HUDF09 Data Release 1.0

The Hubble Ultra Deep Field 2009 (HUDF09) program observations obtained by HST program 11563 (PI: Garth Illingworth) in Cycle 17 has made publicly available. The program uses WFC3/IR as the prime instrument for 192 orbits to image the deep ACS fields that were obtained in the original HUDF (PI: Steven Beckwith) program and in the HUDF05 (PI: Massimo Stiavelli) program. We have released the data products for this program as an HST High Level Science Product.

This data can be downloaded from the HST MAST High Level Science Products archive.

GOODS NICMOS Archival Data

As a part of the HST 10937 (Archival Research) proposal titled Probing the Galaxy Population at z~7-10 Using Archival ACS & NICMOS data PI Rychard Bouwens and colleagues retrieved and process nearly all NICMOS camera 3 F110W and F160W data taken over the GOODS North and South fields.

This data can be downloaded from the HST MAST High Level Science Products archive.



NICRED is an automatic image processing pipeline for data taken with the Near Infrared Camera and Multi-Object Spectrometer (NICMOS) instrument on the Hubble Space Telescope (HST). The pipeline currently supports imaging data from camera 2 and 3 and is written in Python and C making it portable across many platforms. The automated processing steps include basic calibration (removing the instrumental signature), cosmic-ray removal, treatment for post-SAA cosmic ray persistence and electronic ghosts (a.k.a. the "Mr. Staypuft" effect), sky subtraction, non-linear count-rate correction, artifact masking, robust alignment and registration for large mosaics, weight map generation, and drizzling onto a final image mosaic. NICRED can combined data across different HST observations, visits and proposals with the need for any pre-defined associations. NICRED creates image products with a signal-to-noise ratio that matches the most careful step-by-step manual NICMOS reductions.

You can view the documentation and download the complete NICRED package from our NICRED page.


Apsis in an automatic image processing pipeline for the Hubble Space Telescope's Advanced Camera for Surveys (ACS) instrument. The pipeline supports processing of images from the HRC and WFC cameras on the ACS instrument and is written in Python. The processing steps include empirical determination of image offsets and rotation, cosmic ray rejection, image combination using the drizzle routine called via the STScI Pyraf package, object detection and photometry using SExtractor.

You can view the documentation and download the complete APSIS code from our APSIS page.