36 research outputs found
A Convolutional Neural Network Approach to Supernova Time-Series Classification
One of the brightest objects in the universe, supernovae (SNe) are powerful
explosions marking the end of a star's lifetime. Supernova (SN) type is defined
by spectroscopic emission lines, but obtaining spectroscopy is often
logistically unfeasible. Thus, the ability to identify SNe by type using
time-series image data alone is crucial, especially in light of the increasing
breadth and depth of upcoming telescopes. We present a convolutional neural
network method for fast supernova time-series classification, with observed
brightness data smoothed in both the wavelength and time directions with
Gaussian process regression. We apply this method to full duration and
truncated SN time-series, to simulate retrospective as well as real-time
classification performance. Retrospective classification is used to
differentiate cosmologically useful Type Ia SNe from other SN types, and this
method achieves >99% accuracy on this task. We are also able to differentiate
between 6 SN types with 60% accuracy given only two nights of data and 98%
accuracy retrospectively.Comment: Accepted at the ICML 2022 Workshop on Machine Learning for
Astrophysic
First Detection of Cosmic Microwave Background Lensing and Lyman-{\alpha} Forest Bispectrum
We present the first detection of a correlation between the Lyman-
forest and cosmic microwave background (CMB) lensing. For each Lyman-
forest in SDSS-III/BOSS DR12, we correlate the one-dimensional power spectrum
with the CMB lensing convergence on the same line of sight from Planck. This
measurement constitutes a position-dependent power spectrum, or a squeezed
bispectrum, and quantifies the non-linear response of the Lyman- forest
power spectrum to a large-scale overdensity. The signal is measured at
5~ and is consistent with the CDM expectation. We measure the
linear bias of the Lyman- forest with respect to the dark matter
distribution, and constrain a combination of non-linear terms including the
non-linear bias. This new observable provides a consistency check for the
Lyman- forest as a large-scale structure probe and tests our
understanding of the relation between intergalactic gas and dark matter. In the
future, it could be used to test hydrodynamical simulations and calibrate the
relation between the Lyman- forest and dark matter.Comment: 8 pages, 7 figures; accepted for publication in Phys. Rev.
Cosmology with the Roman Space Telescope -- Synergies with CMB lensing
We explore synergies between the Nancy Grace Roman Space Telescope and CMB
lensing data to constrain dark energy and modified gravity scenarios. A
simulated likelihood analysis of the galaxy clustering and weak lensing data
from the Roman Space Telescope High Latitude Survey combined with CMB lensing
data from the Simons Observatory is undertaken, marginalizing over important
astrophysical effects and calibration uncertainties. Included in the modeling
are the effects of baryons on small-scale clustering, scale-dependent growth
suppression by neutrinos, as well as uncertainties in the galaxy clustering
biases, in the intrinsic alignment contributions to the lensing signal, in the
redshift distributions, and in the galaxy shape calibration. The addition of
CMB lensing roughly doubles the dark energy figure-of-merit from Roman
photometric survey data alone, varying from a factor of 1.7 to 2.4 improvement
depending on the particular Roman survey configuration. Alternatively, the
inclusion of CMB lensing information can compensate for uncertainties in the
Roman galaxy shape calibration if it falls below the design goals. Furthermore,
we report the first forecast of Roman constraints on a model-independent
structure growth, parameterized by , and on the Hu-Sawicki f(R)
gravity as well as an improved forecast of the phenomenological
model. We find that CMB lensing plays a crucial role in
constraining at z>2, with percent-level constraints forecasted
out to z=4. CMB lensing information does not improve constraints on the f(R)
models substantially. It does, however, increase the
figure-of-merit by a factor of about 1.5.Comment: 19 pages, 12 figures, replaced with accepted version in MNRA
Widespread infection with homologues of human parvoviruses B19, PARV4, and human bocavirus of chimpanzees and gorillas in the wild
Infections with human parvoviruses B19 and recently discovered human bocaviruses (HBoVs) are widespread, while PARV4 infections are transmitted parenterally and prevalent specifically in injecting drug users and hemophiliacs. To investigate the exposure and circulation of parvoviruses related to B19 virus, PARV4, and HBoV in nonhuman primates, plasma samples collected from 73 Cameroonian wild-caught chimpanzees and gorillas and 91 Old World monkey (OWM) species were screened for antibodies to recombinant B19 virus, PARV4, and HBoV VP2 antigens by enzyme-linked immunosorbent assay (ELISA). Moderate to high frequencies of seroreactivity to PARV4 (63% and 18% in chimpanzees and gorillas, respectively), HBoV (73% and 36%), and B19 virus (8% and 27%) were recorded for apes, while OWMs were uniformly negative (for PARV4 and B19 virus) or infrequently reactive (3% for HBoV). For genetic characterization, plasma samples and 54 fecal samples from chimpanzees and