Difference: GoodsNorth (1 vs. 6)

Revision 613 Oct 2019 - Main.TWikiGuest

Line: 1 to 1
 
META TOPICPARENT name="PhatTestSteps"

Observational catalogue, GOODS-North

Line: 23 to 23
 -- HendrikHildebrandt - 15 Dec 2008
Added:
>
>
Refrence
 Juegos de futbol
Added:
>
>
cara menghapus akun akulaku
 doa mandi wajib

META FILEATTACHMENT attachment="HDFN.tar.gz" attr="" comment="catalogue and filter curves" date="1218613498" name="HDFN.tar.gz" path="HDFN.tar.gz" size="645362" stream="HDFN.tar.gz" user="Main.TWikiGuest" version="1"

Revision 523 Sep 2019 - Main.TWikiGuest

Line: 1 to 1
 
META TOPICPARENT name="PhatTestSteps"

Observational catalogue, GOODS-North

Many people requested to have a next test step that involves real data. While this is not the most systematic route it is probably the most exciting. We can still go one or two steps back with dedicated simulations later.

Changed:
<
<
>
>
arti mimpi
 Peter Capak has compiled a catalogue with observational data from the GOODS-North field which you can download here together with the filter curves:

HDFN.tar.gz

Revision 403 Aug 2019 - Main.TWikiGuest

Line: 1 to 1
 
META TOPICPARENT name="PhatTestSteps"

Observational catalogue, GOODS-North

Line: 24 to 24
 -- HendrikHildebrandt - 15 Dec 2008

Juegos de futbol

Added:
>
>
doa mandi wajib
 
META FILEATTACHMENT attachment="HDFN.tar.gz" attr="" comment="catalogue and filter curves" date="1218613498" name="HDFN.tar.gz" path="HDFN.tar.gz" size="645362" stream="HDFN.tar.gz" user="Main.TWikiGuest" version="1"
META FILEATTACHMENT attachment="z_dist.png" attr="" comment="" date="1229338288" name="z_dist.png" path="z_dist.png" size="14704" stream="z_dist.png" user="Main.TWikiGuest" version="1"

Revision 322 May 2019 - Main.TWikiGuest

Line: 1 to 1
 
META TOPICPARENT name="PhatTestSteps"

Observational catalogue, GOODS-North

Line: 23 to 23
 -- HendrikHildebrandt - 15 Dec 2008
Added:
>
>
Juegos de futbol
 
META FILEATTACHMENT attachment="HDFN.tar.gz" attr="" comment="catalogue and filter curves" date="1218613498" name="HDFN.tar.gz" path="HDFN.tar.gz" size="645362" stream="HDFN.tar.gz" user="Main.TWikiGuest" version="1"
META FILEATTACHMENT attachment="z_dist.png" attr="" comment="" date="1229338288" name="z_dist.png" path="z_dist.png" size="14704" stream="z_dist.png" user="Main.TWikiGuest" version="1"

Revision 215 Dec 2008 - Main.TWikiGuest

Line: 1 to 1
 
META TOPICPARENT name="PhatTestSteps"

Observational catalogue, GOODS-North

Line: 8 to 8
 HDFN.tar.gz
Changed:
<
<
The catalogue contains photometry in 18 bands for 1984 objects originating from different observing programmes and spanning a wide redshift range. One quarter of the objects comes with spectroscopic redshifts for training purposes. All other objects have their redshift set to z=-9.999. It is clear from the discussions on the first simulations that ~500 objects with spectroscopic redshifts are not sufficient to train most empirical codes on the data. Nevertheless, we would like to encourage all people using empirical codes to try to get the best possible redshifts out of the data. They might not be competitive with template-based results in the end, but it is interesting in its own right what can be done with this limited amount of information.
>
>
The catalogue contains photometry in 18 bands for 1984 objects originating from different observing programmes and spanning a wide redshift range.

  • Redshift Distribution:
    z_dist.png

One quarter of the objects comes with spectroscopic redshifts for training purposes. All other objects have their redshift set to z=-9.999. It is clear from the discussions on the first simulations that ~500 objects with spectroscopic redshifts are not sufficient to train most empirical codes on the data. Nevertheless, we would like to encourage all people using empirical codes to try to get the best possible redshifts out of the data. They might not be competitive with template-based results in the end, but it is interesting in its own right what can be done with this limited amount of information.

 Photometry is available in the bands U (KPNO), BVRIZ (Subaru), JH (WFCAM), H/K, K () F435W, F606W, F775W, F850LP (ACS), and in the four Spitzer bands. Please run your code twice, once including the Spitzer photometry and once excluding it. Send the results to hendrik[at]strw.leidenuniv.nl.
Line: 16 to 21
 GoodsNorthResults
Changed:
<
<
-- HendrikHildebrandt - 11 Aug 2008
>
>
-- HendrikHildebrandt - 15 Dec 2008
 
META FILEATTACHMENT attachment="HDFN.tar.gz" attr="" comment="catalogue and filter curves" date="1218613498" name="HDFN.tar.gz" path="HDFN.tar.gz" size="645362" stream="HDFN.tar.gz" user="Main.TWikiGuest" version="1"
Added:
>
>
META FILEATTACHMENT attachment="z_dist.png" attr="" comment="" date="1229338288" name="z_dist.png" path="z_dist.png" size="14704" stream="z_dist.png" user="Main.TWikiGuest" version="1"

Revision 113 Aug 2008 - Main.TWikiGuest

Line: 1 to 1
Added:
>
>
META TOPICPARENT name="PhatTestSteps"

Observational catalogue, GOODS-North

Many people requested to have a next test step that involves real data. While this is not the most systematic route it is probably the most exciting. We can still go one or two steps back with dedicated simulations later.

Peter Capak has compiled a catalogue with observational data from the GOODS-North field which you can download here together with the filter curves:

HDFN.tar.gz

The catalogue contains photometry in 18 bands for 1984 objects originating from different observing programmes and spanning a wide redshift range. One quarter of the objects comes with spectroscopic redshifts for training purposes. All other objects have their redshift set to z=-9.999. It is clear from the discussions on the first simulations that ~500 objects with spectroscopic redshifts are not sufficient to train most empirical codes on the data. Nevertheless, we would like to encourage all people using empirical codes to try to get the best possible redshifts out of the data. They might not be competitive with template-based results in the end, but it is interesting in its own right what can be done with this limited amount of information.

Photometry is available in the bands U (KPNO), BVRIZ (Subaru), JH (WFCAM), H/K, K () F435W, F606W, F775W, F850LP (ACS), and in the four Spitzer bands. Please run your code twice, once including the Spitzer photometry and once excluding it. Send the results to hendrik[at]strw.leidenuniv.nl.

Results

GoodsNorthResults

-- HendrikHildebrandt - 11 Aug 2008

META FILEATTACHMENT attachment="HDFN.tar.gz" attr="" comment="catalogue and filter curves" date="1218613498" name="HDFN.tar.gz" path="HDFN.tar.gz" size="645362" stream="HDFN.tar.gz" user="Main.TWikiGuest" version="1"
 
This site is powered by the TWiki collaboration platformCopyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding TWiki? Send feedback