This repo provides a clean implementation of LDC algorithm using all the best practices.
The simulation dataset used in the paper is generated by the cupid.makeclumps simulation in the Starlink software package. For details of Starlink, please visit: http://starlink.eao.hawaii.edu/starlink
Parameter Setting of Simulation Data:
- Peak = [2,10]
- Size1 = [2,2.5]
- Size2 = [3.5,4]
- Size3 = [3,5] (FWHM = 2.3548*Size)
- Trunc = 0.0001
- rms = 1
- [m,n]: Uniform distribution of interval [m,n]
- Data size: 120*120*120
- Number of simulation cloud cores in a single data block:10(low),40(medium),100(high)
- Total number of simulated cloud cores:10000
Parameters setting of simulation cloud cores generation in synthetic datasets:
- Peak = [2,5]
- Size1 = [0.5,2]
- Size2 = [0.5,2]
- Size3 = [2,7]
- rms = 0
- [m,n]: Uniform distribution of interval [m,n]
- Data size: 181*361*68(Same size as M16 13CO spectral data)
- Randomly selected 15 synthetic single uncut simulation cloud cores to any location, while removing parts beyond the 13CO data block boundary.
- Total number of simulated cloud cores:10000
- ρ_0=3σ
- δ_0=4
- ∇_0=0.01
- n_0=128
- d_c=0.8
- FELLWALKER.MAXJUMP=3.3
- FELLWALKER.MINDIP=1*RMS
- FELLWALKER.MINHEIGHT=1*RMS
- FELLWALKER.MINPIX=128
- FELLWALKER.NOISE=RMS
- GAUSSCLUMPS.MINWF=0.8
- GAUSSCLUMPS.MODELLIM=0.5
- GAUSSCLUMPS.NPAD=10
- GAUSSCLUMPS.NPEAK=9
- GAUSSCLUMPS.NSIGMA=3
- GAUSSCLUMPS.NWF=10
- GAUSSCLUMPS.RMS=1
- GAUSSCLUMPS.S0=1
- GAUSSCLUMPS.SA=1
- GAUSSCLUMPS.SB=0.1
- GAUSSCLUMPS.SC=1
- GAUSSCLUMPS.THRESH=2
- ρ_0=1.5
- δ_0=4
- ∇_0=0.01
- n_0=27
- d_c=0.6
- FELLWALKER.MAXJUMP=3.3
- FELLWALKER.MINDIP=1*RMS
- FELLWALKER.MINHEIGHT=1*RMS
- FELLWALKER.MINPIX=32
- FELLWALKER.NOISE=RMS
- GAUSSCLUMPS.MINWF=0.8
- GAUSSCLUMPS.MODELLIM=0.5
- GAUSSCLUMPS.NPAD=10
- GAUSSCLUMPS.NPEAK=9
- GAUSSCLUMPS.NSIGMA=3
- GAUSSCLUMPS.NWF=10
- GAUSSCLUMPS.RMS=RMS
- GAUSSCLUMPS.S0=1
- GAUSSCLUMPS.SA=1
- GAUSSCLUMPS.SB=0.1
- GAUSSCLUMPS.SC=1
- GAUSSCLUMPS.THRESH=2