3,362 research outputs found
Inflation, curvature and kinetic dominance
No full textPaper references:
Will Handley. Primordial power spectra for curved inflating universes. arXiv, 1907.08524, Jul 2019.
W. J. Handley, A. N. Lasenby, and M. P. Hobson. Novel quantum initial conditions for inflation. PRD, 94(2):024041, Jul 2016.
W. J. Handley, A. N. Lasenby, and M. P. Hobson. The Runge-Kutta-Wentzel-Kramers-Brillouin Method. arXiv, 1612.02288, Dec 2016.
F. Agocs, W. Handley, A. Lasenby, and M. Hobson. An efficient method for solving highly oscillatory ordinary differential equations. arXiv, 1906.01421, May 2019.
Jamie Bamber and Will Handley. Beyond the Runge-Kutta-Wentzel-Kramers-Brillouin method. arXiv, 1907.11638, Jul 2019.
W. I. J. Haddadin and W. J. Handley. Rapid numerical solutions for the Mukhanov-Sazaki equation. arXiv, 1809.11095, Sep 2018.
W. J. Handley, S. D. Brechet, A. N. Lasenby, and M. P. Hobson. Kinetic initial conditions for inflation. PRD, 89(6):063505, Mar 2014.
Will Handley, Anthony Lasenby, and Mike Hobson. Logolinear series expansions with applications to primordial cosmology. PRD, 99(12):123512, Jun 2019.
L. T. Hergt, W. J. Handley, M. P. Hobson, and A. N. Lasenby. A case for kinetically dominated initial conditions for inflation. PRD, 100(2):023502, Jul 2019.
L. T. Hergt, W. J. Handley, M. P. Hobson, and A. N. Lasenby. Constraining the kinetically dominated universe. PRD, 100(2):023501, Jul 2019.
W. J. Handley, A. N. Lasenby, H. V. Peiris, and M. P. Hobson. Bayesian inflationary reconstructions from Planck 2018 data. arXiv, 1908.00906, Aug 2019.
W. J. Handley, M. P. Hobson, and A. N. Lasenby. POLYCHORD: next-generation nested sampling. MNRAS, 453(4):4384\u20134398, Nov 2015.
Will Handley. fgivenx: A Python package for functional posterior plotting. JOSS, 3(28):849, Aug 2018.
Will Handley. Curvature tension: evidence for a closed universe. arXiv, 1908.09139, Aug 2019.
Will Handley. anesthetic: nested sampling visualisation. JOSS, 4:1414, May 2019.
Will Handley and Pablo Lemos. Quantifying tensions in cosmological parameters: Interpreting the DES evidence ratio. PRD, 100(4):043504, Aug 2019.
Will Handley and Pablo Lemos. Quantifying dimensionality: Bayesian cosmological model complexities. PRD, 100(2):023512, Jul 2019
</ol
PolyChord: next generation nested sampling
No full textPaper references:
John Skilling. Nested sampling for general bayesian computation. Bayesian analysis, 1(4):833–859, 2006.
D. Sivia and J. Skilling. Data Analysis: A Bayesian Tutorial. Oxford science publications. OUP Oxford, 2006.
Feroz, Hobson, and Bridges. MULTINEST: an efficient and robust Bayesian inference tool for cosmology and particle physics. MNRAS, 398(4):1601–1614, Oct 2009.
F. Feroz and J. Skilling. Exploring multi-modal distributions with nested sampling. In American IoP Conference Series, volume 1553, pages 106–113, Aug 2013.
Michael Betancourt. Nested Sampling with Constrained Hamiltonian Monte Carlo. In American IofP Conference Series, volume 1305, pages 165–172, Mar 2011.
Adam Moss. Accelerated Bayesian inference using deep learning. arXiv e-prints, page arXiv:1903.10860, Mar 2019.
Joshua S Speagle. dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences. arXiv e-prints, page arXiv:1904.02180, Apr 2019.
W. J. Handley, A. N. Lasenby, H. V. Peiris, and M. P. Hobson. Bayesian inflationary reconstructions from Planck 2018 data. PRD, 100(10):103511, Nov 2019.
Will Handley. Curvature tension: evidence for a closed universe. arXiv, 1908.09139, Aug 2019.
Hall, Thompson, Handley, and Queloz. On the Feasibility of Intense Radial Velocity Surveys for Earth-Twin Discoveries. MNRAS, 479(3):2968–2987, Sep 2018.
Gregory D. Martinez, James McKay, Ben Farmer, Pat Scott, Elinore Roebber, Antje Putze, and Jan Conrad. Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module. European Physical Journal C, 77(11):761, Nov 2017.
Xi Chen, Farhan Feroz, and Michael Hobson. Bayesian automated posterior repartitioning for nested sampling. arXiv e-prints, page arXiv:1908.04655, Aug 2019.
W. Handley and J. Alsing. Compromise-free Likelihood free inference. Bayesian analysis (In preparation), 2020.
Will Handley. anesthetic: nested sampling visualisation. JOSS, 4:1414, May 2019.
