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Solarnet Training for Observers
A week above the Clouds Free Conference is closed
Conference is closed
aboveclouds2019
Affiliation Leibniz-Institut für Sonnenphysik
Izana, Tenerife, Spain
05.08.2019 - 09.08.2019

Organizing institutions

Leibniz-Institut für Sonnenphysik, Freiburg, Germany

Institudo de Astrofíscica de Canarias, LaLaguna, Tenerife, Spain

Main category Natural Sciences (Astrophysics and Astrononmy)
Conference/Workshop objectives

Our purpose is to instruct students and young postdocs in the capabilities and operation of the German solar facilities at the observatory, by giving them the opportunity to run real observations at GREGOR, the largest solar telescope in Europe calibrate data by learning how to use the existing data pipelines, Python and deep learning techniques learn how to complement ground-based observations with space-based observations experience the observers’ life up the mountain for a week through different lectures and experimental activities (programme in SOLARNET webpage available soon).

 

The Solarnet project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 824135.

Local organizing committee
Scientific organizing committee (SOC)

Nazaret Bello Gonzalez (KIS)

Sessions
  • Lectures
  • Students Presentations
  • Observations
Programme
Invited speakers

Andrés Asensio Ramos (IAC)
Catherine Fischer (KIS)
Christoph Kuckein (AIP)
Andrew Leonard (Aperio Software Ltd.)
Rolf Schlichenmaier (KIS)
Wolfgang Schmidt (KIS)
Nikola Vitas (IAC)
Bernard Gelly (CNRS, THEMIS)

Important dates

Registration Deadline: June 15, 2019

Registration and payment information

Due to restrictions in accommodation, the number of participants is limited to 12.
To register, please send an email to nbello@leibniz-kis.de with a brief statement of interest indicating your field of research and why you want to participate in the school until June 15, 2019.

(Financial) Support: Accommodation at the OT (Residencia) will provided by the School. Travel costs will be partially supported upon request.

Conference venue

The school will take place at the Observatorio del Teide for one week.

Hotel information

Accommodation at the OT (Residencia) will provided by the School.

Travel information
There are no uploaded videos yet.
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Christoph Kuckein

Session: Lectures

248 views
Date of upload:
14.08.2019
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Abstract:
As compared to space-borne observatories, ground-based observations have often a more complex procedure to make the data science ready. This includes basic data reduction steps, calibration and image restoration. In this 90-minute lecture, we focus on the basic data reduction and calibration of ground-based imaging and spectroscopic imaging instruments. The basic data reduction is accomplished by running a data reduction pipeline. Examples and hands-on training will be carried out using the imaging instruments, namely HiFI and GFPI, attached to the 1.5-meter GREGOR solar telescope. The data reduction pipeline "sTools" will be shown as an example and the students will obtain the necessary tools to run it on their own computers.
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Christoph Kuckein

Session: Lectures

238 views
Date of upload:
16.08.2019
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Abstract:
In this lecture we will work with spectropolarimetric data acquired with the GREGOR Infrared Spectrograph (GRIS) attached to the 1.5-meter GREGOR telescope. The instrument is shortly introduced and hands-on training on the reduced data is provided. The goal is to familiarize with spectropolarimetric data acquired with spectrographs and learn the basic calibration steps using IDL routines. The topics which are covered are: (1) explanation of the format of the reduced GRIS files; (2) how to read the GRIS data; (3) familiarize with the different dimensions of the data cube, including how to represent the data in different wavelengths; (4) determination of the spectral dispersion and wavelength array; (5) normalization of the data; and (6) instrumental profile removal. With the acquired knowledge and tools the students will be able to calibrate their own data and produce science-ready data.
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Tirtha Som

Session: Lectures

201 views
Date of upload:
05.03.2020
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Abstract:
Author - Catherine Fischer, KIS The lecture is divided into two parts. In the first part I present the possibilities and ways to obtain data from ground-based telescope data archives. Then we focus on how to write a good observing proposal - from convincing the Time Allocation Committee of the science case to determining an adequate instrumental set up. We thereby discuss the trade-off between high-spatial, high-spectral and high-cadence observations for various instruments. Part 1 concludes with writing together the outline of an observing proposal for the GREGOR telescope. The proposal will be submitted in the 2020 observing season and students are encouraged to join the process from writing the proposal to calibration and analysis of the obtained data, as well as publishing interesting results. In part two we focus in aligning data obtained from satellites to ground-based data.
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Tirtha Som

