The Simons Observatory: Dark Characterization of the Large Aperture Telescope

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Saianeesh K. Haridas, Zeeshan Ahmed, Tanay Bhandarkar, Mark Devlin, Simon Dicker | Summary: The Simons Observatory (SO) is a cosmic microwave background experiment composed of three 0.42 m Small Aperture Telescopes (SATs) and one 6 m Large Aperture Telescope (LAT) in the Atacama Desert of Chile. The […]


Continue.. The Simons Observatory: Dark Characterization of the Large Aperture Telescope

PKS 2131-021 — Discovery of Strong Coherent Sinusoidal Variations from Radio to Optical Frequencies: Compelling Evidence for a Blazar Supermassive Black Hole Binary

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Sebastian Kiehlmann, Philipe Vergara De La Parra, Andrew Sullivan, A. Synani, Ioannis Liodakis | Summary: Haystack and Owens Valley Radio Observatory (OVRO) observations recently revealed strong sinusoidal total flux density variations that maintained coherence between 1975 and 2021 in the blazar PKS 2131-021 ($z=1.283)$. This was interpreted […]


Continue.. PKS 2131-021 — Discovery of Strong Coherent Sinusoidal Variations from Radio to Optical Frequencies: Compelling Evidence for a Blazar Supermassive Black Hole Binary

Translatome analysis reveals cellular network in DLK-dependent hippocampal glutamatergic neuron degeneration

Kavli Affiliate: Yishi Jin | Authors: Erin M Ritchie, Siming Zhong, Qianyi Pu, Yunbo Li, Binhai Zheng and Yishi Jin | Summary: The conserved MAP3K12/Dual Leucine Zipper Kinase (DLK) plays versatile roles in neuronal development, axon injury and stress responses, and neurodegeneration, depending on cell-type and cellular contexts. Emerging evidence implicates abnormal DLK signaling in […]


Continue.. Translatome analysis reveals cellular network in DLK-dependent hippocampal glutamatergic neuron degeneration

Spin-filter tunneling detection of antiferromagnetic resonance with electrically-tunable damping

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Thow Min Jerald Cham, Daniel G. Chica, Kenji Watanabe, Takashi Taniguchi, Xavier Roy | Summary: Antiferromagnetic spintronics offers the potential for higher-frequency operations compared to ferromagnetic spintronics and improved insensitivity to magnetic fields. However, previous electrical techniques to detect antiferromagnetic dynamics have required millimeter-scale samples to […]


Continue.. Spin-filter tunneling detection of antiferromagnetic resonance with electrically-tunable damping

Rich and diverse molecular gas environments of closely-separated dual quasars viewed by ALMA

Kavli Affiliate: John D. Silverman | First 5 Authors: Shenli Tang, John D. Silverman, Zhaoxuan Liu, Manda Banerji, Tomoko Suzuki | Summary: We present a study of the molecular gas in five closely-spaced ($R_{perp}<20$ kpc) dual quasars ($L_{rm bol}gtrsim10^{44}~mathrm{erg~s}^{-1}$) at redshifts $0.4<z<0.8$ with the Atacama Large Millimeter/submillimeter Array. The dual quasar phase represents a distinctive […]


Continue.. Rich and diverse molecular gas environments of closely-separated dual quasars viewed by ALMA

Heterogeneous integration of amorphous silicon carbide on thin film lithium niobate

Kavli Affiliate: Simon Groblacher | First 5 Authors: Zizheng Li, Naresh Sharma, Bruno Lopez-Rodriguez, Roald van der Kolk, Thomas Scholte | Summary: In the past decade, lithium niobate (LiNbO3 or LN) photonics, thanks to its heat-free and fast electro-optical modulation, second-order non-linearities and low loss, has been extensively investigated. Despite numerous demonstrations of high-performance LN […]


Continue.. Heterogeneous integration of amorphous silicon carbide on thin film lithium niobate

Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang, | Summary: Self-supervised contrastive learning has become a key technique in deep learning, particularly in time series analysis, due to its ability to learn meaningful representations without explicit supervision. Augmentation is a critical component in contrastive learning, where different […]


Continue.. Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Feng Shu, Rongen Dong, Wei Gao, Qi Zhang | Summary: In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel […]


Continue.. Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Wei Gao, Qi Zhang, Jiajia Liu, Feng Shu | Summary: In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel […]


Continue.. Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Measurement of $CP$ asymmetries in $B^0 to K^0_S π^0 γ$ decays at Belle II

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara | Summary: We report measurements of time-dependent $CP$ asymmetries in $B^0 to K^0_S pi^0 gamma$ decays based on a data sample of $(388pm6)times10^6$ $Bbar{B}$ events collected at the $Upsilon(4S)$ resonance with the Belle II detector. The […]


Continue.. Measurement of $CP$ asymmetries in $B^0 to K^0_S π^0 γ$ decays at Belle II