Indirizzo mail istituzionale:
nicola.giacobbo.1(at)studenti.unipd.it

Postazione:
Postazione dottorandi - third floor Physics and Astronomy Department “Galileo Galilei”

Interessi:
Stellar evolution; Population synthesis codes and stellar populations; Compact objects (neutron stars and black holes); N-body simulations.

Progetto di ricerca:
In my thesis, I will study the demography of double-compact object binaries by developing new population-synthesis tools and by coupling them with direct N-body simulations. My aim is to break current degeneracies between the two possible evolutionary channels of compact object binaries: primordial and dynamically formed binaries.
Titolo tesi: Demography of compact object binaries in the epoch of multi-messenger asrtronomy.

Supervisor:
Dr. Michela Mapelli
Co-supervisor:
Dr. Mario Spera

Short CV:
 
Education
October 2016 – Present: PhD student in Astronomy – Department of Physics and Astronomy (University of Padova).

October 2014 – September 2016: Master's Degree in Astronomy - Department of Physics and Astronomy (University of Padova) mark 110/110 cum laude.
Thesis title: A new population-synthesis code for the study of the demography of the black hole binaries.
Supervisor: Prof. Paola Marigo, co-supervisors: Dr. Michela Mapelli, Dr. Mario Spera.

March 2013 – June 2013
Erasmus Placement at Leibniz Institute for Astrophysics Potsdam (AIP) under the supervision of Prof. Dr. K. G. Strassmeier and Dr. Federico Spada.

September 2011 – March 2012
LLP/Erasmus study period at Ruprecht Karl University of Heidelberg (Germany).

October 2009 – March 2014: Bachelor Degree in Astronomy - Department of Physics and Astronomy (University of Padova).
Thesis title: Bayesian analysis of stellar clusters using a Monte Carlo Markov Chain algorithm.
Supervisor: Prof. Paola Marigo.

Additional information
Proceedings: M. Spera, N. Giacobbo, and M. Mapelli, "Shedding light on the black hole mass spectrum", accepted for publication in "Memorie della SAIt" (proceeding of the MODEST 16 conference, April 18–22 2016, Bologna)

IT experience
Operating Systems: Linux/Unix, Windows
Programming System: C++, fortran, MATLAB, python
Science-related softwares/packages: ROOT, IRAF
Population synthesis codes: BSE,SEVN