| Records |
| Author |
Di Valentino, E. et al; Mena, O. |
| Title |
Cosmology intertwined III: f sigma(8) and S-8 |
Type |
Journal Article |
| Year |
2021 |
Publication |
Astroparticle Physics |
Abbreviated Journal |
Astropart Phys. |
| Volume |
131 |
Issue |
|
Pages |
102604 - 6pp |
| Keywords |
cosmological tensions; cosmological parameters |
| Abstract |
The standard A Cold Dark Matter cosmological model provides a wonderful fit to current cosmological data, but a few statistically significant tensions and anomalies were found in the latest data analyses. While these anomalies could be due to the presence of systematic errors in the experiments, they could also indicate the need for new physics beyond the standard model. In this Letter of Interest we focus on the tension between Planck data and weak lensing measurements and redshift surveys, in the value of the matter energy density Omega(m), and the amplitude sigma(8) (or the growth rate f sigma(8)) of cosmic structure. We list a few promising models for solving this tension, and discuss the importance of trying to fit multiple cosmological datasets with complete physical models, rather than fitting individual datasets with a few handpicked theoretical parameters. |
| Address |
[Di Valentino, Eleonora; Chluba, Jens; Harrison, Ian; Hart, Luke; Pace, Francesco] Univ Manchester, JBCA, Manchester, Lancs, England, Email: eleonora.di-valentino@durham.ac.uk |
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| Publisher |
Elsevier |
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| Language |
English |
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0927-6505 |
ISBN |
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Expedition |
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Conference |
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| Notes |
WOS:000657813100006 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
4854 |
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| Author |
Di Valentino, E. et al; Mena, O. |
| Title |
Snowmass2021-Letter of interest cosmology intertwined IV: The age of the universe and its curvature |
Type |
Journal Article |
| Year |
2021 |
Publication |
Astroparticle Physics |
Abbreviated Journal |
Astropart Phys. |
| Volume |
131 |
Issue |
|
Pages |
102607 - 5pp |
| Keywords |
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| Abstract |
A precise measurement of the curvature of the Universe is of prime importance for cosmology since it could not only confirm the paradigm of primordial inflation but also help in discriminating between different early-Universe scenarios. Recent observations, while broadly consistent with a spatially flat standard A Cold Dark Matter (ACDM) model, show tensions that still allow (and, in some cases, even suggest) a few percent deviations from a flat universe. In particular, the Planck Cosmic Microwave Background power spectra, assuming the nominal likelihood, prefer a closed universe at more than 99% confidence level. While new physics could be at play, this anomaly may be the result of an unresolved systematic error or just a statistical fluctuation. However, since positive curvature allows a larger age of the Universe, an accurate determination of the age of the oldest objects provides a smoking gun in confirming or falsifying the current flat ACDM model. |
| Address |
[Di Valentino, Eleonora; Chluba, Jens; Harrison, Ian; Hart, Luke; Pace, Francesco] Univ Manchester, JBCA, Manchester, Lancs, England, Email: eleonora.di-valentino@durham.ac.uk |
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| Publisher |
Elsevier |
Place of Publication |
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| Language |
English |
Summary Language |
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Edition |
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| ISSN |
0927-6505 |
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:000657813100007 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
4855 |
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| Author |
Di Valentino, E. et al; Mena, O. |
| Title |
Snowmass2021-Letter of interest cosmology intertwined I: Perspectives for the next decade |
Type |
Journal Article |
| Year |
2021 |
Publication |
Astroparticle Physics |
Abbreviated Journal |
Astropart Phys. |
| Volume |
131 |
Issue |
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Pages |
102606 - 4pp |
| Keywords |
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| Abstract |
The standard Lambda Cold Dark Matter cosmological model provides an amazing description of a wide range of astrophysical and astronomical data. However, there are a few big open questions, that make the standard model look like a first-order approximation to a more realistic scenario that still needs to be fully understood. In this Letter of Interest we will list a few important goals that need to be addressed in the next decade, also taking into account the current discordances present between the different cosmological probes, as the Hubble constant H-0 value, the sigma S-8(8) tension, and the anomalies present in the Planck results. Finally, we will give an overview of upgraded experiments and next-generation space-missions and facilities on Earth that will be of crucial importance to address all these questions. |
