Dou, L., Wang, T.G., Jiang, N., Yang, C., Lyu, J., Zhou, H.\ 2016, , 832, 188, doi:10.3847/0004-637X/832/2/188

  33. [33]

    Dou, L., Wang, T., Yan, L, et al.\ 2017, , 841, L8, doi:10.3847/2041-8213/aa7130

  34. [34]

    T., Lee, H

    Draine, B. T., Lee, H. M.\ 1984, , 285, 89, doi:10.1086/162480

  35. [35]

    T., Malhotra, S.\ 1993, , 414, 632, doi:10.1086/173109

    Draine, B. T., Malhotra, S.\ 1993, , 414, 632, doi:10.1086/173109

  36. [36]

    J., Djorgovski, S

    Drake, A. J., Djorgovski, S. G., Mahabal, A., et al.\ 2009, , 696, 870, doi:10.1088/0004-637X/696/1/870

  37. [37]

    J., Djorgovski, S

    Drake, A. J., Djorgovski, S. G., Prieto, J. L., et al.\ 2010, , 718, L127, doi:10.1088/2041-8205/718/2/L127

  38. [38]

    Dressler, A., Gunn, J.E.\ 1983, , 270, 7, doi:10.1086/161093

  39. [39]

    Dwek, E.\ 1983, , 274, 175, doi:10.1086/161435

  40. [40]

    D., Ramirez-Ruiz, E., et al.\ 2025, , 983, 28, doi:10.3847/1538-4357/adb974

    Earl, N., French, K. D., Ramirez-Ruiz, E., et al.\ 2025, , 983, 28, doi:10.3847/1538-4357/adb974

  41. [41]

    D., Skrutskie, F., Chevalier, R

    Fox, O. D., Skrutskie, F., Chevalier, R. A., et al.\ 2009, , 691, 650, doi:10.1088/0004-637x/691/1/650

  42. [42]

    D., Chevalier, R

    Fox, O. D., Chevalier, R. A., Dwek, E., et al.\ 2010, , 725, 1768, doi:10.1088/0004-637x/725/2/1768

  43. [43]

    D., Chevalier, R

    Fox, O. D., Chevalier, R. A., Skrutskie, M. F., et al.\ 2011, , 741, 7, doi:10.1088/0004-637X/741/1/7

  44. [44]

    D., Filippenko, A

    Fox, O. D., Filippenko, A. V., Skrutskie, M. F., et al.\ 2013, , 146, 2, doi:10.1088/0004-6256/146/1/2

  45. [45]

    D., Khandrika, H., Rubin, D., et al.\ 2021, , 506, 4199, doi:10.1093/mnras/stab1740

    Fox, O. D., Khandrika, H., Rubin, D., et al.\ 2021, , 506, 4199, doi:10.1093/mnras/stab1740

  46. [46]

    D., Arcavi, I., Zabludoff, A.\ 2016, , 818, L21, doi:10.3847/2041-8205/818/1/L21

    French, K. D., Arcavi, I., Zabludoff, A.\ 2016, , 818, L21, doi:10.3847/2041-8205/818/1/L21

  47. [47]

    D., Wevers, T., Law-Smith, J., et al.\ 2020, , 216, 32, doi:10.1007/s11214-020-00657-y

    French, K. D., Wevers, T., Law-Smith, J., et al.\ 2020, , 216, 32, doi:10.1007/s11214-020-00657-y

  48. [48]

    Fritz, J., Franceschini, A., Hatziminaoglou, E.\ 2006, , 366, 767, doi:10.1111/j.1365-2966.2006.09866.x

  49. [49]

    R., Vincenzi, M., et al.\ 2021, , 500, 5142, doi:10.1093/mnras/staa3607

    Frohmaier, C., Angus, C. R., Vincenzi, M., et al.\ 2021, , 500, 5142, doi:10.1093/mnras/staa3607

  50. [50]

    Gaia Collaboration, Babusiaux, C., van Leeuwen, F., et al.\ 2018, , 616, A10, doi:10.1051/0004-6361/201832843

  51. [51]

    P., Mather, J

    Gardner, J. P., Mather, J. C., Clampin, M., et al.\ 2006, , 123, 485, doi:10.1007/s11214-006-8315-7

  52. [52]

    Gezari, S.\ 2021, , 59, 21, doi:10.1146/annurev-astro-111720-030029

  53. [53]

    R., Meikle, W

    Graham, J. R., Meikle, W. P. S., Selby, M. J., et al.\ 1983, , 304, 709, doi:10.1038/304709a0

  54. [54]

    D., Zahid, H

    Graur, O., French, K. D., Zahid, H. J., et al.\ 2018, , 853, 39, doi:10.3847/1538-4357/aaa3fd

  55. [55]
  56. [56]

