scholarly journals A COMBINED MAXIMUM-LIKELIHOOD ANALYSIS OF THE HIGH-ENERGY ASTROPHYSICAL NEUTRINO FLUX MEASURED WITH ICECUBE

2015 ◽  
Vol 809 (1) ◽  
pp. 98 ◽  
Author(s):  
M. G. Aartsen ◽  
K. Abraham ◽  
M. Ackermann ◽  
J. Adams ◽  
J. A. Aguilar ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Neutrino Flux ◽  
High Energy ◽  
Maximum Likelihood Analysis ◽  
Likelihood Analysis ◽  
Astrophysical Neutrino

scholarly journals Estimating the impact of the QCD dynamics on the determination of the high energy astrophysical neutrino flux

2021 ◽  
Vol 81 (6) ◽  
Author(s):  
Victor P. Gonçalves ◽  
Diego R. Gratieri ◽  
Alex S. C. Quadros
Keyword(s):  
Maximum Likelihood ◽  
Cross Section ◽  
Neutrino Flux ◽  
High Energy ◽  
Ultra High Energy ◽  
High Energies ◽  
Ultra High Energy Neutrinos ◽  
The Impact ◽  
Astrophysical Neutrino

AbstractThe number of ultra-high energy neutrinos arriving at IceCube depends on the energy dependence of the astrophysical neutrino flux and neutrino cross-section. In this paper, we investigate the impact of different assumptions for the description of the QCD dynamics at high energies on the determination of the normalization $$\Phi _{Astro}$$ Φ Astro and spectral index $$\gamma $$ γ of the astrophysical neutrino flux. The distribution of neutrino events at the IceCube is estimated considering the DGLAP, BFKL, CGC and BBMT approaches and the best estimates for $$\Phi _{Astro}$$ Φ Astro and $$\gamma $$ γ are determined using a maximum likelihood fit comparing the predictions with the distribution of observed events at IceCube. Moreover, we also investigate if the increase in the effective exposure time expected in IceCube-Gen2 will to allow us to disentangle the QCD dynamical effects from the description of the astrophysical neutrino flux.

scholarly journals MAXIMUM LIKELIHOOD ANALYSIS OF POPULATION DIFFERENCES IN ALLELIC FREQUENCIES

Genetics ◽  
1972 ◽  
Vol 72 (4) ◽  
pp. 709-719
Author(s):  
Peter E Smouse ◽  
Ken-Ichi Kojima
Keyword(s):  
Maximum Likelihood ◽  
Statistical Techniques ◽  
Ratio Test ◽  
Maximum Likelihood Analysis ◽  
Population Differences ◽  
Allelic Frequencies ◽  
Lack Of Fit ◽  
Likelihood Analysis ◽  
Test Criteria ◽  
Geographic Differences

ABSTRACT Statistical techniques are presented for the analysis of geographic variation in allelic frequencies. Likelihood ratio test criteria are derived from a multinominal sampling distribution, and are used to answer three questions. (1) Are there geographic differences in allelic frequencies? (2) Are population differences in allelic frequencies associated with environmental differences? (3) Is there any residual "lack of fit" variation among populations, after accounting for that variation associated with environmental differences? The two- and three-allele cases are explicitly treated, and the extension to more alleles is indicated.

A contribution towards the systematics of Magneuptychia Forster, 1964: Caeruleuptychia francisca (Butler, 1870), n. comb. (Lepidoptera: Nymphalidae: Satyrinae)

2020 ◽  
pp. 1-11
Author(s):  
Shinichi Nakahara ◽  
Kaylin Kleckner ◽  
Gerardo Lamas ◽  
Blanca Huertas ◽  
Keith R. Willmott
Keyword(s):  
Maximum Likelihood ◽  
Molecular Data ◽  
Maximum Likelihood Analysis ◽  
Maximum Likelihood Tree ◽  
Likelihood Analysis ◽  
First Time

We here transfer an euptychiine taxon hitherto placed in the polyphyletic genus Magneuptychia Forster, 1964, to Caeruleuptychia Forster, 1964. Caeruleuptychia francisca (Butler, 1870), n. comb. is reclassified based on a morphology-based maximum likelihood analysis, which is consistent with ongoing analyses of molecular data. Two putative synapomorphic characters are identified for the “Caeruleuptychia umbrosa clade”, one of which appears to be an unusual characteristic of euptychiine butterflies and is tested by optimizing onto the maximum likelihood tree. We also discuss the systematic placement of three additional enigmatic Caeruleuptychia species. A lectotype is designated for Euptychia francisca, and the genitalia of this species are illustrated here for the first time.

Animal x testing environment interaction on postweaning liveweight gains of young bulls

1998 ◽  
Vol 49 (4) ◽  
pp. 607 ◽  
Author(s):  
S. J. Schoeman ◽  
G. G. Jordaan
Keyword(s):  
Maximum Likelihood ◽  
Genetic Correlation ◽  
Variance Components ◽  
Restricted Maximum Likelihood ◽  
Animal Breeding ◽  
Environment Interaction ◽  
Maximum Likelihood Analysis ◽  
Breeding Values ◽  
Testing Environment ◽  
Likelihood Analysis

Postweaning liveweight gain records of 1610 young bulls obtained both in feedlot and under pasture were used to estimate (co)variance components using a multivariate restricted maximum likelihood analysis. The pedigree file included 3477 animals. Heritability estimates for liveweights and gain in both environments correspond to most previously reported estimates. The genetic correlation of gain between the 2 environments was -0·12, suggesting a large genotype testing environment interaction and re-ranking of animal breeding values across environments. Results of this analysis suggest the need for environment-specific breeding values for postweaning gain.

scholarly journals Maximum likelihood analysis of low energy CDMS II germanium data

2015 ◽  
Vol 91 (5) ◽  
Author(s):  
R. Agnese ◽  
A. J. Anderson ◽  
D. Balakishiyeva ◽  
R. Basu Thakur ◽  
D. A. Bauer ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Low Energy ◽  
Maximum Likelihood Analysis ◽  
Likelihood Analysis

Maximum-likelihood analysis of multiple quantum phase measurements

1992 ◽  
Vol 69 (15) ◽  
pp. 2153-2156 ◽  
Author(s):  
Samuel L. Braunstein ◽  
Alistair S. Lane ◽  
Carlton M. Caves
Keyword(s):  
Maximum Likelihood ◽  
Quantum Phase ◽  
Multiple Quantum ◽  
Maximum Likelihood Analysis ◽  
Phase Measurements ◽  
Likelihood Analysis
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