Ignacio Sevilla-Noarbe

Orcid: 0000-0002-1831-1953

According to our database1, Ignacio Sevilla-Noarbe authored at least 14 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2020
A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest.
CoRR, 2020

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs.
Astron. Comput., 2020

2019
The PAU Survey: Operation and orchestration of multi-band survey data.
Astron. Comput., 2019

2018
Voronoi Tessellation for reducing the processing time of correlation functions.
Comput. Phys. Commun., 2018

DES science portal: Creating science-ready catalogs.
Astron. Comput., 2018

DES science portal: Computing photometric redshifts.
Astron. Comput., 2018

2017
An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function using Bin-Recycling Strategy on GPU.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Crowdsourcing quality control for Dark Energy Survey images.
Astron. Comput., 2016

Bin Recycling Strategy for an Accuracy-Aware Implementation of Two-Point Angular Correlation Function on GPU.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015
Effect of training characteristics on object classification: An application using Boosted Decision Trees.
Astron. Comput., 2015

2014
GPU-based shear-shear correlation calculation.
Comput. Phys. Commun., 2014

Performance and precision of histogram calculation on GPUs: Cosmological analysis as a case study.
Comput. Phys. Commun., 2014

High-performance implementations for shear-shear correlation calculation.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
Concurrent CPU-GPU Code Optimization: The Two-Point Angular Correlation Function as Case Study.
Proceedings of the Advances in Artificial Intelligence, 2013


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