During my PhD I have developed software programs and theoretical methods for gravitational-wave data analysis.
I have attended the following PhD Programmes in the Academic year 2017/2018:
1. “Cosmologia del primo universo”, Università di Pisa, with final mark Ottimo (95%);
2. “Effective field theories”, Scuola Normale Superiore, with final mark Ottimo (95%);
3. “Academic English”, Università di Pisa, final mark not applicable;
and I have given the following seminars:
1. End-of-the-year seminar “Stochastic processes from physics to finance: a hierarchical-model approach to the financial market” (28 Jun 2018);
2. PhD pre-thesis seminar "Compact binary coalescences under the microscope:
data analysis tools for the present and for the future" (23 Sep 2019).
I have conducted research on lensing of gravitational waves as Research Assistant at the Chinese University of Hong Kong, under the supervision of Prof. Tjonnie G. F. Li (13 Feb 2019 – 17 Apr 2019).
I have attended the following schools/workshops/conferences – contributions are highlighted in bold:
1. 2-5 Sep 2019 LVC Meeting, Warsaw;
2. 7-12 Jul 2019 (poster presentation) GR22/Amaldi13 Conference, Valencia;
3. 27-29 May 2019 Physics and Astrophysics at the Extreme (PAX) Workshop, EGO;
4. 18 May 2018 Gravitational Waves Workshop, EGO-Virgo;
5. 28 May 2018 – 01 Jun 2018 PhD School “Waves on the Lake: the astrophysics behind gravitational waves”, Lake Como School of Advanced Studies;
6. 17-21 Sep 2018 (talk) 104° Congresso Nazionale della Società italiana di Fisica, Arcavacata di Rende;
7. 17 Jan 2018 talk at INFN sezione di Genova.
I have published the following papers:
1. G. Pagano, O. A. Hannuksela, and T. G. F. Li. LensingGW: a Python Package for Lensing of Gravitational Waves. A&A, 643:A167, November 2020;
2. P. T. H. Pang et al. Lensed or not Lensed: Determining Lensing Magnifications
for Binary Neutron Star Mergers from a Single Detection. MNRAS, 495(4):3740–3750, May 2020;
3. J. M. Diego et al. Observational Signatures of Microlensing in Gravitational Waves at LIGO/Virgo Frequencies. A&A, 627:A130, July 2019;
4. S. Schmidt et al. Machine Learning Gravitational Waves from Binary Black Hole Mergers. ArXiv:2011.01958, November 2020.
Sincerely, Giulia Pagano