pith. machine review for the scientific record. sign in

arxiv: 2605.10827 · v1 · submitted 2026-05-11 · 🌌 astro-ph.HE

Recognition: no theorem link

Search for long-term variability of HESS J1745-290

H.E.S.S. Collaboration: A. Acharyya , F. Aharonian , M. Backes , R. Batzofin , D. Berge , K. Bernl\"ohr , M. B\"ottcher , C. Boisson
show 109 more authors
Authors on Pith no claims yet

Pith reviewed 2026-05-12 04:02 UTC · model grok-4.3

classification 🌌 astro-ph.HE
keywords HESS J1745-290gamma-ray variabilityGalactic centerH.E.S.S.TeV sourcesdiffuse emissionlight curveSgr A*
0
0 comments X

The pith

No significant long-term or yearly variability is detected in the gamma-ray source HESS J1745-290 over 16 years.

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

The paper examines whether the bright gamma-ray source HESS J1745-290 at the Galactic center changes in brightness over many years. Using 353 hours of data from 2004 to 2019 collected by the H.E.S.S. telescope array, the authors apply a three-dimensional analysis to separate the point-like source from surrounding diffuse emission. They find that the source flux remains steady, with no evidence for variations larger than 30 percent on yearly timescales or in a linear trend over the full period. This stability matters because HESS J1745-290 lies close to the supermassive black hole Sagittarius A*, and steady behavior helps clarify the emission processes at work in the dense Milky Way center.

Core claim

Using 353 hours of H.E.S.S. observations spanning 16 years, a 3D maximum-likelihood analysis was performed on the Galactic center region to extract the light curve of HESS J1745-290 after separating it from the diffuse gamma-ray emission. The analysis shows no long-term or yearly variability in the source. Any yearly gamma-ray flux variation larger than 30 percent is ruled out, as is any linear flux variation exceeding 30 percent over the time period.

What carries the argument

The 3D maximum-likelihood analysis method that jointly models the central point source and overlapping diffuse emission to produce a recalibrated light curve with reduced systematic effects.

If this is right

  • The flux of HESS J1745-290 remains constant within 30 percent on yearly timescales.
  • No linear trend in flux larger than 30 percent occurs over the 16-year observation period.
  • The 3D analysis reduces systematic uncertainties by using the diffuse emission to recalibrate the source.
  • The dataset provides a quantitative estimate of sensitivity to flux variations for this specific source.

Where Pith is reading between the lines

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

  • The steady behavior constrains emission models to those that produce constant output rather than transient or periodic activity.
  • The separation technique may improve variability searches in other crowded gamma-ray fields with diffuse backgrounds.
  • Continued monitoring could test whether smaller variations below the current 30 percent threshold appear with longer baselines or higher statistics.

Load-bearing premise

The 3D maximum-likelihood analysis correctly separates the central point source from the overlapping diffuse emission without introducing time-dependent biases that could mask or mimic variability in the extracted light curve.

What would settle it

An independent reanalysis or new observations that detect a gamma-ray flux change larger than 30 percent in any year or a linear trend exceeding 30 percent over the full 16-year span would contradict the no-variability result.

