This notebook shows (1) how to use ztfquery to obtain the corners of the ZTF quadrants needed to interpret the observation_library for sim_survey. To run this notebook, you will need to have ztfquery installed and setup (2) How to use these in a simulation.



In [1]:

    
from ztfquery import ccd
df = ccd.CCDQUADLAYOUT
df.rename(columns=dict(Quad='rcid', CCD='ccd'), inplace=True)
df.ccd = df.ccd -1
df.rcid = df.rcid + 1
df.ccd.unique()









    Out[1]:





array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15])



In [2]:

    
df = df[['EW', 'NS', 'rcid']].rename(columns=dict(rcid='CCD'))



In [3]:

    
df.head()



In [4]:

    
df.CCD.unique()









    Out[4]:





array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,
       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51,
       52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64])

This was used to create the file containing the corners.

df.to_csv('data/ZTF_corners_rcid.txt', index=False)

In order to use these corner files, do:



In [5]:

    
from simsurvey_tools import load_ztf_ccds



In [6]:

    
len(load_ztf_ccds(filename='data/ZTF_corners_rcid.txt', num_segs=64))









    Out[6]:





64



In [7]:

    
# But really these are ccd quadrants
ccds = load_ztf_ccds(filename='data/ZTF_corners_rcid.txt', num_segs=64)

	EW	NS	CCD
0	2.781842	-2.866617	1
1	2.782178	-2.003445	1
2	3.645452	-2.001932	1
3	3.645011	-2.865003	1
4	1.918673	-2.868231	2