934 research outputs found
Morisset/PyNeb_devel: 1.1.9
No full textcommit ab6cdb8a4af2ff75b82fc1422004934945c82530
Author: morisset [email protected]
Date: Sat Jul 6 11:25:45 2019 -0700
1.1.9
V 1.1.9
commit f7e6a418d2affb8db163c8c6c2428173b5f4aacf
Author: morisset [email protected]
Date: Fri Jun 7 07:15:42 2019 -0700
Create _chianti_tools_9.py
commit 81213b885e2b359a62e3d6e73515e39dc7056561
Author: Christophe Morisset [email protected]
Date: Wed Jun 5 16:19:33 2019 -0700
Adding Chianti 9
commit 5a9a7dfc9a4d922a216ac11f39b76c2d63097d3b
Author: Christophe Morisset [email protected]
Date: Wed Jun 5 16:19:05 2019 -0700
1.1.9b4
commit 152f9192847cd7f3194e0a778caca66f966392c1
Author: morisset [email protected]
Date: Wed May 22 14:13:30 2019 -0700
T_min ans max were not used
commit 22aeec4db4efc7bcc377b54a92292e157335825d
Author: morisset [email protected]
Date: Sun May 19 10:18:52 2019 -0700
1.1.9b3
commit 4dc721eecdd2511fcde69f835fc6181f7be1b74d
Author: morisset [email protected]
Date: Sun May 19 10:18:34 2019 -0700
manage wl<Lyalpha master
commit 44192233b57ef46cc479e6bfc2a9020cbfc3d5f6
Author: morisset [email protected]
Date: Fri May 17 13:07:55 2019 -0700
1.1.9b2
commit 95e07d78fb38cc6267f38e11d3051738814a4dfd
Author: morisset [email protected]
Date: Fri May 17 13:07:47 2019 -0700
light wl array
commit 9a159290e931fbdbbff8b13968d7540f8b0cef18
Author: morisset [email protected]
Date: Fri May 17 13:07:27 2019 -0700
add continuum to init
commit da0e0b6ac19bc6808bc7366217ad4a0885e1ca0e
Author: morisset [email protected]
Date: Thu Mar 21 11:48:08 2019 -0300
1.1.9b1
before branch to Regresor developemen
Microstrain in pyrope-grossular garnet solid solution at high pressure: a case study of Py(90)Gr(10) and Py(10)Gr(90) up to 15 GPa
No full textSingle-phase, well-sintered, translucent polycrystalline garnets with compositions of Py(90)Gr(10) and Py(10)Gr(90) were synthesized at 6 GPa and 1400 degrees C using a multi-anvil apparatus. X-ray diffraction (XRD) data for these garnet solid solutions were collected with both high-resolution synchrotron X-ray and standard laboratory X-ray sources. Analysis of the FWHM of the XRD peaks using Williamson-Hall plot yields microstrains around 0.12% for Py(90)Gr(10) and 0.09% for Py(10)Gr(90). The FWHM of Py(10)Gr(90) garnet as well as the derived microstrain remains constant up to 11 GPa, followed by a continuous increase to the experimental peak pressure 15 GPa caused by elastic strain in response to deviatoric/anisotropic stresses. The FWHM and microstrain for Py(90)Gr(10) remain constant to the measurement limit at 7 GPa. The microstrain of pyrope-grossular garnets exhibits a nonlinear dependence on composition, showing two peaks near Py(20)Gr(80) and Py(80)Gr(20), which may be associated with local structural heterogeneities arising from Mg and Ca substitution. Using a third-order Birch-Murnaghan equation of state, the bulk modulus is constrained to be Ie (0) = 171.8 +/- 2.1 GPa (with K-0(') fixed to 5.92) for Py(10)Gr(90) and Ie (0) = 174.3 +/- 2.5 GPa (with K-0(') fixed to 4.4) for Py(90)Gr(10), both of which are much larger than that for intermediate composition close to Py(50)Gr(50) but comparable to that for their corresponding end members. The relatively larger microstrain and higher bulk moduli for Py(10)Gr(90) and Py(90)Gr(10) garnets could be related to short-range ordering of Mg and Ca cations in garnet structure due to substitution, which results in different local environments for Mg and Ca cations along the pyrope-grossular solid solution.DOE/NNSA [DE-NA0002907]; NSF [EAR1524078]SCI(E)ARTICLE6377-3884
L-Py, an open L-systems framework in Python
No full textInternational audienceL-systems were conceived as a mathematical framework for modeling growth of plants. In this paper, we present L-Py, a simulation software that mixes L-systems construction with the Python high-level modeling language. In addition to this software module, an integrated visual development environment has been developed that facilitates the creation of plant models. In particular, easy to use optimization tools have been integrated. Thanks to Python and its modular approach, this framework makes it possible to integrate a variety of tools defined in different modeling context, in particular tools from the OpenAlea platform. Additionally, it can be integrated as a simple growth simulation module into more complex computational pipelines
Uniformization of Riemann Surfaces: Revisiting a hundred-year-old theorem
No full textThe name of Henri Paul de Saint-Gervais covers a group composed of fifteen mathematicians : Aurelien Alvarez, Christophe Bavard, Francois Beguin, Nicolas Bergeron, Maxime Bourrigan, Bertrand Deroin, Sorin Dumitrescu, Charles Frances, ́Etienne Ghys, Antonin Guilloux, Frank Loray, Patrick Popescu-Pampu, Pierre Py, Bruno Sevennec, Jean-Claude SikoravTranslated from the French by Robert G. BurnsInternational audienc
L-Py: L-Systems in Python
