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
Unveiling the hidden stars: ALMA Shines a Light on Dust Attenuation
Interstellar dust is a key component in galaxies. It favors star formation and drives the chemistry and physics of the interstellar medium. However, it hides the majority of stars in a way that it is impossible to observe them. Astrophysicists use dust attenuation laws that would uncover these hidden stars by reverse-engineering the light from galaxies to quantify how many stars are there.
The project of a PhD student of the NCBJ Department of Astrophysics qualified for the „Pearls of Science” program
The first edition of the competition under the „Pearls of Science” program has been settled. One of the scientists qualified for the program is Krzysztof Lisiecki, MSc, a PhD student at the Astrophysics Department of the National Center for Nuclear Research, conducting research in the project „In search of witnesses to the early Universe – studying the properties of red nuggets”.
New images of tens of thousands of galaxies have been made available at the Galactic Zoo
Twenty thousand high quality images from the Hawaii Two-0 (H20)/Cosmic Dawn survey have been released to the public on the most popular citizen science project: Galaxy Zoo. Anyone in the world can become a citizen scientist and help astronomers classify images from the Subaru telescope.
Wyścigi fotonów pod lupą grawitacji
Fotony przemierzają Wszechświat z niezmienną prędkością. Tylko czy zawsze wszystkie z tą samą? Aby sprawdzić, czy potencjalne efekty kwantowej grawitacji nie wpływają na prędkości fotonów o bardzo dużych energiach, polsko-chiński zespół naukowców zaprzągł do pracy dwa spektakularne zjawiska kosmiczne: soczewki grawitacyjne i wybuchy promieniowania gamma.
Artificial intelligence will track down gravity lenses
Images of distant galaxies, distorted by powerful gravitational lenses, are visually the most out-of-the-box phenomena photographed by telescopes. Their automatic detection is difficult for many reasons. During the international workshop in Warsaw, dedicated to machine learning, NCBJ scientists demonstrated theoretical models and software that deal with this task with high efficiency and reliability.
Dr. William Pearson receives the scholarship for outstanding young scientists
"My work so far was focused on the formation and evolution of galaxies using modern machine learning methods" - explains Dr. William James Pearson of the NCBJ Astrophysics Division. Dr. Pearson received one of this year's scholarships from the Minister of Education and Science for outstanding young scientists demonstrating significant achievements in scientific activity.
