Earlier this week Elon Musk set out his team's expectations for #Starlink satellites over the next 18 months. I thought I would use this month's #SOCRATES analysis to see what the Starlink team should expect in terms of conjunctions & manoeuvres over that period & beyond [1/n]
Before I start, I'd like to offer my thanks to @planet4589 for creating a page on his website with data that enabled me to move forwards with a critical part of the analysis. Thanks also go to @TSKelso for ongoing support and provision of SOCRATES data via @CelesTrak [2/n]
This month we open with the number of conjunctions within 5 km or less predicted for each week from December 2018 to the end of March 2022. Something extraordinary has happened because of #Starlink and the ASAT test in November: a 400% increase in less than 3 years [3/n]
The 1 km conjunction data show a similar increase although it's a little more muted. The last #SOCRATES report from 31 March 2022 predicted 7513 conjunctions within 1 km or less for the first week of April. [4/n]
Work by @COMSPOC suggests that conjunctions involving fragments caused by the intentional destruction of Cosmos 1408 will come in 'squalls' over the next year spacenews.com/russian-asat-d…. We're currently in one of the year's worst. [5/n]
Looking at the predicted conjunctions with a collision probability greater than 1-in-10,000 (a common manoeuvre threshold) we see a similar increase in the count, but now it seems to be dominated by events involving #Starlink & not events involving Cosmos 1408 debris. [6/n]
Here's the predicted count for conjunctions with collision probability greater than 1-in-100,000 (the threshold used by #Starlink for manoeuvres). There is some involvement by Cosmos 1408 debris here but again #Starlink dominates. [7/n]
If we now focus only on conjunctions within 5 km involving #Starlink satellites (but excluding Starlink-on-Starlink events) we continue to see the non-linear trend through time in spite of a modest reduction in the count over the last month (2nd-order poly has R^2 = 0.983). [8/n]
It's a similar story for the conjunctions within 1 km: a small reduction in the count since last month but an ongoing non-linear increase overall (2nd-order poly has R^2 = 0.975). [9/n]
The count for conjunctions with a collision probability greater than 1-in-10,000 & involving #Starlink shows the same trend (remember the number of conjunctions are taken from each #SOCRATES report, which covers predictions for a 7-day period). [10/n]
Here's where we start to get a sense of the operational implications arising from all of these conjunctions, because the autonomous collision avoidance system employed by #Starlink triggers a manoeuvre if the collision probability is greater than 1-in-100,000 [11/n]
The #SOCRATES data suggest about 210 manoeuvres are made every week, or 30 per day. [12/n]
When we add all of the (predicted) manoeuvres, we find that #Starlink passed an important threshold in March: 10,000 collision avoidance manoeuvres. A 3rd-order poly fits the line shown in the graph with R^2 = 1.0 (hence the manoeuvre rate would have a 2nd-order poly fit) [13/n]
Here's where the data from @planet4589 comes in. Jonathan provided me with a count of the number of #Starlink satellites in orbit (amongst other things). This means that I can extend the analysis to look at how the satellite count affect the conjunctions & manoeuvres [14/n]
This is how the number of #Starlink satellites in-orbit (operational & failed) affects the number of conjunctions within 5 km predicted by #SOCRATES (these are only conjunctions involving Starlink & excluding Starlink-on-Starlink) [15/n]
These are the data for the corresponding conjunctions within 1 km [16/n]
And for the conjunctions with collision probability greater than 1-in-100,000 [17/n]
Finally, we get to the relationship between the number of #Starlink satellites in orbit and the collision avoidance manoeuvre rate (shown as the number per day) [18/n]
You may have spotted the trendlines in the last few graphs. We can now use those to make predictions about the number of conjunctions & manoeuvres that might be expected once the number of satellites in orbit reaches 4200 [19/n]
A brief warning before I show you the prediction results: many things could affect the models (trendlines), including fragmentation events, space weather, solar activity, non-Starlink launches, so please approach with caution. Nevertheless, the results are... astounding [20/n]
The model suggests that 4200 #Starlink satellites in orbit would result in 56,200 conjunctions within 5 km per week involving Starlink (but excluding Starlink-on-Starlink). Extrapolating to 32,000 Starlink satellites & we might see 3 million conjunctions per week [21/n]
The 1 km conjunction model suggests that 4200 #Starlink satellites in orbit would result in 1980 conjunctions per week involving Starlink, but more than 100,000 conjunctions per week once the constellation reaches 32,000 satellites [22/n]
And finally, the model suggests that 4200 #Starlink satellites in orbit would require a total of 105 collision avoidance manoeuvres per day. That's roughly equivalent to 1 out of every 40 Starlink satellites manoeuvring on a daily basis, on average. [23/n]
