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The miniJPAS survey: star-galaxy classification using machine learning

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Created: Thursday, 18 February 2021 10:44

Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work, we analyze the miniJPAS survey, which observed about 1 deg2 of the AEGIS field with 56 narrow-band filters and 4 ugri broad-band filters. We discuss the classification of miniJPAS sources into extended (galaxies) and point-like (e.g. stars) objects, a necessary step for the subsequent scientific analyses.

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Firmata la collaborazione con ESO per l’aggiornamento del sistema di controllo dello strumento FORS

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Created: Tuesday, 02 February 2021 14:24

Il giorno 1 febbraio 2021, è stato firmato l’agreement tra il Direttore Generale dell’European Southern Observatory (ESO) Xavier Barcons e il Direttore dell’INAF Osservatorio Astronomico di Trieste Fabrizio Fiore per l’aggiornamento del sistema di controllo dello strumento ESO-VLT FORS.

FORS (FOcal Reducer and low dispersion Spectrograph) è un spettrografo/imager che opera nel visibile (tra 330 e 1100 nm) ed è uno dei primi strumenti ad essere stato realizzato ed installato presso il sito ESO dei Very Large Telescopes.

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Un asteroide dedicato a Liliana Segre. L'iniziativa proposta dall'INAF di Trieste

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Created: Wednesday, 27 January 2021 11:28

Si chiamerà 75190 Segreliliana l’asteroide conosciuto anche con la sigla 1999 VD169, scoperto alla fine degli anni Novanta nella Fascia principale degli asteroidi, situata tra le orbite di Marte e Giove.

Lo ha ufficializzato ’Unione astronomica Internazionale (IAU), intitolando il corpo minore del Sistema solare a Liliana Segre, sopravvissuta alla Shoah italiana e alla deportazione al campo di sterminio di Auschwitz-Birkenau. L'iniziativa è stata proposta dall'INAF di Trieste.

Leggi l'articolo completo su mediaINAF.

 

 

An excess of small-scale gravitational lenses observed in galaxy clusters

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Created: Thursday, 10 September 2020 19:47

Nowadays, a number of observational evidence consistently support the Standard Model of Cosmology: about 70% of the content of the Universe is provided by an elusive form of Dark Energy, about 25% by Dark Matter whose nature is still unknown and only 5% by “normal” atoms. Despite the nature of these dark components is unknown at present, this cosmological model allows us to make detailed predictions on the physical properties of the cosmic structures that we observe. The most sophisticated tools to work out such predictions are represented by numerical simulations which make optimal use of high-performance computing infrastructures.

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More Articles ...

  1. ESOF 2020, si parte!
  2. ESOF2020 - Virtual Tour of the Universe
  3. La sorprendente storia di formazione stellare della galassia XMM-2599
  4. A new Era in Gamma-Ray Astronomy: discovery of very high energy radiation from explosions connected to newly born stellar-mass black holes
  5. Euclid passa l'esame finale: ora è pronto per essere assemblato

 

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