Study of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0020.gif" overflow="scroll"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>α</mml:mi><mml:mo>,</mml:mo><mml:mi>p</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0021.gif" overflow="scroll"><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>α</mml:mi><mml:mo>,</mml:mo><mml:mi>n</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:

Avila, M. L.; Rehm, K. E.; Almaraz-Calderon, S.; Ayangeakaa, A. D.; Dickerson, Clayton; Hoffman, C. R.; Jiang, C. L.; Kay, B. P.; Lai, J.; Nusair, O.; Pardo, R. C.; Santiago-Gonzalez, D.; Talwar, R.; Ugalde, C.

doi:10.1016/j.nima.2017.03.060

Cited by 22 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Having been applied before for a study of the 23 Na(α,p) 26 Mg and 23 Na(α,n) 26 Al reactions [25], this technique is explained in more detail in Ref. [28].…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

Experimental study of Ar38+α reaction cross sections relevant to the Ca41 abundance in the solar system

et al. 2018

Self Cite

View full text Add to dashboard Cite

In massive stars, the 41 Ca(n, α) 38 Ar and 41 K(p, α) 38 Ar reactions have been identified as the key reactions governing the abundance of 41 Ca, which is considered as a potential chronometer for Solar-System formation. So far, due to experimental limitations, the 41 Ca(n, α) 38 Ar reaction rate is solely based on statistical model calculations. In the present study, we have measured the time-inverse 38 Ar(α, n) 41 Ca and 38 Ar(α, p) 41 K reactions using an active target detector. The reactions were studied in inverse kinematics using a 133-MeV 38 Ar beam and 4 He as the active-gas target. Both excitation functions were measured simultaneously in the energy range of 6.8 ≤ Ec.m. ≤ 9.3 MeV. Using detailed balance the 41 Ca(n, α) 38 Ar and 41 K(p, α) 38 Ar reaction rates were determined which suggested a 20% increase in the 41 Ca yield from massive stars.

show abstract

“…Having been applied before for a study of the 23 Na(α,p) 26 Mg and 23 Na(α,n) 26 Al reactions [25], this technique is explained in more detail in Ref. [28].…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

Experimental study of Ar38+α reaction cross sections relevant to the Ca41 abundance in the solar system

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…MUSIC is an active-target gas-filled ionization chamber, where the gas serves as both target and detection material. The MUSIC detector has been used to measure excitation functions of heavy-ion fusion reactions [6,4] and to measure (α, p) and (α, n) reaction cross sections in inverse kinematics [5,7,8,9], involving stable and radioactive beams. For the (α, p) and (α, n) reactions, cross sections down to 1 mb have been measured.…”

Section: The Music Detector and Its Data Structurementioning

confidence: 99%

“…This reduces the number of dimensions of an event from 34 to 18. For a more detailed description of the detector and the standard data analysis technique, see [6,5].…”

Section: The Music Detector and Its Data Structurementioning

confidence: 99%

“…In this paper we present a method for the classification of data obtained from MUSIC, an active-target detector specializing in cross-section measurements of various nuclear reactions such as fusion [4] and α-induced reactions [5].…”

Section: Introductionmentioning

confidence: 99%

“…In the second data set, α-induced reactions on Oxygen-17 ( 17 O) nuclei were studied. The 17 O data was previously classified with standard techniques, and those results are published in [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Classification of events from $α$-induced reactions in the MUSIC detector via statistical and ML methods

Krishnan¹,

Avila²,

Balaprakash³

et al. 2022

Preprint

View full text Add to dashboard Cite

The Multi-Sampling Ionization Chamber (MUSIC) detector is typically used to measure nuclear reaction cross sections relevant for nuclear astrophysics, fusion studies, and other applications. From the MUSIC data produced in one experiment scientists carefully extract an order of 10 3 events of interest from about 10 9 total events, where each event can be represented by an 18-dimensional vector. However, the standard data classification process is based on expertdriven, manually intensive data analysis techniques that require several months to identify patterns and classify the relevant events from the collected data. To address this issue, we present a method for the classification of events originating from specific α-induced reactions by combining statistical and machine learning methods that require significantly less input from the domain scientist, relative to the standard technique. We applied the new method to two experimental data sets and compared our results with those obtained using traditional methods. With few exceptions, the number of events classified by our method agrees within ±20% with the results obtained using traditional methods. With the present method, which is the first of its kind for the MUSIC data, we have established the foundation for the automated extraction of physical events of interest from experiments using the MUSIC detector.

show abstract