Figures

Figures reproduced from arXiv: 2605.10827 by A. Chen, A. Djannati-Ata\"i, A. Dmytriiev, A. G. Delgado Giler, A. Lemi\`ere, A. Mehta, A. Montanari, A. M. W. Mitchell, A. Quirrenbach, A. Reimer, A. Santangelo, A. Wierzcholska, A. Zech, B. Bruno, B. Cornejo, B. Hess, B. Kh\'elifi, B. Reville, B. Rudak, C. Boisson, C. Burger-Scheidlin, C. Escanuela Nieves, C. van Eldik, C. Venter, D. Berge, D. Horns, D. Kerszberg, D. Kostunin, D. Malyshev, E. de O\~na Wilhelmi, F. Aharonian, F. Brun, F. Jankowsky, F. Rieger, F. Sch\"ussler, G. Cotter, G. Fontaine, G. L. Taylor, G. P\"uhlhofer, G. Rowell, H.E.S.S. Collaboration: A. Acharyya, H. Sol, H. X. Ren, I. Jaroschewski, I. Jung-Richardt, I. Reis, J. A. Hinton, J. Bolmont, J. Celic, J. Damascene Mbarubucyeye, J. de Assis Scarpin, J. Devin, J. F. Glicenstein, J. Glombitza, J. Mackey, J. Niemiec, J. O. Chibueze, J.-P. Ernenwein, J.-P. Lenain, J. Vink, K. Bernl\"ohr, K. Egg, K. Feijen, K. Kosack, K. Sabri, L. Heckmann, L. Mohrmann, L. Olivera-Nieto, L. Stawarz, M. Backes, M. B\"ottcher, M. Cerruti, M. Chernyakova, M. de Bony de Lavergne, M. de Naurois, M. D. Filipovic, M. G. F. Mayer, M. Holler, M. Jamrozy, M. Lemoine-Goumard, M. O. Moghadam, M. Punch, M. Sasaki, M. Tsirou, M. Vecchi, M. Zacharias, N. Komin, O. Chibueze, O. Reimer, P. Fauverge, P. Goswami, P. Liniewicz, P. Pichard, R. Batzofin, R. D. Parsons8, R. G. Lang, R. Moderski, R. Terrier, S. Funk, S. Gabici, S. J. Wagner, S. Lazarevic, S. Panny, S. Zouari, T. Bylund, T. L. Holch, T. Preis, T. Tanaka, T. Unbehaun, T. Wach, U. Pensec, V. Marandon, V. Sahakian, V. Voitsekhovskyi, W. Hofmann, W. Si Said, W. Zhong.

Figure 2
Figure 2. Figure 2: Post-trial 95% confidence ranges of HESS J1745-290 flux per year (blue) when simulations assume a constant flux (solid green line). Top: Raw source measurements. Bottom: Recalibrated flux. The ranges are corrected for the number of trials. Data points from the analysis are shown in red in both panels. duces a light curve with significant variation. We assumed that if a scenario produced a significantly obs… view at source ↗
Figure 1
Figure 1. Figure 1: Light curves of HESS J1745-290 and DE. Black markers indi￾cate fitted fluxes for each calendar year. Vertical error bars show the sta￾tistical error on the fitted flux for that year. Horizontal error bars indicate the span of the observations within each year. The blue line represents the statistical mean of the light curve, with flux uncertainties accounted for, and the band represents the uncertainty on … view at source ↗
Figure 3
Figure 3. Figure 3: Top: Results of the simulated linearly varying source. Each vi￾olin plot shows the distribution of detectable variations over 16 years for each simulated intrinsic variation (from 0 to -40%; a dashed black line indicates that the mean of this distribution equals the simulated value). The full distribution is shown in blue, and the distribution of de￾tected variations that are significantly preferred to a c… view at source ↗
read the original abstract

At the center of our Galaxy lies the bright {\gamma}-ray point-like source HESS J1745-290, which is compatible in position with Sgr A star, although an association between the two remains uncertain. Using data obtained between 2004 and 2019 with the High Energy Stereoscopic System (H.E.S.S.) on the Galactic center region, we studied the variability of HESS J1745-290 over 353 hours of observations collected over 16 years, representing the largest dataset gathered yet on this region at TeV energies. We performed a 3D maximum-likelihood analysis of the central source and the diffuse {\gamma}-ray emission in the Galactic center region. This analysis allowed us to extract the spectral and morphological intrinsic behavior of the two components. By performing this analysis on an annual basis, we derived the light curve of HESS J1745-290 and the diffuse emission over the past 16 years. The 3D maximum-likelihood analysis method allowed us to separate the central source from the overlapping diffuse emission, enabling a recalibration of the former by the latter and alleviating some of the systematic effects. We find no long-term or yearly variability. We also provide an estimate of the sensitivity of H.E.S.S. to variation of this specific source over 16 years. We rule out any yearly gamma-ray flux variation of this source larger than 30 percent, as well as any linear flux variation exceeding 30% over this time period.

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

2 major / 2 minor

Summary. The manuscript analyzes 353 hours of H.E.S.S. observations of the Galactic center from 2004–2019 to search for long-term variability in HESS J1745-290. Using a 3D maximum-likelihood fit that jointly models the central point source and overlapping diffuse emission, the authors derive an annual light curve for the point source, find no evidence of yearly or linear variability, and set upper limits ruling out flux changes larger than 30% on yearly timescales or in a linear trend over the full 16-year baseline.

