yuanshuoastro/chomp

Automatically exported from code.google.com/p/chomp

chomp's Issues

Issues with Mandelbaum and Kravtsov HOD

What steps will reproduce the problem?

hod_dict = {"log_M_0":12.14, "w":     2}
sdss_hod = hod.HODMandelbaum(hod_dict)

What do you see instead?

Traceback (most recent call last):
  File "../cosmosis-standard-library/chomp-9f8ce3c88c6d/examples/example_halo_model.py", line 77, in <module>
    sdss_hod = hod.HODMandelbaum(hod_dict)
  File "/Users/vinu/software/cosmosis/cosmosis-standard-library/chomp-9f8ce3c88c6d/hod.py", line 301, in __init__
    HOD.__init__(self)
TypeError: __init__() takes exactly 2 arguments (1 given)

What version of the product are you using? On what operating system?
Latest version

Original issue reported on code.google.com by vvinuv on 19 Jun 2014 at 10:45

Issue with dndm in mass_function

The code doesn't properly reflect redshift dependance in dndm within 
mass_function.py, High mass halos have higher values of dndm at higher 
redshifts than lower redshifts according to this code. This is not correct.

See the below code: 

sample = numpy.logspace(11,16,10)
z = 0.5
cosmo = cosmology.SingleEpoch(redshift=z, cosmo_dict=cosmo_dict, with_bao=False)
cosmo_0 = cosmology.SingleEpoch(redshift=0, cosmo_dict=cosmo_dict, 
with_bao=False)
halo = mass_function.MassFunction(redshift=z, cosmo_single_epoch=cosmo, 
halo_dict=halo_dict)
halo_0 = mass_function.MassFunction(redshift=0, cosmo_single_epoch=cosmo_0, 
halo_dict=halo_dict)
#def main(z, Mass, halo_dict=halo_dict, cosmo_dict = cosmo_dict):
for i in sample:
     print i, halo.dndm(i), halo_0.dndm(i)

output: (mass, redshift_0.5, redshift_0)

100000000000.0 8.61351149916e-13 2.65752396915e-13
359381366380.0 7.58494039016e-14 2.38364618837e-14
1.29154966501e+12 6.59518658828e-15 2.11901506138e-15
4.64158883361e+12 5.57429763919e-16 1.83674899106e-16
1.6681005372e+13 4.44080639285e-17 1.50020001669e-17
5.99484250319e+13 3.12979437432e-18 1.06969035187e-18
2.15443469003e+14 1.70217578332e-19 5.59243701388e-20
7.74263682681e+14 5.23716718975e-21 1.40256900589e-21
2.78255940221e+15 4.30629561401e-23 5.63030877376e-24
1e+16 1.35395518901e-26 1.67545857554e-28
benh:chomp-650b1f5371a3 benjaminhorowitz$ python MF_test.py 
100000000000.0 8.61351149916e-13 2.65752396915e-13
359381366380.0 7.58494039016e-14 2.38364618837e-14
1.29154966501e+12 6.59518658828e-15 2.11901506138e-15
4.64158883361e+12 5.57429763919e-16 1.83674899106e-16
1.6681005372e+13 4.44080639285e-17 1.50020001669e-17
5.99484250319e+13 3.12979437432e-18 1.06969035187e-18
2.15443469003e+14 1.70217578332e-19 5.59243701388e-20
7.74263682681e+14 5.23716718975e-21 1.40256900589e-21
2.78255940221e+15 4.30629561401e-23 5.63030877376e-24
1e+16 1.35395518901e-26 1.67545857554e-28

Original issue reported on code.google.com by [email protected] on 27 Jun 2014 at 10:18

cosmology.MultiEpoch.comoving_distance has O(1e-7) interpolation errors with default settings

What steps will reproduce the problem?

import defaults
import cosmology

cosmo1 = cosmology.MultiEpoch(z_min=0, z_max=5, 
cosmo_dict=defaults.default_cosmo_dict)
d1 = cosmo1.comoving_distance(0.2)
print "d(z=1): {}".format(d1)

defaults.default_precision["cosmo_npoints"] = 500
cosmo2 = cosmology.MultiEpoch(z_min=0, z_max=5, 
cosmo_dict=defaults.default_cosmo_dict)
d2 = cosmo2.comoving_distance(0.2)
print "d(z=1): {}".format(d2)

print "Fractional error: {}".format((d1 - d2) / d2)

Proposed solution: Change defaults.default_precision["cosmo_npoints"] to a 
larger number (e.g., 500). This is a slower initialization for cosmology 
objects, but should help users get the expected precision 
(defaults.default_precision["cosmo_precision"] is set to 1.48e-8). 

Original issue reported on code.google.com by [email protected] on 1 Jan 2015 at 8:31