gorillas collected from Cameroonian forest floors were screened by PCR with primers conserved within Erythrovirus, Bocavirus, and PARV4 genera. Two plasma samples (chimpanzee and baboon) were positive for PARV4, while four fecal samples were positive for HBoV-like viruses. The chimpanzee PARV4 variant showed 18% and 15% nucleotide sequence divergence in NS and VP1/2, respectively, from human variants (9% and 7% amino acid, respectively), while the baboon variant was substantially more divergent, mirroring host phylogeny. Ape HBoV variants showed complex sequence relationships with human viruses, comprising separate divergent homologues of HBoV1 and the recombinant HBoV3 species in chimpanzees and a novel recombinant species in gorillas. This study provides the first evidence for widespread circulation of parvoviruses in primates and enables future investigations of their epidemiology, host specificity, and (co)evolutionary histories
Combinaisons de sondes cosmologiques : deux applications avec les données de Planck et SDSS-III/BOSS
This thesis addresses the combinations of cosmological probes from the measurements of the cosmic microwave background (CMB) and galaxy redshift surveys, and exploits data from the Planck satellite and the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey. It explores how cross-correlations between different data sets can be used to detect new signals and improve contraints on cosmological parameters. First, we measure, for the first time, the cross-correlation between gravitational lensing of the CMB and the power spectrum of the Lyman-α forest in the spectra of quasars. This effect, which emerges from purely non-linear evolution, is interpreted as the response of the power spectrum to large-scale modes. It shows how fluctuations in the density of neutral hydrogen in the intergalactic medium are affected by large-scale fluctuations in the density of dark matter. The measured signal is compatible with the theoretical approach and simulations run by another group. In a second time, we develop a formalism enabling the joint analysis of the galaxy/quasar density contrast and CMB lensing. Taking cross-correlations between these probes into account reduces error bars on some cosmological parameters by up to 20%, equivalent to an increase in the size of the survey of about 50%. This analysis is completed by CMB temperature anisotropies information in order to constrain all the parameters of the ÎCDM standard model and galaxy biases at once. Finally, it is extended to obtain contraints on the dark energy equation of state as well as the sum of the masses of neutrinosCette thĂšse sâintĂ©resse aux combinaisons dâobservables cosmologiques provenant des mesures du fond diffus cosmologique et des relevĂ©s de galaxies, et est basĂ©e sur lâexploitation des donnĂ©es du satellite Planck et du Baryon Oscillation Spectroscopic Survey (BOSS) du Sloan Digital Sky Survey. On explore lâutilisation de corrĂ©lations croisĂ©es entre les jeux de donnĂ©es afin de mettre en Ă©vidence de nouveaux effets et dâamĂ©liorer les contraintes statistiques sur les paramĂštres cosmologiques. Dans un premier temps, on mesure pour la premiĂšre fois une corrĂ©lation entre le lentillage gravitationnel du fond diffus cosmologique et le spectre de puissance des fluctuations de la forĂȘt Lyman-α des quasars. Cet effet, dâorigine purement non-linĂ©aire, est interprĂ©tĂ© comme la rĂ©ponse du spectre de puissance Ă des grandes Ă©chelles. Il montre comment les fluctuations dans la densitĂ© en hydrogĂšne neutre dans le milieu intergalactique sont influencĂ©es par des fluctuations Ă grande Ă©chelle dans la densitĂ© de matiĂšre noire. Le signal mesurĂ© est compatible avec lâapproche thĂ©orique et des simulations menĂ©es par dâautres groupes. Dans un deuxiĂšme temps, on dĂ©veloppe un formalisme permettant une analyse conjointe de la densitĂ© de galaxies et de quasars de BOSS avec le lentillage gravitationnel du fond diffus cosmologique. La prise en compte des corrĂ©lations croisĂ©es entre ces sondes permet de diminuer les barres dâerreurs de certains paramĂštres cosmologiques de 20%, ce qui Ă©quivaut Ă augmenter la surface couverte par les relevĂ©s de presque 50%. Cette analyse est complĂ©tĂ©e par la mesure des anisotropies de tempĂ©rature du fond diffus cosmologique afin de contraindre tous les paramĂštres du modĂšle standard ÎCDM, ainsi que les biais des galaxies. Puis on Ă©tend le modĂšle afin dâexplorer les contraintes sur lâĂ©quation dâĂ©tat de lâĂ©nergie noire et la somme des masses des neutrino
Combinations of cosmic microwave background and large-scale structure cosmological probes
