POLAR-II: modeling star formation history of galaxies on the 21-cm signal from Epoch of Reionization
Pith reviewed 2026-05-15 13:05 UTC · model grok-4.3
The pith
Different star formation histories in galaxies produce distinct ionized region sizes and alter the 21-cm global signal and power spectrum during the Epoch of Reionization, even with fixed total ionizing photons.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Galaxies assigned star formation histories from the L-Galaxies 2020 model generate ionized regions that are slightly larger and warmer than those produced by galaxies with constant star formation rates when the total number of ionizing photons is held fixed. For fixed stellar mass, galaxies with higher stellar-mass-weighted age produce smaller ionized regions. These differences shift the timing and spatial structure of intergalactic medium ionization and heating, which directly modifies both the sky-averaged 21-cm brightness temperature and its spatial power spectrum.
What carries the argument
Post-processing of Jiutian-300 N-body density fields with galaxy catalogs from L-Galaxies 2020 fed into the one-dimensional radiative transfer code Grizzly, which computes ionization and heating while enforcing constant total photon budget across SFH variants.
If this is right
- The global 21-cm signal peaks at a different redshift and has a different amplitude when realistic SFH is used.
- The 21-cm power spectrum shows shifts in both the scale of peak power and its overall normalization.
- Ionized bubble sizes and the patchiness of the reionization topology change systematically with stellar age.
- Gas kinetic temperature inside and around ionized regions rises more rapidly for certain SFH models.
- Inferences about the timing of reionization from 21-cm data become sensitive to the assumed galaxy formation model.
Where Pith is reading between the lines
- Observers may need joint fits of 21-cm data with high-redshift galaxy luminosity functions to separate SFH effects from changes in the total photon budget.
- The same modeling approach could be extended to include explicit merger-triggered bursts to test whether the signal differences grow larger.
- If the 21-cm signal is used to constrain the escape fraction of ionizing photons, SFH modeling uncertainty could introduce a systematic floor on those constraints.
Load-bearing premise
The total number of ionizing photons emitted by each galaxy stays exactly the same no matter how the timing of star formation is rearranged.
What would settle it
Measure the 21-cm power spectrum amplitude at redshift 8 in a large survey volume and check whether the difference between constant-SFR and L-Galaxies SFH predictions exceeds the thermal noise and foreground residual levels expected for SKA-low or HERA.
Figures
read the original abstract
Galaxies may suffer some starburst and quenched periods in their history due to e.g. galaxy mergers and feedback. However, semi-numerical simulations of the Epoch of Reionization (EoR) typically do not accurately model the effects of the star formation history (SFH) of galaxies. Keeping the same total ionizing photon budget from galaxies, we investigate how the ionization and heating of the Intergalactic Medium (IGM), as well as the associated 21-cm signal during the EoR, depends on the variations in the modeling of the SFH of galaxies. We adopt the Jiutian-300 N-body dark matter simulation and the semi-analytic model L-Galaxies 2020 to model galaxy formation. Using the galaxy catalog from L-Galaxies 2020 as input, we post-process the Jiutian-300 density field with the one-dimensional radiative transfer code Grizzly to model the reionization process and the 21-cm signal. We find that the ionized regions produced by galaxies with a SFH derived from L-Galaxies 2020 are slightly larger and warmer than the ones obtained with a constant SFR. For a fixed stellar mass, galaxies produce smaller ionized regions with increasing stellar mass weighted stellar age $\tau_{\rm age}$. This results in a different topology and timing of the IGM ionization and heating obtained from Grizzly. The SFH of galaxies is highly dependent on $\tau_{\rm age}$ and redshift. Different models of the galactic SFH affect the gas heating and ionizing processes during the EoR, and as a consequence also the 21-cm global signal and power spectrum.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper examines how variations in galactic star formation history (SFH) affect the Epoch of Reionization (EoR) by comparing SFHs from the semi-analytic model L-Galaxies 2020 against a constant SFR assumption. Keeping the total ionizing photon budget fixed, the authors post-process the Jiutian-300 N-body density field with the Grizzly 1D radiative transfer code and report that L-Galaxies 2020 SFHs produce slightly larger and warmer ionized regions, altering IGM topology, heating timing, and the resulting 21-cm global signal and power spectrum. The SFH is shown to depend strongly on stellar-mass-weighted age and redshift.
Significance. If the central result holds after addressing normalization concerns, the work demonstrates that realistic, time-varying SFHs (as captured by established semi-analytic models) produce measurable differences in EoR observables compared to the constant-SFR approximation common in semi-numerical codes. This strengthens the case for incorporating detailed galaxy-formation physics when interpreting 21-cm data from instruments such as HERA or SKA. The use of the large-volume Jiutian-300 simulation together with L-Galaxies 2020 provides a reproducible link between N-body merger trees and radiative transfer, which is a concrete strength.
major comments (2)
- [Abstract / Methods] Abstract and methods section: The central claim that differences in ionized-region size and temperature arise purely from SFH shape is load-bearing, yet the fixed total photon budget is enforced by rescaling. If this rescaling is applied globally rather than per-galaxy or per-redshift bin, it can alter the effective escape fraction, stellar-mass-to-halo-mass relation, or source clustering relative to the Jiutian-300 field, potentially driving the reported topology changes instead of the SFH timing itself. A quantitative test (e.g., photon output before/after rescaling per halo) is required to isolate the effect.
- [Results] Results on ionized regions: The statement that regions are 'slightly larger and warmer' for L-Galaxies 2020 SFHs lacks reported quantitative metrics (mean bubble size, volume-weighted temperature difference, or ionization fraction histograms) and error bars. Without these, it is impossible to judge whether the differences are large enough to affect the 21-cm power spectrum at observable scales.
minor comments (2)
- [Abstract] The abstract would benefit from a one-sentence statement of the redshift range and simulation volume used, as these set the scale of the reported 21-cm signal differences.
- [Methods] Notation: Define the stellar-mass-weighted age τ_age explicitly on first use and clarify how it is computed from the L-Galaxies 2020 catalog.
Simulated Author's Rebuttal
We thank the referee for the constructive and detailed comments on our manuscript. These have prompted us to clarify the normalization procedure and strengthen the quantitative presentation of our results. We address each major comment below.
read point-by-point responses
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Referee: [Abstract / Methods] Abstract and methods section: The central claim that differences in ionized-region size and temperature arise purely from SFH shape is load-bearing, yet the fixed total photon budget is enforced by rescaling. If this rescaling is applied globally rather than per-galaxy or per-redshift bin, it can alter the effective escape fraction, stellar-mass-to-halo-mass relation, or source clustering relative to the Jiutian-300 field, potentially driving the reported topology changes instead of the SFH timing itself. A quantitative test (e.g., photon output before/after rescaling per halo) is required to isolate the effect.
Authors: We appreciate the referee's emphasis on isolating the effect of SFH timing. In our post-processing pipeline, the rescaling to enforce a fixed total ionizing photon budget is performed individually for each galaxy: the L-Galaxies 2020 SFH is used to determine the temporal distribution of star formation, after which the total photon output per galaxy is normalized to match the constant-SFR case while preserving the galaxy's stellar mass and position in the Jiutian-300 density field. This per-galaxy approach leaves the stellar-mass-to-halo-mass relation, escape fraction, and source clustering unchanged. We have added a quantitative comparison (new panel in Figure 2 and text in Section 2.3) showing the photon production rate per halo before and after rescaling, confirming that the total budget per source is identical and that topology differences originate from the timing of photon emission rather than normalization artifacts. revision: yes
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Referee: [Results] Results on ionized regions: The statement that regions are 'slightly larger and warmer' for L-Galaxies 2020 SFHs lacks reported quantitative metrics (mean bubble size, volume-weighted temperature difference, or ionization fraction histograms) and error bars. Without these, it is impossible to judge whether the differences are large enough to affect the 21-cm power spectrum at observable scales.
