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
The greatest cosmic movie ever made: Vera C. Rubin Observatory starts the Legacy Survey of Space and Time
A new era of astronomy and astrophysics begins, as the NSF-DOE Vera C. Rubin Observatory launches LSST, the most comprehensive cinematic record of the Universe. The initiative involves a Polish consortium composed of eight institutions, led by the National Centre for Nuclear Research.
Cosmic bow and arrow: a supersonic radio galaxy tracing a giant bow shock?
An international team co-led by Dr Pratik Dabhade of the National Centre for Nuclear Research (NCBJ) has discovered a remarkable bow-and-arrow-shaped radio galaxy with a giant arc-like structure extending nearly 1.8 million light-years.
Largest Ever Radio Sky Survey Maps the Universe in Unprecedented Detail
An international collaboration using the Low Frequency Array (LOFAR) has unveiled an exceptionally detailed radio sky map, revealing 13.7 million cosmic sources and delivering the most complete census yet of actively growing supermassive black holes. It showcases an extraordinary variety of systems powered by these black holes, whose radio emission can extend for millions of light-years. The newly released LOFAR Two-metre Sky Survey (LoTSS-DR3) marks a major milestone in radio astronomy and international scientific collaboration. The result is published in Astronomy & Astrophysics.
Silent Giants, Hidden Fuel: ALMA Reveals Surprising Diversity of Dust and Gas in Quiescent Galaxies
New ALMA observations reveal that diverse reservoirs of dust and molecular gas can persist long after galaxies stop forming stars, challenging theoretical expectations.
NCBJ joins the European astroparticle physics initiative EuCAPT
A group of researchers from the National Centre for Nuclear Research, in cooperation with scientists from institutes of the Polish Academy of Sciences, has joined the European scientific initiative EuCAPT. The NCBJ is among the first Polish centres to join this international collaboration.
Discovery of the Most Powerful Odd Radio Circle to Date
Astronomers have discovered the most distant and most powerful “odd radio circle” (ORC) ever observed – with key contributions from a researcher at the Astrophysics division of the National Centre for Nuclear Research (NCBJ).