Extrapolating to a #Starlink constellation with 32,000 satellites in orbit suggests 5425 collision avoidance manoeuvres per day (nearly 2 million per year) involving 1 out of 6 satellites in the constellation, on average. [24/n]
The last tweet is why I tend to talk about the 'burden' that is placed on operators and regulators by large constellations of satellites. [25/n]
That's not all. The law of very large numbers will tell you that very low probability events can happen if given enough opportunities. Even with an autonomous system taking action at a relatively low probability level, we might expect to see a #Starlink collision [26/n]
Then, of course, we have 'lethal non-trackable' objects. It's not possible to manoeuvre for things we cannot track. Even if we track them, the number of conjunctions increases to even higher levels, possibly resulting in a change to accepted collision probability levels... [27/n]
...that result in fewer manoeuvres but the neglect of greater risk. [28/n]
That's it for this month's #SOCRATES & #Starlink analysis. Thanks for reading this far. [29/29]
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Welcome to this month's look at #Starlink conjunction risk mitigation manoeuvres. Through 30 April 2023, I estimate that Starlink satellites have made a total of > 45,000 manoeuvres to mitigate the risk of colliding with other space objects [1/n]
A better relationship to consider is the one between the (cumulative) number of manoeuvres and the (cumulative) number of Starlink satellites launched. The growth is a non-linear function of the number of Starlink satellites [2/n]
Here, I looked at the manoeuvre estimates/reports in 6-monthly intervals, corresponding to the reporting periods used by SpaceX. Additionally, I added a prediction to the end of 2024 based on an exponential fit through 30 April 2023. [3/n]
I've been thinking about the new proposed @FCC "five-year rule" for #SpaceDebris mitigation & wanted to share some analysis & thoughts. Whilst I think the intentions are good I believe the implications of the change are poorly understood. Let me explain... [1/n]
As @brianweeden's excellent thread explains, "The new proposed ruling would require all FCC licensed satellites that end their life in LEO to re-enter the atmosphere within 5 years, and ideally ASAP." [2/n]
Latest analysis for #Starlink & #OneWeb shows these two constellations accounted for 42% of all close approaches within 5 km predicted by #SOCRATES at the end of August, with Starlink alone accounting for 29%. [1/n]
On average, #SOCRATES predicts that each #Starlink satellite will now experience 1 close approach within 5 km with a non-Starlink object every day, and each #OneWeb satellite will experience 3.4 close approaches with a non-OneWeb object every day. These rates are increasing [2/n]
Here's the same data from [2/n] plotted with respect to the number of satellites in each constellation in orbit, clearly showing #SOCRATES predicts that #OneWeb satellites experience more close approaches (within 5 km) per satellite than the #Starlink satellites [3/n]
A follow-on from yesterday's thread with a note about averages. In a #SOCRATES report from 30 June 2022 the average collision probability for each #Starlink conjunction was 3.7E-6 but the range of values can be broad (chart shows data since 2019) [1/n]
#SOCRATES predicted some events with a collision probability > 1E-2 (1-in-100) & some with a probability < 1E-7 (1-in-10,000,000). The average value might seem to be almost negligible & you might think all conjunctions would be similar, but that's not the case [2/n]
In addition, some #Starlink & #OneWeb satellites experience more conjunctions than others. Most satellites experience relatively few encounters but a few satellites are involved in a relatively large number (charts shows data for 7 days from 30 June 2022) [3/n]
Welcome to my (delayed) monthly analysis of @CelesTrak#SOCRATES conjunctions. Since 1 March 2019, SOCRATES has predicted about 9 million unique conjunctions within 5 km involving active or derelict payloads. This is a thread focused on those involving #OneWeb & #Starlink [1/n]
#OneWeb payloads have accounted for ~500,000 unique conjunction predictions since 1 March 2019 (5.5% of all predictions made), while #Starlink payloads have accounted for ~1.1 million (12.5%) [2/n]
On 1 March 2019 #SOCRATES predicted ~3860 unique conjunctions within 5 km. On 30 June 2022 the corresponding number was ~10,160, an increase of ~160%. #Starlink accounted for ~2570 (25%) & #OneWeb accounted for ~1250 (12%) [3/n]
In advance of my monthly analysis of #Starlink conjunction data I wanted to share some additional analysis undertaken over the last few days. It's a work in progress but here's a thread looking a little deeper at the #SpaceX approach to #Starlink orbital space safety [1/n]
My focus has mostly been on understanding the implications relating to the choice of the probability threshold for collision avoidance manoeuvres. With the #SOCRATES#Starlink data now running across nearly 3 years we can gain some insights that may be useful [3/n]