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HISPEC-DESPEC Collaboration (Polettini, M. et al); Algora, A.; Morales, A.I.; Orrigo, S.E.A. |
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Title |
Decay studies in the A similar to 225 Po-Fr region from the DESPEC campaign at GSI in 2021 |
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Journal Article |
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Year |
2022 |
Publication |
Nuovo Cimento C |
Abbreviated Journal |
Nuovo Cim. C |
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Volume |
45 |
Issue |
5 |
Pages |
125 - 4pp |
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Abstract |
The HISPEC-DESPEC collaboration aims at investigating the struc-ture of exotic nuclei formed in fragmentation reactions with decay spectroscopymeasurements, as part of the FAIR Phase-0 campaign at GSI. This paper reportson first results of an experiment performed in spring 2021, with a focus on beta-decaystudies in the Po-Fr nuclei in the 220 < A <230 island of octupole deformationexploiting the DESPEC setup. Ion-beta correlations and fast-timing techniques arebeing employed, giving an insight into this difficult-to-reach region. |
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Address |
[Polettini, M.; Benzoni, G.; Genna, D.; Bracco, A.; Bottoni, S.; Camera, F.; Crespi, F. C. L.; Gamba, E. R.; Leoni, S.; Million, B.; Porzio, C.; Wieland, O.; Ziliani, S.] Univ Milan, Dipartimento Fis, Milan, Italy |
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Soc Italiana Fisica |
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English |
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2037-4909 |
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Notes |
WOS:000819174100001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5292 |
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Author |
Capra, S. et al; Gadea, A. |
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Title |
GALTRACE: A highly segmented silicon detector array for charged particle spectroscopy and discrimination |
Type |
Journal Article |
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Year |
2022 |
Publication |
Nuovo Cimento C |
Abbreviated Journal |
Nuovo Cim. C |
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Volume |
45 |
Issue |
5 |
Pages |
98 - 4pp |
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Abstract |
GALTRACE is an array of segmented silicon detectors specifically built to work as an ancillary of the GALILEO gamma-ray spectrometer at Legnaro National Laboratory of INFN. GALTRACE consists of four telescopic Delta E-Edetectors which allow discriminating light charged particles also via pulse-shape analysis techniques. The good angular and energy resolutions, together with particle discrimination capabilities, make GALTRACE suitable for experiments where coincidences with specific emitted particles allow for the selection of reaction channels with very low cross section. The first in-beam experiment is reported here, aiming at identifying a narrow resonance, near-proton-threshold state in B-11, currently under discussion. |
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Address |
[Capra, S.; Ziliani, S.; LEONI, S.; PULLIA, A.; BOTTONI, S.; CAMERA, F.; CRESPI, F. C. L.; GAMBA, E.; MILLION, B.; POLETTINI, M.] Univ Milan, Milan, Italy |
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Soc Italiana Fisica |
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English |
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ISSN |
2037-4909 |
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Notes |
WOS:000819587500001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5282 |
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Author |
Albiol, A.; Albiol, F.; Paredes, R.; Plasencia-Martinez, J.M.; Blanco Barrio, A.; Garcia Santos, J.M.; Tortajada, S.; Gonzalez Montano, V.M.; Rodriguez Godoy, C.E.; Fernandez Gomez, S.; Oliver-Garcia, E.; de la Iglesia Vaya, M.; Marquez Perez, F.L.; Rayo Madrid, J.I. |
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Title |
A comparison of Covid-19 early detection between convolutional neural networks and radiologists |
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Journal Article |
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Year |
2022 |
Publication |
Insights into Imaging |
Abbreviated Journal |
Insights Imaging |
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Volume |
13 |
Issue |
1 |
Pages |
122 - 12pp |
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Keywords |
Deep learning; Covid-19; Radiology |
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Abstract |
