Precision mass measurements of short-lived nuclides at HIRFL-CSR in Lanzhou

Sun, Mingze; Zhou, X. H.; Wang, Meng; Zhang, Yuhu; Litvinov, Yu. A.

doi:10.1007/s11467-018-0844-5

Cited by 11 publications

(4 citation statements)

References 109 publications

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“…where , C and τ are free parameters, and minimizes odd-even staggering in the fragment distributions. This has been shown to be well obeyed by both neutron-rich [45] and neutron-deficient fragments [43,95,96], which provides an empirical approach to study the properties of recently produced neutron-deficient rare isotopes [97][98][99] and the validity of model predictions.…”

Section: Resultsmentioning

confidence: 95%

Precise machine learning models for fragment production in projectile fragmentation reactions using Bayesian neural networks *

Wei

Chen

et al. 2022

Chinese Phys. C

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The machine learning models are constructed to predict the fragment production cross sections in projectile fragmentation (PF) reactions using the Bayesian neural network (BNN) techniques. The massive learning for the BNN models is based on the 6393 fragments from 53 measured projectile fragmentation reactions. A direct BNN model and a physical guiding BNN by FRACS parametrization (BNN + FRACS) model have been constructed to predict the fragment cross section in projectile fragmentation reactions. It is verified that the BNN and BNN + FRACS models can well reproduce the wide range of fragment production in PF reactions with incident energy from 40 MeV/u to 1 GeV/u, reaction systems of projectile nucleus from $^{40}$Ar to $^{208}$Pb and various target nucleus. The high precision of the BNN and BNN + FRACS models makes them applicable in the low production rate of extreme rare isotopes in the future PF reactions with large asymmetry of projectile nucleus in the main new generation of radioactive nuclear beam factories.

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Section: Resultsmentioning

confidence: 95%

Precise machine learning models for fragment production in projectile fragmentation reactions using Bayesian neural networks *

Wei

Chen

et al. 2022

Chinese Phys. C

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“…Using IMS at the CSRe, we measured the masses of more than 30 short-lived nuclei [22][23][24][25][26][27][28][29][30][31][32]. For a recent review, the reader is referred to Refs.…”

Section: Introductionmentioning

confidence: 99%

“…For a recent review, the reader is referred to Refs. [5,6,27] and the references cited therein. In these experiments, the ions were identified almost solely through their m/q ratios by comparing the revolution time spectrum obtained experimentally with the simulated one [14,15].…”

Section: Introductionmentioning

confidence: 99%

Charge resolution in the isochronous mass spectrometry and the mass of $$^{51}$$Co

et al. 2021

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Isochronous mass spectrometry (IMS) of heavyion storage rings is a powerful tool for the mass measurements of short-lived nuclei. In IMS experiments, masses are determined through precision measurements of the revolution times of the ions stored in the ring. However, the revolution times cannot be resolved for particles with nearly the same mass-to-charge (m/q) ratios. To overcome this limitation and to extract the accurate revolution times for such pairs of ion species with very close m/q ratios, in our early work on particle identification, we analyzed the amplitudes of the timing signals from the detector based on the emission of secondary electrons. Here, the previous data analysis method is further improved by considering the signal amplitudes, detection efficiencies, and number of stored ions in the ring. A sensitive Z-dependent parameter is introduced in the data analysis, leading to a better resolution of 34 Ar 18þ and 51 Co 27þ with A=Z ¼ 17=9. The mean revolution times of 34 Ar 18þ and 51 Co 27þ are deduced, although their time difference is merely 1.8 ps. The uncorrected, overlapped peak of these ions has a full width at half maximum of 7.7 ps. The mass excess of 51 Co was determined to be À27;332ð41Þ keV, which is in agreement with the previous value of À27;342ð48Þ keV.

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“…In the last two decades, numerous experiments on nuclear structure and astrophysics studies have been performed using heavy-ion storage rings coupled with in-flight fragment separators [1][2][3]. These operating ion storage ring facilities are currently located at GSI/Germany [4], IMP/China [5], and RIKEN/Japan [6].…”

Section: Introductionmentioning

confidence: 99%

Electrostatic-lenses position-sensitive TOF MCP detector for beam diagnostics and new scheme for mass measurements at HIAF

et al. 2019

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A foil-microchannel plate (MCP) detector, which uses electrostatic lenses and possesses both good position and timing resolutions, has been designed and simulated for beam diagnostics and mass measurements at the next-generation heavy-ion-beam facility HIAF in China. Characterized by low energy loss and good performances of timing and position measurements, it would be located at focal planes in fragment separator HFRS for position monitoring, beam turning, Bρ measurement, and trajectory reconstruction. Moreover, it will benefit the building-up of a magnetic-rigidity-energy-loss-time-of-flight (Bρ-∆E-TOF) method at HFRS for high-precision in-flight particle identification (PID) of radioactive isotope (RI) beams on an event-by-event basis. Most importantly, the detector can be utilized for in-ring TOF and position measurements, beam-line TOF measurements at two achromatic foci, and position measurements at a dispersive focus of HFRS, thus making it possible to use two complementary mass measurement methods (isochronous mass spectrometry (IMS) at the storage ring SRing and magnetic-rigidity-time-of-flight (Bρ-TOF) at the beam-line HFRS) in one single experimental run.

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Precision mass measurements of short-lived nuclides at HIRFL-CSR in Lanzhou

Cited by 11 publications

References 109 publications

Precise machine learning models for fragment production in projectile fragmentation reactions using Bayesian neural networks *

Precise machine learning models for fragment production in projectile fragmentation reactions using Bayesian neural networks *

Charge resolution in the isochronous mass spectrometry and the mass of $$^{51}$$Co

Electrostatic-lenses position-sensitive TOF MCP detector for beam diagnostics and new scheme for mass measurements at HIAF

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