◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Albert Villanova del Moral

19 papers hereh-index 174.8k citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • middle author6
  • last author10

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • hep-ph14
  • cs.CL4
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20032023
most citedPhenomenological Tests of Supersymmetric A_4 Family Symmetry Model of Neutrino Mass

136 citations · 633 across the 18 of their papers we have counts for

collaborators
Showing 2009Show all

3 papers · 1 filter

hep-ph2009★ 57 cited

Minimal Supersymmetric Inverse Seesaw: Neutrino masses, lepton flavour violation and LHC phenomenology

M. Hirsch, T. Kernreiter, J. C. Romao +1

We study neutrino masses in the framework of the supersymmetric inverse seesaw model. Different from the non-supersymmetric version a minimal realization with just one pair of sing…

hep-ph2009★ 40 cited

Flavour violation at the LHC: type-I versus type-II seesaw in minimal supergravity

J. N. Esteves, M. Hirsch, W. Porod +3

We reconsider the role that the possible detection of lepton flavour violating (LFV) decays of supersymmetric particles at the Large Hadron Collider (LHC) can play in helping recon…

hep-ph2009

Lepton flavour violating stau decays versus seesaw parameters: correlations and expected number of events for both seesaw type-I and II

A. Villanova del Moral

In minimal supergravity (mSugra), the neutrino sector is related to the slepton sector by means of the renormalization group equations. This opens a door to indirectly test the neu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.