Significance. If the source–diffuse separation is shown to be free of time-dependent biases, the result would provide the tightest existing constraints on the stability of this TeV source, with direct implications for its possible association with Sgr A* and for models of steady versus variable emission in the Galactic center. The recalibration approach using the diffuse component is a methodological strength that could improve long-baseline IACT monitoring.

major comments (2)
  1. [3D maximum-likelihood analysis and light-curve extraction] The central claim that yearly variations are ruled out at the 30% level rests on the annual point-source normalizations extracted from the joint 3D maximum-likelihood fit. The manuscript states that this approach “alleviates some of the systematic effects” via recalibration by the diffuse emission, but provides no quantitative assessment (e.g., via dedicated systematic-variation studies or year-by-year IRF comparisons) of residual time-dependent leakage between the point-source and diffuse components that could artificially stabilize the extracted light curve.
  2. [Results and upper-limit derivation] The sensitivity estimate and the precise statistical procedure used to exclude >30% yearly or linear variations are not described in sufficient detail (e.g., no mention of the test statistic for the constant-flux hypothesis, treatment of systematic uncertainties in the likelihood, or how the 30% threshold is derived from the data). Without these elements the quoted limits cannot be independently verified.
minor comments (2)
  1. The abstract and introduction would benefit from an explicit statement of the energy range, spectral model assumptions, and morphological templates adopted for both the point source and diffuse components.
  2. Figure captions and table headers should clarify whether the reported fluxes are integrated above a fixed energy threshold or are differential normalizations at a reference energy.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful and constructive review. The comments have prompted us to strengthen the description of our systematic checks and statistical procedures. We address each major comment below and have revised the manuscript accordingly.

read point-by-point responses
  1. Referee: [3D maximum-likelihood analysis and light-curve extraction] The central claim that yearly variations are ruled out at the 30% level rests on the annual point-source normalizations extracted from the joint 3D maximum-likelihood fit. The manuscript states that this approach “alleviates some of the systematic effects” via recalibration by the diffuse emission, but provides no quantitative assessment (e.g., via dedicated systematic-variation studies or year-by-year IRF comparisons) of residual time-dependent leakage between the point-source and diffuse components that could artificially stabilize the extracted light curve.

    Authors: We agree that an explicit quantitative assessment of residual time-dependent leakage would improve the robustness of the result. In the revised manuscript we have added a new subsection detailing systematic studies: year-by-year IRF comparisons across the 16-year baseline and Monte Carlo simulations that inject controlled time-dependent biases between the point-source and diffuse components. These checks demonstrate that any residual leakage is too small to artificially suppress variability at the 30% level reported. The joint 3D fit and diffuse-based recalibration remain central to mitigating observation-condition systematics, but the added studies now provide the quantitative support requested. revision: yes

  2. Referee: [Results and upper-limit derivation] The sensitivity estimate and the precise statistical procedure used to exclude >30% yearly or linear variations are not described in sufficient detail (e.g., no mention of the test statistic for the constant-flux hypothesis, treatment of systematic uncertainties in the likelihood, or how the 30% threshold is derived from the data). Without these elements the quoted limits cannot be independently verified.

    Authors: We acknowledge the need for greater detail to enable independent verification. The revised manuscript now includes an expanded methods section that specifies: (i) the likelihood-ratio test statistic used to compare the constant-flux hypothesis against the annual-normalization model, (ii) the incorporation of systematic uncertainties via nuisance parameters that are profiled in the 3D likelihood, and (iii) the derivation of the 30% limit as the variability amplitude excluded at 95% confidence level from the observed light-curve uncertainties. The sensitivity to linear trends over 16 years is obtained from Monte Carlo simulations of the full dataset under the null hypothesis. These additions allow the quoted limits to be reproduced from the provided data and analysis description. revision: yes

Circularity Check

0 steps flagged

No significant circularity; direct empirical test on fitted annual fluxes

full rationale

The paper extracts annual light curves for the point source and diffuse emission via repeated 3D maximum-likelihood fits to the H.E.S.S. dataset, then compares the resulting normalizations to a constant-flux hypothesis. This is a standard statistical procedure on observational data; no quantity is defined in terms of itself, no fitted parameter is relabeled as a prediction, and no self-citation supplies a uniqueness theorem or ansatz that forces the no-variability conclusion. The recalibration step using the diffuse component is an internal modeling choice whose validity is external to the variability test itself, and the final limits follow from the data comparison without reduction by construction.

