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Mapping the Cosmic Gamma-ray Horizon: The 1CGH Catalogue of Fermi-LAT detections above 10 GeV

T0 review · 3 major / 6 minor · reviewed 2026-08-12 · deepseek-v4-flash

Pith's one-line read The 1CGH catalogue lists 2791 blazars and candidates detected above 10 GeV at greater than 3 sigma significance from 16 years of Fermi-LAT observations, including 62 new detections and a 525-source subsample where the extragalactic…

desk verdict A useful and honest catalogue with one soft spot: the absorption subsample inherits unquantified redshift uncertainties. read the letter →

arxiv 2411.18431 v3 pith:EYJCACFF submitted 2024-11-27 astro-ph.HE astro-ph.CO

classification astro-ph.HEastro-ph.CO
keywords gamma-rayastronomyFermi-LATblazarsextragalacticbackgroundlightcosmichorizon1CGHcataloguehigh-energygamma-raysredshiftsurveys
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 sets out to build the most complete targeted catalogue of gamma-ray emitters above 10 GeV from 16 years of Fermi-LAT data, and to use it to map the cosmic gamma-ray horizon. It reports 2791 detections at better than 3 sigma, 62 of them new, after seeding a likelihood analysis with blazar positions from major catalogues. For every source it reviews redshift information from the literature and assigns a quality flag, then uses the mean energy of the four highest-energy photons to define the highest detectable energy bin. Applying the Saldana-Lopez EBL model, it identifies 525 sources where the optical depth exceeds 0.1, meaning more than 10 percent of the flux at that bin should be absorbed. If this holds, the catalogue gives observers a concrete target list for measuring extragalactic background light, testing redshift completeness, and probing the transparency of the Universe to very high energy photons.

What carries the argument

The load-bearing machinery is the binned likelihood analysis in the 10-800 GeV band with a power-law model, combined with a photon-association step that requires at least four source-type events within 0.12 degrees. The central derived quantity is Ebinmax, the mean energy of the four highest-energy photons, which provides a robust estimate of the highest energy bin a source has; comparing this to the Saldana-Lopez EBL model through the relation F_observed = F_intrinsic exp(-tau(E,z)) yields the tauEbin and ABS-flag columns. The z-flag system, which separates spectroscopic, photometric or uncertain, and lower-limit redshifts, is what makes the absorption classification possible.

What would settle it

Stack the highest-energy bins of the 525 ABS-flag sources and compare the average observed flux with the Saldana-Lopez EBL prediction: if the expected suppression exp(-tau) is absent at the predicted energies, the absorption classification is wrong.

Watch

Extended reading notes

Core claim

The central discovery claimed is that a large, carefully curated sample of blazars and blazar candidates can be detected above 10 GeV and ranked by expected EBL absorption. The 1CGH catalogue contains 2791 sources detected at >3 sigma over 10-800 GeV, with 62 previously unreported gamma-ray detections, most of them high-synchrotron-peak blazars from the 3HSP catalogue. After an extensive redshift review covering nearly 70 publications, 38.2 percent of the sources have spectroscopic redshifts, 30.6 percent have photometric or uncertain values, 7.5 percent have lower limits, and 23.7 percent have none. Using the Saldana-Lopez EBL model and the mean energy of the four highest-energy photons as Ebinmax, the paper identifies 525 sources with tau(Ebinmax, z) > 0.1, flagging them as cases where moderate to severe absorption should be measurable with Fermi-LAT.

Load-bearing premise

The absorption classification assumes the literature redshifts are accurate enough for the many sources that lack spectroscopic determinations; if those redshifts are wrong, the computed optical depths and the 525-source subsample change.

Editorial extensions

If this is right

  • The 525 ABS-flag sources form a ready-made target list for measuring the EBL optical depth with Fermi-LAT spectra across redshifts 0 to 3.
  • The 62 new detections, mostly high-synchrotron-peak blazars, are promising targets for the Cherenkov Telescope Array Observatory and follow-up optical campaigns.
  • The redshift review, with quality flags, improves the reliability of any EBL or opacity study built on 3FHL and 4LAC-DR3 data.
  • Sources flagged with z-flag=0 but with optical or radio associations are prioritized for spectroscopy; if redshifts are obtained, they can be added to the measurable-absorption sample.
  • The catalogue extends the significance distribution toward fainter sources, lowering the effective detection threshold above 10 GeV relative to 3FHL.

Reading between the lines

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

  • The ABS-flag subsample should be treated as provisional: roughly 62 percent of the catalogue lacks robust spectroscopic redshifts, so the 525-source list would change if lower limits or photometric redshifts are revised.
  • A direct test of the catalogue's utility is to stack the 10-800 GeV spectra of the 525 flagged sources and check that the observed attenuation matches the Saldana-Lopez prediction; a mismatch would point to either intrinsic spectral features or the need for revised EBL models.
  • Because the selection is seeded by known blazars, the 1CGH is biased against gamma-ray emitters without identified counterparts; unassociated 4FGL sources are included, but a fully unbiased horizon map would require an independent all-sky search.
  • The Ebinmax statistic could be applied to other energy bands or future missions to extend the horizon mapping beyond Fermi-LAT's reach.
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Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

3 major / 6 minor

Summary. The paper presents the 1CGH catalogue: 2791 gamma-ray emitters above 10 GeV detected at >3 sigma from 16 years of Fermi-LAT data, selected from multifrequency seed positions (5BZcat, 3HSP, TeVcat, 4LAC-DR3, and unassociated 4FGL sources). A binned likelihood analysis in the 10-800 GeV band is followed by a photon-association cut requiring at least four source-type events within 0.12 degrees. The catalogue includes 62 new detections, an extensive literature-based redshift review with quality flags, and an absorption subsample of 525 sources where tau(Ebinmax,z) > 0.1 according to the Saldana-Lopez EBL model. The paper also introduces Ebinmax, the mean energy of the four highest-energy photons, as a robust estimator of the highest detectable energy bin.

Significance. If the catalogue is robust, it is a valuable community resource: it extends >10 GeV detections to fainter fluxes than 3FHL, provides a systematic redshift-quality flagging system, and supplies a well-defined target list for EBL studies and optical follow-up. Strengths include the clear description of the reduction pipeline, the use of public Fermi-LAT data and public catalogues, the explicit estimate of the pre-cut spurious rate, and the extensive literature compilation. However, the central EBL-oriented deliverable, the 525-source absorption subsample, depends on two fragile ingredients: redshift values that lack propagated uncertainties for ~38% of the sample, and the choice of a single EBL model. The paper itself acknowledges the redshift incompleteness qualitatively but does not quantify its impact on the headline number; the post-cut false-positive rate is likewise not quantified. These issues affect the reproducibility of the main claims, though they are addressable within the manuscript's scope.

major comments (3)
  1. [Section 3.3, Table B2] The ABS-flag and tauEbin values are computed from literature redshifts without propagating redshift uncertainties. The redshift census in Section 3.1 shows that 855/2791 sources (30.6%) have z-flag=2 (photometric/uncertain) and 210/2791 (7.5%) have z-flag=3 (lower limits), and the catalogue's 'z' column lists no errors. Because tau(E,z) rises steeply with z, a source near the tau=0.1 boundary can flip between ABS-flag=1 and 0 under a plausible photometric redshift error of 0.2-0.5. The paper acknowledges the redshift gap qualitatively but does not quantify its impact on the 525-source subsample. Please add a robustness analysis: for example, recompute tauEbin with z +/- sigma_z using typical photometric uncertainties and report how many sources change ABS-flag, or provide a Monte Carlo. For Table B2, mark sources whose ABS-flag determination is fragile.
  2. [Sections 2.3-2.4] The pre-selection spurious rate for TS>12 is estimated as 20.5/3004 ~ 0.68%, but the paper does not quantify the false-positive rate after the additional requirement of at least four associated photons within 0.12 deg (Section 2.4). The statement that the rate 'should be lower' is not a measurement; the photon cut is an additional selection layer applied to the same data and the matching radius is small, so a background-only Monte Carlo or a source-scrambling test is needed to estimate the post-cut contamination. Without this, the reliability of the 62 new detections and of the full 2791-source catalogue is not fully established.
  3. [Section 3.3] The ABS-flag selection is based on the Saldana-Lopez et al. (2021) EBL model only, yet the text claims that the resulting subsample is where 'the EBL optical depth can be robustly measured' and that tau values can be derived 'independently of any specific EBL model.' Figure 4 compares the tau=1 curves of four models, but the tau=0.1 boundary used for the 525-source subsample is shown only for one model. Please quantify the model dependence: report how many of the 525 sources remain in the tau>0.1 regime under the Finke et al. (2010), Dominguez et al. (2011), and Franceschini & Rodighiero (2017) models. If the overlap is small, the abstract's 525 number should be presented with a caveat.
minor comments (6)
  1. [Figure 4 and Figure 5 captions] The captions state 'approximately one-third of the 1CGH sources lack assigned redshift,' but Section 3.1 reports 664/2791 = 23.7% without redshift; the captions are inconsistent with the text and should be corrected.
  2. [Table 1 caption] The caption says 'The first three columns show ...', but the table has more than three columns; also the symbols '?' and '>' in the 'z' column are not defined in the caption, although they are explained later in Section 3.1.
  3. [Data Availability] The paper states that a complete table is available in the online version and a preliminary version on GitHub; for reproducibility, a machine-readable full catalogue should be included as supplementary material with the submission, including redshift uncertainties.
  4. [Section 3 (26 and 27 sources)] The 26 sources whose photon index reaches the Gamma=6.5 limit and the 27 sources with 3FHL curvature are listed with fluxes that should be interpreted as upper limits; the catalogue columns should carry a flag that propagates to the tauEbin analysis if any of these sources are in the absorption subsample, so users do not treat the power-law flux as a detection.
  5. [Section 2.3] The TS-to-sigma conversion is cited to a GitHub repository; for a journal publication, a formal reference or equation should be included in the text.
  6. [Section 3.3 (Ebinmax definition)] The new Ebinmax estimator (mean of the four highest-energy photons) is introduced without a discussion of its statistical properties or a comparison against the highest-energy photon; a brief justification or a reference to a validation test would help.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: detection and absorption classification are independent of the paper's inputs.

full rationale

The derivation chain is self-contained. The 1CGH catalogue is an observational product: seed positions are taken from public catalogues (5BZcat, 3HSP, TeVcat, 4LAC-DR3, 4FGL-DR4), and detection is performed via binned likelihood on 16 years of Fermi-LAT data with a fixed TS>12 threshold plus a four-photon association criterion. No parameter is fitted to the quantities that are later called predictions: the 525-source absorption subsample is obtained by evaluating the external Saldana-Lopez EBL optical depth at the observed Ebinmax and at literature redshifts, not by fitting the EBL model to Fermi-LAT data. The authors' prior work is cited for the seed-based method and for 3HSP/2WHSP inputs, but these are not used to derive the central result; removing them would change sample completeness but would not make the detection or the absorption classification tautological. The redshift-uncertainty limitation acknowledged in Section 3.1 (855 sources with z-flag=2, 210 with z-flag=3, 664 with no redshift) is a robustness concern, not a circularity, because the catalogue does not claim to derive the redshifts or the EBL model from its own data. No equation in the paper is equivalent to another by construction, and no fitted parameter is renamed as a prediction. The presence of minor self-citations is normal and does not raise the circularity score.

Assumptions & free parameters 6 free parameters · 5 assumptions · 0 invented entities

The catalogue rests on standard Fermi-LAT background modelling and public catalogues. The only new construct is the Ebinmax estimator, which is a choice rather than a fitted parameter. The absorption subsample depends on an external EBL model and on redshift quality.

free parameters (6)
  • TS detection threshold = 12
    Chosen to reach ~3 sigma per seed; directly determines the 3004 pre-selected sources and thus the final catalogue size.
  • Minimum number of associated photons = 4
    Adopted from 3FHL practice to filter spurious pre-selections; affects the final 2791 count.
  • Photon-source matching radius = 0.12 deg
    Set from PSF1 containment at 30 GeV; controls which photons are associated with each source.
  • Highest-energy-bin estimator Ebinmax = mean of four highest-energy photons
    Definition introduced by the authors to estimate the highest energy bin; central to the absorption classification.
  • Absorption flag threshold tau = 0.1
    Hand-chosen lower limit for 'moderate to severe' absorption; defines the 525-source subsample.
  • Spectral index upper limit = Gamma = 6.5
    Imposed to keep fits physical; 26 sources sit at this limit and their fluxes are upper limits.
assumptions (5)
  • domain assumption The 4FGL-DR4 source model plus the galactic and isotropic diffuse templates correctly model the gamma-ray sky in every ROI.
    Invoked in Section 2.2 when setting source parameters free and using gll-psc-v34, gll-iem, and iso templates; if wrong, fitted fluxes and TS values for all 1CGH sources change.
  • domain assumption The Saldana-Lopez EBL model provides a reliable reference optical depth for computing tau and defining the absorption subsample.
    Section 3.3 uses this model to calculate tauEbin and set ABS-flag; the 525-source subsample is model-dependent.
  • domain assumption The seed catalogues (5BZcat, 3HSP, TeVcat, 4LAC-DR3, plus unassociated 4FGL-DR4 sources) provide accurate positions and classifications for blazars and candidates.
    Section 2.1 builds the seed list from these catalogues; any classification errors or positional offsets propagate into the source association.
  • domain assumption Literature redshifts, including photometric estimates and lower limits, are accurate enough for the absorption classification.
    Sections 3.1 and 3.3 use z values with flags; for ~62% of sources the redshift is not spectroscopic, so tauEbin and ABS-flag are uncertain.
  • domain assumption Power-law spectral shapes adequately describe all sources over 10-800 GeV, with curvature only for the 27 flagged 3FHL counterparts.
    Section 2.2 assumes dN/dE = N0 (E/E0)^-Gamma for every source; curved spectra would bias the flux and the highest-energy bin estimates.