E. Higson, W. Handley, L Hobson, and A Lasenby. Dynamic nested sampling. Statistics and Computation, 29(5):891–913, Sep 2019.
Brendon J. Brewer and Daniel Foreman-Mackey. DNest4: Diffusive Nested Sampling in C++ and Python. arXiv e-prints, page arXiv:1606.03757, Jun 2016.
Stefano Martiniani, Jacob D Stevenson, David J Wales, and Daan Frenkel. Superposition enhanced nested sampling. Physical Review X, 4(3):031034, 2014.
Philip Graff, Farhan Feroz, Michael P. Hobson, and Anthony Lasenby. BAMBI: blind accelerated multimodal Bayesian inference. MNRAS, 421(1):169–180, Mar 2012.
W. J. Handley, M. P. Hobson, and A. N. Lasenby. polychord: nested sampling for cosmology. MNRAS, 450:L61–L65, Jun 2015.
W. J. Handley, M. P. Hobson, and A. N. Lasenby. POLYCHORD: next-generation nested sampling. MNRAS, 453(4):4384–4398, Nov 2015.
K. Javid, W. J. Handley, M. P. Hobson, and L. Lasenby. Compromise-free Bayesian neural networks. Bayesian analysis (In preparation), 2020.
</ol
Handley, Horace W. (Birth, 1906-10-19)
No full textAddress: 23 East McMillan St.5428/Pg. 33/1906/M W/Ky./La./Dr. D.C. Handley, & R.H. Reemelin, M.D.Original record filed in drawer labeled 'HALPIN-HANNO'
Correction: A new potential for methylammonium lead iodide
No full textCorrection for ‘A new potential for methylammonium lead iodide’ by C. M. Handley et al., Phys. Chem. Chem. Phys., 2017, 19, 2313–2321.</p
Lasiurus castaneus Handley 1960
No full textLasiurus castaneus Handley, 1960. Proc. U.S. Nat. Mus., 112:468. TYPE LOCALITY: Panama, Darien, Rio Pucro, Tacarcuna Village, 3200 ft. (975 m). DISTRIBUTION: E. Panama. ISIS NUMBER: 5301405014012003001.Published as part of James H. Honacki, Kenneth E. Kinman & James W. Koeppl, 1982, Order Chiroptera, pp. 111-215 in Mammal Species of the World (1 st Edition), Lawrence, Kansas, USA :Alien Press, Inc. & The Association of Systematics Collections on page 180, DOI: 10.5281/zenodo.735299
Consensus model of biofilm structure
No full textBiofilms have been defined in various ways by various researchers. The definition is usually structured to be all inclusive of the many environments that biofilms are found and disciplines that the subject covers. Characklis and Marshall (1990) define a biofilm as consisting of “cells immobilized at a substratum and frequently embedded in an organic polymer matrix of microbial origin”. A broader definition is supplied by Costerton et al. (1995) who defined biofilms as “matrix-enclosed bacterial populations adherent to each other and/or to surfaces or interfaces”. It might be easiest to define biofilms in terms of what they are not - single cells homogeneously dispersed in fluid, the well mixed batch culture of which much of contemporary microbiology is based. Structural organisation is a characteristic feature of biofilms which distinguishes biofilm cultures from conventional suspended cultures, with or without an association with an interface. Biofilm structure is a recurrent topic of discussion among biofilm researchers generally and has been featured in a number of presentations at the first two British Biofilm Club Gregynog meetings. Much discussion time has been spent in search of a “universal” conceptual biofilm model describing biofilm structure (Handley 1995). The existence of such a model is appealing but given the enormous diversity of biofilms is it possible to characterise all biofilms with a single conceptual model? And if we do agree on a working model how useful will such a model be? Possibly we should not restrict a biofilm model to certain structural constraints but instead look for common features or basic building blocks of biofilms which could be readily incorporated into different structural models in a modular fashion
50. Aristophane. Sept exposés suivis de discussions. Entretiens préparés et présidés par J. M. Bremer et E. W. Handley
No full textWartelle André. 50. Aristophane. Sept exposés suivis de discussions. Entretiens préparés et présidés par J. M. Bremer et E. W. Handley. In: Revue des Études Grecques, tome 107, fascicule 509-510, Janvier-juin 1994. p. 291
Myotis riparius Handley 1960
No full textMyotis riparius Handley, 1960. Proc. U.S. Natl. Mus., 112:466 -468. TYPE LOCALITY: Panama, Darien, Rio Puero, Tacarcuna Village. DISTRIBUTION: Honduras to Uruguay and E Brazil; Trinidad. COMMENTS: Subgenus Leuconoe. Originally described as a subspecies of simus. M. guaycuru may be the oldest name for this species; see LaVal (1973a:32-35).Published as part of Karl F. Koopman, 1993, Order Chiroptera, pp. 137-241 in Mammal Species of the World (2 nd Edition), Washington and London :Smithsonian Institution Press on page 214, DOI: 10.5281/zenodo.735306
- …