No full textInternational audienceLindenmayer-systems were conceived as a mathematical framework for modeling growth of plants. In this paper, we present L-Py, a simulation package that mixes L-systems construction with the Python high-level modeling language. In addition to this software module, an integrated visual development environment has been developed that facilitates the creation of plant models. In particular, easy to use optimization tools have been integrated. Thanks to Python and its modular approach, this framework makes it possible to integrate a variety of tools defined in different modeling context, in particular tools from the OpenAlea platform [Pradal08]. Additionally, it can be integrated as a simple growth simulation module into more complex computational pipelines
L-Py: L-Systems in Python
No full textInternational audienceLindenmayer-systems were conceived as a mathematical framework for modeling growth of plants. In this paper, we present L-Py, a simulation package that mixes L-systems construction with the Python high-level modeling language. In addition to this software module, an integrated visual development environment has been developed that facilitates the creation of plant models. In particular, easy to use optimization tools have been integrated. Thanks to Python and its modular approach, this framework makes it possible to integrate a variety of tools defined in different modeling context, in particular tools from the OpenAlea platform [Pradal08]. Additionally, it can be integrated as a simple growth simulation module into more complex computational pipelines
L-Py, an open L-systems framework in Python
No full textInternational audienceL-systems were conceived as a mathematical framework for modeling growth of plants. In this paper, we present L-Py, a simulation software that mixes L-systems construction with the Python high-level modeling language. In addition to this software module, an integrated visual development environment has been developed that facilitates the creation of plant models. In particular, easy to use optimization tools have been integrated. Thanks to Python and its modular approach, this framework makes it possible to integrate a variety of tools defined in different modeling context, in particular tools from the OpenAlea platform. Additionally, it can be integrated as a simple growth simulation module into more complex computational pipelines
L-Py, an open L-systems framework in Python
No full textInternational audienceL-systems were conceived as a mathematical framework for modeling growth of plants. In this paper, we present L-Py, a simulation software that mixes L-systems construction with the Python high-level modeling language. In addition to this software module, an integrated visual development environment has been developed that facilitates the creation of plant models. In particular, easy to use optimization tools have been integrated. Thanks to Python and its modular approach, this framework makes it possible to integrate a variety of tools defined in different modeling context, in particular tools from the OpenAlea platform. Additionally, it can be integrated as a simple growth simulation module into more complex computational pipelines
atomneb/AtomNeb-py: AtomNeb-py.0.3.0
No full textAtomNeb - Python Package for Atomic Data of Ionized Nebulae
AtomNeb is a database containing atomic data stored in FITS file format generated for for spectral analysis. The AtomNeb Python Package is equipped with several API functions developed in the Python language, which can be used to read atomic data from the AtomNeb FITS files. The API functions of the AtomNeb Python Package, together with the pyEQUIB Python Package, can be used to carry out plasma diagnostics and abundance analysis of spectra emitted from ionized nebulae.
Update Summary
Change data structures from pandas.DataFrame to NumPy
Add Chianti 9.0 atomic data
Citation
@article{Danehkar2020,
author = {{Danehkar}, Ashkbiz},
title = {AtomNeb Python Package, an addendum to AtomNeb: IDL Library for Atomic Data of Ionized Nebulae},
journal = {Journal of Open Source Software},
volume = {5},
number = {55},
pages = {2797},
year = {2020},
doi = {10.21105/joss.02797}
Photodegradation of pyrogenic dissolved organic matter (Py-DOM): a combined photon counting and distribution-based FT-ICR MS study
No full textQuantitative systematic studies are needed to elucidate the both short and long-term environmental implications of increasing pyrogenic dissolved organic matter (Py-DOM) inputs associated with projected increase in wildfire activity over the next century. Time-resolved fluorescence spectroscopy and Fourier transform ion cyclotron resonance were used to characterize extracts of unaltered and pyrolyzed wood and plant material. Upon pyrolysis, extracts shifted from a predominantly phenolic signature to a carboxylic-rich alicyclic configuration. Photodegradation of extracts was commensurate with solar energy exposure. The rate of photodegradation and the degradable fraction of DOM was component driven. Results of this study point to a disproportionate energy-induced response in components common to lignocellulose-derived DOM. Further studies are required to elucidate the mechanistic aspect of photodegradation of DOM, and Py-DOM as relates to energy input
- …