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Cite this review

Pith. "Pith review of Mapping the Cosmic Gamma-ray Horizon: The 1CGH Catalogue of Fermi-LAT detections above 10 GeV." pith.science (2026). https://pith.science/paper/EYJCACFF

@misc{pith2026241118431,
  author       = {Pith},
  title        = {Pith review of: Mapping the Cosmic Gamma-ray Horizon: The 1CGH Catalogue of Fermi-LAT detections above 10 GeV},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/EYJCACFF}},
  note         = {Machine review of arXiv:2411.18431}
}
abstract

We present the First Cosmic Gamma-ray Horizon (1CGH) catalogue, featuring $\gamma$-ray detections above 10 GeV based on 16 years of observations with the Fermi Large Area Telescope (LAT) satellite. After carefully selecting a sample of blazars and blazar candidates from catalogues in the literature, we performed a binned likelihood analysis and identified 2791 $\gamma$-ray emitters above 10 GeV, at >3$\sigma$ level, including 62 that are new $\gamma$-ray detections. For each source, we estimated the mean energy of the highest-energy bin and analysed them in the context of the cosmic gamma-ray horizon. By adopting a reference model for the Extragalactic Background Light (EBL), we identified a subsample of 525 sources where moderate to severe $\gamma$-ray absorption could be detected across the redshift range of 0 to 3. This work provides the most up-to-date compilation of detections above 10 GeV, along with their redshift information. We condense extensive results from the literature, including reports on observational campaigns dedicated to blazars and $\gamma$-ray sources, thereby delivering an unprecedented review of the redshift information for sources detected above 10 GeV. Additionally, we highlight key 1CGH sources where redshift information remains incomplete, offering guidance for future optical observation campaigns. The 1CGH catalogue aims to track the most significant sources for studying the $\gamma$-ray transparency of the Universe. Furthermore, it provides a targeted subsample where the EBL optical depth, $\tau_{(E,z)}$, can be robustly measured using Fermi-LAT data.

Figures

Figures reproduced from arXiv: 2411.18431 by the authors.

Figure 1
Figure 1. The distribution of detection significance (𝜎) for the 1CGH and 3FHL samples (respectively, blue line and red-dashed line). greater than 12 in the 10-800 GeV energy range, integrated over 16 years of Fermi-LAT observations. For detailed information on the catalogue’s metadata, refer to Table A1 in Appendix A. The 1CGH catalogue includes 62 𝛾-ray detections never reported in earlier Fermi-LAT catalogue releases (1FGL… view at source ↗
Figure 3
Figure 3. The redshift distribution for the 1CGH and 3FHL samples. For the 1CGH, the histogram only include sources with spectroscopic redshift deter￾mination (z-flag=1); for the 3FHL catalogue, we include the entire sample. doni et al. 2015, 2018); Massaro18 (Massaro et al. 2014, 2015b, 2016); Mishra18 (Mishra et al. 2018); Balmaverde19 (Balmaverde et al. 2020); Caccianiga19 (Caccianiga et al. 2019); Johnson19 (Johnson et al… view at source ↗
Figure 4
Figure 4. The cosmic gamma-ray horizon, showing the highest-energy photon versus redshift, based on Fermi-LAT ultra-clean events with PSF0 events removed (evclass=512 and evtype=56). Sources detected above 10 GeV are represented, with robust (spectroscopic) redshifts marked as filled circles; lower-limit redshifts are represented by right arrows, with the reported redshift value corresponding to the center of the arrow ; and … view at source ↗
Figures from the paper (1 more)
Figure 5
Figure 5. Figure 5: The cosmic gamma-ray horizon, showing the ‘largest energy bin detectable with Fermi-LAT’ versus redshift. The ‘largest energy bin’ is calculated as the mean energy of the four highest-energy source-type events associated with each source, excluding PSF0 events (i.e., e…

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Works this paper leans on

128 extracted references · 42 canonical work pages

  1. [1]

    Abdalla H., Cotter G., Backes M., Kasai E., B \"o ttcher M., 2024, @doi [Classical and Quantum Gravity] 10.1088/1361-6382/ad1122 , https://ui.adsabs.harvard.edu/abs/2024CQGra..41a5022A 41, 015022

  2. [2]

    Abdollahi S., et al., 2020, @doi [ ] 10.3847/1538-4365/ab6bcb , https://ui.adsabs.harvard.edu/abs/2020ApJS..247...33A 247, 33

  3. [3]

    Abe H., et al., 2024, @doi [Physics of the Dark Universe] 10.1016/j.dark.2024.101425 , https://ui.adsabs.harvard.edu/abs/2024PDU....4401425A 44, 101425

  4. [4]

    S., et al., 2013, @doi [Astroparticle Physics] 10.1016/j.astropartphys.2013.01.007 , https://ui.adsabs.harvard.edu/abs/2013APh....43....3A 43, 3

    Acharya B. S., et al., 2013, @doi [Astroparticle Physics] 10.1016/j.astropartphys.2013.01.007 , https://ui.adsabs.harvard.edu/abs/2013APh....43....3A 43, 3

  5. [5]

    Ackermann M., et al., 2013, @doi [ ] 10.1088/0067-0049/209/2/34 , https://ui.adsabs.harvard.edu/abs/2013ApJS..209...34A 209, 34

  6. [6]

    Acosta-Pulido J. A., Agudo I., Barrena R., Ramos Almeida C., Manchado A., Rodr \' guez-Gil P., 2010, @doi [ ] 10.1051/0004-6361/200913953 , https://ui.adsabs.harvard.edu/abs/2010A&A...519A...5A 519, A5

  7. [7]

    Ajello M., et al., 2017, @doi [ ] 10.3847/1538-4365/aa8221 , https://ui.adsabs.harvard.edu/abs/2017ApJS..232...18A 232, 18

  8. [8]

    Ajello M., et al., 2020, @doi [ ] 10.3847/1538-4357/ab791e , https://ui.adsabs.harvard.edu/abs/2020ApJ...892..105A 892, 105

Show all 128 references
  1. [9]

    Ajello M., et al., 2022, @doi [ ] 10.3847/1538-4365/ac9523 , https://ui.adsabs.harvard.edu/abs/2022ApJS..263...24A 263, 24

  2. [10]

    Albert A., et al., 2023, @doi [ ] 10.1103/PhysRevLett.131.051201 , https://ui.adsabs.harvard.edu/abs/2023PhRvL.131e1201A 131, 051201

  3. [11]

