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arxiv: 2605.06600 · v1 · submitted 2026-05-07 · ✦ hep-ex · astro-ph.HE

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Sensitivity Projections for Low-Mass Dark Matter Annihilation with the IceCube Upgrade

R. Abbasi , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , J.M. Alameddine , S. Ali , N. M. Amin
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K. Andeen C. Arg\"uelles Y. Ashida S. Athanasiadou S. N. Axani R. Babu X. Bai A. Balagopal V. S. W. Barwick V. Basu R. Bay J. J. Beatty J. Becker Tjus P. Behrens J. Beise C. Bellenghi S. Benkel S. BenZvi D. Berley E. Bernardini D. Z. Besson E. Blaufuss L. Bloom S. Blot 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 K. Carloni J. Carpio N. Chau Y. C. Chen Z. Chen D. Chirkin S. Choi A. Chubarov B. A. Clark 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 D. Fox A. Franckowiak S. Fukami P. F\"urst J. Gallagher E. Ganster A. Garcia M. Garcia E. Genton L. Gerhardt A. Ghadimi C. Glaser T. Gl\"usenkamp J. G. Gonzalez S. Goswami A. Granados D. Grant S. J. Gray S. Griffin K. M. Groth D. Guevel C. G\"unther P. Gutjahr C. Ha A. Hallgren L. Halve F. Halzen L. Hamacher 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 A. Hollnagel 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. Jin N. Kamp D. Kang W. Kang A. Kappes L. Kardum T. Karg A. Karle A. Katil M. Kauer J. L. Kelley M. Khanal A. Khatee Zathul A. Kheirandish T. Kim H. Kimku F. Kirchner J. Kiryluk C. Klein S. R. Klein Y. Kobayashi S. Koch 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 T. Krishnan K. Kruiswijk E. Krupczak A. Kumar E. Kun N. Kurahashi 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 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 K. Meagher A. Medina M. Meier Y. Merckx L. Merten J. Mitchell L. Molchany S. Mondal T. Montaruli R. W. Moore Y. Morii A. Mosbrugger D. Mousadi E. Moyaux T. Mukherjee M. Nakos U. Naumann 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 B. Owens 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 S. Pick M. Plum A. Pont\'en V. Poojyam 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 C. D. Rho W. Rhode L. Ricca B. Riedel A. Rifaie E. J. Roberts S. Rodan 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 M. Schaufel H. Schieler S. Schindler L. Schlickmann B. Schl\"uter F. Schl\"uter N. Schmeisser T. Schmidt A. Scholz F. G. Schr\"oder 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 D. Soldin P. Soldin G. Sommani D. Song 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 J. A. Torres S. Toscano D. Tosi 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 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 C. Zilleruelo Ca\~nas
Authors on Pith no claims yet

Pith reviewed 2026-05-08 03:53 UTC · model grok-4.3

classification ✦ hep-ex astro-ph.HE
keywords dark matterIceCube Upgradeneutrino fluxesannihilationsolar dark matterGalactic Centersensitivity projectionslow-mass dark matter
0
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The pith

The IceCube Upgrade is projected to set leading limits on low-mass dark matter annihilation for particles between 3 and 500 GeV.

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

This paper calculates how the IceCube Upgrade will improve detection of neutrinos produced when dark matter particles annihilate inside the Sun or at the Galactic Center. The focus is on dark matter masses from 3 GeV to 500 GeV, where the Upgrade's better performance for 1-500 GeV neutrinos should yield tighter constraints than existing experiments. The projections show that just three years of data could deliver the strongest limits for some models in this range. If accurate, these results would narrow the possible properties of dark matter by ruling out or confirming certain annihilation rates.

Core claim

The IceCube Upgrade will markedly improve sensitivity to neutrino fluxes from dark matter annihilation in the Sun and Galactic Center for masses between 3 GeV and 500 GeV, enabling stringent limits and leading sensitivities to some dark matter models with only three years of data taking.

What carries the argument

Sensitivity projections derived from modeled neutrino detection efficiency and background rejection in the 1-500 GeV range for the IceCube Upgrade.

If this is right

  • Stringent new limits on dark matter annihilation cross sections in the low-mass regime.
  • Leading constraints on certain dark matter models after only three years.
  • Complementary bounds from solar core and Galactic Center sources.
  • Improved ability to test low-mass dark matter scenarios that are currently weakly constrained.

Where Pith is reading between the lines

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

  • If the projections hold, analysis pipelines for real data could prioritize these low-energy neutrino channels earlier than planned.
  • The approach of using simulated performance to forecast limits could be applied to other neutrino telescopes for quick sensitivity estimates.
  • Significant deviations in actual performance might point to unmodeled backgrounds or calibration issues that affect all low-energy searches.

Load-bearing premise

The projections assume that the IceCube Upgrade's actual detector performance, including efficiency and background rejection for 1-500 GeV neutrinos, will match the modeled expectations.

