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Last modified: 27 June 2019

URL: http://cxc.harvard.edu/ciao/releasenotes/ciao_4.10_release.html

CIAO 4.10 Release Notes


CIAO 4.10 is distributed for the following platforms:

Users can install CIAO with either Python 2.7 or with Python 3.5 (default). Both Python 2.7 and Python 3.5 versions can be installed but must be installed into separate directories.

CIAO is no longer available for 32bit Linux operating systems or for older 64bit Linux systems (CentOS 5 era). CIAO is also no longer available for older versions of OSX: OSX Mavericks and earlier. CIAO 4.7 is still available for users who are unable to upgrade. More details on the Platform Support page.

Notable changes and improvements in CIAO 4.10:



How CALDB 4.8.1 Affects Your Analysis

CALDB 4.8.1 Release Notes (release 25 October 2018)

ACIS Imaging and Grating Data


How CALDB 4.8.0 Affects Your Analysis

CALDB 4.8.0 Release Notes (release 11 September 2018)

ACIS Imaging and Grating Data


How CALDB 4.7.9 Affects Your Analysis

CALDB 4.7.9 Release Notes (release 28 June 2018)

ACIS Imaging and Grating Data

HRC Grating and Imaging Data


How CALDB 4.7.8 Affects Your Analysis

CALDB 4.7.8 Release Notes (release 19 March 2018)

ACIS Imaging and Grating Data

HRC-S Data


Installation

Users should be aware of these installation items before installing CIAO 4.10. Additional problems which are seen less frequently are listed on the Installation & Smoke Tests bug page.

Supported Platforms

Updates to the ciao-install Installation Script

IPython Settings

Remove old parameter files


PixelMasks

CIAO 4.10 introduces support for pixel mask filters. These are 2D images whose pixels indicates which data are to be removed (pixels equal to zero) or included (pixels not equal to zero).

unix% dmcopy "acis_evt.fits[sky=mask(mask_image.fits)]" filtered_evt.fits

Pixel masks complement the existing shaped based region filters (circles, ellipses, polygons, boxes, etc) and can be used in many of the same ways as regions.

The new Using Pixel Mask Filters thread provides an introduction to masks. Be sure to check the pixel mask bug page for known bugs important caveats.


Tools

acis_find_afterglow

aconvolve

addresp

celldetect

destreak

dither_region

dmdiff

dmextract

dmfilth

dmimgfilt

dmimg2jpg

dmimgpick

dmlist

dmmakereg

hrc_process_events

roi

skyfov

sso_freeze

tg_choose_method

tgdetect2


Parameter Files

A summary of parameter files changes is provided in this section. Refer to the Tools and Analysis Scripts sections of these release notes for complete details.

We recommend deleting all the old parameter files or renaming the parameter-file directory before running any new version of CIAO to avoid conflicts. More information is available in the FAQ.

celldetect

dither_region

hrc_process_events

roi


ChIPS


Sherpa

Sherpa is developed as a community project, and is available on GitHub. Comments, fixes, and additions from the community are welcomed. There are additional releases for this version throughout the year, and can be installed either directly from GitHub or using the conda package manager, as described on the standalone Sherpa page.

XSpec

Bug fixes


Graphical User Interfaces

obsvis

peg


Analysis Scripts

list_datasetid

acis_bkgrnd_lookup

blanksky_image

combine_grating_spectra

download_obsid_caldb

fullgarf

make_psf_asymmetry_region

mktgresp

install_marx

simulate_psf

specextract

merge_obs

ciao_contrib._tools.run

ciao_contrib.cda.search

ciao_contrib.runtool

sherpa_contrib.profiles

various


Python Modules

crates

region


Libraries

caldb

cxcparam

history

dm

region

stack


Environment

Off-the-Shelf (OTS) Package Versions

Compiler versions


Documentation

Many pages have been updated to reflect the changes in this release. Several analysis threads are still under review.