[Paper Review] TITUS: the Tokai Intermediate Tank for the Unoscillated Spectrum
TITUS proposes a 2-ton Gd-doped water Cherenkov detector near Hyper-Kamiokande to enhance CP violation sensitivity and probe dark matter via vector-portal models. It leverages off-axis geometry to capture high-energy dark matter beams, with projected sensitivities of ~10⁻⁴⁰ cm² for 300 MeV WIMPs and 5×10⁻³⁹ cm² for 100 MeV WIMPs from indirect production.
The TITUS, Tokai Intermediate Tank for Unoscillated Spectrum, detector, is a proposed Gd-doped Water Cherenkov tank with a magnetised muon range detector downstream. It is located at J-PARC at about 2 km from the neutrino target and it is proposed as a potential near detector for the Hyper-Kamiokande experiment. Assuming a beam power of 1.3 MW and 27.05 x 10^{21} protons-on-target the sensitivity to CP and mixing parameters achieved by Hyper-Kamiokande with TITUS as a near detector is presented. Also, the potential of the detector for cross sections and Standard Model parameter determination, supernova neutrino and dark matter are shown.
Motivation & Objective
- Improve CP violation sensitivity in Hyper-Kamiokande by deploying a near detector with enhanced precision.
- Address the challenge of systematic uncertainties in oscillation measurements by utilizing a dedicated near detector with high granularity.
- Explore non-oscillation physics, including dark matter detection via vector-portal models.
- Enable high-sensitivity measurements of WIMP-nucleon scattering cross sections for low-mass dark matter.
- Leverage off-axis geometry and timing resolution to distinguish dark matter signals from neutrino backgrounds.
Proposed method
- Utilize a 2-ton Gd-doped water Cherenkov detector (TITUS) located ~2 km from the beam target to detect neutrinos and dark matter.
- Apply off-axis alignment to maximize flux of dark matter particles produced via direct and indirect processes involving vector mediators.
- Model dark matter production through two channels: direct $pp(n)\rightarrow V^{*}\rightarrow\bar{\chi}\chi$ and indirect $pp(n)\rightarrow\phi+...\rightarrow V+...\rightarrow\bar{\chi}\chi$.
- Exploit kinematic features such as high-energy cutoffs and cusp structures near kinematic limits to distinguish dark matter from neutrino backgrounds.
- Use LAPPDs to enhance time resolution and distinguish dark matter timing signatures from neutrino beam pulses.
- Apply the VaLOR fitting method to assess CP violation sensitivity under realistic systematic uncertainties.
Experimental results
Research questions
- RQ1Can TITUS achieve 5σ sensitivity to CP violation across a significant fraction of δcp parameter space?
- RQ2How does off-axis geometry enhance the detection of dark matter beams from vector-portal models?
- RQ3What is the projected sensitivity of TITUS to WIMP-nucleon scattering cross sections for low-mass WIMPs?
- RQ4Can kinematic features such as cusp structures at high momentum transfer distinguish dark matter from neutrino backgrounds?
- RQ5To what extent can timing resolution from LAPPDs improve signal identification in dark matter detection?
Key findings
- TITUS can achieve 5σ sensitivity to CP violation for 62% of the δcp parameter space using a 1.3 MW beam and 1:3 ν-mode to ḡν-mode ratio.
- The detector can provide a 3σ measurement of CP violation for 79% of δcp space, approaching the 84% achievable without systematic uncertainties.
- For dark matter detection, TITUS achieves a projected sensitivity of ~10⁻⁴⁰ cm² for 300 MeV WIMPs via direct production.
- For 100 MeV WIMPs, the sensitivity reaches 5×10⁻³⁹ cm² via indirect production, assuming mediator mass between 1 GeV and 400 GeV.
- Kinematic cusp features near the beam energy limit provide a distinctive signature for dark matter, especially in off-axis configurations.
- The use of LAPPDs enhances time resolution, enabling discrimination of dark matter production timing from neutrino beam pulses.
Better researchstarts right now
From reading papers to final review, dramatically reduce your research time.
No credit card · Free plan available
This review was created by AI and reviewed by human editors.