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Pipeline stepNIRISS statusNIRISS commentsNIRCam statusNIRCam commentsMIRI statusMIRI commentsNIRSpec statusNIRSpec comments
outlier_detection

Status
colourGreen
titleDone

Testing and validation done. Found some problems both with the documentation (

Jira
serverSTScI JIRA
serverIdaac911eb-9c55-3f14-8368-77b436fb6dc2
keyJP-1647
) and with the effectiveness of the algorithm itself. On this latter point, the algorithm marks as outliers points that are predominantly on the edges of the SOSS profile (
Jira
serverSTScI JIRA
serverIdaac911eb-9c55-3f14-8368-77b436fb6dc2
keyJP-1654
). The algorithm also doesn't use time-series information at all, and only uses the median image to catch outliers (
Jira
serverSTScI JIRA
serverIdaac911eb-9c55-3f14-8368-77b436fb6dc2
keyJP-1655
). In my opinion, algorithm currently not optimal for NIRISS/SOSS TSOs at least.

Status
colourGreen
titletodoDONE


Status
titletodo


Status
titletodo


tso_photometry

N/A


Status
titletodo


Status
titletodo

have successfully run TSO imaging simulations through Image2 and TSO3 but no notebooks yet for individual steps. high level checks looked good.

Status
titletodo


extract_1d

Status
colourRed
titleDone

This step currently extracts a big chunk of the whole subarray as a spectrum, which produced order overlap, which makes this step produce an unusable product for science right now. An algorithm is in development for this step. For details, see 

Jira
serverSTScI JIRA
serverIdaac911eb-9c55-3f14-8368-77b436fb6dc2
keyJP-201
.

Status
titletodo


Status
titletodo


Status
titletodo


white_light

Status
titletodo


Status
todo
colourGreen
titleDONE

Runs without a crash. Jira ticket issued for defining min/max wavelength for white light curve: 

Jira
serverSTScI JIRA
serverIdaac911eb-9c55-3f14-8368-77b436fb6dc2
keyJP-1469

Status
titletodo


Status
titletodo


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