The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into focus

Kavli Affiliate: Claudio Ricci | First 5 Authors: Francesca Civano, Xiurui Zhao, Peter Boorman, Stefano Marchesi, Tonima Ananna | Summary: Since the discovery of the Cosmic X-ray Background, astronomers have strived to understand the accreting super massive black holes contributing to its peak in the 10-40 keV band. Existing soft X-ray telescopes could study this […]


Continue.. The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into focus

The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into Focus

Kavli Affiliate: Claudio Ricci | First 5 Authors: Francesca Civano, Xiurui Zhao, Peter Boorman, Stefano Marchesi, Tonima Ananna | Summary: Since the discovery of the cosmic X-ray background (CXB), astronomers have strived to understand the accreting supermassive black holes (SMBHs) contributing to its peak in the 10-40 keV band. Existing soft X-ray telescopes could study […]


Continue.. The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into Focus

Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

Kavli Affiliate: Claudio Ricci | First 5 Authors: Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka, Rui Li, Franz Erik Bauer | Summary: Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and flexible automated tools for data analysis and […]


Continue.. Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

Kavli Affiliate: Claudio Ricci | First 5 Authors: Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka, Rui Li, Franz Erik Bauer | Summary: Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and flexible automated tools for data analysis and […]


Continue.. Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

The robustness in identifying and quantifying high-redshift bars using JWST observations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xinyue Liang, Si-Yue Yu, Taotao Fang, Luis C. Ho, | Summary: Understanding the methodological robustness in identifying and quantifying high-redshift bars is essential for studying their evolution with the {it James} {it Webb} Space Telescope (JWST). Using a sample of nearby spiral galaxies, we created simulated […]


Continue.. The robustness in identifying and quantifying high-redshift bars using JWST observations

The robustness in identifying and quantifying high-redshift bars using JWST observations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xinyue Liang, Si-Yue Yu, Taotao Fang, Luis C. Ho, | Summary: Understanding the methodological robustness in identifying and quantifying high-redshift bars is essential for studying their evolution with the {it James} {it Webb} Space Telescope (JWST). We used nearby spiral galaxies to generate simulated images at […]


Continue.. The robustness in identifying and quantifying high-redshift bars using JWST observations

Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

Kavli Affiliate: Jing Wang | First 5 Authors: Wonho Bae, Jing Wang, Danica J. Sutherland, , | Summary: Most meta-learning methods assume that the (very small) context set used to establish a new task at test time is passively provided. In some settings, however, it is feasible to actively select which points to label; the […]


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The Case of Transparent Cache Invalidation in Web Applications

Kavli Affiliate: Ke Wang | First 5 Authors: Yunhong Ji, Xuan Zhou, Yongluan Zhou, Ke Wang, | Summary: Application-level caches are widely adopted by web applications to minimize the response time of user requests as well as to reduce the burden on the system backend, such as the database servers. In the state of practice, […]


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Waveform Modelling for the Laser Interferometer Space Antenna

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay, Pau Amaro Seoane, Andrea Antonelli | Summary: LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will expand our view to the millihertz […]


Continue.. Waveform Modelling for the Laser Interferometer Space Antenna

Waveform Modelling for the Laser Interferometer Space Antenna

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay, Pau Amaro Seoane, Andrea Antonelli | Summary: LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will expand our view to the millihertz […]


Continue.. Waveform Modelling for the Laser Interferometer Space Antenna