Zobrazeno 1 - 10
of 6 585
pro vyhledávání: '"Heintz, A. P"'
Autor:
Taamoli, Sina, Nezhad, Negin, Mobasher, Bahram, Manesh, Faezeh, Chartab, Nima, Weaver, John R., Capak, Peter L., Casey, Caitlin M., Gozaliasl, Ghassem, Heintz, Kasper E., Ilbert, Olivier, Kartaltepe, Jeyhan S., McCracken, Henry J., Sanders, David B., Scoville, Nicholas, Toft, Sune, Watson, Darach
The role of internal and environmental factors in the star formation activity of galaxies is still a matter of debate, particularly at higher redshifts. Leveraging the most recent release of the COSMOS catalog, COSMOS2020, and density measurements fr
Externí odkaz:
http://arxiv.org/abs/2411.09522
Autor:
Krogager, J. -K., De Cia, A., Heintz, K. E., Fynbo, J. P. U., Christensen, L. B., Björnsson, G., Jakobsson, P., Jeffreson, S., Ledoux, C., Møller, P., Noterdaeme, P., Palmerio, J., Vergani, S. D., Watson, D.
Publikováno v:
MNRAS 535, 561 (2024)
We study the properties of long gamma-ray burst (GRB) host galaxies using a statistical modelling framework derived to model damped Lyman-$\alpha$ absorbers (DLAs) in quasar spectra at high redshift. The distribution of NHI for GRB-DLAs is $\sim$10 t
Externí odkaz:
http://arxiv.org/abs/2411.03818
Autor:
Cooper, Olivia R., Brammer, Gabriel, Heintz, Kasper E., Toft, Sune, Casey, Caitlin M., Setton, David J., de Graaff, Anna, Boogaard, Leindert, Cleri, Nikko J., Gillman, Steven, Gottumukkala, Rashmi, Greene, Jenny E., Gullberg, Bitten, Hirschmann, Michaela, Hviding, Raphael E., Lambrides, Erini, Leja, Joel, Long, Arianna S., Manning, Sinclaire M., Maseda, Michael V., McConachie, Ian, McKinney, Jed, Narayanan, Desika, Price, Sedona H., Strait, Victoria, Weibel, Andrea, Williams, Christina C.
The dearth of high quality spectroscopy of dusty star-forming galaxies (DSFGs) -- the main drivers of the assembly of dust and stellar mass at the peak of activity in the Universe -- greatly hinders our ability to interpret their physical processes a
Externí odkaz:
http://arxiv.org/abs/2410.08387
Autor:
Rouis, Lou Baya Ould, Hermes, J. J., Gänsicke, Boris T., Sahu, Snehalata, Koester, Detlev, Tremblay, P. -E., Veras, Dimitri, Farihi, Jay, Heintz, Tyler M., Fusillo, Nicola Pietro Gentile, Redfield, Seth
As the descendants of stars with masses less than 8 M$_{\odot}$ on the main sequence, white dwarfs provide a unique way to constrain planetary occurrence around intermediate-mass stars (spectral types BAF) that are otherwise difficult to measure with
Externí odkaz:
http://arxiv.org/abs/2410.06335
This work presents Fair4Free, a novel generative model to generate synthetic fair data using data-free distillation in the latent space. Fair4Free can work on the situation when the data is private or inaccessible. In our approach, we first train a t
Externí odkaz:
http://arxiv.org/abs/2410.01423
Autor:
Naidu, Rohan P., Matthee, Jorryt, Kramarenko, Ivan, Weibel, Andrea, Brammer, Gabriel, Oesch, Pascal A., Lechner, Peter, Furtak, Lukas J., Di Cesare, Claudia, Torralba, Alberto, Kotiwale, Gauri, Bezanson, Rachel, Bouwens, Rychard J., Chandra, Vedant, Claeyssens, Adélaïde, Danhaive, A. Lola, Frebel, Anna, de Graaff, Anna, Greene, Jenny E., Heintz, Kasper E., Ji, Alexander P., Kashino, Daichi, Katz, Harley, Labbe, Ivo, Leja, Joel, Li, Yijia, Maseda, Michael V., Richard, Johan, Shivaei, Irene, Simcoe, Robert A., Sobral, David, Suess, Katherine A., Tacchella, Sandro, Williams, Christina C.
Dwarf galaxies hold the key to crucial frontiers of astrophysics, however, their faintness renders spectroscopy challenging. Here we present the JWST Cycle 2 survey, All the Little Things (ALT, PID 3516), which is designed to seek late-forming Pop II
Externí odkaz:
http://arxiv.org/abs/2410.01874
We present experiences and lessons learned from increasing data readiness of heterogeneous data for artificial intelligence projects using visual analysis methods. Increasing the data readiness level involves understanding both the data as well as th
Externí odkaz:
http://arxiv.org/abs/2409.03805
Data Fairness is a crucial topic due to the recent wide usage of AI powered applications. Most of the real-world data is filled with human or machine biases and when those data are being used to train AI models, there is a chance that the model will
Externí odkaz:
http://arxiv.org/abs/2408.10755
Autor:
Wretblad, Niklas, Holmström, Oskar, Larsson, Erik, Wiksäter, Axel, Söderlund, Oscar, Öhman, Hjalmar, Pontén, Ture, Forsberg, Martin, Sörme, Martin, Heintz, Fredrik
Relational databases often suffer from uninformative descriptors of table contents, such as ambiguous columns and hard-to-interpret values, impacting both human users and text-to-SQL models. In this paper, we explore the use of large language models
Externí odkaz:
http://arxiv.org/abs/2408.04691
Autor:
Katz, Harley, Cameron, Alex J., Saxena, Aayush, Barrufet, Laia, Choustikov, Nicholas, Cleri, Nikko J., de Graaff, Anna, Ellis, Richard S., Fosbury, Robert A. E., Heintz, Kasper E., Maseda, Michael, Matthee, Jorryt, McConchie, Ian, Oesch, Pascal A.
We study, from both a theoretical and observational perspective, the physical origin and spectroscopic impact of extreme nebular emission in high-redshift galaxies. The nebular continuum, which can appear during extreme starbursts, is of particular i
Externí odkaz:
http://arxiv.org/abs/2408.03189