    \'A lvarez Crespo N., et al., 2016a, @doi [ ] 10.3847/0004-6256/151/2/32 , https://ui.adsabs.harvard.edu/abs/2016AJ....151...32A 151, 32

  4. [12]

    \'A lvarez Crespo N., et al., 2016b, @doi [ ] 10.3847/0004-6256/151/4/95 , https://ui.adsabs.harvard.edu/abs/2016AJ....151...95A 151, 95

  5. [13]

    \'A lvarez Crespo N., et al., 2016c, @doi [ ] 10.1007/s10509-016-2902-1 , https://ui.adsabs.harvard.edu/abs/2016Ap&SS.361..316A 361, 316

  6. [14]

    S., Chamorro Cazorla M., S \'a nchez Bl \'a zquez P., Gil de Paz A., 2025, @doi [ ] 10.1051/0004-6361/202452345 , https://ui.adsabs.harvard.edu/abs/2025A&A...694A..46A 694, A46

    \'A lvarez Crespo N., Dom \' nguez A., Paliya V. S., Chamorro Cazorla M., S \'a nchez Bl \'a zquez P., Gil de Paz A., 2025, @doi [ ] 10.1051/0004-6361/202452345 , https://ui.adsabs.harvard.edu/abs/2025A&A...694A..46A 694, A46

  7. [15]

    Appenzeller I., et al., 1998, @doi [ ] 10.1086/313125 , https://ui.adsabs.harvard.edu/abs/1998ApJS..117..319A 117, 319

  8. [16]

    L., 2017, @doi [ ] 10.1051/0004-6361/201628691 , https://ui.adsabs.harvard.edu/abs/2017A&A...598A.134A 598, A134

    Arsioli B., Chang Y. L., 2017, @doi [ ] 10.1051/0004-6361/201628691 , https://ui.adsabs.harvard.edu/abs/2017A&A...598A.134A 598, A134

  9. [17]

    Arsioli B., Orlando E., 2024, @doi [ ] 10.3847/1538-4357/ad1bd2 , https://ui.adsabs.harvard.edu/abs/2024ApJ...962...52A 962, 52

  10. [18]

    Arsioli B., Polenta G., 2018, @doi [ ] 10.1051/0004-6361/201832786 , https://ui.adsabs.harvard.edu/abs/2018A&A...616A..20A 616, A20

  11. [19]

    M., 2015, @doi [ ] 10.1051/0004-6361/201424148 , https://ui.adsabs.harvard.edu/abs/2015A&A...579A..34A 579, A34

    Arsioli B., Fraga B., Giommi P., Padovani P., Marrese P. M., 2015, @doi [ ] 10.1051/0004-6361/201424148 , https://ui.adsabs.harvard.edu/abs/2015A&A...579A..34A 579, A34

  12. [20]

    Arsioli B., Barres de Almeida U., Prandini E., Fraga B., Foffano L., 2018, @doi [ ] 10.1093/mnras/sty1975 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.2165A 480, 2165

  13. [21]

    L., Musiimenta B., 2020, @doi [ ] 10.1093/mnras/staa368 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.2438A 493, 2438

    Arsioli B., Chang Y. L., Musiimenta B., 2020, @doi [ ] 10.1093/mnras/staa368 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.2438A 493, 2438

  14. [22]

    B., et al., 2009, @doi [ ] 10.1088/0004-637X/697/2/1071 , https://ui.adsabs.harvard.edu/abs/2009ApJ...697.1071A 697, 1071

    Atwood W. B., et al., 2009, @doi [ ] 10.1088/0004-637X/697/2/1071 , https://ui.adsabs.harvard.edu/abs/2009ApJ...697.1071A 697, 1071

  15. [23]

    arXiv:1303.3514

    Atwood W., et al., 2013, @doi [arXiv e-prints] 10.48550/arXiv.1303.3514 , https://ui.adsabs.harvard.edu/abs/2013arXiv1303.3514A p. arXiv:1303.3514

  16. [24]

    H., Lott B., The Fermi-LAT collaboration 2023, @doi [arXiv e-prints] 10.48550/arXiv.2307.12546 , https://ui.adsabs.harvard.edu/abs/2023arXiv230712546B p

    Ballet J., Bruel P., Burnett T. H., Lott B., The Fermi-LAT collaboration 2023, @doi [arXiv e-prints] 10.48550/arXiv.2307.12546 , https://ui.adsabs.harvard.edu/abs/2023arXiv230712546B p. arXiv:2307.12546

  17. [25]

    Balmaverde B., et al., 2020, @doi [ ] 10.1093/mnras/stz3532 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.492.3728B 492, 3728

  18. [26]

    A., Boschin W., Clavero R., Otero-Santos J., Carballo-Bello J

    Becerra Gonz \'a lez J., Acosta-Pulido J. A., Boschin W., Clavero R., Otero-Santos J., Carballo-Bello J. A., Dom \' nguez-Palmero L., 2021, @doi [ ] 10.1093/mnras/stab1274 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504.5258B 504, 5258

  19. [27]

    Belladitta S., et al., 2020, @doi [ ] 10.1051/0004-6361/201937395 , https://ui.adsabs.harvard.edu/abs/2020A&A...635L...7B 635, L7

  20. [28]

    Blandford R., Meier D., Readhead A., 2019, @doi [ ] 10.1146/annurev-astro-081817-051948 , https://ui.adsabs.harvard.edu/abs/2019ARA&A..57..467B 57, 467

  21. [29]

    J., Fong R., Shanks T., Peterson B

    Boyle B. J., Fong R., Shanks T., Peterson B. A., 1990, @doi [ ] 10.1093/mnras/243.1.1 , https://ui.adsabs.harvard.edu/abs/1990MNRAS.243....1B 243, 1

  22. [30]

    H., Digel S

    Bruel P., Burnett T. H., Digel S. W., Johannesson G., Omodei N., Wood M., 2018, @doi [arXiv e-prints] 10.48550/arXiv.1810.11394 , https://ui.adsabs.harvard.edu/abs/2018arXiv181011394B p. arXiv:1810.11394

  23. [31]

    Buehler R., Gallardo G., Maier G., Dom \' nguez A., L \'o pez M., Meyer M., 2020, @doi [ ] 10.1088/1475-7516/2020/09/027 , https://ui.adsabs.harvard.edu/abs/2020JCAP...09..027B 2020, 027

  24. [32]

    Caccianiga A., et al., 2019, @doi [ ] 10.1093/mnras/sty3526 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.484..204C 484, 204

  25. [33]

    L., Arsioli B., Giommi P., Padovani P., 2017, @doi [ ] 10.1051/0004-6361/201629487 , https://ui.adsabs.harvard.edu/abs/2017A&A...598A..17C 598, A17

    Chang Y. L., Arsioli B., Giommi P., Padovani P., 2017, @doi [ ] 10.1051/0004-6361/201629487 , https://ui.adsabs.harvard.edu/abs/2017A&A...598A..17C 598, A17

