Attendance

Attendance isn't mandatory, but it's always highly recommended

Programme

Section I: Active Galactic Nuclei (AGN)
- Definition and classification: BH paradigm, accretion, AGN Radio Loud / Radio quiet, Unified Model
- AGN Astrophysics: X-ray Properties of AGN-RQ, Emission Models: Comptonization, Absorption & Outflow Properties
- AGN astrophysics: X-ray reflection, relativistic effects observed in X-ray band

Section II: Introduction to X-ray detectors and telescopes
- X-ray detectors
- Solid State Detectors, Charged Coupled Devices (CCD)
- collimated and focused optical systems
- X-ray Telescopes: efficiency, sensitivity, energy resolution, angular resolution, effective area
- Space Telescopes: ESA / XMM-Newton, NASA / Chandra and NASA / NuStar

Section III Data analysis
- Analysis tools: study of the spectral energy distribution (emission spectrum), study of temporal behavior (light curve)
- Statistical/systematics errors
- background
- S/N: signal to noise ratio
- Observation Planning and Maximization of the Signal-to-Noise Ratio.

Section IV: XMM-epic and NuStar data analysis tutorial
- Searching on data archives
- Imaging Analysis techniques: DS9
- Spectral analysis techniques: xspec
- Temporal analysis techniques: xronos
- Computer laboratory sessions on the analysis of X-ray data from astrophysical sources: emission models, spectral fitting, statistical tests, parameter estimation, and determination of confidence intervals.

Section V: Optical and near IR band data analysis
Telescopes and instrumentation: field of view, plate scale, spatial and spectral resolution, and wavelength coverage.

CCD detectors and observational techniques: detector characteristics, quantum efficiency, bias and flat-field corrections, spectral extraction (standard and optimal methods), wavelength and flux calibration, signal-to-noise ratio estimation, exposure time calculations, and measurement of the overall throughput of the observational system.

AGN spectroscopy and data analysis: redshift determination, supermassive black hole mass estimation, preparation and optimization of observing blocks, and the use of astronomical data reduction and analysis software packages.

Core Documentation

Course slides and lecture notes provided by the lecturer.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Type of evaluation

Oral examination consisting of the presentation of an astrophysical high-energy data analysis project, followed by a discussion and questions on the project methodology and scientific results Assessment of competence in optical/infrared observational data analysis through the independent analysis of data acquired with 4-8 m class facilities.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Programme

Section I: Active Galactic Nuclei (AGN)
- Definition and classification: BH paradigm, accretion, AGN Radio Loud / Radio quiet, Unified Model
- AGN Astrophysics: X-ray Properties of AGN-RQ, Emission Models: Comptonization, Absorption & Outflow Properties
- AGN astrophysics: X-ray reflection, relativistic effects observed in X-ray band

Section II: Introduction to X-ray detectors and telescopes
- X-ray detectors
- Solid State Detectors, Charged Coupled Devices (CCD)
- collimated and focused optical systems
- X-ray Telescopes: efficiency, sensitivity, energy resolution, angular resolution, effective area
- Space Telescopes: ESA / XMM-Newton, NASA / Chandra and NASA / NuStar

Section III Data analysis
- Analysis tools: study of the spectral energy distribution (emission spectrum), study of temporal behavior (light curve)
- Statistical/systematics errors
- background
- S/N: signal to noise ratio
- Observation Planning and Maximization of the Signal-to-Noise Ratio.

Section IV: XMM-epic and NuStar data analysis tutorial
- Searching on data archives
- Imaging Analysis techniques: DS9
- Spectral analysis techniques: xspec
- Temporal analysis techniques: xronos
- Computer laboratory sessions on the analysis of X-ray data from astrophysical sources: emission models, spectral fitting, statistical tests, parameter estimation, and determination of confidence intervals.

Section V: Optical and near IR band data analysis
Telescopes and instrumentation: field of view, plate scale, spatial and spectral resolution, and wavelength coverage.

CCD detectors and observational techniques: detector characteristics, quantum efficiency, bias and flat-field corrections, spectral extraction (standard and optimal methods), wavelength and flux calibration, signal-to-noise ratio estimation, exposure time calculations, and measurement of the overall throughput of the observational system.

AGN spectroscopy and data analysis: redshift determination, supermassive black hole mass estimation, preparation and optimization of observing blocks, and the use of astronomical data reduction and analysis software packages.

