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Workshop Laboratorio Spettroscopia INAF

10–11 Jun 2019
Europe/Rome timezone

Session

Artificial Intelligence and New technologies

11 Jun 2019, 11:40

Conveners

Artificial Intelligence and New technologies

  • Stefano Zibetti

Description

An exploration of new data analysis techniques

Presentation materials

There are no materials yet.

  1. 37. Astroinformatics and Astrophysics, a virtuous synergy in the Big Data era
    Massimo Brescia
    11/06/2019, 11:40
  2. 38. Data processing for high-resolution spectroscopy: today and tomorrow
    Guido Cupani
    11/06/2019, 12:10

    INAF has a long tradition in the treatment of spectroscopical data. The Astronomical Observatory of Trieste (OATs), in particular, has always been at the forefront of the field, both validating the state-of-the-art software (e.g. the VLT UVES and X-shooter pipelines) and implementing new solutions
    for the analysis of near-UV to near-IR medium-to-high resolution quasar spectra.
    In this talk, I...

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  3. 39. SyNaLoTA, a web infrastructure for astrophysical data analysis and exploration
    Giuseppe Riccio
    11/06/2019, 12:30

    On top of modern large astrophysical data repositories, a fast, flexible, portable and efficient system for data analysis and exploration is required. We present SyNaLoTA (Systems from Naples for Long Term Analysis), a web based infrastructure, specialized in monitoring, analysis and visualization
    of scientific data. Initially designed and under development for the ESA Euclid Mission...

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  4. 40. Is this lab properly aimed? Optimizing data quality and analysis by focusing on the design, calibration and maintenance of the spectrometers.
    Ernesto Oliva
    11/06/2019, 12:50

    The analysis of data is too often considered as a task that must inevitably accept and correct the problems related to the instrumentation.
    Many FTEs are therefore dedicated to developing tools and tricks to mitigate these problems; and when these FTEs are not available the data are poorly used or not used at all.
    In most cases, the instrumental problems can be solved using far less efforts...

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