  26. [34]

    L., Arsioli B., Giommi P., Padovani P., Brandt C

    Chang Y. L., Arsioli B., Giommi P., Padovani P., Brandt C. H., 2019, @doi [ ] 10.1051/0004-6361/201834526 , https://ui.adsabs.harvard.edu/abs/2019A&A...632A..77C 632, A77

  27. [35]

    World Scientific Publishing, @doi 10.1142/10986

    Cherenkov Telescope Array Consortium et al., 2019, Science with the Cherenkov Telescope Array . World Scientific Publishing, @doi 10.1142/10986

  28. [36]

    M., et al., 2013, Technical report, Explanatory Supplement to the AllWISE Data Release Products

    Cutri R. M., et al., 2013, Technical report, Explanatory Supplement to the AllWISE Data Release Products

  29. [37]

    M., et al., 2021, VizieR Online Data Catalog: AllWISE Data Release (Cutri+ 2013) , VizieR On-line Data Catalog: II/328

    Cutri R. M., et al., 2021, VizieR Online Data Catalog: AllWISE Data Release (Cutri+ 2013) , VizieR On-line Data Catalog: II/328. Originally published in: IPAC/Caltech (2013)

  30. [38]

    D'Ammando F., et al., 2012, @doi [ ] 10.1111/j.1365-2966.2012.22041.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.427..893D 427, 893

  31. [39]

    D'Ammando F., et al., 2024, @doi [ ] 10.1051/0004-6361/202348507 , https://ui.adsabs.harvard.edu/abs/2024A&A...683A.222D 683, A222

  32. [40]

    DESI Collaboration et al., 2024, @doi [ ] 10.3847/1538-3881/ad3217 , https://ui.adsabs.harvard.edu/abs/2024AJ....168...58D 168, 58

  33. [41]

    D'Silva J. C. J., Driver S. P., Lagos C. D. P., Robotham A. S. G., Summers J., Windhorst R. A., 2023, @doi [ ] 10.3847/2041-8213/ad103e , https://ui.adsabs.harvard.edu/abs/2023ApJ...959L..18D 959, L18

  34. [42]

    Desai A., Marchesi S., Rajagopal M., Ajello M., 2019, @doi [ ] 10.3847/1538-4365/ab01fc , https://ui.adsabs.harvard.edu/abs/2019ApJS..241....5D 241, 5

  35. [43]

    Dom \' nguez A., Prada F., 2013, @doi [ ] 10.1088/2041-8205/771/2/L34 , https://ui.adsabs.harvard.edu/abs/2013ApJ...771L..34D 771, L34

  36. [44]

    Dom \' nguez A., et al., 2011, @doi [ ] 10.1111/j.1365-2966.2010.17631.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.410.2556D 410, 2556

  37. [45]

    D., Prada F., Primack J

    Dom \' nguez A., Finke J. D., Prada F., Primack J. R., Kitaura F. S., Siana B., Paneque D., 2013, @doi [ ] 10.1088/0004-637X/770/1/77 , https://ui.adsabs.harvard.edu/abs/2013ApJ...770...77D 770, 77

  38. [46]

    Dom \' nguez A., et al., 2024, @doi [ ] 10.1093/mnras/stad3492 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.4763D 527, 4763

  39. [47]

    Essey W., Kusenko A., 2010, @doi [Astroparticle Physics] 10.1016/j.astropartphys.2009.11.007 , https://ui.adsabs.harvard.edu/abs/2010APh....33...81E 33, 81

  40. [48]

    G., Stecker F

    Fazio G. G., Stecker F. W., 1970, @doi [ ] 10.1038/226135a0 , https://ui.adsabs.harvard.edu/abs/1970Natur.226..135F 226, 135

  41. [49]

    Fermi-LAT Collaboration et al., 2018, @doi [Science] 10.1126/science.aat8123 , https://ui.adsabs.harvard.edu/abs/2018Sci...362.1031F 362, 1031

  42. [50]

    D., Razzaque S., Dermer C

    Finke J. D., Razzaque S., Dermer C. D., 2010, @doi [ ] 10.1088/0004-637X/712/1/238 , https://ui.adsabs.harvard.edu/abs/2010ApJ...712..238F 712, 238

  43. [51]

    D., Ajello M., Dom \' nguez A., Desai A., Hartmann D

    Finke J. D., Ajello M., Dom \' nguez A., Desai A., Hartmann D. H., Paliya V. S., Saldana-Lopez A., 2022, @doi [ ] 10.3847/1538-4357/ac9843 , https://ui.adsabs.harvard.edu/abs/2022ApJ...941...33F 941, 33

  44. [52]

    Foschini L., et al., 2022, @doi [Universe] 10.3390/universe8110587 , https://ui.adsabs.harvard.edu/abs/2022Univ....8..587F 8, 587

  45. [53]

    Franceschini A., Rodighiero G., 2017, @doi [ ] 10.1051/0004-6361/201629684 , https://ui.adsabs.harvard.edu/abs/2017A&A...603A..34F 603, A34

  46. [54]

    A., Prochaska J

    Furniss A., Fumagalli M., Danforth C., Williams D. A., Prochaska J. X., 2013, @doi [ ] 10.1088/0004-637X/766/1/35 , https://ui.adsabs.harvard.edu/abs/2013ApJ...766...35F 766, 35

  47. [55]

    M., Primack J

    Furniss A., Sutter P. M., Primack J. R., Dom \' nguez A., 2015, @doi [ ] 10.1093/mnras/stu2196 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.446.2267F 446, 2267

  48. [56]

    \'E ., Frey S., An T., 2018, @doi [ ] 10.1051/0004-6361/201732286 , https://ui.adsabs.harvard.edu/abs/2018A&A...612A.109G 612, A109

    Gab \'a nyi K. \'E ., Frey S., An T., 2018, @doi [ ] 10.1051/0004-6361/201732286 , https://ui.adsabs.harvard.edu/abs/2018A&A...612A.109G 612, A109

  49. [57]

    Galanti G., Tavecchio F., Roncadelli M., Evoli C., 2019, @doi [ ] 10.1093/mnras/stz1144 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.487..123G 487, 123

  50. [58]

    Galanti G., Tavecchio F., Landoni M., 2020, @doi [ ] 10.1093/mnras/stz3411 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.5268G 491, 5268

  51. [59]

    Goldoni P., Pita S., Boisson C., Cotter G., Williams D., Lindfors E., 2015, in 34th International Cosmic Ray Conference (ICRC2015). p. 835 ( @eprint arXiv 1508.06059 ), @doi 10.22323/1.236.0835

  52. [60]

    Goldoni P., et al., 2021, @doi [ ] 10.1051/0004-6361/202040090 , https://ui.adsabs.harvard.edu/abs/2021A&A...650A.106G 650, A106

