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# Date #
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02 June, 2025

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# Dataset Title #
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Dataset for singlet-doublet dark matter revisited

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# Dataset Creators #
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Name: Prudhvi N. Bhattiprolu
Email: prudhvi.bhattiprolu@fi.infn.it
Institution: INFN Florence; University of Michigan Department of Physics 
ORCID: https://orcid.org/0000-0003-1819-1733

Name: Evan Petrosky
Email: epetros@umich.edu
Institution: University of Michigan Department of Physics
ORCID: https://orcid.org/0000-0003-2427-4287

Name: Aaron Pierce
Email: atpierce@umich.edu
Institution: University of Michigan Department of Physics
ORCID: https://orcid.org/0000-0002-6238-7429

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# Dataset Contact #
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Prudhvi N. Bhattiprolu (prudhvi.bhattiprolu@fi.infn.it)

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# Funding #
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This work is supported in part by the Department of Energy under grant number
DE-SC0007859. This research is supported in part through computational resources
and services provided by Advanced Research Computing (ARC), a division of
Information and Technology Services (ITS) at the University of Michigan,
Ann Arbor.

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# Methodology #
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To generate this dataset, we utilized the following tools:

SARAH v4.15.2: Used to implement the singlet-doublet fermion model and generate
the model files for SPheno and micrOMEGAs. These files contain the interaction
vertices of the model.
Link: https://sarah.hepforge.org/

SPheno v4.0.5: Employed to numerically diagonalize the neutral Majorana mass
matrix and compute the tree-level particle spectrum and mixing angles.
Link: https://spheno.hepforge.org/

micrOMEGAs v6.0: Used to numerically solve the Boltzmann equations and calculate
the thermal relic abundance and direct detection cross sections.
Link: https://lapth.cnrs.fr/micromegas/

A wide parameter scan of the singlet-doublet fermion model was performed to
identify regions of parameter space that reproduce the correct dark matter relic
abundance.

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# Description #
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This dataset stems from research on the singlet-doublet model of dark matter, an
economical model of weakly interacting dark matter. We revisit it in light of
improved dark matter detection limits. We characterize the regions of parameter
space that have suppressed direct detection cross sections and discuss
predictions for the Large Hadron Collider.

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# Acronyms #
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DM: Dark Matter  
SI: Spin-independent  
SD: Spin-dependent  
GeV: Giga-electron Volts  
pb: Picobarn (unit of cross section)  
FO: Freeze-out

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# Dataset #
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This dataset contains parameter points in the singlet-doublet fermion dark
matter model that reproduce the correct thermal relic abundance of dark matter.
The columns in the dataset are:

# Model Input Parameters

Column 1 (MS): Singlet fermion mass in GeV
Column 2 (MD): Doublet fermion mass in GeV
Column 3 (y1): Yukawa coupling of Higgs–Singlet–Doublet (1, 2, –1/2) interaction
Column 4 (y2): Yukawa coupling of Higgs–Singlet–Doublet (1, 2, 1/2) interaction

# Physical Mass Spectrum

Column 5 (mN1): Mass of the lightest neutral Majorana state (DM) in GeV
Column 6 (mN2): Mass of the second neutral Majorana state in GeV
Column 7 (mN3): Mass of the heaviest neutral Majorana state in GeV
Column 8 (mC): Mass of the charged Dirac state in GeV

# Neutral Mixing Matrix Elements

Columns 9–11 (V11, V12, V13): First row of the neutral Majorana mixing matrix
Columns 12–14 (V21, V22, V23): Second row of the mixing matrix
Columns 15–17 (V31, V32, V33): Third row of the mixing matrix

# Direct Detection Cross Sections

Column 18 (sigmaSIp): Spin-independent DM–proton scattering cross section in pb
Column 19 (sigmaSIn): Spin-independent DM–neutron scattering cross section in pb
Column 20 (sigmaSDp): Spin-dependent DM–proton scattering cross section in pb
Column 21 (sigmaSDn): Spin-dependent DM–neutron scattering cross section in pb

# Relic Abundance

Column 22 (xFO): Freeze-out temperature, specifically, xFO = m/T at freeze-out
Column 23 (Omegah2): Dark matter relic abundance

# Chemical Equilibrium

Column 24 (GamH): Minimum reaction rate between sub-components of the dark
                  sector normalized to Hubble at freeze-out (Gamma/(H xFO))

# Freeze-out Processes

Column 25 (p1percent): Contribution (%) of the leading freeze-out process
Column 26 (p1): Leading freeze-out process
Column 27 (p2percent): Contribution (%) of the second leading freeze-out process
Column 28 (p2): Second leading freeze-out process
Column 29 (p3percent): Contribution (%) of the third leading freeze-out process
Column 30 (p3): Third leading freeze-out process

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# To Cite this work #
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# Dataset
Bhattiprolu, P. N., Petrosky, E., Pierce, A.
Dataset for singlet-doublet dark matter revisited [Data set],
University of Michigan - Deep Blue Data.
https://doi.org/10.7302/27j9-nw17

# Article
Bhattiprolu, P. N., Petrosky, E., Pierce, A.
Singlet-doublet dark matter revisited,
[arXiv:2505.11607 [hep-ph]]