| Address |
[Di Valentino, Eleonora; Chluba, Jens; Harrison, Ian; Hart, Luke; Pace, Francesco] Univ Manchester, JBCA, Manchester, Lancs, England, Email: eleonora.di-valentino@durham.ac.uk |
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Thesis |
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| Publisher |
Elsevier |
Place of Publication |
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Editor |
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English |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
0927-6505 |
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:000657813100003 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
4856 |
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| Author |
Plaza, J.; Martinez, T.; Becares, V.; Cano-Ott, D.; Villamarin, D.; de Rada, A.P.; Mendoza, E.; Pesudo, V.; Santorelli, R.; Pena, C.; Balibrea-Correa, J.; Boeltzig, A. |
| Title |
Thermal neutron background at Laboratorio Subterraneo de Canfranc (LSC) |
Type |
Journal Article |
| Year |
2023 |
Publication |
Astroparticle Physics |
Abbreviated Journal |
Astropart Phys. |
| Volume |
146 |
Issue |
|
Pages |
102793 - 9pp |
| Keywords |
Underground neutron background; Thermal neutron flux; He-3 proportional counter; Pulse shape discrimination |
| Abstract |
The thermal neutron background at Laboratorio Subterraneo de Canfranc (LSC) has been determined using several He-3 proportional counter detectors. Bare and Cd shielded counters were used in a series of long measurements. Pulse shape discrimination techniques were applied to discriminate between neutron and gamma signals as well as other intrinsic contributions. Montecarlo simulations allowed us to estimate the sensitivity of the detectors and calculate values for the background flux of thermal neutrons inside Hall-A of LSC. The obtained value is (3.5 +/- 0.8)x10(-6) n/cm(2)s, and is within an order of magnitude compared to similar facilities. |
| Address |
[Plaza, J.; Martinez, T.; Becares, V; Cano-Ott, D.; Villamarin, D.; Perez de Rada, A.; Mendoza, E.; Pesudo, V; Santorelli, R.] Ctr Invest Energet Medioambientales & Tecnol CIEM, Ave Complutense 40, Madrid 28040, Spain, Email: julio.plaza@ciemat.es |
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| Publisher |
Elsevier |
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| Language |
English |
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0927-6505 |
ISBN |
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| Area |
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Expedition |
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Conference |
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| Notes |
WOS:000928281600001 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
5482 |
| Permanent link to this record |
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| Author |
Herrero-Garcia, J.; Patrick, R.; Scaffidi, A. |
| Title |
A semi-supervised approach to dark matter searches in direct detection data with machine learning |
Type |
Journal Article |
| Year |
2022 |
Publication |
Journal of Cosmology and Astroparticle Physics |
Abbreviated Journal |
J. Cosmol. Astropart. Phys. |
| Volume |
02 |
Issue |
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Pages |
039 - 19pp |
| Keywords |
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| Abstract |
The dark matter sector remains completely unknown. It is therefore crucial to keep an open mind regarding its nature and possible interactions. Focusing on the case of Weakly Interacting Massive Particles, in this work we make this general philosophy more concrete by applying modern machine learning techniques to dark matter direct detection. We do this by encoding and decoding the graphical representation of background events in the XENONnT experiment with a convolutional variational autoencoder. We describe a methodology that utilizes the `anomaly score' derived from the reconstruction loss of the convolutional variational autoencoder as well as a pre-trained standard convolutional neural network, in a semi-supervised fashion. Indeed, we observe that optimum results are obtained only when both unsupervised and supervised anomaly scores are considered together. A data set that has a higher proportion of anomaly score is deemed anomalous and deserves further investigation. Contrary to classical analyses, in principle all information about the events is used, preventing unnecessary information loss. Lastly, we demonstrate the reach of learning-focused anomaly detection in this context by comparing results with classical inference, observing that, if tuned properly, these techniques have the potential to outperform likelihood-based methods. |
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Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
5495 |
| Permanent link to this record |
