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SPHINX DATA ANALYSIS SPHINX DATA ANALYSIS

SPHINX DATA ANALYSIS - PowerPoint Presentation

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SPHINX DATA ANALYSIS - PPT Presentation

Magdalena Gryciuk Astronomical Institute University of Wroclaw Space Research Centre Polish Academy of Sciences I SOLARNET SPRING SCHOOL WROCŁAW 28032014 SPHINX INSTRUMENT SPHINX ID: 249546

time sphinx 2009 flare sphinx time flare 2009 flares data parameters ray start catalogue solar points continuous background step

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Slide1

SPHINX DATA ANALYSIS

Magdalena Gryciuk

Astronomical Institute, University of

Wroclaw

Space Research Centre, Polish Academy of Sciences

I SOLARNET SPRING SCHOOL, WROCŁAW, 28.03.2014 Slide2

SPHINX INSTRUMENT

SPHINX

OBSERVATIONS

SPHINX & GOES

SMALL EVENTS CATALOGUESCIENCE WITH SPHINX

OutlineSlide3

SphinX

BASIC INFORMATIONS

LAUNCHED:

30 January 2009 at 13:30 UT from Plesetsk CosmodromSATELLITE: CORONAS – Photon

ORBITS PARAMETERS:

orbit duration-

96minaltitude

- 550km near polar orbit

MASS:

3.7 kg

POWER:

10 W

ENERGY RANGE

:

1

.2 keV - 15 keV in 256 energy binsLIFESPAN OF THE MISSION: 20 February - 29 November 2009

SphinX

:

Solar Photometer in X-ray

SphinX

CORONAS - Photon

SphinX

missionSlide4

Count

rate [count/s]

SphinX

Mission

Observations

, 2009

http://156.17.94.1/sphinx_l1_catalogue/SphinX_cat_main.html

NEW SXR FLARES CLASSES

S CLASS -

S1 = 1. e

-09

W/m

2 Q CLASS - Q1 = 1. e-10 W/m2

F

lux

[W/m

2]GOES 3.726e-09 W/m2 3.7 S SphinX level1 data catalogue-

The catalog contains data from D1 SphinX

detector All available data files are stored in FITS format

(OGIP-93/003 format)Slide5

SphinX

& GOES

observations

GOES Threshold

GOES threshold = 3.726e-09 W/m

2 3.7 SD1 minimum

= ~2.e-10 W/m2

2.0 QSlide6

SphinX

Events List -

automatic detection algorithm

EVENT LIST STEP BY STEP:1. Data preparation: Resampling and averaging of SphinX light curve (optimal: 70s)2. Searching for continuous increase of 4 consecutive points and 3 continuous decreases points after them3. Finding times of maxima between increasing and decreasing series of points4. Visual inspection and corrections

Log count/s

Algorithm step by step:

1. Data preparation: Resampling and averaging of

SphinX

light curve (optimal: 70s)

2. Searching for continuous increase of 4 consecutive points

and 3 continuous decreases points after them

3. Finding times of maxima between increasing and decreasing series

of

points

4. Visual inspection and corrections

Algorithm have detected 1431

FLARESSlide7

Flares

Characteristics

T

start time of start

Tend

time of end

Tmax

time of

maximum

Flare

magnitude

1%

above the background level

Linear

background

fbackg (t) = E t + F

Tstart Tmax

Tend

Flare magnitude

Optimal

fitting

Flare

after

background

subtractionSlide8

Convolution

of

two

functions

Gauss

function

Exponential

function

Elementary

S

oft

X-ray

Flare

Profile

Linear

background

FLARE PROFILE FORMULA:

*

4

parameters

(

flare

) +

2

parameters

(

linear

background-attributable

) = 6 PARAMETERS

Linear

scale

Log

scaleSlide9

S

imple

Flares

Observed by

SphinX

26 May 2009

A 1.01

10:34:04

10:44:47

11:06:42

Time

start

Time

max

Time

endSlide10

S

imple

Flares

Observed by

SphinX

04

June

2009

A 8.40

17:56:10

18:00:56

18:21:12

Time

start

Time

max

Time

endSlide11

S

imple

Flares

Observed by

SphinX

07

July

2009

A 9.95

10:06:43

10:08:38

10:22:08

Time

start

Time

max

Time

endSlide12

Blended

Flares

05

June

2009Slide13

Work

on

SphinX

flaring events catalogue: FLARE ID ,

Time

start ,

Time

max ,

Timeend

,

Flare

magnitude

Extended

catalogue

(Temperatures, Fluxes, …)Flare

characteristics

analysis

Analysis

of flare flux observation in 1-8 Å wavelength rangeSphinX

Catalogue - Future

PlansSlide14

The

following research areas, in which

SphinX measurements may find application, have been identified:

• Analysis of the Sun as a star

• Investigation of quiet-Sun soft X-ray flux• Observations of active regions• Identification of small solar events and analysis of their energetics and statistical properties• Space weather and

climate• Characterization of the particle environment in the CORONAS–PHOTON

orbit• Determination of coronal plasma physical

parameters• Search for transient and non-Maxwellian

processes in solar plasma

• Comparison of soft X-ray flux and TSI variability

• Cross-comparison with other X-ray

spectrometers

• Verification of the abundance and ionization equilibrium models used in

solar spec

troscopySlide15

Thank

You