| 
  
   Size: 782 
  
  Comment:  
 | 
  
   Size: 1095 
  
  Comment:  
 | 
| Deletions are marked like this. | Additions are marked like this. | 
| Line 7: | Line 7: | 
| '''''Fluxes (Combes et al. 2012): ''''' | '''''Expected luxes (Combes et al. 2012): ''''' | 
| Line 16: | Line 16: | 
|  .We detect the source at both wavelenghts, shown on the maps given bellow .{{attachment:1mm_map.pdf||width=700,height=400}} {{attachment:2mm_map.pdf||width=700,height=400}}  | 
 .We detect the source at both wavelenghts, shown on the maps given bellow.  {{attachment:1mm_map.pdf||width=700,height=400}} {{attachment:2mm_map.pdf||width=700,height=400}}  | 
| Line 20: | Line 19: | 
|  .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.pdf||width=700,height=400}} {{attachment:2mm_profile.pdf||width=700,height=400}}  | 
|
| Line 21: | Line 22: | 
|  .The time per pixel maps are also shown {{attachment:1mm_time.pdf||width=700,height=400}} {{attachment:2mm_time.pdf||width=700,height=400}}  | 
|
| Line 22: | Line 25: | 
|  .The profiles are computed by averaging the map in concentric annuli .{{attachment:1mm_profile.pdf||width=500,height=400}} {{attachment:2mm_profile.pdf||width=500,height=400}}  | 
.Using Jack-Knives maps, we are able to estimate the noise level in the data. | 
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 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 
 - Using Jack-Knives maps, we are able to estimate the noise level in the data.
 
