HAMLET-PHYSICS 2026 Conference

Session

Flash talks: Astro, Cosmo and Sensing

21 Aug 2026, 09:05

Margrethe Bohr Salen (Niels Bohr Building)

12. Stellar Stream Identification with Hyperparameter Transfer GNNs

Adriana Dropulic (Niels Bohr Institute)

21/08/2026, 09:05

Poster

Stellar streams, the remnants of tidally disrupted dwarf galaxies and globular clusters, are powerful probes of galaxy assembly and dark matter. While many streams have been discovered in the Milky Way, comparisons with cosmological simulations suggest that both the census of streams and the identification of their constituent stars remain incomplete due to overwhelming stellar backgrounds,...

25. What Shapes the UV β Slope of Early Galaxies? An ML Approach to Galaxy Evolution in the Epoch of Reionization

Mr Davey Plugers (University of Copenhagen), Zhen Xiang (University of Edinburgh)

21/08/2026, 09:10

Poster

The UV continuum slope (β) of high-redshift galaxies is an important observable for understanding the stellar populations, dust attenuation, and ionizing photon production of galaxies during the Epoch of Reionization. However, the relationship between UV β slopes and underlying galaxy properties is highly non-linear, involving the combined effects of star formation, metallicity, gas evolution,...

9. Transformers for heterogeneous time series of strongly lensed supernovae

Nikki Arendse (University of Nova Gorica)

21/08/2026, 09:15

Poster

When a supernova is located behind a massive galaxy, its light can be gravitationally lensed to form multiple images. Such a strongly lensed supernova is a rare and powerful probe that provides insights into distant supernova explosions, dark matter in galaxies, and even the expansion rate of the Universe. Currently, the lensed supernova field stands at a turning point, as we transition from a...

31. From Micro to Macro-World: Device-Agnostic Single-Emitter Super-Resolution Imaging using Deep Learning

Dominik Vašinka (Palacký University Olomouc)

21/08/2026, 09:20

Poster

Any optical imaging system, from microscopes to telescopes, is subjected to diffraction owing to its finite aperture. For objects composed of many single emitters, such as molecules, quantum dots, or stars, diffraction blurring can significantly impair our ability to determine the number and positions of emitters present. Deep learning techniques showed great potential in overcoming this...

3. Does extrinsic flux patterns support clustering by intrinsic oscillations in insect lidar?

Mikkel Brydegaard (Lund Univeristy)

21/08/2026, 09:25

Poster

What goes up doesn’t necessarily come down. No insects are born in the air but many ends their lives in bellies of predators. Over breeding sites this imbalance would be exaggerated and during invasions the flux could be reversed. Our group currently develops lidar tools for online in situ biodiversity assessment. We can detect hundreds of thousands of insects per day and differentiating...

1. Magnetic-field controlled perfect chirality in a on-chip coherent spin–photon interface

Dr Shikai Liu (The Niels Bohr Institute, University of Copenhagen)

21/08/2026, 09:30

Poster

The ability to engineer chiral spin-photon interactions is essential for exploring quantum networks and non-reciprocal quantum optics. Here, we demonstrate chiral coupling of a negatively charged quantum dot spin, i.e., a four-level system, embedded in a standard W1 photonic-crystal waveguide. Despite the absence of global chirality, we observe spin-dependent directional emission of...

44. Outlier Detection in the BedMap Dataset

Mr Janik Happel (NBI, KU)

21/08/2026, 09:35

Poster

The BedMap compilation of Antarctic ice-thickness measurements contains 74.7 million data points collected over five decades (1966–2020). Measurement noise, unphysical jumps, and the ongoing ice flow over this period mean that much of the older data is unreliable, and such corrupted measurements propagate into the climate models built on top of the dataset. We present a semi-supervised graph...