Changeset 41234 for trunk/doc/release.2015/ps1.datasystem/response.v1.txt
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- Jan 28, 2020, 9:57:55 AM (6 years ago)
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trunk/doc/release.2015/ps1.datasystem/response.v1.txt
r41208 r41234 1 1 2 ** We are resubmitting our article "The Pan-STARRS Data Processing 3 System" after addressing suggestions raised by the referee. We 4 thank the referee for detailed comments and suggestions. Below are 5 our responses to the referee's suggestions. (Our responses are 6 preceeded by "**") 7 8 # General Notes 9 10 This is a well-written and important technical paper that succeeds 11 admirably at what I consider the most important goal of any pipeline 12 paper: providing a decription of the processing steps that are 13 relevant for downstream science users (in this case, by providing the 14 big picture that ties together a number of more detailed papers). With 15 only a handful of minor cleanups (see detailed notes below), I think 16 the paper is ready for publication, and most of my comments represent 17 ideas for improvement that I hope the authors will consider (but 18 should not feel obliged to act on). 19 20 My only general concern is that the paper often misses the opportunity 21 to pass on lessons learned to the developers of future pipelines, and 22 this makes much of the detailed description of how the PS1 systems 23 work (particularly in Section 5) feel like it belongs more in operator 24 documentation rather than an article like this one. I suspect a small 25 amounof additional historical context - how different systems evolved 26 over the course of the survey - and commentary on what worked well and 27 what was a regular pain point would go a long way. 28 29 In particular, the described system seems to involve a both fair 30 amount of duplication (e.g. multiple databases, sky-tiling systems, 31 and task orchestration layers) and a number of in-house solutions to 32 what seem like fairly general problems (the DVO database and 33 especially the pantask/opihi system stand out in this regard). This is 34 not intended as criticism; I am quite aware that there are many good 35 reasons for both duplication and keeping central components in-house, 36 from deliberately keeping components loosely coupled to taking into 37 account the often-brief shelf-life of off-the-shelf solutions, 38 especially as compared to the duration of a major astronomical 39 survey. But describing *which* of many potential reasons actually 40 played a role in each of various design choices (and which, if any, 41 look less good in hindsight) would make the paper much more 42 interesting. 43 44 ** We have greatly expanded the Conclusion to address these questions, 45 and to identify choices we made which either turned out well or 46 which we would have done differently given changes to the software 47 landscape. 2 48 3 49 # Detailed Notes
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