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https://github.com/fjosw/pyerrors.git
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Merge branch 'develop' into documentation
This commit is contained in:
fjosw
commit
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8 changed files with 30 additions and 15 deletions
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[](https://github.com/fjosw/pyerrors/actions/workflows/flake8.yml) [](https://github.com/fjosw/pyerrors/actions/workflows/pytest.yml) [](https://github.com/fjosw/pyerrors/actions/workflows/examples.yml) [](https://github.com/fjosw/pyerrors/actions/workflows/docs.yml) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT)
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[](https://github.com/fjosw/pyerrors/actions/workflows/flake8.yml) [](https://github.com/fjosw/pyerrors/actions/workflows/pytest.yml) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://mybinder.org/v2/gh/fjosw/pyerrors/HEAD?labpath=examples)
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# pyerrors
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`pyerrors` is a python package for error computation and propagation of Markov chain Monte Carlo data.
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@ -21,6 +21,7 @@
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import pyerrors as pe"
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]
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@ -32,7 +33,8 @@
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"outputs": [],
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"source": [
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"plt.style.use('./base_style.mplstyle')\n",
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"plt.rc('text', usetex=True)"
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"usetex = matplotlib.checkdep_usetex(True)\n",
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"plt.rc('text', usetex=usetex)"
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]
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},
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{
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import pyerrors as pe"
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]
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@ -20,7 +21,8 @@
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"outputs": [],
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"source": [
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"plt.style.use('./base_style.mplstyle')\n",
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"plt.rc('text', usetex=True)"
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"usetex = matplotlib.checkdep_usetex(True)\n",
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"plt.rc('text', usetex=usetex)"
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]
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},
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{
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@ -480,7 +482,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@ -494,7 +496,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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@ -7,6 +7,7 @@
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import pyerrors as pe"
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]
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"outputs": [],
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"source": [
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"plt.style.use('./base_style.mplstyle')\n",
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"plt.rc('text', usetex=True)"
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"usetex = matplotlib.checkdep_usetex(True)\n",
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"plt.rc('text', usetex=usetex)"
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]
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},
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{
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@ -6,9 +6,10 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"import pyerrors as pe\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt"
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import pyerrors as pe"
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]
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},
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{
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@ -18,7 +19,8 @@
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"outputs": [],
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"source": [
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"plt.style.use('./base_style.mplstyle')\n",
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"plt.rc('text', usetex=True)"
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"usetex = matplotlib.checkdep_usetex(True)\n",
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"plt.rc('text', usetex=usetex)"
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]
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},
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{
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@ -439,7 +441,7 @@
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"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
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},
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"kernelspec": {
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"display_name": "Python 3.8.10 64-bit",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@ -393,7 +393,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@ -407,7 +407,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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@ -7,6 +7,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import pyerrors as pe"
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]
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@ -18,7 +19,9 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.style.use('./base_style.mplstyle'); plt.rc('text', usetex=True)"
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"plt.style.use('./base_style.mplstyle')\n",
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"usetex = matplotlib.checkdep_usetex(True)\n",
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"plt.rc('text', usetex=usetex)"
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]
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},
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{
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@ -305,7 +308,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@ -8,6 +8,8 @@ It is based on the gamma method [arXiv:hep-lat/0306017](https://arxiv.org/abs/he
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- non-linear fits with x- and y-errors and exact linear error propagation based on automatic differentiation as introduced in [arXiv:1809.01289](https://arxiv.org/abs/1809.01289).
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- real and complex matrix operations and their error propagation based on automatic differentiation (Matrix inverse, Cholesky decomposition, calculation of eigenvalues and eigenvectors, singular value decomposition...).
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More detailed examples can found in the [GitHub repository](https://github.com/fjosw/pyerrors/tree/develop/examples) [](https://mybinder.org/v2/gh/fjosw/pyerrors/HEAD?labpath=examples).
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There exist similar publicly available implementations of gamma method error analysis suites in [Fortran](https://gitlab.ift.uam-csic.es/alberto/aderrors), [Julia](https://gitlab.ift.uam-csic.es/alberto/aderrors.jl) and [Python](https://github.com/mbruno46/pyobs).
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## Basic example
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@ -443,8 +445,10 @@ Julia I/O routines for the json.gz format, compatible with [ADerrors.jl](https:/
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# Citing
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If you use `pyerrors` for research that leads to a publication please consider citing:
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- Ulli Wolff, *Monte Carlo errors with less errors*. Comput.Phys.Commun. 156 (2004) 143-153, Comput.Phys.Commun. 176 (2007) 383 (erratum).
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- Stefan Schaefer, Rainer Sommer, Francesco Virotta, *Critical slowing down and error analysis in lattice QCD simulations*. Nucl.Phys.B 845 (2011) 93-119.
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- Alberto Ramos, *Automatic differentiation for error analysis of Monte Carlo data*. Comput.Phys.Commun. 238 (2019) 19-35.
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and
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- Stefan Schaefer, Rainer Sommer, Francesco Virotta, *Critical slowing down and error analysis in lattice QCD simulations*. Nucl.Phys.B 845 (2011) 93-119.
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where applicable.
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'''
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from .obs import *
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from .correlators import *
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