  53. [61]

    J., Schr \'e der G

    Gould R. J., Schr \'e der G. P., 1967, @doi [Physical Review] 10.1103/PhysRev.155.1408 , https://ui.adsabs.harvard.edu/abs/1967PhRv..155.1408G 155, 1408

  54. [62]

    A., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2304.00835 , https://ui.adsabs.harvard.edu/abs/2023arXiv230400835G p

    Gr \'e aux L., Biteau J., Hassan T., Hervet O., Nievas Rosillo M., Williams D. A., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2304.00835 , https://ui.adsabs.harvard.edu/abs/2023arXiv230400835G p. arXiv:2304.00835

  55. [63]

    A., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/35 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...35G 197, 35

    Grogin N. A., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/35 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...35G 197, 35

  56. [64]

    G., Dwek E., 2001, @doi [ ] 10.1146/annurev.astro.39.1.249 , https://ui.adsabs.harvard.edu/abs/2001ARA&A..39..249H 39, 249

    Hauser M. G., Dwek E., 2001, @doi [ ] 10.1146/annurev.astro.39.1.249 , https://ui.adsabs.harvard.edu/abs/2001ARA&A..39..249H 39, 249

  57. [65]

    W., Drouart G., Leung J

    Ighina L., Caccianiga A., Moretti A., Belladitta S., Broderick J. W., Drouart G., Leung J. K., Seymour N., 2023, @doi [ ] 10.1093/mnras/stac3668 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.2060I 519, 2060

  58. [66]

    Ighina L., et al., 2024, @doi [ ] 10.1051/0004-6361/202451376 , https://ui.adsabs.harvard.edu/abs/2024A&A...692A.241I 692, A241

  59. [67]

    D., et al., 2019, @doi [ ] 10.3847/2041-8213/ab479a , https://ui.adsabs.harvard.edu/abs/2019ApJ...884L..31J 884, L31

    Johnson S. D., et al., 2019, @doi [ ] 10.3847/2041-8213/ab479a , https://ui.adsabs.harvard.edu/abs/2019ApJ...884L..31J 884, L31

  60. [68]

    a hteenm \

    Kasai E., Goldoni P., Pita S., Boisson C., Backes M., Cotter G., D'Ammando F., van Soelen B., 2023a, in Liodakis I., Aller M. F., Krawczynski H., L \"a hteenm \"a ki A., Pearson T. J., eds, IAU Symposium Vol. 375, The Multimessenger Chakra of Blazar Jets. pp 96--100 ( @eprint ...

  61. [69]

    Kasai E., et al., 2023b, @doi [ ] 10.1093/mnras/stac3167 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518.2675K 518, 2675

  62. [70]

    Kaur A., et al., 2017, @doi [ ] 10.3847/1538-4357/834/1/41 , https://ui.adsabs.harvard.edu/abs/2017ApJ...834...41K 834, 41

  63. [71]

    M., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/36 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...36K 197, 36

    Koekemoer A. M., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/36 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...36K 197, 36

  64. [72]

    Landoni M., Falomo R., Treves A., Sbarufatti B., Barattini M., Decarli R., Kotilainen J., 2013, @doi [ ] 10.1088/0004-6256/145/4/114 , https://ui.adsabs.harvard.edu/abs/2013AJ....145..114L 145, 114

  65. [73]

    Landoni M., et al., 2015, @doi [ ] 10.1088/0004-6256/149/5/163 , https://ui.adsabs.harvard.edu/abs/2015AJ....149..163L 149, 163

  66. [74]

    Landoni M., Paiano S., Falomo R., Scarpa R., Treves A., 2018, @doi [ ] 10.3847/1538-4357/aac77c , https://ui.adsabs.harvard.edu/abs/2018ApJ...861..130L 861, 130

  67. [75]

    Landoni M., Falomo R., Paiano S., Treves A., 2020, @doi [ ] 10.3847/1538-4365/abb5ae , https://ui.adsabs.harvard.edu/abs/2020ApJS..250...37L 250, 37

  68. [76]

    F., Peter A

    Linden T., Beacom J. F., Peter A. H. G., Buckman B. J., Zhou B., Zhu G., 2022, @doi [ ] 10.1103/PhysRevD.105.063013 , https://ui.adsabs.harvard.edu/abs/2022PhRvD.105f3013L 105, 063013

  69. [77]

    J., et al., 2019, @doi [ ] 10.1007/s10509-018-3490-z , https://ui.adsabs.harvard.edu/abs/2019Ap&SS.364....5M 364, 5

    Marchesini E. J., et al., 2019, @doi [ ] 10.1007/s10509-018-3490-z , https://ui.adsabs.harvard.edu/abs/2019Ap&SS.364....5M 364, 5

  70. [78]

    Maselli A., et al., 2013, @doi [ ] 10.1088/0067-0049/206/2/17 , https://ui.adsabs.harvard.edu/abs/2013ApJS..206...17M 206, 17

  71. [79]

    Massaro E., Giommi P., Leto C., Marchegiani P., Maselli A., Perri M., Piranomonte S., Sclavi S., 2009, @doi [ ] 10.1051/0004-6361:200810161 , https://ui.adsabs.harvard.edu/abs/2009A&A...495..691M 495, 691

  72. [80]

    Massaro F., Masetti N., D'Abrusco R., Paggi A., Funk S., 2014, @doi [ ] 10.1088/0004-6256/148/4/66 , https://ui.adsabs.harvard.edu/abs/2014AJ....148...66M 148, 66

  73. [81]

    Massaro E., Maselli A., Leto C., Marchegiani P., Perri M., Giommi P., Piranomonte S., 2015a, @doi [ ] 10.1007/s10509-015-2254-2 , https://ui.adsabs.harvard.edu/abs/2015Ap&SS.357...75M 357, 75

  74. [82]

    A., Tosti G., 2015b, @doi [ ] 10.1051/0004-6361/201425119 , https://ui.adsabs.harvard.edu/abs/2015A&A...575A.124M 575, A124

    Massaro F., Landoni M., D'Abrusco R., Milisavljevic D., Paggi A., Masetti N., Smith H. A., Tosti G., 2015b, @doi [ ] 10.1051/0004-6361/201425119 , https://ui.adsabs.harvard.edu/abs/2015A&A...575A.124M 575, A124

  75. [83]

    Massaro F., et al., 2016, @doi [ ] 10.1007/s10509-016-2926-6 , https://ui.adsabs.harvard.edu/abs/2016Ap&SS.361..337M 361, 337

  76. [84]

    R., et al., 1996, @doi [ ] 10.1086/177068 , https://ui.adsabs.harvard.edu/abs/1996ApJ...461..396M 461, 396

    Mattox J. R., et al., 1996, @doi [ ] 10.1086/177068 , https://ui.adsabs.harvard.edu/abs/1996ApJ...461..396M 461, 396

  77. [85]

