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REVIEW 2 major objections 4 minor 5 cited by

The paper searches for neutrinos from dark matter annihilation or decay at the Galactic Center using 9.28 years of IceCube-DeepCore data and reports no significant signal, setting the strongest neutrino-telescope limits on GeV-scale dark ma

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · deepseek-v4-flash

2026-08-04 00:24 UTC pith:BS7JVNPF

load-bearing objection A careful IceCube limit setter that improves GeV-scale DM limits, but the 'strongest neutrino telescope' claim is missing the KM3NeT comparison and the unmeasured sub-TeV Galactic Plane flux is a real caveat. the 2 major comments →

arxiv 2511.00918 v2 pith:BS7JVNPF submitted 2025-11-02 astro-ph.HE

Search for GeV-scale Dark Matter from the Galactic Center with IceCube-DeepCore

The IceCube Collaboration: R. Abbasi , M. Ackermann , J. Adams , S. K. Agarwalla , J. A. Aguilar , M. Ahlers , J.M. Alameddine , S. Ali
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N. M. Amin K. Andeen C. Arg\"uelles Y. Ashida S. Athanasiadou S. N. Axani R. Babu X. Bai J. Baines-Holmes A. Balagopal V. S. W. Barwick S. Bash V. Basu R. Bay J. J. Beatty J. Becker Tjus P. Behrens J. Beise C. Bellenghi B. Benkel S. BenZvi D. Berley E. Bernardini D. Z. Besson E. Blaufuss L. Bloom S. Blot I. Bodo F. Bontempo J. Y. Book Motzkin C. Boscolo Meneguolo S. B\"oser O. Botner J. B\"ottcher J. Braun B. Brinson Z. Brisson-Tsavoussis R. T. Burley D. Butterfield M. A. Campana K. Carloni J. Carpio S. Chattopadhyay N. Chau Z. Chen D. Chirkin S. Choi B. A. Clark A. Coleman P. Coleman G. H. Collin D. A. Coloma Borja A. Connolly J. M. Conrad D. F. Cowen C. De Clercq J. J. DeLaunay D. Delgado T. Delmeulle S. Deng P. Desiati K. D. de Vries G. de Wasseige T. DeYoung J. C. D\'iaz-V\'elez S. DiKerby T. Ding M. Dittmer A. Domi L. Draper L. Dueser D. Durnford K. Dutta M. A. DuVernois T. Ehrhardt L. Eidenschink A. Eimer C. Eldridge P. Eller E. Ellinger D. Els\"asser R. Engel H. Erpenbeck W. Esmail S. Eulig J. Evans P. A. Evenson K. L. Fan K. Fang K. Farrag A. R. Fazely A. Fedynitch N. Feigl C. Finley L. Fischer D. Fox A. Franckowiak S. Fukami P. F\"urst J. Gallagher E. Ganster A. Garcia M. Garcia G. Garg E. Genton L. Gerhardt A. Ghadimi T. Gl\"usenkamp J. G. Gonzalez S. Goswami A. Granados D. Grant S. J. Gray S. Griffin S. Griswold K. M. Groth D. Guevel C. G\"unther P. Gutjahr C. Ha C. Haack A. Hallgren L. Halve F. Halzen L. Hamacher M. Ha Minh M. Handt K. Hanson J. Hardin A. A. Harnisch P. Hatch A. Haungs J. H\"au{\ss}ler K. Helbing J. Hellrung B. Henke L. Hennig F. Henningsen L. Heuermann R. Hewett N. Heyer S. Hickford A. Hidvegi C. Hill G. C. Hill R. Hmaid K. D. Hoffman D. Hooper S. Hori K. Hoshina M. Hostert W. Hou M. Hrywniak T. Huber K. Hultqvist K. Hymon A. Ishihara W. Iwakiri M. Jacquart S. Jain O. Janik M. Jansson M. Jeong M. Jin N. Kamp D. Kang W. Kang A. Kappes L. Kardum T. Karg M. Karl A. Karle A. Katil M. Kauer J. L. Kelley M. Khanal A. Khatee Zathul A. Kheirandish H. Kimku J. Kiryluk C. Klein S. R. Klein Y. Kobayashi A. Kochocki R. Koirala H. Kolanoski T. Kontrimas L. K\"opke C. Kopper D. J. Koskinen P. Koundal M. Kowalski T. Kozynets A. Kravka N. Krieger J. Krishnamoorthi T. Krishnan K. Kruiswijk E. Krupczak A. Kumar E. Kun N. Kurahashi N. Lad C. Lagunas Gualda L. Lallement Arnaud M. J. Larson F. Lauber J. P. Lazar K. Leonard DeHolton A. Leszczy\'nska C. Li J. Liao C. Lin Q. R. Liu Y. T. Liu M. Liubarska C. Love L. Lu F. Lucarelli W. Luszczak Y. Lyu