Background The role of chest radiography in COVID-19 disease has changed since the beginning of the pandemic from a diagnostic tool when microbiological resources were scarce to a different one focused on detecting and monitoring COVID-19 lung involvement. Using chest radiographs, early detection of the disease is still helpful in resource-poor environments. However, the sensitivity of a chest radiograph for diagnosing COVID-19 is modest, even for expert radiologists. In this paper, the performance of a deep learning algorithm on the first clinical encounter is evaluated and compared with a group of radiologists with different years of experience. Methods The algorithm uses an ensemble of four deep convolutional networks, Ensemble4Covid, trained to detect COVID-19 on frontal chest radiographs. The algorithm was tested using images from the first clinical encounter of positive and negative cases. Its performance was compared with five radiologists on a smaller test subset of patients. The algorithm's performance was also validated using the public dataset COVIDx. Results Compared to the consensus of five radiologists, the Ensemble4Covid model achieved an AUC of 0.85, whereas the radiologists achieved an AUC of 0.71. Compared with other state-of-the-art models, the performance of a single model of our ensemble achieved nonsignificant differences in the public dataset COVIDx. Conclusion The results show that the use of images from the first clinical encounter significantly drops the detection performance of COVID-19. The performance of our Ensemble4Covid under these challenging conditions is considerably higher compared to a consensus of five radiologists. Artificial intelligence can be used for the fast diagnosis of COVID-19. |
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Address |
[Albiol, Alberto] Univ Politecn Valencia, iTeam Inst, ETSI Telecomunicac, Camino Vera S-N, Valencia 46022, Spain, Email: alalbiol@iteam.upv.es |
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Springer |
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English |
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ISSN |
1869-4101 |
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Notes |
WOS:000832727200003 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
no |
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Call Number |
IFIC @ pastor @ |
Serial |
5302 |
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Author |
n_TOF Collaboration (Lederer-Woods, C. et al); Domingo-Pardo, C.; Tain, J.L.; Tarifeño-Saldivia, A. |
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Title |
Ge-74(n, gamma) cross section below 70 keV measured at n_TOF CERN |
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Journal Article |
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Year |
2022 |
Publication |
European Physical Journal A |
Abbreviated Journal |
Eur. Phys. J. A |
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Volume |
58 |
Issue |
12 |
Pages |
239 - 9pp |
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Abstract |
Neutron capture reaction cross sections on Ge-74 are of importance to determine Ge-74 production during the astrophysical slow neutron capture process. We present new resonance data on Ge-74(n, gamma ) reactions below 70 keV neutron energy. We calculate Maxwellian averaged cross sections, combining our data below 70 keV with evaluated cross sections at higher neutron energies. Our stellar cross sections are in agreement with a previous activation measurement performed at Forschungszentrum Karlsruhe by Marganiec et al., once their data has been re-normalised to account for an update in the reference cross section used in that experiment. |
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Address |
[Lederer-Woods, C.; Lonsdale, S. J.; Woods, P. J.] Univ Edinburgh, Sch Phys & Astron, Edinburgh, Midlothian, Scotland, Email: claudia.lederer-woods@ed.ac.uk |
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Publisher |
Springer |
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English |
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ISSN |
1434-6001 |
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Notes |
WOS:000913761400001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5472 |
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Author |
R3B Collaboration (Heil, M. et al); Nacher, E. |
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Title |
A new Time-of-flight detector for the (RB)-B-3 setup |
Type |
Journal Article |
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Year |
2022 |
Publication |
European Physical Journal A |
Abbreviated Journal |
Eur. Phys. J. A |
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Volume |
58 |
Issue |
12 |
Pages |
248 - 19pp |
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Abstract |
We present the design, prototype developments and test results of the new time-of-flight detector (ToFD) which is part of the R3B experimental setup at GSI and FAIR, Darmstadt, Germany. The ToFD detector is able to detect heavy-ion residues of all charges at relativistic energies with a relative energy precision sigma_Delta E/Delta E of up to 1% and a time precision of up to 14 ps (sigma). Together with an elaborate particle-tracking system, the full identification of relativistic ions from hydrogen up to uranium in mass and nuclear charge is possible. |
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[Heil, M.; Kelic-Heil, A.; Aumann, T.; Boretzky, K.; Caesar, C.; Fruehauf, J.; Glorius, J.; Heggen, H.; Kiselev, O.; Koch, K.; Koerper, D.; Kurz, N.; Loeher, B.; Litvinov, Y.; Rossi, D.; Savran, D.; Simon, H.; Toernqvist, H. T.; Varga, L.; Wamers, F.] GSI Helmholtzzentrum Schwerionenforsch, Planckstr 1, D-64291 Darmstadt, Germany, Email: M.Heil@gsi.de |
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Publisher |
Springer |
Place of Publication |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1434-6001 |
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Conference |
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Notes |
WOS:000901484400002 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5456 |
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