    M., Romani R

    Meisner A. M., Romani R. W., 2010, @doi [ ] 10.1088/0004-637X/712/1/14 , https://ui.adsabs.harvard.edu/abs/2010ApJ...712...14M 712, 14

  78. [86]

    A., Fatkhullin T

    Mishra S., Chand H., Krishna G., Joshi R., Shchekinov Y. A., Fatkhullin T. A., 2018, @doi [ ] 10.1093/mnras/stx2684 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.473.5154M 473, 5154

  79. [87]

    I., 1961, Zhur

    Nikishov A. I., 1961, Zhur. Eksptl'. i Teoret. Fiz., 41

  80. [88]

    Olmo-Garc \' a A., Paliya V. S., \'A lvarez Crespo N., Kumar B., Dom \' nguez A., Gil de Paz A., S \'a nchez-Bl \'a zquez P., 2022, @doi [ ] 10.1093/mnras/stac2640 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.5702O 516, 5702

  81. [89]

    Paggi A., et al., 2014, @doi [ ] 10.1088/0004-6256/147/5/112 , https://ui.adsabs.harvard.edu/abs/2014AJ....147..112P 147, 112

  82. [90]

    Paiano S., Landoni M., Falomo R., Treves A., Scarpa R., Righi C., 2017a, @doi [ ] 10.3847/1538-4357/837/2/144 , https://ui.adsabs.harvard.edu/abs/2017ApJ...837..144P 837, 144

  83. [91]

    Paiano S., Landoni M., Falomo R., Treves A., Scarpa R., 2017b, @doi [ ] 10.3847/1538-4357/aa7aac , https://ui.adsabs.harvard.edu/abs/2017ApJ...844..120P 844, 120

  84. [92]

    Paiano S., Falomo R., Franceschini A., Treves A., Scarpa R., 2017c, @doi [ ] 10.3847/1538-4357/aa9af4 , https://ui.adsabs.harvard.edu/abs/2017ApJ...851..135P 851, 135

  85. [93]

    Paiano S., Falomo R., Treves A., Franceschini A., Scarpa R., 2019, @doi [ ] 10.3847/1538-4357/aaf6e4 , https://ui.adsabs.harvard.edu/abs/2019ApJ...871..162P 871, 162

  86. [94]

    Paiano S., Falomo R., Treves A., Scarpa R., 2020, @doi [ ] 10.1093/mnras/staa1840 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.497...94P 497, 94

  87. [95]

    Paiano S., Falomo R., Treves A., Padovani P., Giommi P., Scarpa R., Bisogni S., Marini E., 2023, @doi [ ] 10.1093/mnras/stad573 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.2270P 521, 2270

  88. [96]

    S., Ajello M., Cao H

    Paliya V. S., Ajello M., Cao H. M., Giroletti M., Kaur A., Madejski G., Lott B., Hartmann D., 2020, @doi [ ] 10.3847/1538-4357/ab9c1a , https://ui.adsabs.harvard.edu/abs/2020ApJ...897..177P 897, 177

  89. [97]

    S., Dom \' nguez A., Ajello M., Olmo-Garc \' a A., Hartmann D., 2021, @doi [ ] 10.3847/1538-4365/abe135 , https://ui.adsabs.harvard.edu/abs/2021ApJS..253...46P 253, 46

    Paliya V. S., Dom \' nguez A., Ajello M., Olmo-Garc \' a A., Hartmann D., 2021, @doi [ ] 10.3847/1538-4365/abe135 , https://ui.adsabs.harvard.edu/abs/2021ApJS..253...46P 253, 46

  90. [98]

    A., et al., 2017, @doi [ ] 10.1007/s10509-017-3208-7 , https://ui.adsabs.harvard.edu/abs/2017Ap&SS.362..228P 362, 228

    Pe \ n a-Herazo H. A., et al., 2017, @doi [ ] 10.1007/s10509-017-3208-7 , https://ui.adsabs.harvard.edu/abs/2017Ap&SS.362..228P 362, 228

  91. [99]

    A., et al., 2019, @doi [ ] 10.1007/s10509-019-3574-4 , https://ui.adsabs.harvard.edu/abs/2019Ap&SS.364...85P 364, 85

    Pe \ n a-Herazo H. A., et al., 2019, @doi [ ] 10.1007/s10509-019-3574-4 , https://ui.adsabs.harvard.edu/abs/2019Ap&SS.364...85P 364, 85

  92. [100]

    A., et al., 2020, @doi [ ] 10.1051/0004-6361/202037978 , https://ui.adsabs.harvard.edu/abs/2020A&A...643A.103P 643, A103

    Pe \ n a-Herazo H. A., et al., 2020, @doi [ ] 10.1051/0004-6361/202037978 , https://ui.adsabs.harvard.edu/abs/2020A&A...643A.103P 643, A103

  93. [101]

    A., et al., 2021a, @doi [ ] 10.3847/1538-3881/abe41d , https://ui.adsabs.harvard.edu/abs/2021AJ....161..196P 161, 196

    Pe \ n a-Herazo H. A., et al., 2021a, @doi [ ] 10.3847/1538-3881/abe41d , https://ui.adsabs.harvard.edu/abs/2021AJ....161..196P 161, 196

  94. [102]

    A., et al., 2021b, @doi [ ] 10.3847/1538-3881/ac1da7 , https://ui.adsabs.harvard.edu/abs/2021AJ....162..177P 162, 177

    Pe \ n a-Herazo H. A., et al., 2021b, @doi [ ] 10.3847/1538-3881/ac1da7 , https://ui.adsabs.harvard.edu/abs/2021AJ....162..177P 162, 177

  95. [103]

    M., Acosta Pulido J

    Raiteri C. M., Acosta Pulido J. A., Villata M., Carnerero M. I., Romano P., Vercellone S., 2020, @doi [ ] 10.1093/mnras/staa453 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.2793R 493, 2793

  96. [104]

    Rajagopal M., Marchesi S., Kaur A., Dom \' nguez A., Silver R., Ajello M., 2021, @doi [ ] 10.3847/1538-4365/abf656 , https://ui.adsabs.harvard.edu/abs/2021ApJS..254...26R 254, 26

  97. [105]

    Rajagopal M., Marcotulli L., Labrie K., Marchesi S., Ajello M., 2023, @doi [ ] 10.3847/1538-3881/aca1be , https://ui.adsabs.harvard.edu/abs/2023AJ....165...42R 165, 42

  98. [106]

    Ricci F., et al., 2015, @doi [ ] 10.1088/0004-6256/149/5/160 , https://ui.adsabs.harvard.edu/abs/2015AJ....149..160R 149, 160

  99. [107]

    E., Ellis R

    Robertson B. E., Ellis R. S., Dunlop J. S., McLure R. J., Stark D. P., 2010, @doi [ ] 10.1038/nature09527 , https://ui.adsabs.harvard.edu/abs/2010Natur.468...49R 468, 49