    Grotova, I., Rau, A., Baldini, P., et al.\ 2025, , 697, 159, doi:10.1051/0004-6361/202553669

  57. [57]

    Guillochon, J.\ 2017, Nature Astronomy, 1, 0068, doi:10.1038/s41550-017-0068

  58. [58]

    E., & Quataert, E

    G\"uver, T., \"Ozel, F.\ 2009, , 400, 2050, doi:10.1111/j.1365-2966.2009.15598.x

  59. [59]

    Hammerstein, E., Gezari, S., van Velzen, S., et al.\ 2021, , 908, L20, doi:10.3847/2041-8213/abdcb4

  60. [60]

    M., Armus, L

    Heckman, T. M., Armus, L. & Miley, G. K.\ 1987, , 93, 276, doi:10.1086/114310

  61. [61]

    G.\ 1975, , 254, 295, doi:10.1038/254295a0

    Hills, J. G.\ 1975, , 254, 295, doi:10.1038/254295a0

  62. [62]

    HI4PI Collaboration, Ben Bekhti, N., Fl \"o er , L., et al.\ 2016, , 594, A116, doi:10.1051/0004-6361/201629178

  63. [63]

    D., Giannios, D., & Mimica, P

    Inoue, A. K.\ 2011, , 415, 2920, doi:10.1111/j.1365-2966.2011.18906.x

  64. [64]

    E., Kasliwal, M

    Jencson, J. E., Kasliwal, M. M., Scott M., et al.\ 2019, , 886, 40, doi:10.3847/1538-4357/ab4a01

  65. [65]

    Jiang, N., Wang, T., Yan, L., et al.\ 2017, , 850, 63, doi:10.3847/1538-4357/aa93f5

  66. [66]

    et al.\ 2019, , 871, 15, doi:10.3847/1538-4357/aaf6b2

    Jiang, N., Wang, T., Mou, G. et al.\ 2019, , 871, 15, doi:10.3847/1538-4357/aaf6b2

  67. [67]

    Jiang, N., Dou, L., Wang, T., et al.\ 2016, , 828, L14, doi:10.3847/2041-8205/828/1/L14

  68. [68]

    Jiang, N., Wang, T., Dou, L., et al.\ 2021a, , 252, 32, doi:10.3847/1538-4365/abd1dc

  69. [69]

    Jiang, N., Wang, T., Hu, X., et al.\ 2021b, , 911, 31, doi:10.3847/1538-4357/abe772

  70. [70]

    O., Scolnic, D

    Jones, D. O., Scolnic, D. M., Rodney, S. A., et al.\ 2015, PythonPhot: Simple DAOPHOT-type photometry in Python, Astrophysics Source Code Library, ascl:1501.010

  71. [71]

    Kankare, E., Kotak, R., Mattila, S., et al.\ 2017, Nature Astronomy, 1, 865, doi:10.1038/s41550-017-0290-2

  72. [72]

    M., Tremonti, C., et al.\ 2003, , 346, 1055, doi:10.1111/j.1365-2966.2003.07154.x

    Kauffmann, G., Heckman, T. M., Tremonti, C., et al.\ 2003, , 346, 1055, doi:10.1111/j.1365-2966.2003.07154.x

  73. [73]

    F., Meiron, Y.,

    Kennedy, G. F., Meiron, Y., . Shukirgaliyev, B., et al.\ 2016, , 460, 240, doi:10.1093/mnras/stw908

  74. [74]

    C., Jr.\ 1998, , 36, 189, doi:10.1146/annurev.astro.36.1.189

    Kennicutt, R. C., Jr.\ 1998, , 36, 189, doi:10.1146/annurev.astro.36.1.189

  75. [75]

    J., Dopita, M

    Kewley, L. J., Dopita, M. A., Sutherland, R. S., et al.\ 2001, , 556, 121, doi:10.1086/321545

  76. [76]

    N., & Ogilvie, G

    Kewley, L. J., Groves, B., Kauffmann, G., et al.\ 2006, , 372, 961, doi:10.1111/j.1365-2966.2006.10859.x

  77. [77]

    Klein, U., Lisenfeld, U., & Verley, S.\ 2018, , 611, 55, doi: 10.1051/0004-6361/201731673

  78. [78]

    S., Shappee, B

    Kochanek, C. S., Shappee, B. J., Stanek, K. Z., et al.\ 2017, , doi:10.1088/1538-3873/aa80d9

  79. [79]

    Komossa, S., Zhou, H., Wang, T., et al.\ 2008, , 678, 13, doi:10.1086/588281

  80. [80]

    Komossa, S., Zhou, H., Rau, A., et al.\ 2009, , 701, 105, doi:10.1088/0004-637X/701/1/105

Showing first 80 references.