Morphology of 137 Fast Radio Bursts down to Microseconds Timescales from The First CHIME/FRB Baseband Catalog

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Ketan R. Sand, Alice P. Curtin, Daniele Michilli, Victoria M. Kaspi, Emmanuel Fonseca | Summary: We present a spectro-temporal analysis of 137 fast radio bursts (FRBs) from the first CHIME/FRB baseband catalog, including 125 one-off bursts and 12 repeat bursts, down to microsecond resolution using the […]


Continue.. Morphology of 137 Fast Radio Bursts down to Microseconds Timescales from The First CHIME/FRB Baseband Catalog

Contemporaneous X-ray Observations of 30 Bright Radio Bursts from the Prolific Fast Radio Burst Source FRB 20220912A

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Amanda M. Cook, Paul Scholz, Aaron B. Pearlman, Thomas C. Abbott, Marilyn Cruces | Summary: We present an extensive contemporaneous X-ray and radio campaign performed on the repeating fast radio burst (FRB) source FRB 20220912A for eight weeks immediately following the source’s detection by CHIME/FRB. This […]


Continue.. Contemporaneous X-ray Observations of 30 Bright Radio Bursts from the Prolific Fast Radio Burst Source FRB 20220912A

Characterization of X-ray Detectors in the MIT X-ray Polarimetry Beamline

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Sarah N. T. Heine, Herman L. Marshall, Benjamin Schneider, Beverly Lamar, Nithya Kothnur | Summary: The MIT X-ray Polarimetry Beamline is a facility that we developed for testing components for possible use in X-ray polarimetry. Over the past few years, we have demonstrated that the X-ray […]


Continue.. Characterization of X-ray Detectors in the MIT X-ray Polarimetry Beamline

Characterization of X-ray Detectors in the MIT X-ray Polarimetry Beamline

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Sarah N. T. Heine, Herman L. Marshall, Benjamin Schneider, Beverly Lamar, Nithya Kothnur | Summary: The MIT X-ray Polarimetry Beamline is a facility that we developed for testing components for possible use in X-ray polarimetry. Over the past few years, we have demonstrated that the X-ray […]


Continue.. Characterization of X-ray Detectors in the MIT X-ray Polarimetry Beamline

Characterization of X-ray Detectors in the MIT X-ray Polarimetry Beamline

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Sarah N. T. Heine, Herman L. Marshall, Benjamin Schneider, Beverly Lamar, Nithya Kothnur | Summary: The MIT X-ray Polarimetry Beamline is a facility that we developed for testing components for possible use in X-ray polarimetry. Over the past few years, we have demonstrated that the X-ray […]


Continue.. Characterization of X-ray Detectors in the MIT X-ray Polarimetry Beamline

Concept of a Double Tilted Rowland Spectrograph for X-rays

Kavli Affiliate: Ralf K. Heilmann | First 5 Authors: Hans Moritz Günther, Casey T. DeRoo, Ralf K. Heilmann, Edward Hertz, | Summary: High-resolution spectroscopy in soft X-rays ($<2$ keV) requires diffractive elements to resolve any astrophysically relevant diagnostics, such as closely spaced lines, weak absorption lines, or line profiles. The Rowland torus geometry describes how […]


Continue.. Concept of a Double Tilted Rowland Spectrograph for X-rays

Concept of a Double Tilted Rowland Spectrograph for X-rays

Kavli Affiliate: Ralf K. Heilmann | First 5 Authors: Hans Moritz Günther, Casey T. DeRoo, Ralf K. Heilmann, Edward Hertz, | Summary: High-resolution spectroscopy in soft X-rays ($<2$ keV) requires diffractive elements to resolve any astrophysically relevant diagnostics, such as closely spaced lines, weak absorption lines, or line profiles. The Rowland torus geometry describes how […]


Continue.. Concept of a Double Tilted Rowland Spectrograph for X-rays

AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

Kavli Affiliate: Avi Shporer | First 5 Authors: Keith Tyser, Ben Segev, Gaston Longhitano, Xin-Yu Zhang, Zachary Meeks | Summary: Automatic reviewing helps handle a large volume of papers, provides early feedback and quality control, reduces bias, and allows the analysis of trends. We evaluate the alignment of automatic paper reviews with human reviews using […]


Continue.. AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

Kavli Affiliate: Avi Shporer | First 5 Authors: Keith Tyser, Ben Segev, Gaston Longhitano, Xin-Yu Zhang, Zachary Meeks | Summary: Automatic reviewing helps handle a large volume of papers, provides early feedback and quality control, reduces bias, and allows the analysis of trends. We evaluate the alignment of automatic paper reviews with human reviews using […]


Continue.. AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark | Summary: A major challenge of AI + Science lies in their inherent incompatibility: today’s AI is primarily based on connectionism, while science depends on symbolism. To bridge the two worlds, we propose a framework to seamlessly […]


Continue.. KAN 2.0: Kolmogorov-Arnold Networks Meet Science