Our Research
The fourth division (BP4) of The Fundamental Research Department (Departament Badań Podstawowych) deals with research in astrophysics and astronomy, mainly their observational aspects. The BP4 division is located in Warsaw at 7 Pasteura street.
The research conducted at the Astrophysics Laboratory includes:
- Cosmology: CMB, large structures of the Universe, dark matter, non-standard cosmology and gravitational lensing
- Gravitational waves: Multi-messenger astronomy, new tools for cosmology
- Physics of galaxies: Formation and evolution of galaxies, AGN, quasars and gamma-ray burst
- Interstellar medium: Star formation, neutron stars and white dwarfs
The BP4 division is also involved in several international projects. Check our Scientific Projects page for more information.
Seminars
Upcoming seminars for all of NCBJ can be found here.
The seminar archive for NCBJ can be found here.
Latest News
Scroll down for the latest news about the research done by our division or click here.
VISTULA Workshop
The workshop is organized as part of the project CLEVER: Cosmology & GaLaxy EVolution In The New ObsErving ProgRammes. Project founded by the Strategic Partnership project BPI/PST/2024/1/00019 by NAWA – Polish National Agency For Academic Exchange.
The rationale
Machine learning and modern statistical methods are becoming central tools in astrophysics and cosmology, from survey data reduction and photometric redshifts to time‑domain discovery, image classification and parameter inference. This workshop offers a structured introduction to statistical foundations and machine learning concepts.
The goal of this workshop is to provide a structured, beginner‑friendly entry point to machine learning and advanced statistics in astrophysics, while progressively reaching more advanced topics. The format will combine morning lectures with afternoon hands‑on sessions in which participants work through concrete astrophysical use cases under the guidance of the invited speakers and local tutors.
The workshop is aimed at Master’s students, early‑stage PhD students and junior researchers from NCBJ, the University of Warsaw, and the CLEVER partner institutions. It will explicitly welcome participants with limited prior exposure to machine learning, provided they are comfortable with basic programming (e.g. Python) and standard statistical concepts. By the end of the workshop, participants should be able to: understand the main families of machine learning methods used in current astrophysical research; critically assess when a machine‑learning approach is appropriate; implement and evaluate simple models on real data; and recognise common pitfalls such as overfitting, data leakage and biased training sets.
The invited speakers span a broad range of applications including galaxy formation and evolution, large‑scale surveys, time‑domain and transient astronomy, exoplanets and cosmology.
Hosted in Warsaw as part of the CLEVER-NAWA partnership , the workshop will strengthen training and collaboration across the network by bringing together students, junior researchers, and invited experts for a hands-on introduction to machine learning and advanced statistics in astrophysics.
Invited speakers:
- Ting-Yun Cheng (Kapteyn Astronomical Institute in Groningen)
- Antonio La Marca (Leiden Observatory, European Space Agency)
- Alex Razim (Centre for Astrophysics and Cosmology, Nova Gorica)
- Carlo Schimd (Laboratoire d’Astrophysique de Marseille)
- Will J. Pearson (National Centre for Nuclear Research)
For more info, or to register for the workshop, CLICK HERE
Conference Participation
BP4 participate in many national and intersectional conferences. We share our cutting edge research and enthusiasm with other astronomers across the world. Below are pictures from our trips across the globe over the last year or so.
Latest News
Top 2% ranking
Stanford University, together with the publishing house Elsevier and SciTech Strategies, has created a ranking of 2% of the best scientists in the world. It contains 159,648 names, including 726 from Polish scientific institutions.
Trzy nowe granty w konkursie OPUS
Trzech naukowców z Departamentu Badań Podstawowych NCBJ uzyskało granty w 19 edycji konkursu NCN OPUS. Zaakceptowane projekty dotyczą procesu formowania się gwiazd w zderzających się galaktykach, poszukiwania ciemnej materii poprzez analizę rozbłysków w atmosferze oraz badania struktury nukleonu w ramach współpracy COMPASS.
LIGO i Virgo udostępniają nowy katalog obserwacji fal grawitacyjnych
Kolaboracje LIGO i Virgo zaprezentowały dziś nowy katalog GWTC-2 obserwacji fal grawitacyjnych z okresu od kwietnia do października 2019 r. czyli pierwszej części kampanii obserwacyjnej O3 (O3a). Zbiór zawiera w sumie 39 zdarzeń. Jednocześnie opublikowano nowe prace badawcze, a także obszerne popularne podsumowania ich wyników.
Nobel 2020 za czarne dziury - prof. Marek Biesiada wyjaśnia
Tegoroczną nagrodą Nobla w dziedzinie fizyki podzielili się Sir Roger Penrose oraz Reinhard Genzel i Andrea Ghez. Prof. Marek Biesiada z Zakładu Astrofizyki NCBJ wyjaśnia za co ta nagroda: jak prace profesora Penrose'a przyczyniły się do zrozumienia sensu osobliwych rozwiązań OTW (ogólnej teorii względności) oraz co i jak zaobserwowały zespoły kierowane przez profesorów Gentzela i Ghez.
Teleskop Einsteina pozwoli poznać "ciemną stronę" Wszechświata
Naukowcy z wielu ośrodków, w tym także z NCBJ, zabiegają o budowę detektorów fal grawitacyjnych kolejnej generacji o dziesięciokrotnie większej czułości w porównaniu z już działającymi detektorami LIGO i VIRGO. Teleskop Einsteina miałby ponad trzykrotnie dłusze ramiona interferometru i - podobnie jak rozważany amerykański odpowiednik Cosmic Explorer - naszpikowany byłby najnowszą technologią.
The first consistent study of galaxy mergers in real and simulated universes
For the first time, merging pairs of galaxies have been found using an identical method in both simulations and observations of the real universe, using artificial intelligence. The co-author of the pioneering work is Dr. William Pearson from the Astrophysics Department of the Fundamental Research Department of NCBJ.
