2QZ [v1.1]

Download this notebook.

# imports

Data

Used this website (on Croom recommendation):  http://www.2dfquasar.org/Spec_Cat/2qzsearch2.html
Restricted to zmin>0.05

Catalog

See file:///Users/xavier/Raw_IGMspec/2dF/2df/html/catalogue.html

#catfil = os.getenv('RAW_IGMSPEC')+'/2dF/2df/cat/2QZ_6QZ_pubcat.txt'
catfil = os.getenv('RAW_IGMSPEC')+'/2dF/2QZ393524355693.out'

cat = Table.read(catfil,format='ascii')

cat[0:3]

<Table length=3>

col1	col2	col3	col4	col5	col6	col7	col8	col9	col10	col11	col12	col13	col14	col15	col16	col17	col18	col19	col20	col21	col22	col23	col24	col25	col26	col27	col28	col29	col30	col31	col32	col33	col34	col35	col36	col37	col38	col39	col40	col41	col42	col43	col44	col45
str16	int64	int64	float64	int64	int64	float64	int64	str10	str25	int64	int64	float64	int64	int64	float64	int64	float64	float64	float64	float64	float64	float64	float64	int64	float64	int64	str9	int64	float64	int64	float64	float64	int64	str9	float64	float64	int64	float64	float64	float64	float64	float64	str20	str20
J120310.0-025755	12	3	10.09	-2	57	54.2	8573	TQN178_111	N_178_244	12	0	36.29	-2	41	12.8	859	-1051.86	17295.65	3.14423174	-0.04689506	20.224	-0.229	-0.612	3	0.9174	11	QSO	20010524	2441.0	168	3.89	0.9113	11	QSO	20000624.0	2441.0	167	0.41	0.0	0.0	0.0	0.02606	-	-
J120427.0-025447	12	4	27.1	-2	54	46.7	8601	TQN178_114	N_178_179_244	12	1	53.29	-2	38	5.3	859	-3200.31	16946.83	3.14983133	-0.04598603	20.621	-0.634	1.112	3	0.3276	11	QSO	20010524	2441.0	184	5.97	0.0	33	??	20000624.0	2441.0	190	0.71	0.0	0.0	0.0	0.02662	-	-
J120434.3-025032	12	4	34.32	-2	50	31.3	8631	TQN178_117	N_178_179_244	12	2	0.51	-2	33	49.9	859	-3402.12	16471.4	3.15035639	-0.04474782	20.798	-0.319	0.406	3	0.4312	11	NELG	20010524	2441.0	190	3.49	0.431	11	NELG	20000624.0	2441.0	189	0.26	0.0	0.0	0.0	0.02582	-	-

Rename columns

clms = ['Name', 'RAh00', 'RAm00', 'RAs00', 'DECd00', 'DECm00', 'DECs00',
       'ID','cat_name', 'Sector', 'RAh50', 'RAm50', 'RAs50', 'DECd50', 'DECm50', 'DECs50',
       'UKST', 'XAPM','YAPM','RA50','DEC50','bj','u-b','b-r','Nobs',
       'z1','q1','ID1','date1','fld1','fiber1','SN1',
       'z2','q2','ID2','date2','fld2','fiber2','SN2',
        'zprev','rflux','Xray','EBV','comm1','comm2']

for ii in range(1,46):
    cat.rename_column('col{:d}'.format(ii), clms[ii-1])

cat[0:3]

<Table length=3>

Name	RAh00	RAm00	RAs00	DECd00	DECm00	DECs00	ID	cat_name	Sector	RAh50	RAm50	RAs50	DECd50	DECm50	DECs50	UKST	XAPM	YAPM	RA50	DEC50	bj	u-b	b-r	Nobs	z1	q1	ID1	date1	fld1	fiber1	SN1	z2	q2	ID2	date2	fld2	fiber2	SN2	zprev	rflux	Xray	EBV	comm1	comm2
str16	int64	int64	float64	int64	int64	float64	int64	str10	str25	int64	int64	float64	int64	int64	float64	int64	float64	float64	float64	float64	float64	float64	float64	int64	float64	int64	str9	int64	float64	int64	float64	float64	int64	str9	float64	float64	int64	float64	float64	float64	float64	float64	str20	str20
J120310.0-025755	12	3	10.09	-2	57	54.2	8573	TQN178_111	N_178_244	12	0	36.29	-2	41	12.8	859	-1051.86	17295.65	3.14423174	-0.04689506	20.224	-0.229	-0.612	3	0.9174	11	QSO	20010524	2441.0	168	3.89	0.9113	11	QSO	20000624.0	2441.0	167	0.41	0.0	0.0	0.0	0.02606	-	-
J120427.0-025447	12	4	27.1	-2	54	46.7	8601	TQN178_114	N_178_179_244	12	1	53.29	-2	38	5.3	859	-3200.31	16946.83	3.14983133	-0.04598603	20.621	-0.634	1.112	3	0.3276	11	QSO	20010524	2441.0	184	5.97	0.0	33	??	20000624.0	2441.0	190	0.71	0.0	0.0	0.0	0.02662	-	-
J120434.3-025032	12	4	34.32	-2	50	31.3	8631	TQN178_117	N_178_179_244	12	2	0.51	-2	33	49.9	859	-3402.12	16471.4	3.15035639	-0.04474782	20.798	-0.319	0.406	3	0.4312	11	NELG	20010524	2441.0	190	3.49	0.431	11	NELG	20000624.0	2441.0	189	0.26	0.0	0.0	0.0	0.02582	-	-

FITS

Long or short?
Over-wrote CD files with those from the website
tar -xvf 2QZspec393524355693.tar

exfits = os.getenv('RAW_IGMSPEC')+'/2dF/2df/fits/ra12_13/J120310.0-025755a.fits.gz'

hdu = fits.open(exfits)
hdu.info()

Filename: /u/xavier/Raw_IGMspec/2dF/2df/fits/ra12_13/J120310.0-025755a.fits.gz
No.    Name         Type      Cards   Dimensions   Format
0    PRIMARY     PrimaryHDU      70   (1024,)      int16 (rescales to float32)
1    BADPIX      ImageHDU        15   (1024,)      uint8
2    VARIANCE    ImageHDU        17   (1024,)      int16 (rescales to float32)

Resolution

2dF

arXiv:astro-ph/9804079

R = 5000./8.6
R

581.3953488372093

6dF

Dead link:  https://www.aao.gov.au/ukst/6df.html
http://adsabs.harvard.edu/abs/2001MNRAS.322L..29C

Time

from astropy.time import Time

t = Time(['2000-06-24'], format='iso',out_subfmt='date')  # Fixes to YYYY-MM-DD
t.iso

array(['2000-06-24'],
      dtype='|S10')