Axiom & Free-Parameter Ledger

1 free parameters · 2 axioms · 0 invented entities

The central claim rests on the accuracy of the 3D likelihood separation of source and diffuse components and on the assumption of stable instrument calibration across 16 years; no new physical entities are introduced.

free parameters (1)
  • annual flux normalizations
    Fitted independently for each year in the light-curve extraction; the claim of no variability is that these values are consistent with a constant within errors.
axioms (2)
  • domain assumption The diffuse gamma-ray emission in the Galactic center region does not vary on yearly timescales.
    Invoked to allow clean separation of the central source in the 3D fit.
  • domain assumption Instrument response functions and atmospheric corrections remain consistent over the 2004-2019 period.
    Required for direct comparison of fluxes across years.

pith-pipeline@v0.9.0 · 6251 in / 1486 out tokens · 60201 ms · 2026-05-12T04:02:00.625363+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

60 extracted references · 60 canonical work pages

  1. [1]

    2021, A&A, 653, A152

    Abdalla, H., Aharonian, F., Ait Benkhali, F., et al. 2021, A&A, 653, A152

  2. [2]

    G., et al

    Acero, F., Aharonian, F., Akhperjanian, A. G., et al. 2010, MNRAS, 402, 1877

  3. [3]

    B., Benbow, W., Brill, A., et al

    Adams, C. B., Benbow, W., Brill, A., et al. 2021, ApJ, 913, 115

  4. [4]

    G., Anton, G., et al

    Aharonian, F., Akhperjanian, A. G., Anton, G., et al. 2009, A&A, 503, 817

  5. [5]

    G., Aye, K

    Aharonian, F., Akhperjanian, A. G., Aye, K. M., et al. 2005, A&A, 432, L25

  6. [6]

    G., Aye, K

    Aharonian, F., Akhperjanian, A. G., Aye, K. M., et al. 2004, A&A, 425, L13

  7. [7]

    G., Barres de Almeida, U., et al

    Aharonian, F., Akhperjanian, A. G., Barres de Almeida, U., et al. 2008, A&A, 492, L25

  8. [8]

    G., Bazer-Bachi, A

    Aharonian, F., Akhperjanian, A. G., Bazer-Bachi, A. R., et al. 2006, Astronomy & Astrophysics, 457, 899

  9. [9]

    L., Ansoldi, S., Antonelli, L

    Ahnen, M. L., Ansoldi, S., Antonelli, L. A., et al. 2017, A&A, 601, A33

  10. [10]

    2006, ApJ, 638, L101 Andrés, A., van den Eijnden, J., Degenaar, N., et al

    Albert, J., Aliu, E., Anderhub, H., et al. 2006, ApJ, 638, L101 Andrés, A., van den Eijnden, J., Degenaar, N., et al. 2022, MNRAS, 510, 2851

  11. [11]

    2014, ApJ, 790, 149

    Archer, A., Barnacka, A., Beilicke, M., et al. 2014, ApJ, 790, 149

  12. [12]

    2016, ApJ, 821, 129

    Archer, A., Benbow, W., Bird, R., et al. 2016, ApJ, 821, 129

  13. [13]

    K., Bautz, M

    Baganoff, F. K., Bautz, M. W., Brandt, W. N., et al. 2001, Nature, 413, 45

  14. [14]

    R., Melia, F., Liu, S., & Crocker, R

    Ballantyne, D. R., Melia, F., Liu, S., & Crocker, R. M. 2007, ApJ, 657, L13

  15. [15]

    R., Schumann, M., & Ford, B

    Ballantyne, D. R., Schumann, M., & Ford, B. 2011, MNRAS, 410, 1521

  16. [16]

    Becherini, Y ., Punch, M., & H. E. S. S. Collaboration. 2012, in American In- stitute of Physics Conference Series, V ol. 1505, High Energy Gamma-Ray Astronomy: 5th International Meeting on High Energy Gamma-Ray Astron- omy, ed. F. A. Aharonian, W. Hofmann, & F. M. Rieger, 741–744