What would settle it

Real data from the IceCube Upgrade showing substantially higher background rates or lower signal efficiency than the simulations used for these projections.

read the original abstract

The IceCube Upgrade, an extension designed to enhance the IceCube Neutrino Observatory's detection of neutrinos with energies between 1 GeV and 500 GeV, will markedly improve IceCube's sensitivity to low-mass dark matter scenarios. In this study, we present sensitivity projections for the IceCube Upgrade to neutrino fluxes arising from dark matter annihilation. In particular, we consider dark matter with masses between 3 GeV to 500 GeV from both the core of the Sun and the Galactic Center. These projections indicate that the IceCube Upgrade will enable stringent limits on dark matter in this parameter space, achieving leading sensitivities to some dark matter models with only three years of data taking.

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

1 major / 1 minor

Summary. The paper presents sensitivity projections for the IceCube Upgrade to neutrino fluxes from dark matter annihilation in the Sun and Galactic Center for dark matter masses between 3 and 500 GeV. It concludes that three years of Upgrade data will enable stringent limits and leading sensitivities to some low-mass dark matter models.

Significance. If the Monte Carlo models of detector response prove accurate, the projections would usefully benchmark the Upgrade's reach in the low-energy neutrino regime and help prioritize dark matter analyses, providing a concrete comparison point against current limits from Super-Kamiokande and ANTARES.

major comments (1)
  1. [Simulation and detector modeling sections (referenced in abstract but without explicit equations or tables)] The central projections rest on Monte Carlo-derived effective areas, angular/energy resolutions, and background rejection for 1-500 GeV neutrinos, yet no section describes the ice scattering/absorption parameters, DOM quantum efficiency, or validation of these quantities against existing IceCube data. Any mismatch would rescale both signal acceptance and atmospheric neutrino backgrounds, directly altering the projected exclusion curves relative to current experiments.
minor comments (1)
  1. [Abstract] The abstract could explicitly state the annihilation channels (e.g., b b-bar, tau+ tau-) and the statistical framework (e.g., profile likelihood or Feldman-Cousins) used to derive the sensitivity curves.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful and constructive review of our manuscript. The major comment raises a valid point about transparency in our detector modeling, which we will address through revision.

read point-by-point responses
  1. Referee: [Simulation and detector modeling sections (referenced in abstract but without explicit equations or tables)] The central projections rest on Monte Carlo-derived effective areas, angular/energy resolutions, and background rejection for 1-500 GeV neutrinos, yet no section describes the ice scattering/absorption parameters, DOM quantum efficiency, or validation of these quantities against existing IceCube data. Any mismatch would rescale both signal acceptance and atmospheric neutrino backgrounds, directly altering the projected exclusion curves relative to current experiments.

    Authors: We agree that the manuscript would be strengthened by additional explicit details on the Monte Carlo simulation framework. In the revised version, we will add a dedicated subsection describing the ice scattering and absorption parameters, DOM quantum efficiency, and the derivation of effective areas, angular/energy resolutions, and background rejection for the 1-500 GeV range. We will also reference prior IceCube Upgrade and low-energy validation studies that compare these models to existing data. This will allow readers to better evaluate the robustness of the projections and any potential impact from parameter uncertainties on the sensitivity curves relative to Super-Kamiokande and ANTARES. revision: yes

Circularity Check

0 steps flagged

No significant circularity; projections are simulation-driven and self-contained

full rationale

The paper computes sensitivity projections for future IceCube Upgrade data using Monte Carlo modeling of detector response, effective areas, resolutions, and background rejection for 1-500 GeV neutrinos from solar and Galactic Center dark matter annihilation. No step reduces a claimed result to a fit performed on the same dataset, nor does any central claim rest on a self-citation chain whose validity is presupposed by the present work. The derivation chain begins from external inputs (DM annihilation spectra, atmospheric neutrino fluxes, ice optical properties) and produces projected exclusion curves; these outputs are not equivalent to the inputs by construction. Minor self-citations to prior IceCube performance studies are present but non-load-bearing, as the projections remain falsifiable once real Upgrade data arrive.

Axiom & Free-Parameter Ledger

2 free parameters · 2 axioms · 0 invented entities

Only the abstract is available, so the full ledger of assumptions cannot be extracted. Typical elements for such sensitivity studies include detector response models and background estimates that are not detailed here.

free parameters (2)
  • detector efficiency and acceptance parameters
    Assumed from upgrade design simulations; specific values and fitting procedures not visible in abstract.
  • background rate normalizations
    Standard in neutrino analyses; details of how they are set or constrained not provided.
axioms (2)
  • standard math Standard models of neutrino propagation and oscillation from Sun and Galactic Center
    Implicit in any neutrino flux prediction from distant sources.
  • domain assumption Dark matter annihilation produces neutrinos via standard channels
    Core assumption for signal modeling in the 3-500 GeV range.

pith-pipeline@v0.9.0 · 7676 in / 1317 out tokens · 57650 ms · 2026-05-08T03:53:43.271302+00:00 · methodology

discussion (0)

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