Core Documentation

Course slides and lecture notes provided by the lecturer.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Type of evaluation

Oral examination consisting of the presentation of an astrophysical high-energy data analysis project, followed by a discussion and questions on the project methodology and scientific results Assessment of competence in optical/infrared observational data analysis through the independent analysis of data acquired with 4-8 m class facilities.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Programme

Section I: Active Galactic Nuclei (AGN)
- Definition and classification: BH paradigm, accretion, AGN Radio Loud / Radio quiet, Unified Model
- AGN Astrophysics: X-ray Properties of AGN-RQ, Emission Models: Comptonization, Absorption & Outflow Properties
- AGN astrophysics: X-ray reflection, relativistic effects observed in X-ray band

Section II: Introduction to X-ray detectors and telescopes
- X-ray detectors
- Solid State Detectors, Charged Coupled Devices (CCD)
- collimated and focused optical systems
- X-ray Telescopes: efficiency, sensitivity, energy resolution, angular resolution, effective area
- Space Telescopes: ESA / XMM-Newton, NASA / Chandra and NASA / NuStar

Section III Data analysis
- Analysis tools: study of the spectral energy distribution (emission spectrum), study of temporal behavior (light curve)
- Statistical/systematics errors
- background
- S/N: signal to noise ratio
- Observation Planning and Maximization of the Signal-to-Noise Ratio.

Section IV: XMM-epic and NuStar data analysis tutorial
- Searching on data archives
- Imaging Analysis techniques: DS9
- Spectral analysis techniques: xspec
- Temporal analysis techniques: xronos
- Computer laboratory sessions on the analysis of X-ray data from astrophysical sources: emission models, spectral fitting, statistical tests, parameter estimation, and determination of confidence intervals.

Section V: Optical and near IR band data analysis
Telescopes and instrumentation: field of view, plate scale, spatial and spectral resolution, and wavelength coverage.

CCD detectors and observational techniques: detector characteristics, quantum efficiency, bias and flat-field corrections, spectral extraction (standard and optimal methods), wavelength and flux calibration, signal-to-noise ratio estimation, exposure time calculations, and measurement of the overall throughput of the observational system.

AGN spectroscopy and data analysis: redshift determination, supermassive black hole mass estimation, preparation and optimization of observing blocks, and the use of astronomical data reduction and analysis software packages.

Core Documentation

Course slides and lecture notes provided by the lecturer.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Type of evaluation

Oral examination consisting of the presentation of an astrophysical high-energy data analysis project, followed by a discussion and questions on the project methodology and scientific results Assessment of competence in optical/infrared observational data analysis through the independent analysis of data acquired with 4-8 m class facilities.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Programme

Section I: Active Galactic Nuclei (AGN)
- Definition and classification: BH paradigm, accretion, AGN Radio Loud / Radio quiet, Unified Model
- AGN Astrophysics: X-ray Properties of AGN-RQ, Emission Models: Comptonization, Absorption & Outflow Properties
- AGN astrophysics: X-ray reflection, relativistic effects observed in X-ray band

Section II: Introduction to X-ray detectors and telescopes
- X-ray detectors
- Solid State Detectors, Charged Coupled Devices (CCD)
- collimated and focused optical systems
- X-ray Telescopes: efficiency, sensitivity, energy resolution, angular resolution, effective area
- Space Telescopes: ESA / XMM-Newton, NASA / Chandra and NASA / NuStar

Section III Data analysis
- Analysis tools: study of the spectral energy distribution (emission spectrum), study of temporal behavior (light curve)
- Statistical/systematics errors
- background
- S/N: signal to noise ratio
- Observation Planning and Maximization of the Signal-to-Noise Ratio.

Section IV: XMM-epic and NuStar data analysis tutorial
- Searching on data archives
- Imaging Analysis techniques: DS9
- Spectral analysis techniques: xspec
- Temporal analysis techniques: xronos
- Computer laboratory sessions on the analysis of X-ray data from astrophysical sources: emission models, spectral fitting, statistical tests, parameter estimation, and determination of confidence intervals.

Section V: Optical and near IR band data analysis
Telescopes and instrumentation: field of view, plate scale, spatial and spectral resolution, and wavelength coverage.

CCD detectors and observational techniques: detector characteristics, quantum efficiency, bias and flat-field corrections, spectral extraction (standard and optimal methods), wavelength and flux calibration, signal-to-noise ratio estimation, exposure time calculations, and measurement of the overall throughput of the observational system.

AGN spectroscopy and data analysis: redshift determination, supermassive black hole mass estimation, preparation and optimization of observing blocks, and the use of astronomical data reduction and analysis software packages.

