High precision measurement of the 151Sm beta decay by means of a metallic magnetic calorimeter

Kossert, Karsten; Loidl, M.; Mougeot, X.; Paulsen, Michael; Ranitzsch, P. C.-O.; Rodrigues, M.

doi:10.1016/j.apradiso.2022.110237

Cited by 12 publications

(4 citation statements)

References 43 publications

(51 reference statements)

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“…Only three transitions are known: 6 + to 2 + in 50 V EC decay, with log f t=24.338(37) (highest log f t value in the present survey), 1/2 + to 9/2 + in 113 Cd β − decay with log f t values of 22.8060 (38), and 9/2 + to 1/2 + in 115 In β − decay with log f t value of 22.991 (25), based on which, one can perhaps set a lower limit of log f t=22 for such transitions.…”

Section: ) Fourth Forbidden Non-unique Transitionsmentioning

confidence: 64%

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Systematics of Log Ft Values for Β-, and Ec/Β+ Transitions

Turkat,

Mougeot,

Singh

et al. 2023

SSRN Journal

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Section: ) Fourth Forbidden Non-unique Transitionsmentioning

confidence: 64%

“…Nevertheless, accuracy of this modeling is quite uncertain below 5 keV in the general case. Strong decrease can be observed for some elements [38], such an effect having been recently questioned [39]. Prediction quality for ultra-low Q-value transitions is thus not guaranteed.…”

Section: Improved Atomic Correctionsmentioning

confidence: 99%

Systematics of Log Ft Values for Β-, and Ec/Β+ Transitions

Turkat,

Mougeot,

Singh

et al. 2023

SSRN Journal

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“…The ultra-high current is the key factor for the magnetometer to identify seabed cables [71]. The high-precision marine magnetometer can also identify the damaged location according to the magnetic field detection effect, and improve the safety of seafloor engineering construction [72].…”

Section: Magnetic Detectionmentioning

confidence: 99%

Sonar image intelligent processing in seabed pipeline detection: review and application

Shi,

Cao,

et al. 2024

Meas. Sci. Technol.

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Subsea pipelines rely primarily on imaging sonar for detection and identification. We analyze the imaging principles of side scan sonar, multi-beam sonar, synthetic aperture sonar, seafloor penetrating sonar and forward-looking sonar. We discuss their effectiveness in detecting seabed pipelines, as well as their limitations in image recognition capabilities. As intelligent algorithms have become increasingly important in the field of image processing, we review the sonar image intelligent detection and recognition algorithms in the past six years and summarize the internal principles and application effects of classic algorithms such as SIFT (Scale-Invariant Feature Transform), KMA (K-means algorithm), and CFAR (Constant False-Alarm Rate) that currently show good application prospects. Simultaneously, we review the particular strengths exhibited by these algorithms, such as contour feature extraction, image segmentation and clustering, target recognition under background noise, etc. The research on intelligent processing of sonar images opens up a new way to solve the difficult problem of the seabed targets detection and recognition.

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“…The Fermi function ( , ) accounts for the static Coulomb field generated by the nucleus, while ( , ) stands for the radiative corrections and ( , ) for the atomic overlap correction. Recently, a specific version of this code has been developed to include realistic nuclear structure information for the study of the first forbidden non-unique transitions in 151 Sm decay [15]. However as shown in [10], many more high-precision measurements of β spectra would be necessary to constrain and validate the theoretical predictions.…”

Section: Introductionmentioning

confidence: 99%