Session: Lectures

215 views
Date of upload:
05.03.2020
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Abstract:
Author - Prof. Dr. Wolfgang Schmidt
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Tirtha Som

Session: Lectures

230 views
Date of upload:
05.03.2020
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Abstract:
by Dr. Rolf Schlichenmaier Leibniz-Institut für Sonnenphysik, Freiburg, Germany
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Tirtha Som

Session: Lectures

211 views
Date of upload:
05.03.2020
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Abstract:
Author - Prof. Dr. Wolfgang Schmidt
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Tirtha Som

Session: Lectures

61 views
Date of upload:
08.12.2020
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Abstract:
Profile analysis: Retrieval of physical parameters
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Tirtha Som

Session: Lectures

66 views
Date of upload:
08.12.2020
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Abstract:
Solarnet Optical exercises summary_Schmidt.pdf
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Tirtha Som

Session: Lectures

63 views
Date of upload:
08.12.2020
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Abstract:
A Leonard Python lecture & exercises
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Tirtha Som

Session: Lectures

72 views
Date of upload:
08.12.2020
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Abstract:
3. VTT Tour
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Tirtha Som

Session: Lectures

74 views
Date of upload:
08.12.2020
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Abstract:
Christoph_observations-summerschool_Experiment session
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Rolf Schlichenmaier

Session: Lectures

63 views
Date of upload:
08.12.2020
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Abstract:
What can we learn from studying Stokes profiles without doing inversions?
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Tirtha Som

Session: Students Presentations

57 views
Date of upload:
11.12.2020
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Abstract:
Andrei Gorobets_Student Presentation
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Tirtha Som

Session: Students Presentations

56 views
Date of upload:
11.12.2020
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Abstract:
Antonio J. Dorantes Monteagudo_Student Presentation
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Tirtha Som

Session: Students Presentations

56 views
Date of upload:
11.12.2020
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Abstract:
Daniele_calchetti_student_Presentation
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Tirtha Som

Session: Students Presentations

57 views
Date of upload:
11.12.2020
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Abstract:
Galina_Chikunova_Student Presenation
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Tirtha Som

Session: Students Presentations

55 views
Date of upload:
11.12.2020
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Abstract:
Hemanth Pruthvi_Student Presentation
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Tirtha Som

Session: Students Presentations

63 views
Date of upload:
11.12.2020
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Abstract:
Jose Iván Campos Rozo_Student Presentation
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Tirtha Som

Session: Lectures

55 views
Date of upload:
11.12.2020
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Abstract:
Mariarita Murabito_Student Presentation
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Tirtha Som

Session: Students Presentations

53 views
Date of upload:
11.12.2020
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Abstract:
Marta García Rivas_Student Presentation
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Tirtha Som

Session: Students Presentations

57 views
Date of upload:
11.12.2020
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Abstract:
Martin Benko_Student Presentation
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Tirtha Som

Session: Students Presentations

54 views
Date of upload:
11.12.2020
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Abstract:
Matheus Aguiar-Kriginsky Silva_Student Presentation
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Tirtha Som

Session: Students Presentations

55 views
Date of upload:
11.12.2020
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Abstract:
Mohammed_Talafha_Student Presentation
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Tirtha Som

Session: Students Presentations

55 views
Date of upload:
11.12.2020
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Abstract:
Peter Zelina_Student Presentation
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Tirtha Som

Session: Students Presentations

56 views
Date of upload:
11.12.2020
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Abstract:
Philip Lindner_Student Presentation
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Tirtha Som

Session: Students Presentations

52 views
Date of upload:
11.12.2020
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Abstract:
Robert Jarolim_Student Presentation
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Tirtha Som

Session: Students Presentations

55 views
Date of upload:
11.12.2020
Co-author:
Abstract:
Theodosios Chatzistergos_Student Presentation
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