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Refining Big Bang Nucleosynthesis abundances via the Trojan Horse method.

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Title: Refining Big Bang Nucleosynthesis abundances via the Trojan Horse method.
Authors: Spartà, Roberta1,2 (AUTHOR) rsparta@lns.infn.it, Pizzone, Rosario Gianluca2,3 (AUTHOR), Lamia, Livio2,3,4 (AUTHOR), Oliva, Alessandro Alberto2 (AUTHOR), La Cognata, Marco2 (AUTHOR), Di Pietro, Alessia2 (AUTHOR), Figuera, Pierpaolo2 (AUTHOR), Guardo, Giovanni Luca2 (AUTHOR), La Commara, Marco5,6 (AUTHOR), Lattuada, Dario1,2 (AUTHOR), Mazzocco, Marco7,8 (AUTHOR), Palmerini, Sara9,10 (AUTHOR), Rapisarda, Giuseppe Gabriele2,3 (AUTHOR), Romano, Stefano2,3,4 (AUTHOR), Sergi, Maria Letizia2,3 (AUTHOR), Tumino, Aurora1,2 (AUTHOR)
Source: European Physical Journal A -- Hadrons & Nuclei. Apr2025, Vol. 61 Issue 4, p1-8. 8p.
Subjects: Nuclear cross sections, Nucleosynthesis, Deuterium
Abstract: This work presents the Trojan Horse Method (THM) as a powerful technique for measuring nuclear reaction cross sections at astrophysical energies. We then explore the impact of THM-derived reaction rates on the predictions of Standard Big Bang Nucleosynthesis (SBBN) using the PRIMAT code. Primordial abundances are shown for the single rate impact and, for the first time, also for all the THM rates together. The result shows significant differences with the use of THM rates, which in some cases goes in the direction of improving the agreement with the observations with respect to the use of only reaction rates from direct data, especially for the 7 Li and deuterium abundances, which are still open issues for SBBN. [ABSTRACT FROM AUTHOR]
Copyright of European Physical Journal A -- Hadrons & Nuclei is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Refining Big Bang Nucleosynthesis abundances via the Trojan Horse method.
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  Data: <searchLink fieldCode="AR" term="%22Spartà%2C+Roberta%22">Spartà, Roberta</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> rsparta@lns.infn.it</i><br /><searchLink fieldCode="AR" term="%22Pizzone%2C+Rosario+Gianluca%22">Pizzone, Rosario Gianluca</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lamia%2C+Livio%22">Lamia, Livio</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oliva%2C+Alessandro+Alberto%22">Oliva, Alessandro Alberto</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22La+Cognata%2C+Marco%22">La Cognata, Marco</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Di+Pietro%2C+Alessia%22">Di Pietro, Alessia</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Figuera%2C+Pierpaolo%22">Figuera, Pierpaolo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guardo%2C+Giovanni+Luca%22">Guardo, Giovanni Luca</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22La+Commara%2C+Marco%22">La Commara, Marco</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lattuada%2C+Dario%22">Lattuada, Dario</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mazzocco%2C+Marco%22">Mazzocco, Marco</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Palmerini%2C+Sara%22">Palmerini, Sara</searchLink><relatesTo>9,10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rapisarda%2C+Giuseppe+Gabriele%22">Rapisarda, Giuseppe Gabriele</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Romano%2C+Stefano%22">Romano, Stefano</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sergi%2C+Maria+Letizia%22">Sergi, Maria Letizia</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tumino%2C+Aurora%22">Tumino, Aurora</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Physical+Journal+A+--+Hadrons+%26+Nuclei%22">European Physical Journal A -- Hadrons & Nuclei</searchLink>. Apr2025, Vol. 61 Issue 4, p1-8. 8p.
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  Label: Abstract
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  Data: This work presents the Trojan Horse Method (THM) as a powerful technique for measuring nuclear reaction cross sections at astrophysical energies. We then explore the impact of THM-derived reaction rates on the predictions of Standard Big Bang Nucleosynthesis (SBBN) using the PRIMAT code. Primordial abundances are shown for the single rate impact and, for the first time, also for all the THM rates together. The result shows significant differences with the use of THM rates, which in some cases goes in the direction of improving the agreement with the observations with respect to the use of only reaction rates from direct data, especially for the 7 Li and deuterium abundances, which are still open issues for SBBN. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Physical Journal A -- Hadrons & Nuclei is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1140/epja/s10050-025-01546-0
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      – SubjectFull: Deuterium
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