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We are pleased to announce the 6th Annual Conference of the Nordic Network for Diversity in Physics, NORNDiP. It will take place at the Institute for fysikk og teknologi (UiB) in Bergen, Norway on:
May 7th and 8th, 2024
Conference theme: Smoothing the Bumpy Road – on Gender Microaggression
The conference will feature speakers from each of the Nordic countries presenting their research in various fields of physics, as well as speakers on gender and diversity topics. Young scientists particularly are encouraged to present their work.
Space Research Institute, Austrian Academy of Sciences
University of Copenhagen, Department of Science Education
Roughly half of the atmospheric particles originate gas-to-new-particle conversion which was first observed in the1990s. However, the molecular mechanisms of formation of the initial molecular clusters and their growth to atmospheric aerosol particles in the diverse atmospheric conditions are not yet understood. Our cluster population dynamics model (ACDC, first published in 2012) combined with high-level quantum chemical data can fairly accurately predict new particle formation rates for any single combination of clustering molecules. The sheer number of potential - predominantly organic - chemical species, processes and cluster structures makes a brute-force application of such a model impossible for most conditions in the real atmosphere. The low concentrations of the individual particle-forming vapours and their precursors, furthermore, pose challenges to their experimental identification. We have set out to tackle these issues by developing tailor made machine learning techniques to model atmospheric particle formation, and also support the analysis of experimental data
Extrasolar planets are very diverse, ranging from rocky planets to
ultra-hot gaseous giants. Ideally, one would like to use global
parameters like orbital distance, planetary mass and the host star's
effective temperature to characterize the planet as well as its
atmospheric regimes remotely. Ultra-hot gas giants, however, defy this
aim since their atmosphere exhibit a wide range of chemical
conditions: The day side is sufficiently ionized to suggest a
stratified magnetic coupling and the night side is so cold that clouds
form. Warm, hot and ultra-hot gaseous exoplanets are the easiest to
observe and therefore allow to characterize their complex chemistry
and atmospheric regimes. Space missions like HST, CHEOPS, JWST, in the
future also PLATO and Ariel enable unprecedented insight, for example:
CHEOPS phase curves point to the presence of of atmospheric magnetic
fields in
exoplanets, JWST provides the first proof of cloud particles in
exoplanet atmospheres and the discovery of new gas-phase species like
SO2 in combination with CH4 and H2O.
In this talk, I will demonstrate how virtual laboratories that combine
detailed physical models are the base for interpreting observational
findings, for putting them into a physical context. The focus of the
talk will be our recent advances in cloud formation modelling combined
with extensive studies of metal-oxide cluster formation, photo-chemical
processes, and complex 3D atmosphere simulations.
I will talk about how I use astrophysical transients to address fundamental questions about the Universe we live in. Astrophysical transients — stars exploding as supernovae — are the spotlights of the Universe, which are, however, dimmed by ‘cosmic dust’, i.e., small solid particles of unknown origin. Recent measurements of the expansion rate of the Universe, using supernovae as distance indicators, are in disagreement with early Universe measurements. Some questions which shall be addressed are: Are supernovae the long sought production factories of large cosmic dust grains? And, is cosmic dust a driver of the expansion rate discrepancy? I will talk about how new methods and upcoming transient surveys may help find answers to these questions.