Tatiana Pavlidou

Current Work

Protostar identification: As a postdoc at the University of Vienna, in my current research I am exploring a method of identifying very young sources, based on their photometric properties from Herschel and Spitzer data currently focusing on the region of Perseus. From my results arises a potential link between a subset of Class 0 sources and hot corinos whose spectra are characterised by an abundance of complex organic molecular lines.

---

Research Experience

Stellar populations

In October 2021, I completed my PhD at the University of St. Andrews in Scotland under the supervision of Dr. Aleks Scholz. In my PhD thesis, entitled “Star Formation in the Perseus Complex: A tale of seven clusters” I explore the structure of the star-forming region of Perseus. Apart from the two well studied clusters, IC 348 and NGC 1333 the complex is associated with five additional clusters previously not reported in literature. I report the discovery of these five additional clusters and explore their ages and their kinematic properties in my MNRAS paper published in 2021. To understand the star formation events that took place in this complex, in my thesis work I combined data from Gaia DR2, 2MASS, WISE, Spitzer and Planck.

Machine Learning

Between March 2020 and August 2020, I completed a placement as a Research Associate at the European Southern Observatory (ESO) in Garching, Germany, collaborating with Dr. Nima Sedaghat, Dr. Martino Romaniello and Dr. Felix Stoher. My work was part of the ESCAPE project and included improving and training a neural network (NN) to classify spectra of galaxies in the archive data of HARPS and UVES instruments. I used bash commands, jupyter notebooks and the NN output to collaboratively create a user-friendly search engine for galaxy spectra.

---

Selected Recent Conference Talks

---

Publictions

Substructure in the Perseus Molecular Cloud using Gaia DR2
T.Pavlidou, A. Scholz, P.S. Teixeira
published in MNRAS, submitted in arXiv doi:10.1093/mnras/stab352