M. Macdonald J. Madsen E. Magnus Y. Makino E. Manao S. Mancina A. Mand I. C. Mari{\c{s}} S. Marka Z. Marka L. Marten I. Martinez-Soler R. Maruyama J. Mauro F. Mayhew F. McNally J. V. Mead K. Meagher S. Mechbal A. Medina M. Meier Y. Merckx L. Merten J. Mitchell L. Molchany S. Mondal T. Montaruli R. W. Moore Y. Morii A. Mosbrugger M. Moulai D. Mousadi E. Moyaux T. Mukherjee R. Naab M. Nakos U. Naumann J. Necker L. Neste M. Neumann H. Niederhausen M. U. Nisa K. Noda A. Noell A. Novikov A. Obertacke V. O'Dell A. Olivas R. Orsoe J. Osborn E. O'Sullivan V. Palusova H. Pandya A. Parenti N. Park V. Parrish E. N. Paudel L. Paul C. P\'erez de los Heros T. Pernice T. C. Petersen J. Peterson M. Plum A. Pont\'en V. Poojyam Y. Popovych M. Prado Rodriguez B. Pries R. Procter-Murphy G. T. Przybylski L. Pyras C. Raab J. Rack-Helleis N. Rad M. Ravn K. Rawlins Z. Rechav A. Rehman I. Reistroffer E. Resconi S. Reusch C. D. Rho W. Rhode L. Ricca B. Riedel A. Rifaie E. J. Roberts M. Rongen A. Rosted C. Rott T. Ruhe L. Ruohan D. Ryckbosch J. Saffer D. Salazar-Gallegos P. Sampathkumar A. Sandrock G. Sanger-Johnson M. Santander S. Sarkar M. Scarnera P. Schaile M. Schaufel H. Schieler S. Schindler L. Schlickmann B. Schl\"uter F. Schl\"uter N. Schmeisser T. Schmidt F. G. Schr\"oder L. Schumacher S. Schwirn S. Sclafani D. Seckel L. Seen M. Seikh S. Seunarine P. A. Sevle Myhr R. Shah S. Shah S. Shefali N. Shimizu B. Skrzypek R. Snihur J. Soedingrekso A. S{\o}gaard D. Soldin P. Soldin G. Sommani C. Spannfellner G. M. Spiczak C. Spiering J. Stachurska M. Stamatikos T. Stanev T. Stezelberger T. St\"urwald T. Stuttard G. W. Sullivan I. Taboada S. Ter-Antonyan A. Terliuk A. Thakuri M. Thiesmeyer W. G. Thompson J. Thwaites S. Tilav K. Tollefson S. Toscano D. Tosi A. Trettin A. K. Upadhyay K. Upshaw A. Vaidyanathan N. Valtonen-Mattila J. Valverde J. Vandenbroucke T. Van Eeden N. van Eijndhoven L. Van Rootselaar J. van Santen J. Vara F. Varsi M. Venugopal M. Vereecken S. Vergara Carrasco S. Verpoest D. Veske A. Vijai J. Villarreal C. Walck A. Wang E. H. S. Warrick C. Weaver P. Weigel A. Weindl J. Weldert A. Y. Wen C. Wendt J. Werthebach M. Weyrauch N. Whitehorn C. H. Wiebusch D. R. Williams L. Witthaus M. Wolf G. Wrede X. W. Xu J. P. Yanez Y. Yao E. Yildizci S. Yoshida R. Young F. Yu S. Yu T. Yuan S. Yun-C\'arcamo A. Zander Jurowitzki A. Zegarelli S. Zhang Z. Zhang P. Zhelnin P. Zilberman
This is my paper
classification astro-ph.HE
keywords dark matterGalactic Centerneutrino telescopeIceCube-DeepCoreindirect detectionannihilation cross-sectiondark matter lifetimeGeV-scale dark matter
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

The paper searches for neutrinos produced by dark matter annihilation or decay in the Galactic Center using 9.28 years of IceCube-DeepCore data optimized for 15–200 GeV events. It finds no significant excess over the background from atmospheric neutrinos and muons; the most significant candidate, a 201.6 GeV annihilation into b-bbar with an NFW halo, has a post-trial significance of 1.08σ. In the absence of a signal, it sets 90% C.L. upper limits on the annihilation cross-section around 10^-24 cm^3/s and lower limits on the decay lifetime up to 10^26 s for masses from 5 GeV to 8 TeV. The limits strengthen previous IceCube results by about an order of magnitude near 10 GeV and are claimed to be the strongest neutrino-telescope constraints on GeV-scale dark matter. The result matters because it narrows the allowed particle-physics models for dark matter at masses where other probes are weak.

