Carrasco, V. M. S.; Nogales, J. M.; Vaquero, J. M.; Chatzistergos, T.; Ermolli, I.: A note on the sunspot and prominence records made by Angelo Secchi during the period 1871–1875. Journal of Space Weather and Space Climate 11, 51 (2021)
Chatzistergos, T.; Ermolli, I.; Krivova, N. A.; Solanki, S. K.; Banerjee, D.; Barata, T.; Belik, M.; Gafeira, R.; Garcia, A.; Hanaoka, Y.et al.; Hegde, M.; Klimeš, J.; Korokhin, V. V.; Lourenço, A.; Malherbe, J.-M.; Marchenko, G. P.; Peixinho, N.; Sakurai, T.; Tlatov, A. G.: Analysis of full-disc Ca II K spectroheliograms III. Plage area composite series covering 1892–2019. Astronomy and Astrophysics 639, A88 (2020)
Chatzistergos, T.; Ermolli, I.; Falco, M.; Giorgi, F.; Guglielmino, S. L.; Krivova, N. A.; Romano, P.; Solanki, S. K.: Historical solar Ca II K observations at the Rome and Catania observatories. Nuovo Cimento della Societa Italiana di Fisica C-Geophysics and Space Physics 42 (1), 5 (2019)
Chatzistergos, T.; Ermolli, I.; Krivova, N. A.; Solanki, S. K.: Analysis of full disc Ca II K spectroheliograms: II. Towards an accurate assessment of long-term variations in plage areas. Astronomy and Astrophysics 625, A69 (2019)
Chatzistergos, T.; Ermolli, I.; Solanki, S. K.; Krivova, N. A.; Banerjee, D.; Jha, B. K.; Chatterjee, S.: Delving into the Historical Ca ii K Archive from the Kodaikanal Observatory: The Potential of the Most Recent Digitized Series. Solar Physics 294 (10), 145 (2019)
Chatzistergos, T.; Ermolli, I.; Solanki, S. K.; Krivova, N. A.: Analysis of full disc Ca II K spectroheliograms: I. Photometric calibration and centre-to-limb variation compensation. Astronomy and Astrophysics 609, A92 (2018)
Chatzistergos, T.; Usoskin, I. G.; Kovaltsov, G. A.; Krivova, N. A.; Solanki, S. K.: New reconstruction of the sunspot group numbers since 1739 using the direct calibration and “backbone” methods. Astronomy and Astrophysics 602, A69 (2017)
Usoskin, I. G.; Kovaltsov, G. A.; Chatzistergos, T.: Dependence of the sunspot-group size on the level of solar activity and its influence on the calibration of solar observers. Solar Physics 291, pp. 3793 - 3805 (2016)
Chatzistergos, T.; Ermolli, I.; Solanki, S. K.; Krivova, N. A.: The potential of historical spectroheliograms for Sun-climate studies. 9th IAGA - ICMA/IAMAS - ROSMIC/VarSITI/SCOSTEP workshop on long-term changes and trends in the atmosphere, Kühlungsborn, Germany (2016)
The Sun’s planets and small objects have undergone substantial evolution. Deciphering the history of our cosmic home is not a simple task even though we now have access to a multitude of data gathered by space missions, remote observations, and laboratory studies of diverse samples. A significant fraction of materials available for the study of planetary bodies come from meteorites.
The Planetary Plasma Environments group (PPE) has a strong heritage in the exploration of planetary magnetospheres and space plasma interactions throughout the solar system. It has contributed instruments to several past missions that flew-by or orbited Jupiter (Galileo, Cassini, Ulysses). The PPE participates in the JUICE mission by contributing hardware and scientific expertise to the Particle Environment Package (PEP).
The Solar Lower Atmosphere and Magnetism (SLAM) group covers many exciting subjects in solar physics, focussing on the development and testing of highly novel solar instrumentation, reduction and analysis of highest quality solar observations, or improving and developing advanced techniques for the analysis of solar observations.
The MPS is one of the leading institutes worldwide in building instruments for solar research, both for ground based observatories as well as for balloon and space-borne missions. Scientists and engineers of MPS conceive new observing methods and develop novel instruments of highest technological complexity. These instruments are built in house, tested, calibrated, and used at the best solar observatories in the world, or delivered to NASA and ESA to be launched to space.
Inversion codes are used to aid the detailed interpretation of solar spectro-polarimetric data. This computer code attempts to find the atmospheric structure that produced an observed spectrum by minimizing the difference between the observed spectrum and a Stokes spectrum.