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Author |
Caputo, A.; Regis, M.; Taoso, M. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Searching for sterile neutrino with X-ray intensity mapping |
Type |
Journal Article |
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Year |
2020 |
Publication |
Journal of Cosmology and Astroparticle Physics |
Abbreviated Journal |
J. Cosmol. Astropart. Phys. |
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Volume |
03 |
Issue |
3 |
Pages |
001 - 21pp |
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Keywords |
X-ray telescopes; dark matter experiments; dark matter theory; power spectrum |
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Abstract |
The cosmological X-ray emission associated to the possible radiative decay of sterile neutrinos is composed by a collection of lines at different energies. For a given mass, each line corresponds to a given redshift. In this work, we cross correlate such line emission with catalogs of galaxies tracing the dark matter distribution at different redshifts. We derive observational prospects by correlating the X-ray sky that will be probed by the eROSITA and Athena missions with current and near future photometric and spectroscopic galaxy surveys. A relevant and unexplored fraction of the parameter space of sterile neutrinos can be probed by this technique. |
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Address |
[Caputo, Andrea] Univ Valencia, CSIC, Inst Fis Corpuscular, Apartado Correos 22085, E-46071 Valencia, Spain, Email: andrea.caputo@uv.es; |
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Publisher |
Iop Publishing Ltd |
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English |
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ISSN |
1475-7516 |
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Conference |
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Notes |
WOS:000528029100002 |
Approved |
no |
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Is ISI |
yes |
International Collaboration ![sorted by International Collaboration field, descending order (down)](img/sort_desc.gif) |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
4385 |
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Permanent link to this record |
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Author |
ANTARES Collaboration (Albert, A. et al); Colomer, M.; Gozzini, R.; Hernandez-Rey, J.J.; Illuminati, G.; Khan-Chowdhury, N.R.; Manczak, J.; Thakore, T.; Zornoza, J.D.; Zuñiga, J. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Search for dark matter towards the Galactic Centre with 11 years of ANTARES data |
Type |
Journal Article |
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Year |
2020 |
Publication |
Physics Letters B |
Abbreviated Journal |
Phys. Lett. B |
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Volume |
805 |
Issue |
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Pages |
135439 - 6pp |
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Keywords |
Dark matter indirect detection; Neutrino telescope; Galactic Centre; ANTARES |
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Abstract |
Neutrino detectors participate in the indirect search for the fundamental constituents of dark matter (DM) in form of weakly interacting massive particles (WIMPs). In WIMP scenarios, candidate DM particles can pair-annihilate into Standard Model products, yielding considerable fluxes of high-energy neutrinos. A detector like ANTARES, located in the Northern Hemisphere, is able to perform a complementary search looking towards the Galactic Centre, where a high density of dark matter is thought to accumulate. Both this directional information and the spectral features of annihilating DM pairs are entered into an unbinned likelihood method to scan the data set in search for DM-like signals in ANTARES data. Results obtained upon unblinding 3170 days of data reconstructed with updated methods are presented, which provides a larger, and more accurate, data set than a previously published result using 2101 days. A non-observation of dark matter is converted into limits on the velocity-averaged cross section for WIMP pair annihilation. |
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Address |
[Albert, A.; Drouhin, D.; Ruiz, R. Gracia; Organokov, M.; Pradier, T.] Univ Strasbourg, CNRS, IPHC, UMR 7178, F-67000 Strasbourg, France, Email: srgozzini@km3net.de |
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Publisher |
Elsevier |
Place of Publication |
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Language |
English |
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ISSN |
0370-2693 |
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Conference |
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Notes |
WOS:000541379800026 |
Approved |
no |
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Is ISI |
yes |
International Collaboration ![sorted by International Collaboration field, descending order (down)](img/sort_desc.gif) |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
4439 |
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Author |
Melcon, A.A.; Cuendis, S.A.; Cogollos, C.; Diaz-Morcillo, A.; Dobrich, B.; Gallego, J.D.; Barcelo, J.M.G.; Gimeno, B.; Golm, J.; Irastorza, I.G.; Lozano-Guerrero, A.J.; Malbrunot, C.; Millar, A.; Navarro, P.; Garay, C.P.; Redondo, J.; Wuensch, W. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Scalable haloscopes for axion dark matter detection in the 30 μeV range with RADES |
Type |
Journal Article |
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Year |
2020 |
Publication |
Journal of High Energy Physics |
Abbreviated Journal |
J. High Energy Phys. |
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Volume |
07 |
Issue |
7 |
Pages |
084 - 28pp |
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Keywords |
Dark matter; Dark Matter and Double Beta Decay (experiments) |
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Abstract |
RADES (Relic Axion Detector Exploratory Setup) is a project with the goal of directly searching for axion dark matter above the 30 μeV scale employing custom-made microwave filters in magnetic dipole fields. Currently RADES is taking data at the LHC dipole of the CAST experiment. In the long term, the RADES cavities are envisioned to take data in the BabyIAXO magnet. In this article we report on the modelling, building and characterisation of an optimised microwave-filter design with alternating irises that exploits maximal coupling to axions while being scalable in length without suffering from mode-mixing. We develop the mathematical formalism and theoretical study which justifies the performance of the chosen design. We also point towards the applicability of this formalism to optimise the MADMAX dielectric haloscopes. |
