MadDM: New Dark Matter Tool in the LHC era

Antony Martini; Gopolang Mohlabeng; Kyoungchul Kong; Mihailo Backovic; Olivier Mattelaer

RECORD

MadDM: New Dark Matter Tool in the LHC era

Mihailo Backovic, Antony Martini, Kyoungchul Kong, Olivier Mattelaer, Gopolang Mohlabeng

High Energy Physics - Phenomenology · Submitted 11 Sep 2015

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We present the updated version of MadDM, a new dark matter tool based on MadGraph5_aMC@NLO framework.

how it is stated · asserted 1.00 read the record →

Comment (0) Read on arXiv ↗

Cite ▾

arXiv ID1509.03683 (version 1)

Pith ID3P7YW5EY, Pith's permanent record of this paper and its review

CitationAntony Martini, Gopolang Mohlabeng, Kyoungchul Kong, Mihailo Backovic, Olivier Mattelaer. "MadDM: New Dark Matter Tool in the LHC era." arXiv:1509.03683 (2015). https://pith.science/paper/3P7YW5EY

Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,844 input tokens.

What the abstract itself states, as probabilities: claims first 0.11 · states limitation 0.10 · human participants 0.02 · controlled comparison 0.07 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.84 · mentions code or data availability 0.09.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; show every role.

We present the updated version of MadDM, a new dark matter tool based on MadGraph5_aMC@NLO framework. New version includes direct detection capability in addition to relic abundance computation. In this article, we provide short description of the implementation of relevant effective operators and validations against existing results in literature.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	We present the updated version of MadDM, a new dark matter tool based on MadGraph5_aMC@NLO framework.	contribution 0.99	0.82	0.24	asserted 1.00
s1	New version includes direct detection capability in addition to relic abundance computation.	contribution 0.99	0.78	0.20	asserted 1.00
s2	In this article, we provide short description of the implementation of relevant effective operators and validations against existing results in literature.	contribution 0.56	0.78	0.10	asserted 0.91

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 0.77.

What was examined, and what was not

sources read

arXiv listing abstract v1

not examined

full text
figures and tables
references and citing sentences
relations to other papers

levels run

P abstract

not run

S sections
T body sentences
C citations
R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper

Original abstract

We present the updated version of MadDM, a new dark matter tool based on MadGraph5_aMC@NLO framework. New version includes direct detection capability in addition to relic abundance computation. In this article, we provide short description of the implementation of relevant effective operators and validations against existing results in literature.

Human review

How Pith checks papers → · Full audit of this paper →

References

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Search for resonant and nonresonant new phenomena in high-mass dilepton final states at $\sqrt{s} = $ 13 TeV
hep-ex 2021-03 accept novelty 5.0 of 10

CMS finds no significant high-mass dilepton excess in 137-140 fb^-1 of 13 TeV data and sets TeV-scale exclusion limits on Z', graviton, dark-matter mediator, contact-interaction, and large-extra-dimension models.
Constraints on mediator-based dark matter and scalar dark energy models using $\sqrt s = 13$ TeV $pp$ collision data collected by the ATLAS detector
hep-ex 2019-03 accept novelty 5.0 of 10

No excess appears in any reinterpreted ATLAS search, so mediator masses up to roughly 2 to 3.5 TeV and dark energy suppression scales up to 1.2 TeV are excluded at 95% confidence.
Recommendations of the LHC Dark Matter Working Group: Comparing LHC searches for heavy mediators of dark matter production in visible and invisible decay channels
hep-ex 2017-03 conditional novelty 4.0 of 10

The LHC Dark Matter Working Group recommends four benchmark coupling scenarios and an extended simplified model with lepton couplings so that visible-decay and missing-energy dark matter searches can be compared on a ...
Search for high-mass resonances in dilepton final states in proton-proton collisions at $\sqrt{s}=$ 13 TeV
hep-ex 2018-03 accept novelty 3.0 of 10

No high-mass dielectron or dimuon resonance appears in 36 fb^-1 of 13 TeV CMS data, giving 95% CL lower mass limits of 4.50 TeV for Z'_SSM and 3.90 TeV for Z'_psi.

How the literature uses it

8 arXiv papers cite this in 8 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 3 sentences without a confident label

Uses its method or tool 5 papers

We compute the relic density numerically using MadDM [ref] , which require the pair annihilation cross-sections to be calculated by the event generator MadEvent [ref] .

Spin-$0^\pm$ portal induced Dark Matter · DM pair-Annihilation and Relic Density · 1.00
We first implement the model in (v.2.3.29) [ref] and calculate the relevant quantities using (v.2.6.0) [ref] with the (v.2.0) plugin [ref] .

Dark matter in the Georgi-Machacek model with an additional inert doublet · Parameter selection · 1.00
Dashed curves labelled “thermal relic” correspond to combinations of DM and mediator mass values that are consistent with a DM density of $Ωh^2= 0.12$ and a standard thermal history, as computed in MadDM [ref] .

Constraints on simplified dark matter models involving an $s$-channel mediator with the ATLAS detector in $pp$ collisions at $\sqrt{s} = 13$ TeV · Models constraints in the versus plane · 0.89

What it cites · 5 sentences without a confident label

Uses the method or tool of 3 papers

For direct detection, MadDM follows the procedure described in Ref. [ref] .

Dark matter direct detection rate in a generic model with micrOMEGAs2.2 · MadDM and Validation · 1.00
A Python module prepares relevant amplitudes for relic abundance and direct detection (with ALOHA [ref] ), while a FORTRAN module deals with the numerical calculations.

ALOHA: Automatic Libraries Of Helicity Amplitudes for Feynman diagram computations · MadDM and Validation · 1.00
MadDM is compatible with any UFO (Universal FeynRules Output [ref] ) model that contains a dark matter candidate and can be easily linked to any width or mass spectrum generator which can produce a parameter card in Les Houches format.

UFO - The Universal FeynRules Output · MadDM and Validation · 0.88

Uses data or values from 1 paper

We assumed the efficiency function of nuclear recoils displayed in the black curve of Fig. 1 in Ref. [ref] .

First results from the LUX dark matter experiment at the Sanford Underground Research Facility · MadDM and Validation · 0.90

Compares with 4 papers

For MUED, Fig. [ref] shows excellent agreement between MadDM cross sections and results in literature [ref] .

Kaluza-Klein Dark Matter: Direct Detection vis-a-vis LHC · MadDM and Validation · 1.00
For MUED, Fig. [ref] shows excellent agreement between MadDM cross sections and results in literature [ref] .

Kaluza-Klein Dark Matter · MadDM and Validation · 1.00
For MUED, Fig. [ref] shows excellent agreement between MadDM cross sections and results in literature [ref] .

Elastic Scattering and Direct Detection of Kaluza-Klein Dark Matter · MadDM and Validation · 1.00

Discussion

Know something about this paper? Leave a comment, or highlight any passage above to comment on it.