Python tools to collect astronomical data.
This is a python package dedicated to collect up-to-date astronomical data from both observational and modelling campaigns, with a focus on galaxy properties. Current package includes 1) statistical properties such as the number densities of galaxies (as functions of stellar mass, UV magnitude, star formation rate) and AGN (as functions of black hole mass, quasar UV/optical/bolometric luminosities); 2) correlations between galaxies properties such as the Magorrian relation, Tully Fisher relation, Disk size - stellar mass relation, and halo - stellar mass relation, etc; and 3) clustering of quasars such as the two point correlation function.
Current modelling results include DRAGONS (Meraxes).
$ pip install git+https://github.com/qyx268/astrodatapy
read quasar two point correlation function at z = 4 with a redshift range of [3.5, 4.5]
>>> from astrodatapy.clustering import clustering
>>> obs = clustering(feature = 'QC_2PTCF', z_target = 4.0, z_tol = 0.5)
You are requesting QC_2PTCF at z_target=4.00 with a tolerance of z_tol=0.50 and h=1.000
quiet=True to silent
available data of QC_2PTCF includes:
Shen2007 Shen2009 He2018 Eftekharzadeh2015 Chehade2016 Retana-Montenegro2016
Loading observational data from He2018...
Filename /home/yqin/.local/lib/python3.6/site-packages/astrodatapy-0.0.dev29-py3.6.egg/astrodatapy/data//QC_2PTCF/z3pt8.dat
..done
>>> # show all available data of QC_2PTCF
>>> print(obs.available_observation)
['Shen2007' 'Shen2009' 'He2018' 'Eftekharzadeh2015' 'Chehade2016'
'Retana-Montenegro2016']
>>> # show redshifts of all available data of QC_2PTCF
>>> print(obs.z_available_observation)
[0.6 1.5 3.8 2.5 3.2 4.5]
>>> # show the target data of QC_2PTCF at z = 4
>>> print(obs.target_observation)
DataType FileName Data
Name
He2018 PowerLaw_2COMPONENTS z3pt8.dat [[0.10115794542598985, 6345.99167885821, 12459...read Magorrian Relation at redshift 0, output with h=0.678, and do not show information
>>> from astrodatapy.correlation import correlation
>>> obs = correlation(feature = 'Magorrian', z_target = 0, quiet = 1, h = 0.678)plot galaxy stellar mass function at redshift 5 and show labels
>>> import matplotlib.pyplot as plt
>>> from astrodatapy.number_density import number_density
>>> colors = ['#e41a1c','#377eb8','#4daf4a','#984ea3','#ff7f00','#a65628','#f781bf','#999999'] * 4
>>> markers = ['o','s','v','^','<','>','p','*','D','.','8'] * 4
>>> linestyles = ['-','--','-.',':']
>>>
>>> z = 5.0
>>> obs = number_density(feature = 'GSMF', z_target = 5.0, quiet = 1, h=0.678)
>>>
>>> j_data = 0
>>> k_func = 0
>>> fig, ax = plt.subplots(1, 1)
>>> for ii in range(obs.n_target_observation):
>>> data = obs.target_observation['Data'].iloc[ii]
>>> label = obs.target_observation.index[ii]
>>> datatype = obs.target_observation['DataType'].iloc[ii]
>>> color = colors[ii]
>>> marker = markers[j_data]
>>> linestyle = linestyles[k_func]
>>> data[:,1:] = np.log10(data[:,1:])
>>> if datatype == 'data':
>>> ax.errorbar(data[:,0], data[:,1], yerr = [data[:,1]-data[:,3],data[:,2]- data[:,1]],\
>>> label=label,color=color,fmt=marker)
>>> j_data +=1
>>> elif datatype == 'dataULimit':
>>> ax.errorbar(data[:,0], data[:,1], yerr = -0.2*data[:,1], uplims=True,\
>>> label=label,color=color,fmt=marker)
>>> j_data +=1
>>> else:
>>> ax.plot(data[:,0],data[:,1],label=label,color=color,linestyle=linestyle,lw=3)
>>> ax.fill_between(data[:,0], data[:,2],data[:,3],color=color,alpha=0.5)
>>> k_func +=1
>>>
>>> ax.set_xlim(7, 13)
>>> ax.set_ylim(-7, -0.5)
>>> ax.text(0.95,0.95, "z=%.2f"%z,horizontalalignment='right',\
>>> verticalalignment='top',transform=ax.transAxes)
>>> leg = ax.legend(loc='lower left')
>>> leg.get_frame().set_alpha(0.5)
>>> ax.set_xlabel(r"$\log_{10}[M_*/{\rm M_{\odot}}]$")
>>> ax.set_ylabel(r"$\log_{10}[\rm \phi/Mpc^{-3} dex^{-1}]$")
>>> plt.savefig('./GSMF.png',bbox_inches='tight')
More examples can be found in this jupyter notebook.
http://astrodatapy.readthedocs.io
| Features | Descriptions |
| BHM | Black Hole Mass |
| BHMF | Black Hole Mass Function |
| GLF_UV | Galaxy Luminosity Function -- UV |
| GSMF | Galaxy Stellar Mass Function -- all |
| GSMF_Blue | Galaxy Stellar Mass Function -- blue |
| GSMF_Bulge | Galaxy Stellar Mass Function -- bulge |
| GSMF_Disk | Galaxy Stellar Mass Function -- disk |
| GSMF_Quiescent | Galaxy Stellar Mass Function -- quiescent |
| GSMF_Red | Galaxy Stellar Mass Function -- red |
| QLF_bolometric | Quasar Luminosity Function -- bolometric |
| QLF_optical | Quasar Luminosity Function -- optical |
| QLF_UV | Quasar Luminosity Function -- UV |
| SFRF | Star Formation Rate Function |
| Features | Descriptions |
| BHM | Black Hole Mass |
| Magorrian | Black Hole - Galaxy Bulge Mass Scaling Relation |
| Tully_Fisher | Mass - Velocity of Spiral Galaxies |
| DiskSize_StellarMass | DiskSize - StellarMass |
| GasFraction_StellarMass | GasFraction - StellarMass |
| sSFR_StellarMass_Blue | sSFR - StellarMass -- blue |
| HaloMass_StellarMass | HaloMass - StellarMass |
| HaloMass_StellarMass_Blue | HaloMass - StellarMass -- blue |
| HaloMass_StellarMass_Red | HaloMass - StellarMass -- red |
| Features | Descriptions |
| QC_2PTCF | Quasar Clustering -- 2 point correlation function |
- Free software: BSD license
- This project is Copyright (c) Yuxiang Qin and licensed under the terms of the BSD 3-Clause license. See the licenses folder for more information.
- Yuxiang Qin (The University of Melbourne)