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Address |
[Alvarez Melcon, A.; Diaz-Morcillo, A.; Garcia Barcelo, J. M.; Lozano-Guerrero, A. J.; Navarro, P.] Tech Univ Cartagena, Dept Informat & Commun Technol, Murcia 30203, Spain, Email: alejandro.alvarez@upct.es; |
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Corporate Author |
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Thesis |
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Publisher |
Springer |
Place of Publication |
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Editor |
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Language |
English |
Summary Language |
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Series Editor |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1029-8479 |
ISBN |
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Area |
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Expedition |
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Conference |
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Notes |
WOS:000553158400002 |
Approved |
no |
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Is ISI |
yes |
International Collaboration ![sorted by International Collaboration field, descending order (down)](img/sort_desc.gif) |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
4478 |
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Permanent link to this record |
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Author |
Khosa, C.K.; Mars, L.; Richards, J.; Sanz, V. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Convolutional neural networks for direct detection of dark matter |
Type |
Journal Article |
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Year |
2020 |
Publication |
Journal of Physics G |
Abbreviated Journal |
J. Phys. G |
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Volume |
47 |
Issue |
9 |
Pages |
095201 - 20pp |
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Keywords |
dark matter; dark matter detection; neural networks; xenon1T; WIMPs |
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Abstract |
The XENON1T experiment uses a time projection chamber (TPC) with liquid xenon to search for weakly interacting massive particles (WIMPs), a proposed dark matter particle, via direct detection. As this experiment relies on capturing rare events, the focus is on achieving a high recall of WIMP events. Hence the ability to distinguish between WIMP and the background is extremely important. To accomplish this, we suggest using convolutional neural networks (CNNs); a machine learning procedure mainly used in image recognition tasks. To explore this technique we use XENON collaboration open-source software to simulate the TPC graphical output of dark matter signals and main backgrounds. A CNN turns out to be a suitable tool for this purpose, as it can identify features in the images that differentiate the two types of events without the need to manipulate or remove data in order to focus on a particular region of the detector. We find that the CNN can distinguish between the dominant background events (ER) and 500 GeV WIMP events with a recall of 93.4%, precision of 81.2% and an accuracy of 87.2%. |
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Address |
[Khosa, Charanjit K.; Mars, Lucy; Richards, Joel; Sanz, Veronica] Univ Sussex, Dept Phys & Astron, Brighton BN1 9QH, E Sussex, England, Email: charanjit.kaur@sussex.ac.uk; |
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Corporate Author |
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Thesis |
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Publisher |
Iop Publishing Ltd |
Place of Publication |
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Editor |
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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 |
0954-3899 |
ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes |
WOS:000555607800001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration ![sorted by International Collaboration field, descending order (down)](img/sort_desc.gif) |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
4485 |
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Permanent link to this record |
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Author |
Centelles Chulia, S.; Cepedello, R.; Peinado, E.; Srivastava, R. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Scotogenic dark symmetry as a residual subgroup of Standard Model symmetries |
Type |
Journal Article |
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Year |
2020 |
Publication |
Chinese Physics C |
Abbreviated Journal |
Chin. Phys. C |
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Volume |
44 |
Issue |
8 |
Pages |
083110 - 7pp |
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Keywords |
neutrino masses; dark matter; symmetries; scotogenic |
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Abstract |
We demonstrate that a scotogenic dark symmetry can be obtained as a residual subgroup of the global U(1)(B-L) symmetry already present in the Standard Model. In addition, we propose a general framework in which the U(1)(B-L) symmetry is spontaneously broken into an even Z(2n) subgroup, setting the general conditions for neutrinos to be Majorana and for dark matter stability to exist in terms of the residual Z(2n). As an example, under this general framework, we build a class of simple models where, in a scotogenic manner, the dark matter candidate is the lightest particle running inside the mass loop of a neutrino. The global U(1)(B-L) symmetry in our framework, being anomaly free, can also be gauged in a straightforward manner leading to a richer phenomenology. |
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Address |
[Chulia, Salvador Centelles; Cepedello, Ricardo; Srivastava, Rahul] Univ Valencia, CSIC, Inst Fis Corpuscular, AHEP Grp, Parc Cient Paterna C Catedratico Jose Beltran 2, E-46980 Paterna, Valencia, Spain, Email: salcen@ific.uv.es; |
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Corporate Author |
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Thesis |
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Publisher |
Iop Publishing Ltd |
Place of Publication |
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Editor |
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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 |
1674-1137 |
ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes |
WOS:000557423400001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration ![sorted by International Collaboration field, descending order (down)](img/sort_desc.gif) |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
4494 |
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Permanent link to this record |