Yrast structures in the light Pt isotopes<sup>169–173</sup>Pt

Joss, D. T.; Simpson, John; Appelbe, D. E.; Lagergren, K.; Barton, C. J.; Cederwall, B.; Eeckhaudt, S.; Grahn, T.; Jones, P.; Julin, R.; Juutinen, S.; Hadinia, B.; Kettunen, H.; Leino, M.; Leppänen, A.‐P.; Nieminen, P.; Page, R. D.; Pakarinen, J.; Paul, E. S.; Perkowski, J.; Rahkila, P.; Riley, M. A.; Scholey, C.; Uusitalo, J.; Vel, K. Van de; Warner, D. D.; Wiseman, D. R.

doi:10.1088/0954-3899/31/10/060

Cited by 6 publications

(5 citation statements)

References 17 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…m D 0), which is consistent with RDSD observations at larger sample sizes approaching the scale of a radar volume (e.g. Joss and Gori 1978) and assigning N 0 D 8000 (Marshall and Palmer 1948). For these parameters the coef cients b and k are de ned as follows, where temperature (T / is in Kelvin, and pressure (P / in hPa: a D .T =P / 0:45 C 0:3401;…”

Section: (A) Derivation Of Vertical Air Velocity In Rainsupporting

confidence: 77%

“…Waldvogel (1974) examined the minute-to-minute variation of raindrop size distribution (RDSD, drops >0.3 mm diameter) characteristics derived from disdrometer data in the context of vertically pointing C-band radar. Joss and Gori (1978) showed that the characteristics of the RDSD varied with scale and tended to converge toward an exponential character for longer time periods of several hundred minutes. They hypothesized that precipitation at the scale of a typical scanning radar volume (»1 km 3 / consisted of a mixture of rain rates of different intensities.…”

Section: Structures and Scales Of Precipitation Variat Ionmentioning

confidence: 99%

See 1 more Smart Citation

Microphysical modes of precipitation growth determined by S‐band vertically pointing radar in orographic precipitation during MAP

Yuter

Houze

2003

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

High‐resolution vertically pointing S‐band Doppler radar data obtained within orographic rain by the University of Washington Orographic Precipitation Radar (OPRA) at Locarno‐Monti, Switzerland during the Mesoscale Alpine Programme (MAP) Intensive Observing Periods (IOPs) 2b and 8 are examined to characterize the fine‐scale precipitation structure. The relative roles of collection of cloud water by raindrops versus collection of cloud water by ice particles (riming) in the same column are assessed with a one‐dimensional (1D) Kessler water‐continuity model using the observed data characteristics as input. The OPRA data reveal nearly ubiquitous small‐scale fallstreaks each <5 minutes in duration occurring within a wide range of precipitation intensities. Periods of higher rain rates >10 minutes in duration associated with convective cells evident in coarser‐resolution data manifested as increased frequency and intensity of fallstreaks in the OPRA data. A subset of fallstreaks had sufficient magnitude in reflectivity to indicate a clear connection from the snow region, across the melting layer and into the rain region. The small‐scale inhomogeneities in microphysical structure associated with fallstreaks are likely to be associated with convective overturning in the unstable IOP 2b case. In the more stable IOP 8 case, shear‐driven turbulence near the melting layer, evident in truck‐borne and airborne X‐band Doppler‐radar data shown in companion studies, is a likely contributor to fallstreak formation. The vertical profile of vertical air velocity (w) is critical to understanding the relationship between collection and riming, and their contributions to precipitation efficiency. Characteristics of the w profile within precipitating cloud were estimated in both rain and snow using observed radar parameters from the OPRA data. In rain, reflectivity‐weighted fall speed was derived from observed reflectivity and assumptions about the raindrop size distribution. The derived fall velocity was subtracted from the observed Doppler radial velocity to estimate w in rain regions to within ∼1.5 m s−1. In snow regions, a lower bound on peak updraught velocity was estimated from the observed maximum Doppler velocity. For the data examined from MAP IOP 2b, typical peak updraught velocities at Locarno‐Monti were between 2 and 5 m s−1. These estimated peak updraught velocities were used to construct plausible parabolic profiles of w that were in turn used as input to a 1D Kessler water‐continuity model. Model output shows local maxima in the riming rate and mixing ratio of ice within 2 km of the freezing level, indicating a favourable environment for graupel formation. The location of this layer in the model is consistent with the observed occurrence of graupel in National Center for Atmospheric Research S‐Pol radar data in the IOP 2b storm in a companion study. The modelled rates of collection and riming are comparable, and both make significant contributions to the growth by accretion of precipitation within the storm updr...