Cette thĂšse sâintĂ©resse aux combinaisons dâobservables cosmologiques provenant des mesures du fond diffus cosmologique et des relevĂ©s de galaxies, et est basĂ©e sur lâexploitation des donnĂ©es du satellite Planck et du Baryon Oscillation Spectroscopic Survey (BOSS) du Sloan Digital Sky Survey. On explore lâutilisation de corrĂ©lations croisĂ©es entre les jeux de donnĂ©es afin de mettre en Ă©vidence de nouveaux effets et dâamĂ©liorer les contraintes statistiques sur les paramĂštres cosmologiques. Dans un premier temps, on mesure pour la premiĂšre fois une corrĂ©lation entre le lentillage gravitationnel du fond diffus cosmologique et le spectre de puissance des fluctuations de la forĂȘt Lyman-α des quasars. Cet effet, dâorigine purement non-linĂ©aire, est interprĂ©tĂ© comme la rĂ©ponse du spectre de puissance Ă des grandes Ă©chelles. Il montre comment les fluctuations dans la densitĂ© en hydrogĂšne neutre dans le milieu intergalactique sont influencĂ©es par des fluctuations Ă grande Ă©chelle dans la densitĂ© de matiĂšre noire. Le signal mesurĂ© est compatible avec lâapproche thĂ©orique et des simulations menĂ©es par dâautres groupes. Dans un deuxiĂšme temps, on dĂ©veloppe un formalisme permettant une analyse conjointe de la densitĂ© de galaxies et de quasars de BOSS avec le lentillage gravitationnel du fond diffus cosmologique. La prise en compte des corrĂ©lations croisĂ©es entre ces sondes permet de diminuer les barres dâerreurs de certains paramĂštres cosmologiques de 20%, ce qui Ă©quivaut Ă augmenter la surface couverte par les relevĂ©s de presque 50%. Cette analyse est complĂ©tĂ©e par la mesure des anisotropies de tempĂ©rature du fond diffus cosmologique afin de contraindre tous les paramĂštres du modĂšle standard ÎCDM, ainsi que les biais des galaxies. Puis on Ă©tend le modĂšle afin dâexplorer les contraintes sur lâĂ©quation dâĂ©tat de lâĂ©nergie noire et la somme des masses des neutrinosThis thesis addresses the combinations of cosmological probes from the measurements of the cosmic microwave background (CMB) and galaxy redshift surveys, and exploits data from the Planck satellite and the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey. It explores how cross-correlations between different data sets can be used to detect new signals and improve contraints on cosmological parameters. First, we measure, for the first time, the cross-correlation between gravitational lensing of the CMB and the power spectrum of the Lyman-α forest in the spectra of quasars. This effect, which emerges from purely non-linear evolution, is interpreted as the response of the power spectrum to large-scale modes. It shows how fluctuations in the density of neutral hydrogen in the intergalactic medium are affected by large-scale fluctuations in the density of dark matter. The measured signal is compatible with the theoretical approach and simulations run by another group. In a second time, we develop a formalism enabling the joint analysis of the galaxy/quasar density contrast and CMB lensing. Taking cross-correlations between these probes into account reduces error bars on some cosmological parameters by up to 20%, equivalent to an increase in the size of the survey of about 50%. This analysis is completed by CMB temperature anisotropies information in order to constrain all the parameters of the ÎCDM standard model and galaxy biases at once. Finally, it is extended to obtain contraints on the dark energy equation of state as well as the sum of the masses of neutrino
Understanding posterior projection effects with normalizing flows
International audienceMany modern applications of Bayesian inference, such as in cosmology, are based on complicated forward models with high-dimensional parameter spaces. This considerably limits the sampling of posterior distributions conditioned on observed data. In turn, this reduces the interpretability of posteriors to their one- and two-dimensional marginal distributions, when more information is available in the full dimensional distributions. We show how to learn smooth and differentiable representations of posterior distributions from their samples using normalizing flows, which we train with an added evidence error loss term, to improve accuracy in multiple ways. Motivated by problems from cosmology, we implement a robust method to obtain one and two-dimensional posterior profiles. These are obtained by optimizing, instead of integrating, over other parameters, and are thus less prone than marginals to so-called projection effects. We also demonstrate how this representation provides an accurate estimator of the Bayesian evidence, with log error at the 0.2 level, allowing accurate model comparison. We test our method on multi-modal mixtures of Gaussians up to dimension 32 before applying it to simulated cosmology examples. Our code is publicly available at https://github.com/mraveri/tensiometer
A new statistical method to analyze Morris Water Maze data using Dirichlet distribution
International audienceThe Morris Water Maze (MWM) is a behavioral test widely used in the field of neuroscience to evaluate spatial learning memory of rodents. However, the interpretation of results is often impaired by the common use of statistical tests based on independence and normal distributions that do not reflect basic properties of the test data, such as the constant-sum constraint. In this work, we propose to analyze MWM data with the Dirichlet distribution, which describes constant-sum data with minimal hypotheses, and we introduce a statistical test based on uniformity (equal amount of time spent in each quadrant of the maze) that evaluates memory impairments. We demonstrate that this test better represents MWM data and show its efficiency on simulated as well as in vivo data. Based on Dirichlet distribution, we also propose a new way to plot MWM data, showing mean values and inter-individual variability at the same time, on an easily interpretable chart. Finally, we conclude with a perspective on using Bayesian analysis for MWM data