  100. [108]

    C., Donzelli C., Muriel H., Cillis A., Pichel A., 2013, in International Cosmic Ray Conference

    Rovero A. C., Donzelli C., Muriel H., Cillis A., Pichel A., 2013, in International Cosmic Ray Conference. p. 2676 ( @eprint arXiv 1307.6907 ), @doi 10.48550/arXiv.1307.6907

  101. [109]

    C., Donzelli C., Pichel A., Muriel H., 2015, @doi [arXiv e-prints] 10.48550/arXiv.1509.08377 , https://ui.adsabs.harvard.edu/abs/2015arXiv150908377R p

    Rovero A. C., Donzelli C., Pichel A., Muriel H., 2015, @doi [arXiv e-prints] 10.48550/arXiv.1509.08377 , https://ui.adsabs.harvard.edu/abs/2015arXiv150908377R p. arXiv:1509.08377

  102. [110]

    C., Muriel H., Donzelli C., Pichel A., 2016, @doi [ ] 10.1051/0004-6361/201527778 , https://ui.adsabs.harvard.edu/abs/2016A&A...589A..92R 589, A92

    Rovero A. C., Muriel H., Donzelli C., Pichel A., 2016, @doi [ ] 10.1051/0004-6361/201527778 , https://ui.adsabs.harvard.edu/abs/2016A&A...589A..92R 589, A92

  103. [111]

    I., Medina-Carrillo B., Pacheco-Ak \'e R

    Sahu S., P \'a ez-S \'a nchez D. I., Medina-Carrillo B., Pacheco-Ak \'e R. d. J., S \'a nchez-Col \'o n G., Rajpoot S., 2024, @doi [ ] 10.1093/mnras/stae1847 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.533.2156S 533, 2156

  104. [112]

    G., Finke J., Ajello M., Primack J

    Saldana-Lopez A., Dom \' nguez A., P \'e rez-Gonz \'a lez P. G., Finke J., Ajello M., Primack J. R., Paliya V. S., Desai A., 2021, @doi [ ] 10.1093/mnras/stab2393 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.507.5144S 507, 5144

  105. [113]

    P., Foschini L., Landoni M., Sbarufatti B., 2013, @doi [ ] 10.1088/0004-6256/146/6/163 , https://ui.adsabs.harvard.edu/abs/2013AJ....146..163S 146, 163

    Sandrinelli A., Treves A., Falomo R., Farina E. P., Foschini L., Landoni M., Sbarufatti B., 2013, @doi [ ] 10.1088/0004-6256/146/6/163 , https://ui.adsabs.harvard.edu/abs/2013AJ....146..163S 146, 163

  106. [114]

    Sbarufatti B., Treves A., Falomo R., Heidt J., Kotilainen J., Scarpa R., 2005, @doi [ ] 10.1086/427138 , https://ui.adsabs.harvard.edu/abs/2005AJ....129..559S 129, 559

  107. [115]

    Sbarufatti B., Falomo R., Treves A., Kotilainen J., 2006, @doi [ ] 10.1051/0004-6361:20065455 , https://ui.adsabs.harvard.edu/abs/2006A&A...457...35S 457, 35

  108. [116]

    Sbarufatti B., Ciprini S., Kotilainen J., Decarli R., Treves A., Veronesi A., Falomo R., 2009, @doi [ ] 10.1088/0004-6256/137/1/337 , https://ui.adsabs.harvard.edu/abs/2009AJ....137..337S 137, 337

  109. [117]

    S., et al., 2012, @doi [ ] 10.1088/0004-637X/748/1/49 , https://ui.adsabs.harvard.edu/abs/2012ApJ...748...49S 748, 49

    Shaw M. S., et al., 2012, @doi [ ] 10.1088/0004-637X/748/1/49 , https://ui.adsabs.harvard.edu/abs/2012ApJ...748...49S 748, 49

  110. [118]

    S., et al., 2013, @doi [ ] 10.1088/0004-637X/764/2/135 , https://ui.adsabs.harvard.edu/abs/2013ApJ...764..135S 764, 135

    Shaw M. S., et al., 2013, @doi [ ] 10.1088/0004-637X/764/2/135 , https://ui.adsabs.harvard.edu/abs/2013ApJ...764..135S 764, 135

  111. [119]

    W., de Jager O

    Stecker F. W., de Jager O. C., Salamon M. H., 1992, @doi [ ] 10.1086/186369 , https://ui.adsabs.harvard.edu/abs/1992ApJ...390L..49S 390, L49

  112. [120]

    W., Scully S

    Stecker F. W., Scully S. T., Malkan M. A., 2016, @doi [ ] 10.3847/0004-637X/827/1/6 , https://ui.adsabs.harvard.edu/abs/2016ApJ...827....6S 827, 6

  113. [121]

    B., 2005, in Shopbell P., Britton M., Ebert R., eds, Astronomical Society of the Pacific Conference Series Vol

    Taylor M. B., 2005, in Shopbell P., Britton M., Ebert R., eds, Astronomical Society of the Pacific Conference Series Vol. 347, Astronomical Data Analysis Software and Systems XIV. p. 29

  114. [122]

    A., Buzzoni A., Andruchow I., Portilla J

    Torres-Zafra J., Cellone S. A., Buzzoni A., Andruchow I., Portilla J. G., 2018, @doi [ ] 10.1093/mnras/stx2561 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.474.3162T 474, 3162

  115. [123]

    M., Padovani P., 1995, @doi [ ] 10.1086/133630 , https://ui.adsabs.harvard.edu/abs/1995PASP..107..803U 107, 803

    Urry C. M., Padovani P., 1995, @doi [ ] 10.1086/133630 , https://ui.adsabs.harvard.edu/abs/1995PASP..107..803U 107, 803

  116. [124]

    P., Horan D., 2008, International Cosmic Ray Conference, http://adsabs.harvard.edu/abs/2008ICRC....3.1341W 3, 1341

    Wakely S. P., Horan D., 2008, International Cosmic Ray Conference, http://adsabs.harvard.edu/abs/2008ICRC....3.1341W 3, 1341

  117. [125]

    de Menezes R., et al., 2019, @doi [ ] 10.1051/0004-6361/201936195 , https://ui.adsabs.harvard.edu/abs/2019A&A...630A..55D 630, A55

  118. [126]

    de Menezes R., et al., 2020, @doi [ ] 10.1007/s10509-020-3727-5 , https://ui.adsabs.harvard.edu/abs/2020Ap&SS.365...12D 365, 12

  119. [127]

    von Kienlin A., et al., 2020, @doi [ ] 10.3847/1538-4357/ab7a18 , https://ui.adsabs.harvard.edu/abs/2020ApJ...893...46V 893, 46

  120. [128]

    write newline

    " write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.stat...

Pith tools

Reviewed August 12, 2026 · model on record in the stance chip above.