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USCVIII - General Assembly

14–18 Oct 2024
Galzignano Resort Terme & Golf
UTC timezone

Session

Session 8

16 Oct 2024, 14:30
Galzignano Resort Terme & Golf

Galzignano Resort Terme & Golf

Viale delle Terme, 84 Galzignano Terme (PD)

Conveners

Session 8: Data Reduction Software

  • Deborah Busonero

Description

Data reduction software

Presentation materials

There are no materials yet.

  1. 27. SOIM (Simulator for Operation of Imaging Missions)
    Emanuele Simioni (Istituto Nazionale di Astrofisica (INAF))
    16/10/2024, 14:30
    Data Reduction, Analysis and Visualization

    Abstract
    The experience accumulated by INAF in international space missions has demonstrated the significant impact and scientific value of imaging tools. These instruments have necessitated the development of software tools across all mission phases to simulate data acquisition, verify and optimize observation strategies, and define essential operational parameters. The Simulator for...

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  2. 26. Pre-supernova outbursts in Red Supergiants: data challenges of an optical/NIR observational campaign
    Fabrizio Bocchino (Istituto Nazionale di Astrofisica (INAF))
    16/10/2024, 14:45
    Data Reduction, Analysis and Visualization

    The studies of pre-supernova outbursts have received lot of attention because of their high diagnostic power for the nature of the supernova progenitor and the implications on the structure of the circum-stellar medium (CSM) in the immediate surrounding of the exploding SNe. To study the low-luminosity bursts of RSGs, we assembled a literature-based catalog of a coeval and co-distant sample of...

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  3. 73. Unlocking the potential of Time Series across different fields of application
    Ylenia Maruccia (Istituto Nazionale di Astrofisica (INAF))
    16/10/2024, 15:00
    Data Reduction, Analysis and Visualization

    Time series analysis is a powerful tool used to extract insights from data collected over time, and its applications span across a wide range of fields of application. By analysing trends, patterns, and seasonal variations, time series models allow for accurate forecasting and anomaly detection. Beyond forecasting, classifying time series data allows us to group similar patterns and behaviors,...

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  4. 74. INAF Resources
    Fabio Vitello, Cristina Knapic, Giuliano Taffoni
    16/10/2024, 15:15
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