Science Tools Working Group
We'll skip having a meeting this week; the time slot will be used for a session on source identification convened by the Catalog group.
Since last Thursday, the current version of the Science Tools v9r5p1. Here are the differences from v9r5. The most important changes relate to IRFs; see below.
If you weren't one of the 46 people in the C&A meeting on Monday, you might want to check out Toby and Matthew's presentations yesterday on spectral analysis PointLike.
Data products: No news.
Databases and related utilities
No news
Likelihood analysis
Jim's implementation of calculation of TS for diffuse sources in pyLikelihood, mentioned last week, is in v9r5p1
GRB tools
No news
Pulsar tools
Masa and James expect to start coding this week to allow multiple binary timing models in the pulsar tools.
Observation simulation
No news
User interface and infrastructure (& utilities)
See Jim's note to irflist regarding the updates to IRF-related packages in v9r5p1. Riccardo's presentation in the C&A meeting yesterday provides a synopsis.
Here are the IRF sets that gtirfs reports are available in v9r5p1:
P5_v13_0_diff ( = P5_v13_0_diff::FRONT + P5_v13_0_diff::BACK ) |
P5_v13_0_diff::BACK |
P5_v13_0_diff::FRONT |
P5_v13_0_source ( = P5_v13_0_source::FRONT + P5_v13_0_source::BACK ) |
P5_v13_0_source::BACK |
P5_v13_0_source::FRONT |
P5_v13_0_trans ( = P5_v13_0_trans::FRONT + P5_v13_0_trans::BACK ) |
P5_v13_0_trans::BACK |
P5_v13_0_trans::FRONT |
PASS4 ( = PASS4::FRONT + PASS4::BACK ) |
PASS4::BACK |
PASS4::FRONT |
PASS4_v2 ( = PASS4_v2::FRONT + PASS4_v2::BACK ) |
PASS4_v2::BACK |
PASS4_v2::FRONT |
PASS5_v0 ( = PASS5_v0::FRONT + PASS5_v0::BACK ) |
PASS5_v0::BACK |
PASS5_v0::FRONT |
PASS5_v0_DIFFUSE ( = PASS5_v0_DIFFUSE::FRONT + PASS5_v0_DIFFUSE::BACK ) |
PASS5_v0_DIFFUSE::BACK |
PASS5_v0_DIFFUSE::FRONT |
PASS5_v0_TRANSIENT ( = PASS5_v0_TRANSIENT::FRONT + PASS5_v0_TRANSIENT::BACK ) |
PASS5_v0_TRANSIENT::BACK |
PASS5_v0_TRANSIENT::FRONT |
Source Catalog
Met last week. The multi-band method that Jean and Ludovic have implemented for MRfilter have made it (currently) the best-performing source detection algorithm. The same approach will likely improve the performance of PGWave as well. UW pointfind (which inspired the mult-band approach) is not far behind and has a performance advantage in the vicinity of bright sources. Toby described the new command-line interface for pointfit. We also discussed the current state of using the Big Run backgrounds to make resampled (Pass 5) backgrounds for gtobssim simulations.