  17. [17]

    2007, A&A, 466, 1219 Bouffard, É., Haggard, D., Nowak, M

    Berge, D., Funk, S., & Hinton, J. 2007, A&A, 466, 1219 Bouffard, É., Haggard, D., Nowak, M. A., et al. 2019, ApJ, 884, 148

  18. [18]

    2022, ApJ, 931, 7

    Boyce, H., Haggard, D., Witzel, G., et al. 2022, ApJ, 931, 7

  19. [19]

    Chalme-Calvet, R., de Naurois, M., & Tavernet, J. P. 2014, Muon efficiency of the H.E.S.S. telescope

  20. [20]

    A., Crocker, R

    Chernyakova, M., Malyshev, D., Aharonian, F. A., Crocker, R. M., & Jones, D. I. 2011, ApJ, 726, 60

  21. [21]

    H., Scoville, N

    Christopher, M. H., Scoville, N. Z., Stolovy, S. R., & Yun, M. S. 2005, ApJ, 622, 346

  22. [22]

    2018, A&A, 610, A34

    Chuard, D., Terrier, R., Goldwurm, A., et al. 2018, A&A, 610, A34

  23. [23]

    2017, MNRAS, 465, 45

    Churazov, E., Khabibullin, I., Sunyaev, R., & Ponti, G. 2017, MNRAS, 465, 45

  24. [24]

    2013, A&A, 558, A32

    Clavel, M., Terrier, R., Goldwurm, A., et al. 2013, A&A, 558, A32

  25. [25]

    Cuadra, J., Nayakshin, S., & Wang, Q. D. 2015, MNRAS, 450, 277

  26. [26]

    2017, in American Institute of Physics Conference Series, V ol

    Deil, C., Boisson, C., Kosack, K., et al. 2017, in American Institute of Physics Conference Series, V ol. 1792, 6th International Symposium on High Energy Gamma-Ray Astronomy, 070006

  27. [27]

    K., et al

    Do, T., Witzel, G., Gautam, A. K., et al. 2019, ApJ, 882, L27

  28. [28]

    2010, ApJ, 725, 450

    Dodds-Eden, K., Sharma, P., Quataert, E., et al. 2010, ApJ, 725, 450

  29. [29]

    2023, A&A, 678, A157

    Donath, A., Terrier, R., Remy, Q., et al. 2023, A&A, 678, A157

  30. [30]

    K., Morris, M., et al

    Eckart, A., Baganoff, F. K., Morris, M., et al. 2004, A&A, 427, 1

  31. [31]

    2010, Reviews of Modern Physics, 82, 3121

    Genzel, R., Eisenhauer, F., & Gillessen, S. 2010, Reviews of Modern Physics, 82, 3121

  32. [32]

    2003, Nature, 425, 934 GRA VITY Collaboration, Abuter, R., Amorim, A., et al

    Genzel, R., Schödel, R., Ott, T., et al. 2003, Nature, 425, 934 GRA VITY Collaboration, Abuter, R., Amorim, A., et al. 2021, A&A, 654, A22 Gravity Collaboration, Abuter, R., Amorim, A., et al. 2020, A&A, 638, A2

  33. [33]

    2013, Journal of Physics G Nuclear Physics, 40, 065201 H

    Guo, Y .-Q., Yuan, Q., Liu, C., & Li, A.-F. 2013, Journal of Physics G Nuclear Physics, 40, 065201 H. E. S. S. Collaboration, Abdalla, H., Abramowski, A., et al. 2018, A&A, 612, A9 H. E. S. S. Collaboration, Aharonian, F., Ait Benkhali, F., et al. 2023, A&A, 672, A103 H.E.S.S. Collaboration, Abramowski, A., Aharonian, F., et al. 2016, Nature, 531, 476 HES...

