Lmfit: Non-Linear Least-Square Minimization and Curve-Fitting for Python

By Matthew Newville, Antonino Ingargiola, T. Stensitzki, Daniel B. Allen. 2014

1,627 citations recorded by the source corpus.

Subfields: Applied Mathematics, Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/d0bbb66514d75543d8922ed02c50990808e68991

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. J. Winn
2. B. Fulton
3. E. Petigura
4. E. Sinukoff

In Artificial Intelligence

1. J. Winn
2. J. Johnson
3. Timothy Morton
4. Nicholas A. Christakis
5. B. Fulton
6. G. Marcy
7. E. Petigura
8. E. Sinukoff

In Statistical and Nonlinear Physics

1. Timothy Morton
2. E. Petigura
3. Andrew W. Howard
4. G. Marcy
5. J. Johnson
6. B. Fulton
7. H. Isaacson
8. L. Weiss

Citations in the corpus

• RadVel: The Radial Velocity Modeling Toolkit (2018, methodology): “We modeled this dictionary representation after the lmfit (Newville et al. 2014) API which allows users to conveniently interface with variables via string keys (as opposed to integer indexes).”
• The California-Kepler Survey. VII. Precise Planet Radii Leveraging Gaia DR2 Reveal the Stellar Mass Dependence of the Planet Radius Gap (2018, methodology): “We made use of the following publicly available Python modules: astropy (Astropy Collaboration et al. 2013), isoclassify (Huber et al. 2017), lmfit (Newville et al. 2014), matplotlib (Hunter 2007), numpy/scipy (van der Walt et al. 2011), and pandas (McKinney 2010).”
• The California-Kepler Survey. III. A Gap in the Radius Distribution of Small Planets (2017, methodology): “Using the lmfit Python package (Newville et al. 2014) to minimize the residuals we found best-fit values of k = 17.56, l = 1.00 (fixed), and θ = 0.49.”
• Precision Stellar Characterization of FGKM Stars using an Empirical Spectral Library (2017, methodology): “Allowing for v sin i and continuum normalization to float as free parameters, we use a non-linear leastsquares minimization package lmfit (Newville et al. 2014) to minimize χ2, finding the best possible match between the target and reference spectra.”
• The California-Kepler Survey. IV. Metal-rich Stars Host a Greater Diversity of Planets (2017, methodology): “We made use of the following publicly available python modules: astropy (Astropy Collaboration et al. 2013), isoclassify Huber et al. (2017), lmfit (Newville et al. 2014), matplotlib (Hunter 2007), numpy, pandas http://pandas.pydata.org/, and scipy (Jones et al. 2001–) REFERENCES Adams, E. R.,…”
• Population flow drives spatio-temporal distribution of COVID-19 in China (2020, methodology): “Data analysis We used the Levenberg–Marquardt (LM) algorithm for model estimation, and the code was from Newville et al. (2016); Software includes Matlab (R2018a, The MathWorks, Inc.), Python (V.3.7.4, Python Software Foundation), and ArcGIS (V.10.2, Esri).”