toggle visibility Search & Display Options

Select All    Deselect All
 | 
Citations
 | 
   print
Chen, P., Ding, G. J., Srivastava, R., & Valle, J. W. F. (2019). Predicting neutrino oscillations with “bi-large” lepton mixing matrices. Phys. Lett. B, 792, 461–464.
toggle visibility
Ding, G. J., Nath, N., Srivastava, R., & Valle, J. W. F. (2019). Status and prospects of 'bi-large' leptonic mixing. Phys. Lett. B, 796, 162–167.
toggle visibility
Kang, S. K., Popov, O., Srivastava, R., Valle, J. W. F., & Vaquera-Araujo, C. A. (2019). Scotogenic dark matter stability from gauged matter parity. Phys. Lett. B, 798, 135013–10pp.
toggle visibility
Leite, J., Popov, O., Srivastava, R., & Valle, J. W. F. (2020). A theory for scotogenic dark matter stabilised by residual gauge symmetry. Phys. Lett. B, 802, 135254–10pp.
toggle visibility
Addazi, A., Marciano, A., Morais, A. P., Pasechnik, R., Srivastava, R., & Valle, J. W. F. (2020). Gravitational footprints of massive neutrinos and lepton number breaking. Phys. Lett. B, 807, 135577–8pp.
toggle visibility
Mandal, S., Srivastava, R., & Valle, J. W. F. (2021). The simplest scoto-seesaw model: WIMP dark matter phenomenology and Higgs vacuum stability. Phys. Lett. B, 819, 136458–14pp.
toggle visibility
Mandal, S., Rojas, N., Srivastava, R., & Valle, J. W. F. (2021). Dark matter as the origin of neutrino mass in the inverse seesaw mechanism. Phys. Lett. B, 821, 136609–15pp.
toggle visibility
Batra, A., Bharadwaj, P., Mandal, S., Srivastava, R., & Valle, J. W. F. (2022). W-mass anomaly in the simplest linear seesaw mechanism. Phys. Lett. B, 834, 137408–12pp.
toggle visibility
Bonilla, C., Nebot, M., Valle, J. W. F., & Srivastava, R. (2016). Flavor physics scenario for the 750 GeV diphoton anomaly. Phys. Rev. D, 93(7), 073009–5pp.
toggle visibility
Abbas, G., Zahiri-Abyaneh, M., & Srivastava, R. (2017). Precise predictions for Dirac neutrino mixing. Phys. Rev. D, 95(7), 075005–7pp.
toggle visibility
Select All    Deselect All
 | 
Citations
 | 
   print

ific federMinisterio de Ciencia e InnovaciĆ³nAgencia Estatal de Investigaciongva