Core claim

The central claim is that the Galactic Center does not emit a detectable flux of GeV-to-TeV neutrinos from dark matter annihilation or decay. After fitting a binned Poisson likelihood to reconstructed energy and angular distance from the Galactic Center, the best-fit signal fraction is consistent with zero for every tested mass, channel, and halo profile. The paper therefore reports null results and converts them into constraints: for annihilation into neutrino lines, the 90% C.L. upper limits on ⟨σv⟩ reach a few times 10^-25–10^-24 cm^3/s, and for decay the lower limits on the lifetime reach 10^26 s. The strongest neutrino-line limits are the world-leading ones for DM masses from a few tens

What carries the argument

The analysis's key object is the two-dimensional probability density over reconstructed energy and opening angle from the Galactic Center, built for signal from simulation and for background by randomizing right ascension of the data (time-scrambling). The signal fraction ξ is the only fitted parameter; the limits on ⟨σv⟩ and lifetime follow from converting ξ through the expected event rate. The RA-scrambled background is what makes the search robust to many systematic errors, because it uses the data themselves rather than a Monte Carlo background prediction.

Load-bearing premise

The background template is built by scrambling the right ascension of the observed events, which is unbiased only if every non-dark-matter background, including the recently discovered diffuse neutrino emission from the Galactic Plane, is uniform in right ascension; the paper extrapolates that Galactic Plane flux from TeV energies down to GeV with an unverified power law.

What would settle it

Measure the diffuse neutrino flux from the Galactic Plane at energies between roughly 15 and 200 GeV—for example with the future IceCube-Upgrade or another high-statistics GeV-neutrino detector. If the measured flux exceeds the extrapolation used here (the TeV best-fit power law extended without a break), then the background-subtraction procedure would misestimate the null expectation, and the reported upper limits on dark matter annihilation and decay would need revision.

Watch this falsifier. Get emailed when new claim-graph text bears on it.

If this is right

  • The limits exclude at 90% C.L. a large class of thermal-relic dark matter models annihilating into neutrino lines, assuming the NFW profile.
  • Near 10 GeV, the constraints improve on the previous IceCube bounds by about an order of magnitude.
  • The neutrino-line lower limits on dark matter lifetime (up to 10^26 s) are the strongest from any neutrino telescope and world-leading in the tens-to-hundreds GeV range.
  • For cored (Burkert) halo profiles, the annihilation limits weaken by roughly a factor of 3–5, but the decay-lifetime limits are only mildly affected.
  • The null result is consistent with the background-only hypothesis, so it does not support the dark matter interpretation of the Fermi GeV excess.

Where Pith is reading between the lines

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

  • If the diffuse neutrino flux from the Galactic Plane at energies below 1 TeV is larger than the extrapolated TeV best-fit spectrum used here, the RA-scrambling background template would be biased and the derived limits would shift; a direct measurement of that flux at 15–200 GeV would settle this.
  • Because energy information is largely diluted in the scrambled background, the sensitivity of this search comes mainly from angular direction; an analysis that models the energy spectrum of backgrounds explicitly could improve limits for all channels, not just the line channels.
  • The same data-driven method could be applied to other dark-matter-dense targets such as dwarf spheroidal galaxies, where the astrophysical J-factor is lower but the background is cleaner and more isotropic.
  • With the future IceCube-Upgrade, the threshold will drop, likely extending this kind of search to dark matter masses below 5 GeV where current limits disappear.

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

2 major / 4 minor

Summary. The paper presents a search for GeV-scale dark matter (DM) annihilation and decay signals from the Galactic Center using 9.28 years of IceCube-DeepCore data. The analysis uses a binned Poisson likelihood in reconstructed energy and opening angle, with a data-driven RA-scrambled background and a single fitted signal fraction. No significant excess is found; the best post-trial significance is 1.08σ for 201.6 GeV DM annihilating to b¯b. The paper then derives 90% C.L. upper limits on the annihilation cross-section (order 10^-24 cm^3/s) and lower limits on the decay lifetime (up to 10^26 s) for masses from 5 GeV to 8 TeV, across several channels and two halo profiles. It claims order-of-magnitude improvement over previous IceCube limits at ~10 GeV and world-leading neutrino-telescope constraints for GeV-scale DM.

Significance. If the results hold, they constitute a solid improvement in neutrino-telescope sensitivity to sub-TeV DM, particularly in the 10–100 GeV mass range, and provide a useful benchmark for future GeV-scale searches. The analysis uses a standard likelihood framework, validates the post-trial significance with 10,000 scrambled pseudo-trials, and evaluates detector systematics through dedicated varied simulations. The main risk to the central claim is the treatment of the recently discovered Galactic-Plane diffuse neutrino flux, which is not RA-uniform, is unmeasured below 1 TeV, and is spatially concentrated toward the Galactic Center—the same region targeted by the DM search.

major comments (2)
  1. [Sec. II and Sec. IV (Eqs. 4–6)] The RA-scrambling background B_scr is unbiased only if every non-DM background is uniform in right ascension. The paper itself identifies the Galactic-Plane (GP) diffuse flux as non-uniform (Sec. II), but justifies its smallness by quoting a global event fraction of 0.01%–0.05% obtained from an unmeasured extrapolation of the TeV spectrum. This global fraction is not the relevant quantity: the DM search concentrates on small Ψ_reco and low E_reco, where the GP—concentrated along the plane containing the Galactic Center—can have a substantially larger relative normalization. The paper does not report the GP fraction inside the signal region for either the π0 or KRA_γ template, so the claim that GP is negligible is not established by the presented numbers.
  2. [Sec. V (Eq. 8)] The GP robustness tests quote up to 30% changes in median sensitivity for different GP templates and normalizations, including leaving g free. This is within the quoted 1σ statistical band, but it is not a demonstration that the observed result and the derived limits are unaffected. The paper does not repeat the actual data fit with Eq. (8)—for g fixed to the two model predictions and for g free—to show the shifts in the best-fit signal fraction, post-trial significance, and 90% C.L. limits. The concluding statement that the analysis is ‘insensitive’ to the GP contribution is therefore stronger than what is demonstrated. A 30% shift in limits could affect the claimed world-leading status in some mass ranges, and should be quantified directly on the observed data.
minor comments (4)
  1. [Eqs. (1)–(2)] The notation for J(Ψ) and D(Ψ) is ambiguous: Eq. (2) integrates over the solid angle Ω, making J cumulative within a cone, while Eq. (1) labels the flux as a function of Ψ. Clarify whether J(Ψ) is intended per unit solid angle (with the Ω integration omitted) and confirm that the signal PDF normalization is derived from the differential J-factor. The text should be explicit about how the Clumpy output is used in the response-matrix convolution.
  2. [Eqs. (5)–(6)] The signal-subtraction likelihood requires a parameter constraint that is not stated. For large ξ, in bins where ξS_scr_i exceeds B_scr_i, the expected count μ_i in Eq. (3) can become negative, which is unphysical for a Poisson mean. The paper should state explicitly that ξ is constrained to [0,1] (as is later done for ξ+g in Eq. (8)) and describe how bins with non-positive μ_i are treated in the likelihood and in the q_ξ computation.
  3. [Figs. 9–10 and Ref. [26]] The KM3NeT result [26] is cited in the Introduction but is not included or discussed in the comparison figures. If the paper claims the strongest neutrino-telescope limits, the comparison should either include KM3NeT or explain why it is not shown. Otherwise the world-leading statement is incomplete.
  4. [General] Minor wording: ‘Wilk’s theorem’ should be ‘Wilks’ theorem.’ The phrase ‘significantly smaller than the statistical fluctuation’ (Sec. V) is misleading for a 30% deviation against a 1σ band that spans a factor ~0.6–2; suggest ‘within the 1σ statistical band.’ The reconstructed-energy range is quoted as 1–1000 GeV in Sec. II but the abstract emphasizes 15–200 GeV; clarify the selection’s designed band.

