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| Rédiger « HLS091828 » ici. | '''Brief analysis of the faint source HLS091828 (z=5.243)''' |
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| Brief analysis of the faint source HLS091828 (z=5.243). | '''''Coordinates:''''' .R.A. = 09h18m28.6s .Dec. = 51d42'23.3" '''''Expected luxes (Combes et al. 2012): ''''' .F1.3sma= 55+-7mJy .F0.88mm= 125+-8mJy .F2mm= 15+-7mJy '''''NIKA obsevations:''''' .''Day:'' 13/06/2013 .''Scans'': 9 Lissajous of 5 min (<=> 45 min) each with followed by tracks (for tuning), 180 to 197 .''Size of the map'':90"x90" .We detect the source at both wavelenghts, shown on the maps given bellow. || {{attachment:1mm_map.png}} || {{attachment:2mm_map.png||width=550,height=400}} || || [[attachment:1mm_map.pdf]] || [[attachment:2mm_map.pdf]] || .The profiles are computed by averaging the map in concentric annuli, and we check that the measured flux is, a priori, consistent with what we expect. || {{attachment:1mm_profile.png}} || {{attachment:2mm_profile.png}} || || [[attachment:1mm_profile.pdf]] || [[attachment:2mm_profile.pdf]] || .The time per pixel maps are also shown || {{attachment:1mm_time.png}} || {{attachment:2mm_time.png}} || || [[attachment:1mm_time.pdf]] || [[attachment:2mm_time.pdf]] || .Combining Jack-Knife maps and time per pixel maps, we are able to estimate the noise level in the data: || {{attachment:1mm_noise.png}} || {{attachment:2mm_noise.png}} || || [[attachment:1mm_noise.pdf]] || [[attachment:2mm_noise.pdf]] || |
Brief analysis of the faint source HLS091828 (z=5.243)
Coordinates:
- R.A. = 09h18m28.6s
- Dec. = 51d42'23.3"
Expected luxes (Combes et al. 2012):
- F1.3sma= 55+-7mJy
- F0.88mm= 125+-8mJy
- F2mm= 15+-7mJy
NIKA obsevations:
Day: 13/06/2013
Scans: 9 Lissajous of 5 min (<=> 45 min) each with followed by tracks (for tuning), 180 to 197
Size of the map:90"x90"
- We detect the source at both wavelenghts, shown on the maps given bellow.
- The profiles are computed by averaging the map in concentric annuli, and we check that the measured flux is, a priori, consistent with what we expect.
- The time per pixel maps are also shown
- Combining Jack-Knife maps and time per pixel maps, we are able to estimate the noise level in the data:
