%global _empty_manifest_terminate_build 0 Name: python-laspec Version: 2022.804.0 Release: 1 Summary: Modules for LAMOST spectra. License: MIT URL: http://github.com/hypergravity/laspec Source0: https://mirrors.aliyun.com/pypi/web/packages/38/fb/a0f7b2b0612864565534484a953e8baa6dac3668248aba3f28d8d19538d6/laspec-2022.804.0.tar.gz BuildArch: noarch %description ## laspec [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4381155.svg)](https://doi.org/10.5281/zenodo.4381155) ![Upload Python Package](https://github.com/hypergravity/laspec/workflows/Upload%20Python%20Package/badge.svg) [![Documentation Status](https://readthedocs.org/projects/laspec/badge/?version=latest)](https://laspec.readthedocs.io/en/latest/?badge=latest) A toolkit for LAMOST spectra. ## citation If you make use of this package in your research, please cite the paper below: - [Self-consistent Stellar Radial Velocities from LAMOST Medium-Resolution Survey (MRS) DR7](https://ui.adsabs.harvard.edu/abs/2021ApJS..256...14Z/abstract) - [Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)](https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z/abstract) bibtex: ``` @ARTICLE{2021ApJS..256...14Z, author = {{Zhang}, Bo and {Li}, Jiao and {Yang}, Fan and {Xiong}, Jian-Ping and {Fu}, Jian-Ning and {Liu}, Chao and {Tian}, Hao and {Li}, Yin-Bi and {Wang}, Jia-Xin and {Liang}, Cai-Xia and {Zhou}, Yu-Tao and {Zong}, Weikai and {Yang}, Cheng-Qun and {Liu}, Nian and {Hou}, Yong-Hui}, title = "{Self-consistent Stellar Radial Velocities from LAMOST Medium-resolution Survey DR7}", journal = {\apjs}, keywords = {Radial velocity, Surveys, Astronomy data analysis, Astronomy data reduction, Spectroscopic binary stars, Radio spectroscopy, Spectroscopy, Catalogs, Sky surveys, Astrostatistics, Robust regression, 1332, 1671, 1858, 1861, 1557, 1359, 1558, 205, 1464, 1882, 1949, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = 2021, month = sep, volume = {256}, number = {1}, eid = {14}, pages = {14}, doi = {10.3847/1538-4365/ac0834}, archivePrefix = {arXiv}, eprint = {2105.11624}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2021ApJS..256...14Z}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } @ARTICLE{2020ApJS..246....9Z, author = {{Zhang}, Bo and {Liu}, Chao and {Deng}, Li-Cai}, title = "{Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)}", journal = {\apjs}, keywords = {Astronomical methods, Astronomy data analysis, Bayesian statistics, Stellar abundances, Chemical abundances, Fundamental parameters of stars, Catalogs, Surveys, 1043, 1858, 1900, 1577, 224, 555, 205, 1671, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = 2020, month = jan, volume = {246}, number = {1}, eid = {9}, pages = {9}, doi = {10.3847/1538-4365/ab55ef}, archivePrefix = {arXiv}, eprint = {1908.08677}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } ``` ## author Bo Zhang, [bozhang@nao.cas.cn](mailto:bozhang@nao.cas.cn) ## home page - github: [https://github.com/hypergravity/laspec](https://github.com/hypergravity/laspec) - PYPI: [https://pypi.org/project/laspec/](https://pypi.org/project/laspec/) ## install ```bash git clone https://github.com/hypergravity/laspec.git cd laspec sh install.sh ``` ## doumentation A documentation on ReadTheDoc will be updated soon ... Link to the doc: [https://laspec.readthedocs.io/en/latest/](https://laspec.readthedocs.io/en/latest/) ## module structure - **binning** \ module for rebinning spectra - rebin(wave, flux, flux_err, mask): rebin spectra - **ccf** \ module for cross correlation function - sine_bell: a sine bell function - wxcorr: weigted cross-correlation - wxcorr_cost: negative CCF function - wxcorr_spec: weigted cross-correlation of two spectra - wxcorr_rvgrid: weighted cross correlation given an RV grid - wxcorr_cost_binary: negative CCF function - wxcorr_spec_binary: weigted cross-correlation of two spectra - wxcorr_rvgrid_binary: weighted cross correlation given an RV grid - **RVM** Radial Velocity Machine - measure: measure the RV of single stars - measure_binary: measure the RV of binary systems - **convolution** \ module for spectral Gaussian convolution - conv_spec: capable to tackle arbitrary R_hi and R_lo but relatively slow - **interpolation** \ interpolation, but slow, please do not use. - Interp1q: use numpy.interp instead - **lamost** \ module for LAMOST spectra and files - lamost_filepath(planid, mjd, spid, fiberid) - lamost_filepath_med(planid, mjd, spid, fiberid) - sdss_filepath(plate, mjd, fiberid) - **mrs** \ MRS module - MrsSpec: MRS spectrum (B / R) - MrsEpoch: MRS epoch spectrum (B + R) - MrsFits(astropy.io.fits.HDUList): MRS fits reader - MrsSource(numpy.ndarray): MRS source constructor - **line_indices** \ module to measure spectral line index (EW) - measure_line_index: measure line index (EW) - **normalization** \ module to normalize spectra - normalize_spectrum_spline: a Python version of Chao's method (recommended) - normalize_spectrum_poly: polynomial normalization - normalize_spectrum_general： a unified wrapper of spline and poly - NOTE: bad pixels (e.g., cosmic rays) should be properly removed before normallization - **qconv** \ quick convolution, designed for two cases: - conv_spec_Gaussian(wave, flux, R_hi=3e5, R_lo=2000): scalar resolution to scalar resolution instrumental broadening - conv_spec_Rotation(wave, flux, vsini=100., epsilon=0.6): stellar rotation broadening - **read_spectrum** \ module to read LAMOST/SDSS spectra - read_spectrum(fp): read LAMOST low-res spectra - read_lamostms(fp): read LAMOST medium-res spcetra - **spec** \ modules for operations on general spectra (deprecated) - Spec: spec class - **wavelength** \ module to convert wavelength between air and vacuum - wave_log10: log10 wavelength grid - vac2air: convert wavelength from vacuum to air - air2vac: convert wavelength from air to vacuum ## acknowledgements ... %package -n python3-laspec Summary: Modules for LAMOST spectra. Provides: python-laspec BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-laspec ## laspec [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4381155.svg)](https://doi.org/10.5281/zenodo.4381155) ![Upload Python Package](https://github.com/hypergravity/laspec/workflows/Upload%20Python%20Package/badge.svg) [![Documentation Status](https://readthedocs.org/projects/laspec/badge/?version=latest)](https://laspec.readthedocs.io/en/latest/?badge=latest) A toolkit for LAMOST spectra. ## citation If you make use of this package in your research, please cite the paper below: - [Self-consistent Stellar Radial Velocities from LAMOST Medium-Resolution Survey (MRS) DR7](https://ui.adsabs.harvard.edu/abs/2021ApJS..256...14Z/abstract) - [Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)](https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z/abstract) bibtex: ``` @ARTICLE{2021ApJS..256...14Z, author = {{Zhang}, Bo and {Li}, Jiao and {Yang}, Fan and {Xiong}, Jian-Ping and {Fu}, Jian-Ning and {Liu}, Chao and {Tian}, Hao and {Li}, Yin-Bi and {Wang}, Jia-Xin and {Liang}, Cai-Xia and {Zhou}, Yu-Tao and {Zong}, Weikai and {Yang}, Cheng-Qun and {Liu}, Nian and {Hou}, Yong-Hui}, title = "{Self-consistent Stellar Radial Velocities from LAMOST Medium-resolution Survey DR7}", journal = {\apjs}, keywords = {Radial velocity, Surveys, Astronomy data analysis, Astronomy data reduction, Spectroscopic binary stars, Radio spectroscopy, Spectroscopy, Catalogs, Sky surveys, Astrostatistics, Robust regression, 1332, 1671, 1858, 1861, 1557, 1359, 1558, 205, 1464, 1882, 1949, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = 2021, month = sep, volume = {256}, number = {1}, eid = {14}, pages = {14}, doi = {10.3847/1538-4365/ac0834}, archivePrefix = {arXiv}, eprint = {2105.11624}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2021ApJS..256...14Z}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } @ARTICLE{2020ApJS..246....9Z, author = {{Zhang}, Bo and {Liu}, Chao and {Deng}, Li-Cai}, title = "{Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)}", journal = {\apjs}, keywords = {Astronomical methods, Astronomy data analysis, Bayesian statistics, Stellar abundances, Chemical abundances, Fundamental parameters of stars, Catalogs, Surveys, 1043, 1858, 1900, 1577, 224, 555, 205, 1671, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = 2020, month = jan, volume = {246}, number = {1}, eid = {9}, pages = {9}, doi = {10.3847/1538-4365/ab55ef}, archivePrefix = {arXiv}, eprint = {1908.08677}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } ``` ## author Bo Zhang, [bozhang@nao.cas.cn](mailto:bozhang@nao.cas.cn) ## home page - github: [https://github.com/hypergravity/laspec](https://github.com/hypergravity/laspec) - PYPI: [https://pypi.org/project/laspec/](https://pypi.org/project/laspec/) ## install ```bash git clone https://github.com/hypergravity/laspec.git cd laspec sh install.sh ``` ## doumentation A documentation on ReadTheDoc will be updated soon ... Link to the doc: [https://laspec.readthedocs.io/en/latest/](https://laspec.readthedocs.io/en/latest/) ## module structure - **binning** \ module for rebinning spectra - rebin(wave, flux, flux_err, mask): rebin spectra - **ccf** \ module for cross correlation function - sine_bell: a sine bell function - wxcorr: weigted cross-correlation - wxcorr_cost: negative CCF function - wxcorr_spec: weigted cross-correlation of two spectra - wxcorr_rvgrid: weighted cross correlation given an RV grid - wxcorr_cost_binary: negative CCF function - wxcorr_spec_binary: weigted cross-correlation of two spectra - wxcorr_rvgrid_binary: weighted cross correlation given an RV grid - **RVM** Radial Velocity Machine - measure: measure the RV of single stars - measure_binary: measure the RV of binary systems - **convolution** \ module for spectral Gaussian convolution - conv_spec: capable to tackle arbitrary R_hi and R_lo but relatively slow - **interpolation** \ interpolation, but slow, please do not use. - Interp1q: use numpy.interp instead - **lamost** \ module for LAMOST spectra and files - lamost_filepath(planid, mjd, spid, fiberid) - lamost_filepath_med(planid, mjd, spid, fiberid) - sdss_filepath(plate, mjd, fiberid) - **mrs** \ MRS module - MrsSpec: MRS spectrum (B / R) - MrsEpoch: MRS epoch spectrum (B + R) - MrsFits(astropy.io.fits.HDUList): MRS fits reader - MrsSource(numpy.ndarray): MRS source constructor - **line_indices** \ module to measure spectral line index (EW) - measure_line_index: measure line index (EW) - **normalization** \ module to normalize spectra - normalize_spectrum_spline: a Python version of Chao's method (recommended) - normalize_spectrum_poly: polynomial normalization - normalize_spectrum_general： a unified wrapper of spline and poly - NOTE: bad pixels (e.g., cosmic rays) should be properly removed before normallization - **qconv** \ quick convolution, designed for two cases: - conv_spec_Gaussian(wave, flux, R_hi=3e5, R_lo=2000): scalar resolution to scalar resolution instrumental broadening - conv_spec_Rotation(wave, flux, vsini=100., epsilon=0.6): stellar rotation broadening - **read_spectrum** \ module to read LAMOST/SDSS spectra - read_spectrum(fp): read LAMOST low-res spectra - read_lamostms(fp): read LAMOST medium-res spcetra - **spec** \ modules for operations on general spectra (deprecated) - Spec: spec class - **wavelength** \ module to convert wavelength between air and vacuum - wave_log10: log10 wavelength grid - vac2air: convert wavelength from vacuum to air - air2vac: convert wavelength from air to vacuum ## acknowledgements ... %package help Summary: Development documents and examples for laspec Provides: python3-laspec-doc %description help ## laspec [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4381155.svg)](https://doi.org/10.5281/zenodo.4381155) ![Upload Python Package](https://github.com/hypergravity/laspec/workflows/Upload%20Python%20Package/badge.svg) [![Documentation Status](https://readthedocs.org/projects/laspec/badge/?version=latest)](https://laspec.readthedocs.io/en/latest/?badge=latest) A toolkit for LAMOST spectra. ## citation If you make use of this package in your research, please cite the paper below: - [Self-consistent Stellar Radial Velocities from LAMOST Medium-Resolution Survey (MRS) DR7](https://ui.adsabs.harvard.edu/abs/2021ApJS..256...14Z/abstract) - [Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)](https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z/abstract) bibtex: ``` @ARTICLE{2021ApJS..256...14Z, author = {{Zhang}, Bo and {Li}, Jiao and {Yang}, Fan and {Xiong}, Jian-Ping and {Fu}, Jian-Ning and {Liu}, Chao and {Tian}, Hao and {Li}, Yin-Bi and {Wang}, Jia-Xin and {Liang}, Cai-Xia and {Zhou}, Yu-Tao and {Zong}, Weikai and {Yang}, Cheng-Qun and {Liu}, Nian and {Hou}, Yong-Hui}, title = "{Self-consistent Stellar Radial Velocities from LAMOST Medium-resolution Survey DR7}", journal = {\apjs}, keywords = {Radial velocity, Surveys, Astronomy data analysis, Astronomy data reduction, Spectroscopic binary stars, Radio