  34. [34]

    Hillas, A. M. 1985, in International Cosmic Ray Conference, V ol. 3, 19th Inter- national Cosmic Ray Conference (ICRC19), V olume 3, 445

  35. [35]

    Hinton, J. A. & Aharonian, F. A. 2007, ApJ, 657, 302

  36. [36]

    2015, in International Cosmic Ray

    Khelifi, B., Djannati-Ataï, A., Jouvin, L., et al. 2015, in International Cosmic Ray

  37. [37]

    Kistler, M. D. 2015, arXiv e-prints, arXiv:1511.01159

  38. [38]

    M., Bond, I

    Kosack, K., Badran, H. M., Bond, I. H., et al. 2004, ApJ, 608, L97

  39. [39]

    2012, ApJ, 753, 41

    Linden, T., Lovegrove, E., & Profumo, S. 2012, ApJ, 753, 41

  40. [40]

    2006, ApJ, 647, 1099 MAGIC Collaboration, Acciari, V

    Liu, S., Melia, F., Petrosian, V ., & Fatuzzo, M. 2006, ApJ, 647, 1099 MAGIC Collaboration, Acciari, V . A., Ansoldi, S., et al. 2020, A&A, 642, A190

  41. [41]

    2019, A&A, 632, A72

    Mohrmann, L., Specovius, A., Tiziani, D., et al. 2019, A&A, 632, A72

  42. [42]

    M., & Vincent, F

    Mossoux, E., Finociety, B., Beckers, J. M., & Vincent, F. H. 2020, A&A, 636, A25

  43. [43]

    & Grosso, N

    Mossoux, E. & Grosso, N. 2017, A&A, 604, A85

  44. [44]

    & Witzel, G

    Murchikova, L. & Witzel, G. 2021, ApJ, 920, L7

  45. [45]

    A., et al

    Neilsen, J., Markoff, S., Nowak, M. A., et al. 2015, ApJ, 799, 199

  46. [46]

    2009, Astroparticle Physics, 31, 383

    Ohm, S., van Eldik, C., & Egberts, K. 2009, Astroparticle Physics, 31, 383

  47. [47]

    Parsons, R. D. & Hinton, J. A. 2014, Astroparticle Physics, 56, 26

  48. [48]

    R., et al

    Ponti, G., De Marco, B., Morris, M. R., et al. 2015, MNRAS, 454, 1525

  49. [49]

    2017, MNRAS, 468, 2447

    Ponti, G., George, E., Scaringi, S., et al. 2017, MNRAS, 468, 2447

  50. [50]

    C., Chitnis, V

    Roy, A., Gupta, A. C., Chitnis, V . R., et al. 2023, The Astrophysical Journal Supplement Series, 265, 14

  51. [51]

    2019, Galaxies, 7, 62

    Schleicher, B., Arbet-Engels, A., Baack, D., et al. 2019, Galaxies, 7, 62

  52. [52]

    1999, ApJS, 120, 1

    Tsuboi, M., Handa, T., & Ukita, N. 1999, ApJS, 120, 1

  53. [53]

    D., Lu, F

    Wang, Q. D., Lu, F. J., & Gotthelf, E. V . 2006, MNRAS, 367, 937

  54. [54]

    C., Do, T., Witzel, G., et al

    Weldon, G. C., Do, T., Witzel, G., et al. 2023, ApJ, 954, L33

  55. [55]

    M., Morris, M

    Witzel, G., Ghez, A. M., Morris, M. R., et al. 2014, ApJ, 796, L8

  56. [56]

    P., et al

    Witzel, G., Martinez, G., Willner, S. P., et al. 2021, ApJ, 917, 73

  57. [57]

    & Narayan, R

    Yuan, F. & Narayan, R. 2014, ARA&A, 52, 529

  58. [58]

    Yuan, F., Quataert, E., & Narayan, R. 2003, ApJ, 598, 301 1 University of Southern Denmark 2 Astronomy & Astrophysics Section, School of Cosmic Physics, Dublin Institute for Advanced Studies, DIAS Dunsink Observatory, Dublin D15 XR2R, Ireland 3 Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029

  59. [59]

    Avenue, Braamfontein, Johannesburg, 2050, South Africa 15 School of Physical Sciences and Centre for Astrophysics &

  60. [60]

    Collaboration

    Higashinada, Kobe, Hyogo 658-8501, Japan 33 Kapteyn Astronomical Institute, University of Groningen, Landleven 12, 9747 AD Groningen, The Netherlands Article number, page 9 of 10 H.E.S.S. Collaboration. A&A :manuscript Appendix A: Yearly energy fluxes of HESS J1745-290 Table A.1.Recalibrated yearly energy fluxes of HESS J1745-290. Year Flux (10 −12 erg cm...