Authors: We agree that the original description was insufficiently quantitative. In the revised Results section (new subsection 3.2), we now report the mean ionized bubble radius (with 1-sigma scatter across the simulation volume), the volume-weighted IGM temperature difference between the two SFH models, and ionization-fraction histograms at key redshifts. Error bars are derived from the full Jiutian-300 volume. These metrics show that the differences, while modest, are statistically significant and translate into measurable shifts in the 21-cm power spectrum on scales of 0.1–1 Mpc^{-1}, relevant for upcoming observations. revision: yes
Circularity Check
No significant circularity; derivation relies on external models
full rationale
The paper's chain uses the external L-Galaxies 2020 semi-analytic catalog and Jiutian-300 N-body simulation as inputs to Grizzly radiative transfer, with the fixed total ionizing photon budget stated as an explicit modeling choice rather than derived from the paper's own equations. No self-definitional steps, no fitted parameters renamed as predictions, and no load-bearing self-citations that reduce the central claim to prior author work by construction. The reported differences in ionized regions and 21-cm signal follow directly from varying the SFH input while holding the budget fixed, which is an independent assumption testable against the external catalogs.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption The total ionizing photon budget from galaxies is kept fixed across different SFH models.
Reference graph
Works this paper leans on
-
[1]
Abdurashidova, Z., Aguirre, J. E., Alexander, P., et al. 2022, ApJ, 925, 221
work page 2022
- [2]
-
[3]
Asthana, S., Haehnelt, M. G., Kulkarni, G., et al. 2025, MNRAS, 542, 2968
work page 2025
-
[4]
Bevins, H. T. J., Fialkov, A., de Lera Acedo, E., et al. 2022, Nature Astronomy, 6, 1473
work page 2022
-
[5]
Bhagwat, A., Costa, T., Ciardi, B., Pakmor, R., & Garaldi, E. 2024, MNRAS, 531, 3406
work page 2024
-
[6]
Borrow, J., Kannan, R., Garaldi, E., et al. 2023, MNRAS, 525, 5932
work page 2023
-
[7]
Bosman, S. E. I., Davies, F. B., Becker, G. D., et al. 2022, MNRAS, 514, 55
work page 2022
-
[8]
Bouwens, R., González-López, J., Aravena, M., et al. 2020, ApJ, 902, 112
work page 2020
- [9]
-
[10]
Bowman, J. D., Rogers, A. E. E., Monsalve, R. A., Mozdzen, T. J., & Mahesh, N. 2018, Nature, 555, 67
work page 2018
-
[11]
Carniani, S., Hainline, K., D’Eugenio, F., et al. 2024, Nature, 633, 318
work page 2024
-
[12]
Donnan, C. T., McLure, R. J., Dunlop, J. S., et al. 2024, MNRAS, 533, 3222
work page 2024
-
[13]
B., Ciardi, B., Graziani, L., et al
Eide, M. B., Ciardi, B., Graziani, L., et al. 2020, MNRAS, 498, 6083
work page 2020
-
[14]
Eldridge, J. J., Stanway, E. R., Xiao, L., et al. 2017, PASA, 34, e058
work page 2017
- [15]
-
[16]
Furlanetto, S. R. & Mirocha, J. 2022, MNRAS, 511, 3895
work page 2022
- [17]
-
[18]
Gelli, V., Mason, C., & Hayward, C. C. 2024, ApJ, 975, 192
work page 2024
- [19]
- [20]
-
[21]
Gnedin, N. Y. 2014, ApJ, 793, 29
work page 2014
-
[22]
Gnedin, N. Y. 2016, ApJ, 821, 50
work page 2016
-
[23]
Gnedin, N. Y. & Madau, P. 2022, Living Reviews in Computational Astrophysics, 8, 3
work page 2022
-
[24]
2025, Science China Physics, Me- chanics, and Astronomy, 68, 109511
Han, J., Li, M., Jiang, W., et al. 2025, Science China Physics, Me- chanics, and Astronomy, 68, 109511
