First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
ASTRONOMY
Course unit
LABORATORY OF ASTROPHYSICS 2
SC04120546, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
ASTRONOMY
SC1173, Degree course structure A.Y. 2010/11, A.Y. 2018/19
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Degree course track ASTRONOMIA [001PD]
Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination LABORATORY OF ASTROPHYSICS 2
Website of the academic structure http://astronomia.scienze.unipd.it/2018/laurea_magistrale
Department of reference Department of Physics and Astronomy
E-Learning website https://elearning.unipd.it/dfa/course/view.php?idnumber=2018-SC1173-001PD-2017-SC04120546-N0
Mandatory attendance
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge GIAMPAOLO PIOTTO FIS/05
Other lecturers VALERIO NASCIMBENI
VALERIO NASCIMBENI

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses FIS/05 Astronomy and Astrophysics 6.0

Course unit organization
Period First semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Laboratory 2.0 32 18.0 No turn
Lecture 4.0 32 68.0 No turn

Calendar
Start of activities 01/10/2018
End of activities 18/01/2019
Show course schedule 2019/20 Reg.2010 course timetable

Examination board
Board From To Members of the board
6 Commissione Laboratorio di Astrofisica 2 2017-2018 01/10/2018 30/11/2019 PIOTTO GIAMPAOLO (Presidente)
NASCIMBENI VALERIO (Membro Effettivo)
CARRARO GIOVANNI (Supplente)
NARDIELLO DOMENICO (Supplente)

Syllabus
Prerequisites: Basic courses of astronomy and astrophysics. Basic knowledge of stellar evolution. Knowledge of color-magnitude diagrams and their interpretation. Basic knowledge of stellar photometry.
Target skills and knowledge: Basic computer programming skills. Capability to prepare and excute observations at the telescope for imaging with the purpose of obtaining high precision photometry and calibrate it to a standard photometric system. Ability to reduce and analyze astronomical images for high precision photometric and astrometric measurements. Ability to analyze a photometric light curve and to identify variability phenomena (including planetary transits) and their periodicity. Ability to use high photometric precision measurement software, software of light curve analysis, and software for astronomic data analysis in general
Examination methods: Written reports of the laboratory experiences and oral exam.
Assessment criteria: 1) Evaluation criteria of the reports of laboratory experiences: Completeness of the laboratory experience written reports. Rigor of the metodology used for data reduction and analysis. Scientific rigor in the discussion of the results, and capability to properly insert them into the scientific context.
2) Evaluation criteria of the oral exam: Ability to prepare the observations at the telescope. Level of knowledge of the data reduction and analysis techniques for high precision photometry and astrometry. Level of knowledge of the scientific relevance of the laboratory experiences and rigourness in scientific langange in exposing them.
Course unit contents: A. Lectures in classroom.
1) Main issues related to CCD imaging acquisition for stellar photometry and astrometry.
2) Methods to extract high precision photometry and astrometry from ground-based and space digital images.
3) Color-magnitude diagrams and main observational parameters from color-magnitude diagrams. Measure of age and Helium content of a globular cluster.
4) Exoplanet search methods. Exoplanet transits. Main exoplanet characterization methodologies and results. Photometric light curve analysis techniques for the search of variable phenomena (including exoplanet transits). High resolution spectroscopy for radial velocity measurements for confirmation and characterization of exoplanet candidates.
B. Observations at the Asiago Observatory.
Preparation and execution of transit exoplanet observations at the Copernicus telescope in Asiago. Collected data will be analyzed at the computer laboratory in Padova.
C. Activity in computer laboratory:
1) Archival data reduction of an exoplanet transit. Light curve analysis. Measurement of orbital and physical parameters (transit time, orbit inclination, planet radius, orbit semi-axix/planet radii ratio).
2) Reduction of gound-based European Southern Observatory archival data for high precision photometry and astrometry of globular cluster stars. Photometric calibration. Proper motion measurement (using previous epoch archival data). Cluster membership estimate. Measurement of cluster age and other parameters from the color-magnitude diagram and the proper motion diagram.
3) Extra activity: Reduction of space-based Hubble Space Telescope archival data for high precision photometry and astrometry of globular cluster stars. Photometric calibration. Proper motion measurement (using previous epoch archival data). Cluster membership estimate. Measurement of cluster age and other parameters from the color-magnitude diagram and the proper motion diagram.
Planned learning activities and teaching methods: Lectures in the classroom. Observational experience at the Asiago Observatory. Experiences in the computer laboratory. All the activities are in Italian.
Additional notes about suggested reading: All material (mainly scientific papers) will be provided by the professor and made available through the Moodle website of the course on the e-learning platform of the Department of Physics and Astronomy "G. Galilei" (https://elearning.unipd.it/dfa/).
Textbooks (and optional supplementary readings)

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Working in group
  • Observations with a professional telescope

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Latex
  • Supermongo, DAOPHOT, IRAF and other software developed by the teacher and his collaborators