show abstract

Section: (A) Derivation Of Vertical Air Velocity In Rainsupporting

confidence: 77%

Section: Structures and Scales Of Precipitation Variat Ionmentioning

confidence: 99%

Microphysical modes of precipitation growth determined by S‐band vertically pointing radar in orographic precipitation during MAP

Yuter

Houze

2003

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

show abstract

“…The lowest-lying negative-parity band in 166 Os (band 4) resembles those in nearby nuclei, which have been interpreted previously as structures arising from mixing with low-spin octupole vibrational bands [6,27,46,44]. The low collectivity measured in 166 Os could also allow band 4 to be interpreted in terms of a ν(i 13/2 ⊗ f 7/2 ) multiplet structure.…”

Section: Discussionmentioning

confidence: 54%

Single-particle and collective excitations in the transitional nucleus ¹⁶⁶Os

Stolze¹,

Grahn²,

Julin³

et al. 2021

J. Phys. G: Nucl. Part. Phys.

Self Cite

View full text Add to dashboard Cite

The mean lifetimes of the lowest energy 2 + , 8 + and 9 − states in 166 Os have been measured using the recoil distance Doppler-shift method in conjunction with a selective recoil-decay tagging technique. These measurements extend studies into the most neutron-deficient mass region accessible to current experimental methods. The B(E2; 2 + → 0 + ) = 7(2) W.u. extracted from these measurements is markedly lower than those observed in the heavier even-mass Os isotopes. The 8 + and 9 − states yield reduced transition probabilities that are consistent with single-particle transitions. While these values may indicate a departure from collective structure, the level scheme and the underlying nuclear configurations can also be interpreted in terms of a simple collective picture. This contrasting behaviour suggests an intriguing dichotomy in the description of heavy transitional nuclei.

show abstract

“…However, only one transition 17 2 + → 13 2 + was detected experimentally in 169 Pt. [14] Guided by the property of its neighbouring nuclei, we can predict several levels above 17/2…”

mentioning

confidence: 99%

“…On the other hand, yrast band based on the configuration 13/2 + has been established in odd-A 175,173,171 Pt nuclei, [13−15] but experimentally only one transition from 17/2 + to 13/2 + is detected in the extremely neutron deficient nucleus 169 Pt. [14] Besides studying the deformation feature of 177 Pt, we determine the deformation parameters (β, γ) of the odd-A nuclei 175,173,171 Pt by calculating their energy spectra and induce those of 169 Pt by extrapo-lating the trend of the neighbouring nuclei's. In turn, we propose a ground-state band with several low-lying states for 169 Pt in this study.…”

mentioning

confidence: 99%

Rotational Bands of Some Neutron Deficient Odd-A Pt Isotopes in Particle-Triaxial-Rotor Model

Liu

2008

Chinese Phys. Lett.

View full text Add to dashboard Cite

Theoretical calculations are performed for neutron deficient Pt isotopes 177Pt and 175,173,171Pt in the particle-triaxial-rotor model with variable moment of inertia. The obtained energy spectra agree with experimental data quite well. The calculated results indicate that all these nuclei are in triaxial rotation with177Pt being in prolate and 175,173,171 Pt in oblate. Several levels are predicted for the 13/2+band in 169Pt.

show abstract

Yrast structures in the light Pt isotopes^169–173Pt

Cited by 6 publications

References 17 publications

Microphysical modes of precipitation growth determined by S‐band vertically pointing radar in orographic precipitation during MAP

Microphysical modes of precipitation growth determined by S‐band vertically pointing radar in orographic precipitation during MAP

Single-particle and collective excitations in the transitional nucleus ¹⁶⁶Os

Rotational Bands of Some Neutron Deficient Odd-A Pt Isotopes in Particle-Triaxial-Rotor Model

Contact Info

Product

Resources

About

Yrast structures in the light Pt isotopes169–173Pt

Cited by 6 publications

References 17 publications

Microphysical modes of precipitation growth determined by S‐band vertically pointing radar in orographic precipitation during MAP

Microphysical modes of precipitation growth determined by S‐band vertically pointing radar in orographic precipitation during MAP

Single-particle and collective excitations in the transitional nucleus 166Os

Rotational Bands of Some Neutron Deficient Odd-A Pt Isotopes in Particle-Triaxial-Rotor Model

Contact Info

Product

Resources

About

Yrast structures in the light Pt isotopes^169–173Pt

Single-particle and collective excitations in the transitional nucleus ¹⁶⁶Os