work page 2025
- [25]
-
[26]
Henriques, B. M. B., Yates, R. M., Fu, J., et al. 2020, MNRAS, 491, 5795
work page 2020
-
[27]
Hills, R., Kulkarni, G., Meerburg, P. D., & Puchwein, E. 2018, Nature, 564, E32
work page 2018
-
[28]
Hutter, A., Dayal, P., Yepes, G., et al. 2021, MNRAS, 503, 3698
work page 2021
-
[29]
Iyer, K. G., Starkenburg, T. K., Bryan, G. L., et al. 2025, arXiv e- prints, arXiv:2508.21152
-
[30]
2022, Nature Astronomy, 6, 850
Jiang, L., Ning, Y., Fan, X., et al. 2022, Nature Astronomy, 6, 850
work page 2022
-
[31]
Kannan, R., Garaldi, E., Smith, A., et al. 2022, MNRAS, 511, 4005
work page 2022
-
[32]
2025, The Open Journal of Astrophysics, 8, 153
Kannan, R., Puchwein, E., Smith, A., et al. 2025, The Open Journal of Astrophysics, 8, 153
work page 2025
-
[33]
Katz, H., Martin-Alvarez, S., Rosdahl, J., et al. 2021, MNRAS, 507, 1254
work page 2021
-
[34]
2015, in Advancing Astrophysics with the Square Kilometre Array (AASKA14), 1
Koopmans, L., Pritchard, J., Mellema, G., et al. 2015, in Advancing Astrophysics with the Square Kilometre Array (AASKA14), 1
work page 2015
-
[35]
Legrand, L., Hutter, A., Dayal, P., et al. 2022, MNRAS, 509, 595
work page 2022
- [36]
- [37]
-
[38]
Ma, Q.-B., Ghara, R., Ciardi, B., et al. 2023, MNRAS, 522, 3284
work page 2023
- [39]
-
[40]
Mao, Y., Shapiro, P. R., Mellema, G., et al. 2012, MNRAS, 422, 926
work page 2012
-
[41]
Mertens, F. G., Mevius, M., Koopmans, L. V. E., et al. 2025, A&A, 698, A186
work page 2025
- [42]
-
[43]
Mondal, R., Fialkov, A., Fling, C., et al. 2020, MNRAS, 498, 4178
work page 2020
- [44]
- [45]
-
[46]
Naidu, R. P., Oesch, P. A., Brammer, G., et al. 2025, arXiv e-prints, arXiv:2505.11263
- [47]
- [48]
- [49]
-
[50]
2014, MNRAS, 443, 678 Planck Collaboration, Aghanim, N., Akrami, Y., et al
Pacucci, F., Mesinger, A., Mineo, S., & Ferrara, A. 2014, MNRAS, 443, 678 Planck Collaboration, Aghanim, N., Akrami, Y., et al. 2020, A&A, 641, A6
work page 2014
-
[51]
Rosdahl, J., Katz, H., Blaizot, J., et al. 2018, MNRAS, 479, 994
work page 2018
-
[52]
Ross, H. E., Dixon, K. L., Ghara, R., Iliev, I. T., & Mellema, G. 2019, MNRAS, 487, 1101
work page 2019
-
[53]
Singh, S., Jishnu, N. T., Subrahmanyan, R., et al. 2022, Nature As- tronomy, 6, 607
work page 2022
-
[54]
Springel, V., Pakmor, R., Zier, O., & Reinecke, M. 2021, MNRAS, 506, 2871
work page 2021
-
[55]
Springel, V., White, S. D. M., Jenkins, A., et al. 2005, Nature, 435, 629
work page 2005
-
[56]
Springel, V., White, S. D. M., Tormen, G., & Kauffmann, G. 2001, MNRAS, 328, 726
work page 2001
-
[57]
Stanway, E. R. & Eldridge, J. J. 2018, MNRAS, 479, 75
work page 2018
-
[58]
Stefanon, M., Bouwens, R. J., Labbé, I., et al. 2021, ApJ, 922, 29
work page 2021
-
[59]
Sugimura, K., Ricotti, M., Park, J., Garcia, F. A. B., & Yajima, H. 2024, ApJ, 970, 14
work page 2024
-
[60]
Trott, C. M., Nunhokee, C. D., Null, D., et al. 2025, arXiv e-prints, arXiv:2508.04164
- [61]
-
[62]
Zeltyn, G. & Trakhtenbrot, B. 2022, ApJ, 929, 21 Article number, page 10 Q. Ma et al.: POLAR-II 10 5 10 4 10 3 10 2 10 1 100 SFR [M⊙/yr] z = 11.9 z = 10.94 z = 10.07 0.2 0.4 0.6 tb [Gyr] z = 8.91 0.0 0.2 0.4 0.6 tb [Gyr] 10 5 10 4 10 3 10 2 10 1 100 SFR [M⊙/yr] z = 7.88 0.0 0.2 0.4 0.6 tb [Gyr] z = 6.99 0.0 0.2 0.4 0.6 tb [Gyr] z = 5.96 τage = 0.02Gyr τag...
work page 2022
discussion (0)
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