Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Kavli Affiliate: T. A. Shutt | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This approach demonstrates reduction in computation time […]


Continue.. Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Kavli Affiliate: T. A. Shutt, C. M. Ignarra, Daniel S. Akerib | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This […]


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Scattering Loss in Precision Metrology due to Mirror Roughness

Kavli Affiliate: Rana X. Adhikari | First 5 Authors: Yehonathan Drori, Johannes Eichholz, Tega Edo, Hiro Yamamoto, Yutaro Enomoto | Summary: Optical losses degrade the sensitivity of laser interferometric instruments. They reduce the number of signal photons and introduce technical noise associated with diffuse light. In quantum-enhanced metrology, they break the entanglement between correlated photons. […]


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BASS XXX: Distribution Functions of DR2 Eddington-ratios, Black Hole Masses, and X-ray Luminosities

Kavli Affiliate: Claudio Ricci | First 5 Authors: Tonima Tasnim Ananna, Anna K. Weigel, Benny Trakhtenbrot, Michael J. Koss, C. Megan Urry | Summary: We determine the low-redshift X-ray luminosity function (XLF), active black hole mass function (BHMF), and Eddington-ratio distribution function (ERDF) for both unobscured (Type 1) and obscured (Type 2) active galactic nuclei […]


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Probabilistic Mass Mapping with Neural Score Estimation

Kavli Affiliate: Jia Liu | First 5 Authors: Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck | Summary: Weak lensing mass-mapping is a useful tool to access the full distribution of dark matter on the sky, but because of intrinsic galaxy ellipticies and finite fields/missing data, the recovery of dark matter maps constitutes […]


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Systematic biases in determining dust attenuation curves through galaxy SED fitting

Kavli Affiliate: Yingjie Peng | First 5 Authors: Jianbo Qin, Xian Zhong Zheng, Min Fang, Zhizheng Pan, Stijn Wuyts | Summary: While the slope of the dust attenuation curve ($delta$) is found to correlate with effective dust attenuation ($A_V$) as obtained through spectral energy distribution (SED) fitting, it remains unknown how the fitting degeneracies shape […]


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Systematic analysis reveals key microRNAs as diagnostic and prognostic factors in progressive stages of lung cancer

Kavli Affiliate: Ke Wang | First 5 Authors: Dietrich Kong, , , , | Summary: MicroRNAs play an indispensable role in numerous biological processes ranging from organismic development to tumor progression.In oncology,these microRNAs constitute a fundamental regulation role in the pathology of cancer that provides the basis for probing into the influences on clinical features […]


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ALMaQUEST — VII: Star Formation Scaling Relations of Green Valley Galaxies

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Lihwai Lin, Sara L. Ellison, Hsi-An Pan, Mallory Thorp, Po-Chieh Yu | Summary: We utilize the ALMA-MaNGA QUEnch and STar formation (ALMaQUEST) survey to investigate the kpc-scale scaling relations, presented as the resolved star forming main sequence (rSFMS: $Sigma_{rm SFR}$ vs. $Sigma_{*}$), the resolved Schmidt-Kennicutt relation (rSK: […]


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Lensing or luck? False alarm probabilities for gravitational lensing of gravitational waves

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Mesut Çalışkan, Jose María Ezquiaga, Otto A. Hannuksela, Daniel E. Holz, | Summary: Strong gravitational lensing of gravitational waves (GWs) has been forecasted to become detectable in the upcoming observing runs. However, definitively distinguishing pairs of lensed sources from random associations is a challenging problem. We […]


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