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Jordi Portell

Researcher at University of Barcelona

Publications -  90
Citations -  16357

Jordi Portell is an academic researcher from University of Barcelona. The author has contributed to research in topics: Astrometry & Data compression. The author has an hindex of 25, co-authored 74 publications receiving 12193 citations. Previous affiliations of Jordi Portell include Polytechnic University of Catalonia & Rutherford Appleton Laboratory.

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Journal ArticleDOI

Gaia Data Release 3. The extragalactic content

Gaia Collaboration C.A.L. Bailer-Jones, +445 more
TL;DR: In this paper , the authors identify quasar and galaxy candidates via supervised machine learning methods and estimate their redshifts using the low-resolution BP/RP spectra, and further characterise the surface brightness profiles of host galaxies of quasars and of galaxies from pre-defined input lists.
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Gaia Data Release 3: A golden sample of astrophysical parameters

Gaia Collaboration O.L. Creevey, +446 more
TL;DR: The Gaia Data Release 3 (DR3) dataset provides a wealth of new data products for the astronomical community to exploit, including astrophysical parameters for a half billion stars as mentioned in this paper .
Proceedings ArticleDOI

Hardware implementation of the FAPEC lossless data compressor for space

TL;DR: A prototype FPGA implementation which has been developed targeting the antifuse radiation-hardened RTAX Actel family is described, assessing that FAPEC can be easily implemented in hardware without requiring an external memory.
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Gaia Data Release 3: Reflectance spectra of Solar System small bodies

Gaia Collaboration, +446 more
TL;DR: The Gaia data release three (DR3) includes, for the first time, the mean reflectance spectra of a selected sample of 60 518 SSOs, primarily asteroids, observed between August 5, 2014, and May 28, 2017 as mentioned in this paper .
Journal ArticleDOI

Gaia Data Release 3. Pulsations in main-sequence OBAF-type stars

Gaia Collaboration J. De Ridder, +446 more
TL;DR: The third Gaia data release as mentioned in this paper provides photometric time series covering 34 months for about 10 million stars and a characterisation in Fourier space and their variability classification are also provided.