18-22 May 2026
NRF-iThemba LABS, Old Faure Road, Cape Town
Africa/Johannesburg timezone

Extraction of Giant Monopole Resonance strength with Multipole Decomposition Analysis

Not scheduled
20m
Auditorium (NRF-iThemba LABS, Old Faure Road, Cape Town)

Auditorium

NRF-iThemba LABS, Old Faure Road, Cape Town

NRF-iThemba LABS Old Faure Road Cape Town GPS Co-ordinates 34.025°S 18.716°E
Oral Nuclear Structure Studies

Speaker

Lesedi Jafta (iThemba LABS)

Description

It has been established that inelastic alpha scattering at a few hundreds MeV, particularly at very forward scattering angles including 0◦, is effective for probing the Isoscalar Giant Monopole Resonance (ISGMR) strength distribution (E0) in atomic nuclei. Two previous studies on the evolution of the ISGMR in the even-even 40,42,44,48Ca isotopes were conducted at two different facilities: the Research Center for Nuclear Physics (RCNP) and the Texas A&M University Cyclotron Institute (TAMU). These studies produced conflicting results regarding the systematic trend of nuclear incompressibility across the calcium isotopic chain under investigation.

In response, the iThemba LABS group conducted an independent study of the same
isotopes to investigate the potential origins of these discrepancies. Measurements
were carried out at 0◦ and 4◦ scattering angles, and an energy-dependent version of the difference-of-spectra (DoS) method was initially employed. While this method offers high energy resolution, it relies on the strength contributions of all L ≥ 0 multipolarity components published in the literature, thereby compromising the independence of our results. To address this, Multipole Decomposition Analysis (MDA) was applied to extract the E0 strength distributions. Although the limited angular range may reduce the precision for higher multipolarity strengths, it does allow for the accurate extraction of the E0 component independently of other studies.

Two MDA methods were used in the analysis: the emcee Python code, which employs the sophisticated Markov Chain Monte Carlo (MCMC) sampling algorithm,
and a second MDA method is based on the MINUIT algorithm, implemented within
the ROOT data analysis framework. Selected results obtained using both methods
will be presented at the workshop.

This research work is supported by the National Research Foundation (ref no:
PMDS22062727817).

Primary authors

Lesedi Jafta (iThemba LABS) Retief Neveling (iThemba LABS) Lindsay Donaldson (iThemba Laboratory for Accelerator Based Sciences) Smarajit Triambak (University of Western Cape) thuthukile khumalo (iThemba LABS) Luna Pellegri (University of the Witwatersrand and iThemba LABS) Iyabo Usman (University of the Witwatersrand) Armand Bahini (University of Caen Normandie / Laboratoire de Physique Corpusculaire Caen (LPC Caen)) Johann Wiggert Brummer (iThemba LABS) Harshna Jivan (University of the Witwatersrand) Pete Jones (iThemba LABS) SANDILE JONGILE (UNIVERSITY OF ZULULAND) Kevin Li (Stellenbosch Postgraduate Student) Ricky Smit (iThemba LABS) Deon Steyn (iThemba LABS)

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