Tootfinder

Miniaturized time-correlated single-photon counting module for time-of-flight non-line-of-sight imaging applications
Jie Wu, Chao Yu, Jian-Wei Zeng, Chen Dai, Feihu Xu, Jun Zhang
https://arxiv.org/abs/2404.07218

Miniaturized time-correlated single-photon counting module for time-of-flight non-line-of-sight imaging applications
Single-photon time-of-flight (TOF) non-line-of-sight (NLOS) imaging enables the high-resolution reconstruction of objects outside the field of view. The compactness of TOF NLOS imaging systems, entailing the miniaturization of key components within such systems is crucial for practical applications. Here, we present a miniaturized four-channel time-correlated single-photon counting module dedicated to TOF NLOS imaging applications. The module achieves excellent performance with a 10 ps bin size…

What's particularly muddy right now is
how a rising number of cattle infections are impacting farm workers,
beyond the Texas case that occurred back in March.
Veterinarians and physicians in states with dairy cattle outbreaks told The Associated Press there are multiple reports of farm workers falling sick,
but confirming cases is proving challenging for one key reason:
Many workers are reluctant to get tested.
"You have groups of individuals that…

What would it take to spark an H5N1 bird flu pandemic? And how bad would it be? | CBC News
For several decades, scientists have rung alarms that a dangerous form of bird flu had pandemic potential. As H5N1 spreads to more species, including U.S. dairy cattle, how likely is that worst-case scenario?

This https://arxiv.org/abs/2310.14667 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Molecular integral equations theory in the near critical region of CO2
Environmental concerns advocate for greener yet efficient solvents. Supercritical CO2 (scCO2) is a promising candidate due to its non-toxicity and potential for reusing CO2 emissions. It also offers a versatile range of properties, finely tunable by pressure adjustments. This adaptability is exploited in chemical industry processes (separation, extraction). Developing new green processes using scCO2 requires an efficient predictive tool for the solvation properties under different conditions. E…

This https://arxiv.org/abs/1608.05260 has been replaced.
link: https://scholar.google.com/scholar?q=a

Towards Grand Unification
Sidharth had shown that gravitation can be reconciled with electromagnetic and other forces if we start from a Landau-Ginzburg phase transition. This is further remarked upon and a unification of all forces of nature is proposed.

Spectral Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography
Corentin Vazia, Alexandre Bousse, B\'eatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis, Jacques Froment
https://arxiv.org/abs/2403.06308

Spectral Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography
Using recent advances in generative artificial intelligence (AI) brought by diffusion models, this paper introduces a new synergistic method for spectral computed tomography (CT) reconstruction. Diffusion models define a neural network to approximate the gradient of the log-density of the training data, which is then used to generate new images similar to the training ones. Following the inverse problem paradigm, we propose to adapt this generative process to synergistically reconstruct multipl…

This https://arxiv.org/abs/2310.14667 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Molecular integral equations theory in the near critical region of CO2
Environmental concerns advocate for greener yet efficient solvents. Supercritical CO2 (scCO2) is a promising candidate due to its non-toxicity and potential for reusing CO2 emissions. It also offers a versatile range of properties, finely tunable by pressure adjustments. This adaptability is exploited in chemical industry processes (separation, extraction). Developing new green processes using scCO2 requires an efficient predictive tool for the solvation properties under different conditions. E…

Muon Track Reconstruction in the Scintillator Phase of SNO
Jasmine Simms
https://arxiv.org/abs/2404.03680 https://arxiv.org/pdf/2404…

Muon Track Reconstruction in the Scintillator Phase of SNO+
The large depth of the SNO+ experiment (2070 m, 6010 m.w.e.) means that only a few muons per day pass through the detector. However, their high energy causes muon induced backgrounds which can affect multiple physics analyses. Reconstructing the muon track would allow for improved rejection for these induced backgrounds. Currently there is no muon tracker for the scintillator phase of SNO+. This poster presents a novel method of muon track reconstruction by using the high photon sampling from m…

Real Time Charged Track Reconstruction for CLAS12
Gagik Gavalian
https://arxiv.org/abs/2403.04020 https://arxiv.org/pdf/2403.04020

Real Time Charged Track Reconstruction for CLAS12
This paper presents the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use machine learning algorithms to reconstruct tracks, including their momentum and direction, with high accuracy from raw hits of the CLAS12 drift chambers. The reconstruction is performed in real-time, with the rate of data acquisition, and allows for the identification of event topologies in real-time. This approach revolutionizes the Nuclear Physics experimen…

4D Track Reconstruction on Free-Streaming Data at PANDA at FAIR
Jenny Taylor, Michael Papenbrock, Tobias Stockmanns, Ralf Kliemt, Tord Johansson, Adeel Akram, Karin Sch\"onning
https://arxiv.org/abs/2404.03667

4D Track Reconstruction on Free-Streaming Data at PANDA at FAIR
A new generation of experiments is being developed, where the challenge of separating rare signal processes from background at high intensities requires a change of trigger paradigm. At the future PANDA experiment at FAIR, hardware triggers will be abandoned and instead a purely software-based system will be used. This requires novel reconstruction methods with the ability to process data from many events simultaneously. A 4D tracking algorithm based on the cellular automaton has been develop…

This https://arxiv.org/abs/2310.16497 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Improving topological cluster reconstruction using calorimeter cell timing in ATLAS
Clusters of topologically connected calorimeter cells around cells with large absolute signal-to-noise ratio (topo-clusters) are the basis for calorimeter signal reconstruction in the ATLAS experiment. Topological cell clustering has proven performant in LHC Runs 1 and 2. It is, however, susceptible to out-of-time pile-up of signals from soft collisions outside the 25 ns proton-bunch-crossing window associated with the event's hard collision. To reduce this effect, a calorimeter-cell timing cri…