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researcher

L. Garrido

4 papers hereh-index 6600 citations23 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • hep-ph3
  • physics.data-an1
same name
  • L. Garrido — 507 papers, h 0
  • L. Garrido — 252 papers
  • L. Garrido — 51 papers, h 10
  • L. Garrido — 36 papers, h 110
  • L. Garrido — 20 papers, h 16
  • L. Garrido — 3 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19962019
most citedPhysics potential of the International Axion Observatory (IAXO)

242 citations · 449 across the 4 of their papers we have counts for

collaborators

4 papers

hep-ph2019★ 242 cited

Physics potential of the International Axion Observatory (IAXO)

E. Armengaud, D. Attie, S. Basso +88

We review the physics potential of a next generation search for solar axions: the International Axion Observatory (IAXO). Endowed with a sensitivity to discover axion-like particle…

hep-ph2002★ 194 cited

Neural Network Parametrization of Deep-Inelastic Structure Functions

Stefano Forte, Lluis Garrido, Jose I. Latorre +1

We construct a parametrization of deep-inelastic structure functions which retains information on experimental errors and correlations, and which does not introduce any theoretical…

physics.data-an1998★ 13 cited

On the determination of probability density functions by using Neural Networks

Lluis Garrido, Aurelio Juste

It is well known that the output of a Neural Network trained to disentangle between two classes has a probabilistic interpretation in terms of the a-posteriori Bayesian probability…

hep-ph1996

Neural network analysis for gamma gamma -> 3pi at Daphne

Ll. Ametller, Ll. Garrido, P. Talavera

We consider the possibility of using neural networks in experimental data analysis in Daphne. We analyze the process γγ→π+π−π0 and its backgrounds using neural networks a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.