Circularity Check

0 steps flagged

No significant circularity: the search is a standard likelihood fit of a signal fraction to data, with the background built from RA-scrambled data and an explicit signal-subtraction correction.

full rationale

The paper's derivation chain is not circular. The DM signal expectation is computed from independent inputs: the halo J/D-factors (Eq. 1-2) with profiles from Ref. [46], neutrino energy spectra from χaroν/PYTHIA-8.2 and EW-corrected spectra [48,49], and a MC-based response matrix. The background is data-driven via RA-scrambling (Sec. IV), but the signal-subtraction prescription in Eq. 5 explicitly prevents a potential signal from being absorbed into the background: B_i = (B_scr_i − ξ S_scr_i)/(1−ξ), and Eq. 6 then gives f = ξS + B_scr − ξS_scr. This is a self-consistent statistical model, not a definition of the result. The only fitted parameter is the signal fraction ξ; no fitted quantity is relabeled as a prediction. Upper limits are obtained with the standard likelihood-ratio q_ξ (Eq. 9) after validating the χ² approximation with pseudo-experiments. The Galactic-Plane diffuse flux is an acknowledged, unmeasured background component in the signal region; the paper tests it with explicit nuisance-parameter variations in Eq. 8 (Sec. V) and finds at most ~30% sensitivity changes, then omits it from the final hypothesis for the reasons stated. This is a limitation and a systematic uncertainty, not circular reasoning. Self-citations to previous IceCube analyses [23,34-36,40] provide the event sample, reconstruction, and the RA-scrambling method, but those are prior published, externally validated results; the central null result and the presented limits are computed in this paper from the data and MC described here. No step reduces to its own input by construction, and no load-bearing appeal is made to an unverified self-citation.

Axiom & Free-Parameter Ledger

2 free parameters · 5 axioms · 0 invented entities

The paper introduces no new particles, forces, or entities. It relies on standard signal-flux formulas, published neutrino spectra, two halo profiles, and a data-driven background model. The only fitted quantities are the signal fraction and, in systematics tests, the Galactic Plane fraction.

free parameters (2)
  • Signal fraction ξ = Fitted per mass/channel/profile; see Appendix Tables I-VII
    The parameter of interest in the binned likelihood. Its best-fit value and 90% C.L. upper limit are translated into annihilation cross-section and lifetime limits. This is not a nuisance parameter but the quantity being constrained.
  • Galactic Plane fraction g = Set to 0 in nominal limits; tested as fixed model prediction or free nuisance parameter in systematics
    Appears in Eq. (8) as the fraction of Galactic Plane diffuse emission. It is not included in the final limits because its estimated contribution is tiny, but it is a free parameter in the systematic robustness tests.
axioms (5)
  • domain assumption Dark matter is assumed to be a Majorana particle, setting k=2 in the annihilation flux formula.
    Stated in Section III. If DM is Dirac, limits scale up by a factor of 2. This is a standard convention and explicitly flagged.
  • domain assumption The Milky Way DM halo is bracketed by NFW and Burkert profiles with parameters from Nesti & Salucci [46].
    Used to compute J- and D-factors. The paper acknowledges that the central DM density can vary by up to three orders of magnitude; limits are conditional on these profiles.
  • domain assumption RA-scrambled data provide an unbiased background estimate, i.e., all non-DM backgrounds are uniform in right ascension.
    This is the core background-model assumption introduced in Section IV. The paper discusses its validity and partially tests the main RA-dependent background (Galactic Plane emission).
  • domain assumption The neutrino spectra from annihilation/decay channels are correctly given by χaroν/PYTHIA and EW-corrected calculations [48,49].
    The signal PDFs depend entirely on these spectra. The paper does not validate them internally but cites established public frameworks.
  • standard math Neutrino oscillations over astrophysical distances are averaged with standard oscillation parameters.
    Used in the signal flux propagation from the Galactic Center to Earth. This is a standard treatment in indirect DM searches.

pith-pipeline@v1.3.0-alltime-deepseek · 31762 in / 11968 out tokens · 137115 ms · 2026-08-04T00:24:50.772366+00:00 · methodology

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read the original abstract

Models describing dark matter as a novel particle often predict that its annihilation or decay into Standard Model particles could produce a detectable neutrino flux in regions of high dark matter density, such as the Galactic Center. In this work, we search for these neutrinos using $\sim$9 years of IceCube-DeepCore data with an event selection optimized for energies between 15 GeV to 200 GeV. We considered several annihilation and decay channels and dark matter masses ranging from 15 GeV up to 8 TeV. No significant deviation from the background expectation from atmospheric neutrinos and muons was found. The most significant result was found for a dark matter mass of 201.6 GeV annihilating into a pair of $b\bar{b}$ quarks assuming the Navarro-Frenk-White halo profile with a post-trial significance of $1.08 \;\sigma$. We present upper limits on the thermally-averaged annihilation cross-section of the order of $10^{-24}~\mathrm{cm}^3 \mathrm{s}^{-1}$, as well as lower limits on the dark matter decay lifetime up to $10^{26}~\mathrm{s}$ for dark matter masses between 5 GeV up to 8 TeV. These results strengthen the current IceCube limits on dark matter masses above 20 GeV and provide an order of magnitude improvement at lower masses. In addition, they represent the strongest constraints from any neutrino telescope on GeV-scale dark matter and are among the world-leading limits for several dark matter scenarios.

Figures

Figures reproduced from arXiv: 2511.00918 by A. A. Harnisch, A. Balagopal V., A. Coleman, A. Connolly, A. Domi, A. Eimer, A. Fedynitch, A. Franckowiak, A. Garcia, A. Ghadimi, A. Granados, A. Hallgren, A. Haungs, A. Hidvegi, A. Ishihara, A. Kappes, A. Karle, A. Katil, A. Khatee Zathul, A. Kheirandish, A. Kochocki, A. Kravka, A. Kumar, A. K. Upadhyay, A. Leszczy\'nska, A. Mand, A. Medina, A. Mosbrugger, A. Noell, A. Novikov, A. Obertacke, A. Olivas, A. Parenti, A. Pont\'en, A. Rehman, A. R. Fazely, A. Rifaie, A. Rosted, A. Sandrock, A. S{\o}gaard, A. Terliuk, A. Thakuri, A. Trettin, A. Vaidyanathan, A. Vijai, A. Wang, A. Weindl, A. Y. Wen, A. Zander Jurowitzki, A. Zegarelli, B. A. Clark, B. Benkel, B. Brinson, B. Henke, B. Pries, B. Riedel, B. Schl\"uter, B. Skrzypek, C. Arg\"uelles, C. Bellenghi, C. Boscolo Meneguolo, C. De Clercq, C. D. Rho, C. Eldridge, C. Finley, C. G\"unther, C. Ha, C. Haack, C. Hill, C. H. Wiebusch, C. Klein, C. Kopper, C. Lagunas Gualda, C. Li, C. Lin, C. Love, C. P\'erez de los Heros, C. Raab, C. Rott, C. Spannfellner, C. Spiering, C. Walck, C. Weaver, C. Wendt, D. A. Coloma Borja, D. Berley, D. Butterfield, D. Chirkin, D. Delgado, D. Durnford, D. Els\"asser, D. F. Cowen, D. Fox, D. Grant, D. Guevel, D. Hooper, D. J. Koskinen, D. Kang, D. Mousadi, D. R. Williams, D. Ryckbosch, D. Salazar-Gallegos, D. Seckel, D. Soldin, D. Tosi, D. Veske, D. Z. Besson, E. Bernardini, E. Blaufuss, E. Ellinger, E. Ganster, E. Genton, E. H. S. Warrick, E. J. Roberts, E. Krupczak, E. Kun, E. Magnus, E. Manao, E. Moyaux, E. N. Paudel, E. O'Sullivan, E. Resconi, E. Yildizci, F. Bontempo, F. G. Schr\"oder, F. Halzen, F. Henningsen, F. Lauber, F. Lucarelli, F. Mayhew, F. McNally, F. Schl\"uter, F. Varsi, F. Yu, G. C. Hill, G. de Wasseige, G. Garg, G. H. Collin, G. M. Spiczak, G. Sanger-Johnson, G. Sommani, G. T. Przybylski, G. Wrede, G. W. Sullivan, H. Erpenbeck, H. Kimku, H. Kolanoski, H. Niederhausen, H. Pandya, H. Schieler, I. Bodo, I. C. Mari{\c{s}}, I. 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Figure 2
Figure 2. Figure 2: FIG. 2. Predicted event rate as the function of true neu [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Two-dimensional PDFs as a function of reconstructed energy ( [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Two-dimensional PDF of background estimated as [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Pull distribution between null hypothesis and best-fit signal [PITH_FULL_IMAGE:figures/full_fig_p010_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. The ratio of the observed event distribution and best-fit hypothesis to the null hypothesis as a function of reconstructed [PITH_FULL_IMAGE:figures/full_fig_p010_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7 [PITH_FULL_IMAGE:figures/full_fig_p011_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. 90% C.L. upper limits on the thermally-averaged self-annihilation cross-section [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. Sensitivity and upper limits on the thermally-averaged cross-section for the [PITH_FULL_IMAGE:figures/full_fig_p013_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10. Sensitivity and lower limits on the DM lifetime for the [PITH_FULL_IMAGE:figures/full_fig_p013_10.png] view at source ↗

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