Core Documentation

Course slides and lecture notes provided by the lecturer.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Type of evaluation

Oral examination consisting of the presentation of an astrophysical high-energy data analysis project, followed by a discussion and questions on the project methodology and scientific results Assessment of competence in optical/infrared observational data analysis through the independent analysis of data acquired with 4-8 m class facilities.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Programme

Section I: Active Galactic Nuclei (AGN)
- Definition and classification: BH paradigm, accretion, AGN Radio Loud / Radio quiet, Unified Model
- AGN Astrophysics: X-ray Properties of AGN-RQ, Emission Models: Comptonization, Absorption & Outflow Properties
- AGN astrophysics: X-ray reflection, relativistic effects observed in X-ray band

Section II: Introduction to X-ray detectors and telescopes
- X-ray detectors
- Solid State Detectors, Charged Coupled Devices (CCD)
- collimated and focused optical systems
- X-ray Telescopes: efficiency, sensitivity, energy resolution, angular resolution, effective area
- Space Telescopes: ESA / XMM-Newton, NASA / Chandra and NASA / NuStar

Section III Data analysis
- Analysis tools: study of the spectral energy distribution (emission spectrum), study of temporal behavior (light curve)
- Statistical/systematics errors
- background
- S/N: signal to noise ratio
- Observation Planning and Maximization of the Signal-to-Noise Ratio.

Section IV: XMM-epic and NuStar data analysis tutorial
- Searching on data archives
- Imaging Analysis techniques: DS9
- Spectral analysis techniques: xspec
- Temporal analysis techniques: xronos
- Computer laboratory sessions on the analysis of X-ray data from astrophysical sources: emission models, spectral fitting, statistical tests, parameter estimation, and determination of confidence intervals.

Section V: Optical and near IR band data analysis
Telescopes and instrumentation: field of view, plate scale, spatial and spectral resolution, and wavelength coverage.

CCD detectors and observational techniques: detector characteristics, quantum efficiency, bias and flat-field corrections, spectral extraction (standard and optimal methods), wavelength and flux calibration, signal-to-noise ratio estimation, exposure time calculations, and measurement of the overall throughput of the observational system.

AGN spectroscopy and data analysis: redshift determination, supermassive black hole mass estimation, preparation and optimization of observing blocks, and the use of astronomical data reduction and analysis software packages.

Core Documentation

Course slides and lecture notes provided by the lecturer.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Type of evaluation

Oral examination consisting of the presentation of an astrophysical high-energy data analysis project, followed by a discussion and questions on the project methodology and scientific results Assessment of competence in optical/infrared observational data analysis through the independent analysis of data acquired with 4-8 m class facilities.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Programme

Section I: Active Galactic Nuclei (AGN)
- Definition and classification: BH paradigm, accretion, AGN Radio Loud / Radio quiet, Unified Model
- AGN Astrophysics: X-ray Properties of AGN-RQ, Emission Models: Comptonization, Absorption & Outflow Properties
- AGN astrophysics: X-ray reflection, relativistic effects observed in X-ray band

Section II: Introduction to X-ray detectors and telescopes
- X-ray detectors
- Solid State Detectors, Charged Coupled Devices (CCD)
- collimated and focused optical systems
- X-ray Telescopes: efficiency, sensitivity, energy resolution, angular resolution, effective area
- Space Telescopes: ESA / XMM-Newton, NASA / Chandra and NASA / NuStar

Section III Data analysis
- Analysis tools: study of the spectral energy distribution (emission spectrum), study of temporal behavior (light curve)
- Statistical/systematics errors
- background
- S/N: signal to noise ratio
- Observation Planning and Maximization of the Signal-to-Noise Ratio.

Section IV: XMM-epic and NuStar data analysis tutorial
- Searching on data archives
- Imaging Analysis techniques: DS9
- Spectral analysis techniques: xspec
- Temporal analysis techniques: xronos
- Computer laboratory sessions on the analysis of X-ray data from astrophysical sources: emission models, spectral fitting, statistical tests, parameter estimation, and determination of confidence intervals.

Section V: Optical and near IR band data analysis
Telescopes and instrumentation: field of view, plate scale, spatial and spectral resolution, and wavelength coverage.

CCD detectors and observational techniques: detector characteristics, quantum efficiency, bias and flat-field corrections, spectral extraction (standard and optimal methods), wavelength and flux calibration, signal-to-noise ratio estimation, exposure time calculations, and measurement of the overall throughput of the observational system.

AGN spectroscopy and data analysis: redshift determination, supermassive black hole mass estimation, preparation and optimization of observing blocks, and the use of astronomical data reduction and analysis software packages.

Core Documentation

Course slides and lecture notes provided by the lecturer.

Attendance

Attendance isn't mandatory, but it's always highly recommended

Type of evaluation

Oral examination consisting of the presentation of an astrophysical high-energy data analysis project, followed by a discussion and questions on the project methodology and scientific results Assessment of competence in optical/infrared observational data analysis through the independent analysis of data acquired with 4-8 m class facilities.