spectroscopy, Spectroscopy, Catalogs, Sky surveys, Astrostatistics, Robust regression, 1332, 1671, 1858, 1861, 1557, 1359, 1558, 205, 1464, 1882, 1949, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = 2021, month = sep, volume = {256}, number = {1}, eid = {14}, pages = {14}, doi = {10.3847/1538-4365/ac0834}, archivePrefix = {arXiv}, eprint = {2105.11624}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2021ApJS..256...14Z}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } @ARTICLE{2020ApJS..246....9Z, author = {{Zhang}, Bo and {Liu}, Chao and {Deng}, Li-Cai}, title = "{Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)}", journal = {\apjs}, keywords = {Astronomical methods, Astronomy data analysis, Bayesian statistics, Stellar abundances, Chemical abundances, Fundamental parameters of stars, Catalogs, Surveys, 1043, 1858, 1900, 1577, 224, 555, 205, 1671, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = 2020, month = jan, volume = {246}, number = {1}, eid = {9}, pages = {9}, doi = {10.3847/1538-4365/ab55ef}, archivePrefix = {arXiv}, eprint = {1908.08677}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } ``` ## author Bo Zhang, [bozhang@nao.cas.cn](mailto:bozhang@nao.cas.cn) ## home page - github: [https://github.com/hypergravity/laspec](https://github.com/hypergravity/laspec) - PYPI: [https://pypi.org/project/laspec/](https://pypi.org/project/laspec/) ## install ```bash git clone https://github.com/hypergravity/laspec.git cd laspec sh install.sh ``` ## doumentation A documentation on ReadTheDoc will be updated soon ... Link to the doc: [https://laspec.readthedocs.io/en/latest/](https://laspec.readthedocs.io/en/latest/) ## module structure - **binning** \ module for rebinning spectra - rebin(wave, flux, flux_err, mask): rebin spectra - **ccf** \ module for cross correlation function - sine_bell: a sine bell function - wxcorr: weigted cross-correlation - wxcorr_cost: negative CCF function - wxcorr_spec: weigted cross-correlation of two spectra - wxcorr_rvgrid: weighted cross correlation given an RV grid - wxcorr_cost_binary: negative CCF function - wxcorr_spec_binary: weigted cross-correlation of two spectra - wxcorr_rvgrid_binary: weighted cross correlation given an RV grid - **RVM** Radial Velocity Machine - measure: measure the RV of single stars - measure_binary: measure the RV of binary systems - **convolution** \ module for spectral Gaussian convolution - conv_spec: capable to tackle arbitrary R_hi and R_lo but relatively slow - **interpolation** \ interpolation, but slow, please do not use. - Interp1q: use numpy.interp instead - **lamost** \ module for LAMOST spectra and files - lamost_filepath(planid, mjd, spid, fiberid) - lamost_filepath_med(planid, mjd, spid, fiberid) - sdss_filepath(plate, mjd, fiberid) - **mrs** \ MRS module - MrsSpec: MRS spectrum (B / R) - MrsEpoch: MRS epoch spectrum (B + R) - MrsFits(astropy.io.fits.HDUList): MRS fits reader - MrsSource(numpy.ndarray): MRS source constructor - **line_indices** \ module to measure spectral line index (EW) - measure_line_index: measure line index (EW) - **normalization** \ module to normalize spectra - normalize_spectrum_spline: a Python version of Chao's method (recommended) - normalize_spectrum_poly: polynomial normalization - normalize_spectrum_general： a unified wrapper of spline and poly - NOTE: bad pixels (e.g., cosmic rays) should be properly removed before normallization - **qconv** \ quick convolution, designed for two cases: - conv_spec_Gaussian(wave, flux, R_hi=3e5, R_lo=2000): scalar resolution to scalar resolution instrumental broadening - conv_spec_Rotation(wave, flux, vsini=100., epsilon=0.6): stellar rotation broadening - **read_spectrum** \ module to read LAMOST/SDSS spectra - read_spectrum(fp): read LAMOST low-res spectra - read_lamostms(fp): read LAMOST medium-res spcetra - **spec** \ modules for operations on general spectra (deprecated) - Spec: spec class - **wavelength** \ module to convert wavelength between air and vacuum - wave_log10: log10 wavelength grid - vac2air: convert wavelength from vacuum to air - air2vac: convert wavelength from air to vacuum ## acknowledgements ... %prep %autosetup -n laspec-2022.804.0 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-laspec -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 2022.804.0-1 - Package Spec generated