cornering the revamped bmv model with neutrino oscillation data

cornering the revamped bmv model with neutrino oscillation data

;Sabya Sachi Chatterjee;Mehedi Masud;Pedro Pasquini;J.W.F. Valle
ACS chemical biology 2017 Vol. 774 pp. 179-182
113
chatterjee2017physicscornering

Abstract

Using the latest global determination of neutrino oscillation parameters from [1] we examine the status of the simplest revamped version of the BMV (Babu–Ma–Valle) model, proposed in [2]. The model predicts a striking correlation between the “poorly determined” atmospheric angle θ23 and CP phase δCP, leading to either maximal CP violation or none, depending on the preferred θ23 octants. We determine the allowed BMV parameter regions and compare with the general three-neutrino oscillation scenario. We show that in the BMV model the higher octant is possible only at 99% C. L., a stronger rejection than found in the general case. By performing quantitative simulations of forthcoming DUNE and T2HK experiments, using only the four “well-measured” oscillation parameters and the indication for normal mass ordering, we also map out the potential of these experiments to corner the model. The resulting global sensitivities are given in a robust form, that holds irrespective of the true values of the oscillation parameters.

Keywords

Citation

ID: 232264
Ref Key: chatterjee2017physicscornering
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
232264
Unique Identifier:
10.1016/j.physletb.2017.09.052
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet