T. W. Morris

Impact of Pre-Radiotherapy CT-Derived Sarcopenia on Survival Outcomes in Oropharyngeal Squamous Cell Carcinoma Patients

M. Mandor, W. Floyd, Aimei Kang, S.E. Kim et autres

us (code pays fourni par la source)

The Simons Observatory: forecasted constraints on primordial gravitational waves with the expanded array of Small Aperture Telescopes

Irene Abril-Cabezas, S. Adachi, P. Ade, Alexandre Adler et autres

Abstract We present updated forecasts for the scientific performance of the degree-scale (0.5 deg FWHM at 93 GHz), deep-field survey to be conducted by the Simons Observatory (SO). By 2027, the SO Small Aperture Telescope (SAT) complement will be doubled from three …

gb, ru, jp, us, cl, it, is, au, fr, ca, ch, Afrique du Sud, nl (code pays fourni par la source)

Observing the Sun with the Atacama Large Aperture Submillimeter Telescope (AtLAST): Forecasting Full-disk Observations

Mats Kirkaune, Sven Wedemeyer, Joshiwa van Marrewijk, Tony K. Mroczkowski et autres

The Atacama Large Millimeter Array (ALMA) has revolutionised the field of solar millimetre astronomy with its high angular resolution and cadence. However, with a limited field of view (FOV), targeted observations of highly dynamic phenomena such of flares are challenging. A large …

no, nl, us (code pays fourni par la source)

The Atacama Cosmology Telescope: Machine-learning-driven Tools for Detecting Millimeter Sources in Timestream Preprocessing

S. Nerval, Erika Hornecker, Yilun Guan, Z Zhang et autres

Abstract We present a new pipeline utilizing machine learning for classifying short-duration features in raw time-ordered data (TOD) of cosmic microwave background survey observations. The pipeline, specifically designed for the Atacama Cosmology Telescope, works in conjunction with the previous TOD preprocessing techniques …

ca, va, us, au, cl, no (code pays fourni par la source)

maria goes NIFTy: Gaussian Process-Based Reconstruction and Denoising of Simulated (Sub-)Millimetre Single-Dish Telescope Data

Jonas Würzinger, Joshiwa van Marrewijk, T. W. Morris, Tony K. Mroczkowski et autres

(Sub-)millimetre single-dish telescopes feature faster mapping speeds and access larger spatial scales than their interferometric counterparts. However, atmospheric fluctuations tend to dominate their signals and complicate recovery of the astronomical sky. Here we develop a framework for Gaussian process-based sky reconstruction and …

Differentially Private Federated Quantum Learning via Quantum Noise

Atit Pokharel, Ratun Rahman, Shaba Shaon, T. W. Morris et autres

Quantum federated learning (QFL) enables collaborative training of quantum machine learning (QML) models across distributed quantum devices without raw data exchange. However, QFL remains vulnerable to adversarial attacks, where shared QML model updates can be exploited to undermine information privacy. In the …

us (code pays fourni par la source)

Differentially Private Federated Quantum Learning via Quantum Noise

Atit Pokharel, Ratun Rahman, Shaba Shaon, T. W. Morris et autres

Quantum federated learning (QFL) enables collaborative training of quantum machine learning (QML) models across distributed quantum devices without raw data exchange. However, QFL remains vulnerable to adversarial attacks, where shared QML model updates can be exploited to undermine information privacy. In the …

Comparison between invasive and non-invasive photon beam monitors in the tender x-ray regime for beamline diagnostics, optimization, and feedback

Xiaoya Chong, T. W. Morris, Tyler Forgacs, Kenneth A. Goldberg et autres

We experimentally evaluate the performance of a novel pixelated diamond sensor for non-invasive x-ray beam monitoring in the tender x-ray regime (6–30 keV). Through simulations and experiments, we assess its precision in measuring beam parameters (flux, position and size) and compare it …

us (code pays fourni par la source)

Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach

Atit Pokharel, Ratun Rahman, T. W. Morris, Dinh Cong Nguyen

Quantum federated learning (QFL) has been recently introduced to enable a distributed privacy-preserving quantum machine learning (QML) model training across quantum processors (clients). Despite recent research efforts, existing QFL frameworks predominantly focus on unimodal systems, limiting their applicability to real-world tasks that …

us (code pays fourni par la source)

Atacama Large Aperture Submillimeter Telescope (AtLAST) science: Resolving the hot and ionized Universe through the Sunyaev-Zeldovich effect

Luca Di Mascolo, Y. C. Perrott, Tony K. Mroczkowski, Srinivasan Raghunathan et autres

An omnipresent feature of the multi-phase “cosmic web” — the large-scale filamentary backbone of the Universe — is that warm/hot (≳ 10 5 K) ionized gas pervades it. This gas constitutes a relevant contribution to the overall universal matter budget across multiple …

it, fr, nz, de, us, nl, jp, no, dk, gb, ca, cn (code pays fourni par la source)

The Atacama Cosmology Telescope: semi-analytic covariance matrices for the DR6 CMB power spectra

Zachary Atkins, Zack Li, David Alonso, J. Richard Bond et autres

Abstract The Atacama Cosmology Telescope Data Release 6 (ACT DR6) power spectrum is expected to provide state-of-the-art cosmological constraints, with an associated need for precise error modeling. In this paper we design, and evaluate the performance of, an analytic covariance matrix prescription …

fr (code pays fourni par la source)

The Atacama Cosmology Telescope: Quantifying atmospheric emission above Cerro Toco

T. W. Morris, E. S. Battistelli, Ricardo Bustos, Steve K. Choi et autres

At frequencies below 1 Hz, fluctuations in atmospheric emission in the Chajnantor region in northern Chile are the primary source of interference for bolometric millimeter-wave observations. This paper focuses on characterizing the statistics of these fluctuations using measurements from the Atacama Cosmology …

us, it, cl, ca, no, ar (code pays fourni par la source)